- AbbrAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AbbrAnnotation
-
- abbreviation - Variable in enum edu.stanford.nlp.trees.GrammaticalStructureConversionUtils.ConverterOptions
-
- AbgeneAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AbgeneAnnotation
-
- absoluteDifference(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns |c1 - c2|.
- absolutelyDiscountedDistribution(Counter<E>, int, double) - Static method in class edu.stanford.nlp.stats.Distribution
-
- AbstractCachingDiffFloatFunction - Class in edu.stanford.nlp.optimization
-
- AbstractCachingDiffFloatFunction() - Constructor for class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
-
- AbstractCachingDiffFunction - Class in edu.stanford.nlp.optimization
-
A differentiable function that caches the last evaluation of its value and
derivative.
- AbstractCachingDiffFunction() - Constructor for class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
-
- AbstractCollinsHeadFinder - Class in edu.stanford.nlp.trees
-
A base class for a HeadFinder similar to the one described in
Michael Collins' 1999 thesis.
- AbstractCollinsHeadFinder(TreebankLanguagePack, String...) - Constructor for class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
-
Construct a HeadFinder.
- AbstractCoreLabel - Interface in edu.stanford.nlp.ling
-
- AbstractCounter<E> - Class in edu.stanford.nlp.stats
-
Default implementations of all the convenience methods provided by
Counter
.
- AbstractCounter() - Constructor for class edu.stanford.nlp.stats.AbstractCounter
-
- AbstractDependencyGrammar - Class in edu.stanford.nlp.parser.lexparser
-
An abstract base class for dependency grammars.
- AbstractDependencyGrammar(TreebankLanguagePack, TagProjection, boolean, boolean, boolean, Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- AbstractEval - Class in edu.stanford.nlp.parser.metrics
-
A framework for Set-based precision/recall/F1 evaluation.
- AbstractEval() - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval
-
- AbstractEval(boolean) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval
-
- AbstractEval(String) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval
-
- AbstractEval(String, boolean) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval
-
- AbstractEval.CatErrorEval - Class in edu.stanford.nlp.parser.metrics
-
This class counts which categories are over and underproposed in trees.
- AbstractEval.RuleErrorEval - Class in edu.stanford.nlp.parser.metrics
-
- AbstractEval.ScoreEval - Class in edu.stanford.nlp.parser.metrics
-
This isn't really a kind of AbstractEval: we're sort of cheating here.
- AbstractIterator<E> - Class in edu.stanford.nlp.util
-
Iterator with remove()
defined to throw an
UnsupportedOperationException
.
- AbstractIterator() - Constructor for class edu.stanford.nlp.util.AbstractIterator
-
- AbstractLinearClassifierFactory<L,F> - Class in edu.stanford.nlp.classify
-
- AbstractLinearClassifierFactory() - Constructor for class edu.stanford.nlp.classify.AbstractLinearClassifierFactory
-
- AbstractSequenceClassifier<IN extends CoreMap> - Class in edu.stanford.nlp.ie
-
This class provides common functionality for (probabilistic) sequence models.
- AbstractSequenceClassifier(Properties) - Constructor for class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Construct a SeqClassifierFlags object based on the passed in properties,
and then call the other constructor.
- AbstractSequenceClassifier(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Initialize the featureFactory and other variables based on the passed in
flags.
- AbstractStochasticCachingDiffFunction - Class in edu.stanford.nlp.optimization
-
- AbstractStochasticCachingDiffFunction() - Constructor for class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
- AbstractStochasticCachingDiffFunction.SamplingMethod - Enum in edu.stanford.nlp.optimization
-
- AbstractStochasticCachingDiffUpdateFunction - Class in edu.stanford.nlp.optimization
-
Function for stochastic calculations that does update in place
(instead of maintaining and returning the derivative).
- AbstractStochasticCachingDiffUpdateFunction() - Constructor for class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
-
- AbstractStringAnnotationPattern() - Constructor for class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.AbstractStringAnnotationPattern
-
- AbstractToken - Interface in edu.stanford.nlp.ling
-
An abstract token.
- AbstractTokenizer<T> - Class in edu.stanford.nlp.process
-
An abstract tokenizer.
- AbstractTokenizer() - Constructor for class edu.stanford.nlp.process.AbstractTokenizer
-
- AbstractTreebankLanguagePack - Class in edu.stanford.nlp.trees
-
This provides an implementation of parts of the TreebankLanguagePack
API to reduce the load on fresh implementations.
- AbstractTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Gives a handle to the TreebankLanguagePack.
- AbstractTreebankLanguagePack(char) - Constructor for class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Gives a handle to the TreebankLanguagePack.
- AbstractTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser
-
An abstract class providing a common method base from which to
complete a TreebankLangParserParams
implementing class.
- AbstractTreebankParserParams(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Stores the passed-in TreebankLanguagePack and sets up charset encodings.
- AbstractTreebankParserParams.AnnotatePunctuationFunction - Class in edu.stanford.nlp.parser.lexparser
-
Annotation function for mapping punctuation to PTB-style equivalence classes.
- AbstractTreebankParserParams.RemoveGFSubcategoryStripper - Class in edu.stanford.nlp.parser.lexparser
-
The job of this class is to remove subcategorizations from
tag and category nodes, so as to put a tree in a suitable
state for evaluation.
- AbstractTreebankParserParams.SubcategoryStripper - Class in edu.stanford.nlp.parser.lexparser
-
The job of this class is to remove subcategorizations from
tag and category nodes, so as to put a tree in a suitable
state for evaluation.
- AbstractTreeExtractor<T> - Class in edu.stanford.nlp.parser.lexparser
-
An abstract superclass for parser classes that extract counts from Trees.
- AbstractTreeExtractor(Options) - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
-
- AbstrAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AbstrAnnotation
-
- accept(File) - Method in class edu.stanford.nlp.io.ExtensionFileFilter
-
Checks whether a file satisfies the selection filter.
- ACCEPT - Static variable in interface edu.stanford.nlp.io.Lexer
-
- accept(File) - Method in class edu.stanford.nlp.io.NumberRangeFileFilter
-
Checks whether a file satisfies the number range selection filter.
- accept(File) - Method in class edu.stanford.nlp.io.NumberRangesFileFilter
-
Checks whether a file satisfies the number range selection filter.
- accept(String) - Method in class edu.stanford.nlp.io.NumberRangesFileFilter
-
Checks whether a String satisfies the number range selection filter.
- accept(File) - Method in class edu.stanford.nlp.io.RegExFileFilter
-
Checks whether a file satisfies the selection filter.
- acceptFilter() - Static method in class edu.stanford.nlp.util.Filters
-
The acceptFilter accepts everything.
- accepting - Variable in class edu.stanford.nlp.fsm.DFSAState
-
- accuracy() - Method in class edu.stanford.nlp.classify.PRCurve
-
- AccuracyStats<L> - Class in edu.stanford.nlp.stats
-
Utility class for aggregating counts of true positives, false positives, and
false negatives and computing precision/recall/F1 stats.
- AccuracyStats(ProbabilisticClassifier<L, F>, GeneralDataset<L, F>, L) - Constructor for class edu.stanford.nlp.stats.AccuracyStats
-
- AccuracyStats(L, String) - Constructor for class edu.stanford.nlp.stats.AccuracyStats
-
- acos(double) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Compute acos very quickly by directly looking up the value.
- Action(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- activate(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
-
- active - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
- activeFeatures - Variable in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
-
- adaAlpha - Variable in class edu.stanford.nlp.parser.nndep.Config
-
Initial global learning rate for AdaGrad training
- adaDeltaRho - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- adaEps - Variable in class edu.stanford.nlp.parser.nndep.Config
-
An epsilon value added to the denominator of the AdaGrad
expression for numerical stability
- adaGradEps - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- adapt(String, Dataset<String, String>, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- adapt(ObjectBank<List<IN>>, Dataset<String, String>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- adapt() - Static method in class edu.stanford.nlp.util.logging.JavaUtilLoggingAdaptor
-
- AdaptedGaussianPriorObjectiveFunction<L,F> - Class in edu.stanford.nlp.classify
-
Adapt the mean of the Gaussian Prior by shifting the mean to the previously trained weights
- AdaptedGaussianPriorObjectiveFunction(GeneralDataset<L, F>, LogPrior, double[][]) - Constructor for class edu.stanford.nlp.classify.AdaptedGaussianPriorObjectiveFunction
-
- adaptFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
NER adaptation (Gaussian prior) parameters.
- adaptSigma - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- adaptWeights(Dataset<L, F>, LinearClassifierFactory<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
- adaptWeights(double[][], GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
Adapt classifier (adjust the mean of Gaussian prior).
- add(Datum<L, F>) - Method in class edu.stanford.nlp.classify.Dataset
-
- add(Collection<F>, L) - Method in class edu.stanford.nlp.classify.Dataset
-
- add(Collection<F>, L, boolean) - Method in class edu.stanford.nlp.classify.Dataset
-
- add(int[], int) - Method in class edu.stanford.nlp.classify.Dataset
-
Adds a datums defined by feature indices and label index
Careful with this one! Make sure that all indices are valid!
- add(Datum<L, F>) - Method in class edu.stanford.nlp.classify.GeneralDataset
-
- add(Datum<L, F>) - Method in class edu.stanford.nlp.classify.RVFDataset
-
- add(Datum<L, F>, String, String) - Method in class edu.stanford.nlp.classify.RVFDataset
-
- add(Datum<L, F>) - Method in class edu.stanford.nlp.classify.WeightedDataset
-
- add(Collection<F>, L) - Method in class edu.stanford.nlp.classify.WeightedDataset
-
- add(Datum<L, F>, float) - Method in class edu.stanford.nlp.classify.WeightedDataset
-
- add(Collection<F>, L, float) - Method in class edu.stanford.nlp.classify.WeightedDataset
-
- add(RVFDatum<L, F>, float) - Method in class edu.stanford.nlp.classify.WeightedRVFDataset
-
Add a datum, with a given weight.
- add(Datum<L, F>) - Method in class edu.stanford.nlp.classify.WeightedRVFDataset
- add(Datum<L, F>, String, String) - Method in class edu.stanford.nlp.classify.WeightedRVFDataset
- add(V, V, E) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
adds vertices (if not already in the graph) and the edge between them
- add(V, V, E) - Method in interface edu.stanford.nlp.graph.Graph
-
Adds vertices (if not already in the graph) and the edge between them.
- add() - Method in class edu.stanford.nlp.ie.NERFeatureFactory.FeatureCollector
-
End the current feature, and add with suffixes.
- add(String) - Method in class edu.stanford.nlp.ie.NERFeatureFactory.FeatureCollector
-
Add a feature (+ suffix).
- add(K, NodePattern) - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern
-
- add(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
-
- add(Expression) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.ListExpression
-
- add(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- add(float[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- add(Experiments) - Method in class edu.stanford.nlp.maxent.Experiments
-
- add(Feature) - Method in class edu.stanford.nlp.maxent.Features
-
- add(Feature) - Method in class edu.stanford.nlp.maxent.Problem
-
- add(E) - Method in class edu.stanford.nlp.objectbank.ObjectBank
-
Unsupported Operation.
- add(Object) - Method in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
-
Adds an Object to the underlying Collection of input sources.
- add(List<IN>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
-
- add(TwoDimensionalCounter<T1, T2>, TwoDimensionalCounter<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters
-
For all keys (u,v) in arg1 and arg2, sets return[u,v] to be summation of both.
- add(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- add(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- add(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
increments every key in the counter by value
- add(FeatureKey) - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
-
Adds a FeatureKey to the set of known FeatureKeys.
- add(int, History, int) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
-
- add(String) - Method in class edu.stanford.nlp.tagger.maxent.TTags
-
- add(SUTime.Duration) - Method in class edu.stanford.nlp.time.JollyDayHolidays.JollyHoliday
-
- add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Duration
-
- add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.DurationRange
-
- add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.DurationWithFields
-
- add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.DurationWithMillis
-
- add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
-
- add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.InexactTime
-
- add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.OrdinalTime
-
- add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Range
-
- add(SUTime.Duration, int) - Method in class edu.stanford.nlp.time.SUTime.Range
-
- add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.RefTime
-
- add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
-
- add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.SimpleTime
-
- add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Time
-
- add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.TimeWithRange
-
- add(int, Tree) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
- add(Tree) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
- add(E) - Method in class edu.stanford.nlp.util.ArrayHeap
-
Adds an object to the heap.
- add(E) - Method in class edu.stanford.nlp.util.ArraySet
-
Adds element to set.
- add(T) - Method in class edu.stanford.nlp.util.Beam
-
- add(E) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
Adds an object to the queue with the minimum priority
(Double.NEGATIVE_INFINITY).
- add(E, double) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
Convenience method for if you want to pretend relaxPriority doesn't exist,
or if you really want to use the return conditions of add().
- add(K, V) - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
Adds the value to the Collection mapped to by the key.
- add(U, U) - Method in class edu.stanford.nlp.util.ConfusionMatrix
-
Increments the entry for this guess and gold by 1.
- add(U, U, int) - Method in class edu.stanford.nlp.util.ConfusionMatrix
-
Increments the entry for this guess and gold by the given increment amount.
- add(E, double) - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
Adds a key to the queue with the given priority.
- add(E) - Method in class edu.stanford.nlp.util.HashIndex
-
Adds an object to the Index.
- add(E) - Method in interface edu.stanford.nlp.util.Heap
-
Adds the object to the heap.
- add(E) - Method in class edu.stanford.nlp.util.IdentityHashSet
-
Adds the specified element to this set if it is not already present.
- add(E) - Method in interface edu.stanford.nlp.util.Index
-
- add(T) - Method in class edu.stanford.nlp.util.IntervalTree
-
- add(IntervalTree.TreeNode<E, T>, T) - Method in class edu.stanford.nlp.util.IntervalTree
-
- add(IntervalTree.TreeNode<E, T>, T, double) - Method in class edu.stanford.nlp.util.IntervalTree
-
- add(int) - Method in class edu.stanford.nlp.util.IntUni
-
- add(K, V) - Method in class edu.stanford.nlp.util.LeastRecentlyUsedCache
-
- add(E) - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
Adds the element if the set is not already full.
- add(E, double) - Method in interface edu.stanford.nlp.util.PriorityQueue
-
Convenience method for if you want to pretend relaxPriority doesn't exist,
or if you really want to use the return conditions of add().
- add(K1, K2, V) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
Adds the value to the Collection mapped to by the key.
- add(K1, K2, Collection<V>) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
Adds a collection of values to the Collection mapped to by the key.
- ADD_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- addAll(Iterable<? extends Datum<L, F>>) - Method in class edu.stanford.nlp.classify.GeneralDataset
-
Adds all Datums in the given collection of data to this dataset
- addAll(Iterable<? extends Datum<L, F>>) - Method in class edu.stanford.nlp.classify.RVFDataset
-
- addAll(Collection<? extends String>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
-
- addAll(List<Expression>) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.ListExpression
-
- addAll(Collection<? extends E>) - Method in class edu.stanford.nlp.objectbank.ObjectBank
-
Unsupported Operation.
- addAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
-
Adds all Objects in Collection c to the underlying Collection of
input sources.
- addAll(List<TaggedWord>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Not yet implemented.
- addAll(List<TaggedWord>, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Not yet implemented.
- addAll(Collection<? extends List<IN>>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
-
- addAll(Counter<E>) - Method in class edu.stanford.nlp.stats.AbstractCounter
-
Adds the counts in the given Counter to the counts in this Counter.
- addAll(Counter<E>) - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Adds the counts in the given Counter to the counts in this Counter.
- addAll(Counter<E>) - Method in interface edu.stanford.nlp.stats.Counter
-
Adds the counts in the given Counter to the counts in this Counter.
- addAll(IntCounter<E>) - Method in class edu.stanford.nlp.stats.IntCounter
-
Adds the counts in the given Counter to the counts in this Counter.
- addAll(TwoDimensionalCounterInterface<K1, K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- addAll(K1, Counter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- addAll(TwoDimensionalIntCounter<K1, K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- addAll(K1, IntCounter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- addAll(int, Collection<? extends Tree>) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
- addAll(Collection<T>, Iterable<? extends T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Add all the items from an iterable to a collection.
- addAll(K, Collection<V>) - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
Adds the values to the Collection mapped to by the key.
- addAll(Map<K, V>) - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
Adds all of the mappings in m to this CollectionValuedMap.
- addAll(CollectionValuedMap<K, V>) - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
- addAll(Collection<? extends E>) - Method in class edu.stanford.nlp.util.HashIndex
-
Adds every member of Collection to the Index.
- addAll(Collection<? extends E>) - Method in interface edu.stanford.nlp.util.Index
-
- addAll(Iterator<? extends T>, Collection<T>) - Static method in class edu.stanford.nlp.util.Iterables
-
Adds all of the Objects returned by the given Iterator into the given Collection.
- addAll(Map<K, V1>, Map<K, V2>, Function<V2, V1>) - Static method in class edu.stanford.nlp.util.Maps
-
Adds all of the keys in from
to to
,
applying function
to the values to transform them
from V2
to V1
.
- addAll(Collection<? extends E>) - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
Add all the items.
- addAll(TwoDimensionalMap<? extends K1, ? extends K2, ? extends V2>, Function<V2, V>) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
Adds all of the entries in the other
map, performing
function
on them to transform the values
- addAllInterningAndSuffixing(Collection<String>, Collection<String>, String) - Method in class edu.stanford.nlp.sequences.FeatureFactory
-
Makes more complete feature names out of partial feature names, by
adding a suffix to the String feature name, adding results to an
accumulator
- addAllMacros(TregexPatternCompiler, String, String) - Static method in class edu.stanford.nlp.trees.tregex.Macros
-
- addAllMacros(TregexPatternCompiler, BufferedReader) - Static method in class edu.stanford.nlp.trees.tregex.Macros
-
- addAllWithSourcesAndIds(RVFDataset<L, F>) - Method in class edu.stanford.nlp.classify.RVFDataset
-
- addArc(int, int, String) - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
- addBiasToEmbedding - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- addCapitalFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- addChild(int, Tree) - Method in class edu.stanford.nlp.trees.Tree
-
Adds the tree t at the index position among the daughters.
- addChild(Tree) - Method in class edu.stanford.nlp.trees.Tree
-
Adds the tree t at the last index position among the daughters.
- addChild(int, Tree) - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Adds a child in the ith location.
- addChild(LogRecordHandler) - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
-
- addChildTree(Redwood.RecordHandlerTree) - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
-
- addComment(String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Store a comment line with this semantic graph.
- addCopyNodes - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
-
- addEdge(IndexedWord, IndexedWord, GrammaticalRelation, double, boolean) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- addEdge(SemanticGraphEdge) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- addEnhancements(List<TypedDependency>, EnhancementOptions) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Destructively applies different enhancements to the dependency graph.
- addEnhancements(List<TypedDependency>, EnhancementOptions) - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
-
- addExample(List<Integer>, List<Integer>) - Method in class edu.stanford.nlp.parser.nndep.Dataset
-
- addFeature(MorphoFeatureSpecification.MorphoFeatureType, String) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
-
- addFeature(String) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
-
Enable an annotation feature.
- addFeatureIndices(int[]) - Method in class edu.stanford.nlp.classify.Dataset
-
- addFeatures(Collection<F>) - Method in class edu.stanford.nlp.classify.Dataset
-
- addFeatures(Collection<F>, boolean) - Method in class edu.stanford.nlp.classify.Dataset
-
- addFilter(Predicate<T>) - Method in class edu.stanford.nlp.util.Filters.ConjFilter
-
- addFilter(Predicate<T>) - Method in class edu.stanford.nlp.util.Filters.DisjFilter
-
- addForce(Partial, Period, int) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- addForm(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.Phrase
-
- addGuess(String, String, boolean) - Method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
-
- addGuess(LabeledChunkIdentifier.LabelTagType, LabeledChunkIdentifier.LabelTagType, boolean) - Method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
-
- addGuess(L, L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- addGuess(L, L, boolean) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- addGuesses(List<L>, List<L>) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- addInPlace(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Increases the values in the first array a by b.
- addInPlace(float[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Increases the values in this array by b.
- addInPlace(double[][], double[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Add the two 2d arrays and write the answer in place of m1
.
- addInPlace(Counter<E>, Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Sets each value of target to be target[k]+scale*arg[k] for all keys k in
target.
- addInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Sets each value of target to be target[k]+arg[k] for all keys k in arg.
- addInPlace(double[], Counter<E>, Index<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Sets each value of double[] target to be
target[idx.indexOf(k)]+a.getCount(k) for all keys k in arg
- addInPlace(TwoDimensionalCounter<T1, T2>, TwoDimensionalCounter<T1, T2>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
For all keys (u,v) in arg, sets target[u,v] to be target[u,v] + scale *
arg[u,v].
- addInPlace(TwoDimensionalCounter<T1, T2>, TwoDimensionalCounter<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters
-
For all keys (u,v) in arg, sets target[u,v] to be target[u,v] + arg[u,v].
- addInPlace(Counter<E>, Collection<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Sets each value of target to be target[k]+
value*(num-of-times-it-occurs-in-collection) if the key is present in the arg
collection.
- addInPlace(TwoDimensionalCounter<T1, T2>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
For all keys (u,v) in target, sets target[u,v] to be target[u,v] + value
- addInPlace(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Sets each value of target to be target[k]+
num-of-times-it-occurs-in-collection if the key is present in the arg
collection.
- addInPlace(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Increments all keys in a Counter by a specific value.
- addIntervalRelationFlags(int, boolean) - Static method in class edu.stanford.nlp.util.Interval
-
- addKey(K) - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
Just add the key (empty collection, but key is in the keySet).
- addKey(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
yes, this is a weird method, but i need it.
- addLabel(L) - Method in class edu.stanford.nlp.classify.Dataset
-
- addLabel(LabelType) - Method in class edu.stanford.nlp.ling.BasicDatum
-
Adds the given Label to the List of labels for this Datum if it is not
null.
- addLabelIndex(int) - Method in class edu.stanford.nlp.classify.Dataset
-
- addMacro(String, String) - Method in class edu.stanford.nlp.trees.tregex.TregexPatternCompiler
-
Define a macro for rewriting a pattern in any tregex expression compiled
by this compiler.
- addMap(Map<String, Set<String>>) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
Add all of the mappings from the specified map to the current map.
- addMissingFinalPunctuation - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
If a token list does not have sentence final punctuation near the
end, then automatically add the default one.
- addMod(String) - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- addMod() - Method in class edu.stanford.nlp.time.TimeExpression
-
- addModApprox(String, boolean) - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- addMultInPlace(double[], double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Add c times the array b to array a.
- addMultInto(double[], double[], double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- addNonNested(T) - Method in class edu.stanford.nlp.util.IntervalTree
-
- addNonOverlapping(T) - Method in class edu.stanford.nlp.util.IntervalTree
-
- addNormalizedQuantitiesToEntities(List<E>, CoreMap, CoreMap) - Static method in class edu.stanford.nlp.ie.ChineseQuantifiableEntityNormalizer
-
Identifies contiguous MONEY, TIME, DATE, or PERCENT entities
and tags each of their constituents with a "normalizedQuantity"
label which contains the appropriate normalized string corresponding to
the full quantity.
- addNormalizedQuantitiesToEntities(List<E>) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
-
Identifies contiguous MONEY, TIME, DATE, or PERCENT entities
and tags each of their constituents with a "normalizedQuantity"
label which contains the appropriate normalized string corresponding to
the full quantity.
- addNormalizedQuantitiesToEntities(List<E>, boolean) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
-
- addNormalizedQuantitiesToEntities(List<E>, boolean, boolean) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
-
Identifies contiguous MONEY, TIME, DATE, or PERCENT entities
and tags each of their constituents with a "normalizedQuantity"
label which contains the appropriate normalized string corresponding to
the full quantity.
- addPhrase(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- addPhrase(String, String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- addPhrase(String, String, Object) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- addPhrase(List<String>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- addPhrase(List<String>, String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- addPhrase(List<String>, String, Object) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- addPhrases(Collection<String>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- addPhrases(Map<String, String>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- addPositions(int, int, FeatureKey) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
-
- addPrev(int, History) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
-
- addProcessedData(List<List<CRFDatum<Collection<String>, String>>>, int[][][][], int[][], double[][][][], int) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Adds the List of Lists of CRFDatums to the data and labels arrays, treating
each datum as if it were its own document.
- addRandomColors - Variable in class edu.stanford.nlp.util.logging.OutputHandler
-
- addReferent - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
-
- addRoot(Tree) - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
-
Changes the ROOT label, and adds a Lexicon.BOUNDARY daughter to it.
- addRoot(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- addRule(IntDependency, double) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
Add this dependency with the given count to the grammar.
- addRules(SequenceMatchRules.ExtractRule<I, O>...) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.ListExtractRule
-
- addRules(Collection<SequenceMatchRules.ExtractRule<I, O>>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.ListExtractRule
-
- addSentenceData(String) - Method in class edu.stanford.nlp.pipeline.CoNLLUReader.CoNLLUSentence
-
Add sentence data for this sentence
- addSRLArcs - Static variable in class edu.stanford.nlp.semgraph.SemanticGraph
-
- addSupported(Period, int) - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
-
- addSupported(Period, int) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- addTag(String, Value) - Method in class edu.stanford.nlp.ling.tokensregex.types.Tags
-
- addTag(String) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Will return the index of a tag, adding it if it doesn't already exist
- addTagging(boolean, IntTaggedWord, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Adds the tagging with count to the data structures in this Lexicon.
- addTagging(boolean, IntTaggedWord, double) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel
-
Adds the tagging with count to the data structures in this Lexicon.
- addTemporal(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- addTemporalExpr(TimeExpression) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- addTemporalFunc(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- addToIndex(E) - Method in class edu.stanford.nlp.util.HashIndex
-
- addToIndex(E) - Method in interface edu.stanford.nlp.util.Index
-
Takes an Object and returns the integer index of the Object.
- addToIndexTemporal(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- addToIndexTemporalExpr(TimeExpression) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- addToIndexTemporalFunc(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- addToIndexUnsafe(E) - Method in class edu.stanford.nlp.util.HashIndex
-
Add the given item to the index, but without taking any locks.
- addToKeySet(E) - Method in class edu.stanford.nlp.stats.Distribution
-
Insures that object is in keyset (with possibly zero value)
- addTransformer(TreeTransformer) - Method in class edu.stanford.nlp.trees.CompositeTreeTransformer
-
- addTransition(DFSATransition<T, S>) - Method in class edu.stanford.nlp.fsm.DFSAState
-
- addUnsupported(Period, int) - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
-
- addUnsupported(Period, int) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- addVertex(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
For adding a zero degree vertex
- addVertex(V) - Method in interface edu.stanford.nlp.graph.Graph
-
For adding a zero degree vertex
- addVertex(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- addVThatTaking(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
-
- addXSubj - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
-
- ADJECTIVAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "adjectival complement" grammatical relation.
- ADJECTIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "adjectival modifier" grammatical relation.
- ADJECTIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "adjetive modifier" grammatical relation.
- ADJECTIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "adjective modifier" (amod) grammatical relation.
- ADJECTIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "adjectival modifier" grammatical relation.
- AdjoinToFootNode - Class in edu.stanford.nlp.trees.tregex.tsurgeon
-
Adjoin in a tree (like in TAG), but retain the target of adjunction as the foot of the auxiliary tree.
- AdjoinToFootNode(AuxiliaryTree, TsurgeonPattern) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.AdjoinToFootNode
-
- adjSuffix(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
-
- adjustBias(List<List<IN>>, DoubleUnaryOperator, double, double) - Method in class edu.stanford.nlp.ie.crf.CRFBiasedClassifier
-
Adjust the bias parameter to optimize some objective function.
- ADMath - Class in edu.stanford.nlp.math
-
The class ADMath
was created to extend the
current calculations of gradient to automatically include a calculation of the
hessian vector product with another vector v
.
- ADV_CLAUSAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
- ADV_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "adverbial clause modifier" grammatical relation.
- ADV_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "adverbial clause modifier" grammatical relation.
- ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "adverbial modifier" grammatical relation.
- ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "adverbial modifier" grammatical relation.
- ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "adverbial modifier" (advmod) grammatical relation.
- ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "adverbial modifier" grammatical relation.
- adverbSuffix(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishUnknownWordSignatures
-
- advSuffix(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
-
- after() - Method in class edu.stanford.nlp.ling.CoreLabel
-
Return the whitespace String after the word.
- after() - Method in interface edu.stanford.nlp.ling.HasContext
-
Return the whitespace String after the word.
- after() - Method in class edu.stanford.nlp.ling.IndexedWord
-
- AfterAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AfterAnnotation
-
- AFTERNOON - Static variable in class edu.stanford.nlp.time.SUTime
-
- AGENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "agent" grammatical relation.
- AGENT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "agent" grammatical relation.
- aggregate(Class, List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- aggregate(Class, List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatAggregator
-
- aggregate(Class, List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatCoreMapListAggregator
-
- aggregate(Class, List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatListAggregator
-
- aggregate(Class, List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatTextAggregator
-
- aggregate(Class, List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.MostFreqAggregator
-
- AGGREGATE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- aggregateToTokens - Variable in class edu.stanford.nlp.ling.tokensregex.Env
-
Whether we should merge and output CoreLabels or not.
- alignDDAlpha - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- Alignment - Class in edu.stanford.nlp.semgraph.semgrex
-
Represents an alignment between a text and a hypothesis as a map from
hypothesis words to text words, along with a real-valued score and
(optionally) a justification string.
- Alignment(Map<IndexedWord, IndexedWord>, double, String) - Constructor for class edu.stanford.nlp.semgraph.semgrex.Alignment
-
- alignmentDecodeThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- alignmentPruneThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- alignSentence(CoreMap) - Static method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
-
Copies one sentence replicating only information necessary for SUTime
- allIndices - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
- allLabels(int, Index<String>) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- allTokens() - Method in class edu.stanford.nlp.ie.util.RelationTriple
-
Returns all the tokens in the extraction, in the order subject then relation then object.
- allTypedDependencies - Variable in class edu.stanford.nlp.trees.GrammaticalStructure
-
- allTypedDependencies() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Returns all the typed dependencies of this grammatical structure.
- allValues() - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
- alpha - Variable in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
-
- alphaFile - Variable in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
- alsoHide(Object) - Method in class edu.stanford.nlp.util.logging.VisibilityHandler
-
Show all the channels currently being printed, with the exception
of this new one
- alsoShow(Object) - Method in class edu.stanford.nlp.util.logging.VisibilityHandler
-
Show all the channels currently being printed, in addition
to a new one
- altAnswerFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- alternateTraining - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- AlternativeDependenciesAnnotation() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.AlternativeDependenciesAnnotation
-
- altTag - Variable in class edu.stanford.nlp.international.morph.MorphoFeatures
-
- altVal() - Method in class edu.stanford.nlp.time.Timex
-
- AmbiguityClass - Class in edu.stanford.nlp.tagger.maxent
-
An ambiguity class for a word is the word by itself or its set of observed tags.
- AmbiguityClass(String, boolean, Dictionary, TTags) - Constructor for class edu.stanford.nlp.tagger.maxent.AmbiguityClass
-
- AmbiguityClasses - Class in edu.stanford.nlp.tagger.maxent
-
A collection of Ambiguity Class.
- AmbiguityClasses(TTags) - Constructor for class edu.stanford.nlp.tagger.maxent.AmbiguityClasses
-
- Americanize - Class in edu.stanford.nlp.process
-
Takes a HasWord or String and returns an Americanized version of it.
- Americanize() - Constructor for class edu.stanford.nlp.process.Americanize
-
- Americanize(int) - Constructor for class edu.stanford.nlp.process.Americanize
-
Make an object for Americanizing spelling.
- americanize(String) - Static method in class edu.stanford.nlp.process.Americanize
-
Convert the spelling of a word from British to American English.
- americanize(String, boolean) - Static method in class edu.stanford.nlp.process.Americanize
-
Convert the spelling of a word from British to American English.
- AmericanizeFunction - Class in edu.stanford.nlp.process
-
- AmericanizeFunction() - Constructor for class edu.stanford.nlp.process.AmericanizeFunction
-
- ancestor(int, Tree) - Method in class edu.stanford.nlp.trees.Tree
-
Return the ancestor tree node height
nodes up from the current node.
- ANCORA_OPTIONS - Static variable in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
-
- ancoraFactory() - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
-
Returns a tokenizer with Ancora tokenization.
- AnCoraPronounDisambiguator - Class in edu.stanford.nlp.international.spanish.process
-
A utility for preprocessing the AnCora Spanish corpus.
- AnCoraPronounDisambiguator() - Constructor for class edu.stanford.nlp.international.spanish.process.AnCoraPronounDisambiguator
-
- AnCoraPronounDisambiguator.PersonalPronounType - Enum in edu.stanford.nlp.international.spanish.process
-
- AND_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- AndExpression(List<Expression>) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.AndExpression
-
- andFilter(Predicate<E>, Predicate<E>) - Static method in class edu.stanford.nlp.util.Filters
-
Filter that accepts only when both filters accept (AND).
- AndPatternExpr(List<SequencePattern.PatternExpr>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.AndPatternExpr
-
- AndPatternExpr(SequencePattern.PatternExpr...) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.AndPatternExpr
-
- annealingRate - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- annealingType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- annotate(MatchedExpression, List<? extends CoreMap>) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- annotate(MatchedExpression) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- annotate(Annotation) - Method in interface edu.stanford.nlp.pipeline.Annotator
-
Given an Annotation, perform a task on this Annotation.
- AnnotateAction(Map<String, String>) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction.AnnotateAction
-
- AnnotateAction(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- annotateChunk(CoreMap, List<CoreLabel>, int, int, int) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Annotates a CoreMap representing a chunk with basic chunk information.
- annotateChunk(CoreMap, Class, Class, CoreMapAttributeAggregator) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
- annotateChunk(CoreMap, Map<String, String>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
- annotateChunks(List<? extends CoreMap>, int, int, Map<String, String>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
- annotateChunks(List<? extends CoreMap>, Map<String, String>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
- annotateChunkText(CoreMap, Class) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Annotates a CoreMap representing a chunk with text information
TextAnnotation - String representing tokens in this chunks (token text separated by space)
- annotateChunkText(CoreMap, CoreMap) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Annotates a CoreMap representing a chunk with text information
TextAnnotation - String extracted from the origAnnotation using character offset information for this chunk
- annotateChunkTokens(CoreMap, Class, Class) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Annotates tokens in chunk.
- annotateGroup(Map<String, String>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
-
- annotateGroup(int, Map<String, String>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
-
- AnnotateHeadFunction(HeadFinder) - Constructor for class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.AnnotateHeadFunction
-
- AnnotateHeadFunction(HeadFinder, boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.AnnotateHeadFunction
-
- AnnotatePunctuationFunction(String, String) - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.AnnotatePunctuationFunction
-
- annotateTrees(List<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
-
- annotation - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- Annotation - Class in edu.stanford.nlp.pipeline
-
An annotation representing a span of text in a document.
- Annotation(Annotation) - Constructor for class edu.stanford.nlp.pipeline.Annotation
-
Copy constructor.
- Annotation(String) - Constructor for class edu.stanford.nlp.pipeline.Annotation
-
The text becomes the CoreAnnotations.TextAnnotation of the newly
created Annotation.
- Annotation(List<CoreMap>) - Constructor for class edu.stanford.nlp.pipeline.Annotation
-
Make a new Annotation from a List of tokenized sentences.
- Annotation() - Constructor for class edu.stanford.nlp.pipeline.Annotation
-
Deprecated.
- annotation() - Method in enum edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.DependenciesType
-
- Annotation() - Constructor for class edu.stanford.nlp.time.TimeExpression.Annotation
-
- ANNOTATION_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- AnnotationExtractRule() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
- AnnotationExtractRuleCreator() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRuleCreator
-
- annotationField - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
Annotation field to apply rule over: text or tokens or numerizedtokens
- AnnotationLookup - Class in edu.stanford.nlp.ling
-
Provides a mapping between CoreAnnotation keys, which are classes, and a text String that names them,
which is needed for things like text serializations and the Semgrex query language.
- AnnotationMatchedFilter(MatchedExpression.SingleAnnotationExtractor) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationMatchedFilter
-
- annotations - Variable in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
-
This data structure dictates how an arbitrary tree should be
annotated.
- Annotator - Interface in edu.stanford.nlp.pipeline
-
This is an interface for adding annotations to a partially annotated
Annotation.
- announceObjectBankEntries - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- ansiCode - Variable in enum edu.stanford.nlp.util.logging.Color
-
- ansiCode - Variable in enum edu.stanford.nlp.util.logging.Style
-
- AnswerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AnswerAnnotation
-
- answerFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- AnswerObjectAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AnswerObjectAnnotation
-
- AnswerProbAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AnswerProbAnnotation
-
- AntecedentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AntecedentAnnotation
-
- ANY - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- ANY_DISTANCE_INT - Static variable in class edu.stanford.nlp.parser.lexparser.IntDependency
-
- ANY_NODE - Static variable in class edu.stanford.nlp.ling.tokensregex.NodePattern
-
- ANY_NODE_PATTERN - Static variable in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
-
- ANY_NODE_PATTERN_EXPR - Static variable in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- ANY_TAG_INT - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- ANY_WORD_INT - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- AnyNodePattern() - Constructor for class edu.stanford.nlp.ling.tokensregex.NodePattern.AnyNodePattern
-
- aOverAFilter - Variable in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
-
- AOverAFilter() - Constructor for class edu.stanford.nlp.trees.BobChrisTreeNormalizer.AOverAFilter
-
- append(String) - Method in class edu.stanford.nlp.ie.NERFeatureFactory.FeatureCollector
-
Append to the current feature name
- append(char) - Method in class edu.stanford.nlp.ie.NERFeatureFactory.FeatureCollector
-
Append to the current feature name
- append(SequenceMatchResult<T>, List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher.BasicMatchReplacement
-
Append to replacement list our list of replacement items.
- append(SequenceMatchResult<T>, List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher.GroupMatchReplacement
-
Append to replacement list the matched group with the specified group id
- append(SequenceMatchResult<T>, List<T>) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatcher.MatchReplacement
-
Append to replacement list.
- append(SequenceMatchResult<T>, List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher.NamedGroupMatchReplacement
-
Append to replacement list the matched group with the specified group name
- append(CharSequence) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- append(CharSequence, int, int) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- append(char) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- appendCoreMap(List<T>, CoreMap, String, int, int, CoreTokenFactory<T>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
- appendDateFormats(DateTimeFormatterBuilder, int) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- appendLC - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- appendRules(List<SequenceMatchRules.Rule>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
-
Add specified rules to this extractor.
- appendTimeFormats(DateTimeFormatterBuilder, int) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- appliesNumericClassifiers() - Method in class edu.stanford.nlp.ie.NERClassifierCombiner
-
- apply(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Maps a String input to an XML-formatted rendition of applying NER to the
String.
- apply(String) - Method in class edu.stanford.nlp.international.arabic.Buckwalter
-
- apply(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePatternTrigger
-
- apply(SequenceMatchResult<T>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction.AnnotateAction
-
- apply(SequenceMatchResult<CoreMap>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction.MergeAction
-
- apply(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- apply(List<? extends T>) - Method in class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher.BasicSequencePatternTrigger
-
- apply(SequenceMatchResult<T>, int...) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchAction
-
- apply(SequenceMatchResult<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.BoundAction
-
- apply(SequenceMatchResult<T>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.BranchAction
-
- apply(SequenceMatchResult<T>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.NextMatchAction
-
- apply(SequenceMatchResult<T>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.SeriesAction
-
- apply(SequenceMatchResult<T>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.StartMatchAction
-
- apply(MR) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchResult.GroupToIntervalFunc
-
- apply(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapFunctionApplier
-
- apply(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapToListFunctionApplier
-
- apply(List<? extends T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.MultiSequencePatternExtractRule
-
- apply(SequenceMatchResult<CoreMap>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequenceMatchedExpressionExtractor
-
- apply(SequenceMatchResult<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequenceMatchResultExtractor
-
- apply(List<? extends T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequencePatternExtractRule
-
- apply(MatchResult) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringMatchedExpressionExtractor
-
- apply(MatchResult) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringMatchResultExtractor
-
- apply(String) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringPatternExtractRule
-
- apply(Env, List<Value>) - Method in interface edu.stanford.nlp.ling.tokensregex.types.ValueFunction
-
Applies the function to the list values using the environment as context
and returns the evaluated value.
- apply(Env, List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.BooleanFunction
-
- apply(Env, List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.CompareFunction
-
- apply(Env, List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericFunction
-
- apply(Env, List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.StringFunction
-
- apply(X) - Method in class edu.stanford.nlp.objectbank.IdentityFunction
-
- apply(String) - Method in class edu.stanford.nlp.objectbank.ObjectBank.PathToFileFunction
-
- apply(TregexMatcher) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.AnnotatePunctuationFunction
-
- apply(TregexMatcher) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.AnnotateHeadFunction
-
- apply(TregexMatcher) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.SimpleStringFunction
-
- apply(Configuration, String) - Method in class edu.stanford.nlp.parser.nndep.ArcStandard
-
- apply(Configuration, String) - Method in class edu.stanford.nlp.parser.nndep.ParsingSystem
-
Apply the given transition to the given configuration, modifying
the configuration's state in place.
- apply(List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAggregator
-
- apply(HasWord) - Method in class edu.stanford.nlp.process.Americanize
-
Americanize the HasWord or String coming in.
- apply(String) - Method in class edu.stanford.nlp.process.AmericanizeFunction
-
- apply(String) - Method in class edu.stanford.nlp.process.LowercaseAndAmericanizeFunction
-
- apply(String) - Method in class edu.stanford.nlp.process.LowercaseFunction
-
- apply(Object) - Method in class edu.stanford.nlp.process.Morphology
-
- apply(String) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats.StringStringConverter
-
- apply(List<? extends HasWord>) - Method in class edu.stanford.nlp.tagger.common.Tagger
-
- apply(List<? extends HasWord>) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Expects a sentence and returns a tagged sentence.
- apply(SUTime.Temporal, SUTime.Temporal, int) - Method in enum edu.stanford.nlp.time.SUTime.TemporalOp
-
- apply(SUTime.Temporal, SUTime.Temporal) - Method in enum edu.stanford.nlp.time.SUTime.TemporalOp
-
- apply(SUTime.Temporal...) - Method in enum edu.stanford.nlp.time.SUTime.TemporalOp
-
- apply(Object...) - Method in enum edu.stanford.nlp.time.SUTime.TemporalOp
-
- apply(String) - Method in class edu.stanford.nlp.time.TimeFormatter.CustomDateFormatExtractor
-
- apply(MatchResult) - Method in class edu.stanford.nlp.time.TimeFormatter.CustomDateFormatExtractor
-
- apply(CoreMap) - Method in class edu.stanford.nlp.time.TimeFormatter.JavaDateFormatExtractor
-
- apply(CoreMap) - Method in class edu.stanford.nlp.time.TimeFormatter.JodaDateTimeFormatExtractor
-
- apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.CompositeTreebank
-
- apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.DiskTreebank
-
Applies the TreeVisitor to to all trees in the Treebank.
- apply(List<HasWord>) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEscaper
-
Note: At present this clobbers the input list items.
- apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
Apply the TreeVisitor tp to all trees in the Treebank.
- apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.TransformingTreebank
-
Applies the TreeVisitor to to all trees in the Treebank.
- apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.Treebank
-
Apply a TreeVisitor to each tree in the Treebank.
- apply(Tree) - Method in interface edu.stanford.nlp.trees.TreeTransformer
-
- apply(String) - Method in enum edu.stanford.nlp.util.logging.Color
-
- apply() - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
Apply this configuration to Redwood
- apply(Properties) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
Parses a properties file and applies it immediately to Redwood
- apply(RedwoodConfiguration, Redwood.RecordHandlerTree) - Method in interface edu.stanford.nlp.util.logging.RedwoodConfiguration.Thunk
-
- apply(String) - Method in enum edu.stanford.nlp.util.logging.Style
-
- apply(String) - Method in class edu.stanford.nlp.util.UTF8EquivalenceFunction
-
- APPLY_NUMERIC_CLASSIFIERS_DEFAULT - Static variable in class edu.stanford.nlp.ie.NERClassifierCombiner
-
- APPLY_NUMERIC_CLASSIFIERS_PROPERTY - Static variable in class edu.stanford.nlp.ie.NERClassifierCombiner
-
- applyFeatureCountThreshold(List<Pair<Pattern, Integer>>) - Method in class edu.stanford.nlp.classify.Dataset
-
Applies feature count thresholds to the Dataset.
- applyFeatureCountThreshold(int) - Method in class edu.stanford.nlp.classify.GeneralDataset
-
Applies a feature count threshold to the Dataset.
- applyFeatureCountThreshold(int) - Method in class edu.stanford.nlp.classify.RVFDataset
-
Applies a feature count threshold to the RVFDataset.
- applyFeatureMaxCountThreshold(int) - Method in class edu.stanford.nlp.classify.GeneralDataset
-
Applies a max feature count threshold to the Dataset.
- applyFeatureMaxCountThreshold(int) - Method in class edu.stanford.nlp.classify.RVFDataset
-
Applies a feature max count threshold to the RVFDataset.
- applyNERPenalty - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- applyNumericClassifiers - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- applyPrior(double[], double) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- applySpecializedNER(List<E>) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
-
Runs a deterministic named entity classifier which is good at recognizing
numbers and money and date expressions not recognized by our statistical
NER.
- applyToProjections(TreeVisitor, Tree, Tree, HeadFinder) - Static method in class edu.stanford.nlp.trees.Trees
-
- APPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "appositional modifier" grammatical relation.
- APPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "appositional modifier" (appos) grammatical relation (abstract).
- APPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "appositional modifier" grammatical relation.
- approx - Variable in class edu.stanford.nlp.time.SUTime.Temporal
-
- APPROXIMATE - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- approximate - Variable in class edu.stanford.nlp.time.JodaTimeUtils.ConversionOptions
-
Treat durations as approximate
- APPROXIMATE - Static variable in class edu.stanford.nlp.util.logging.RepeatedRecordHandler
-
- ApproximateRepeatSemantics() - Constructor for class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ApproximateRepeatSemantics
-
- APRIL - Static variable in class edu.stanford.nlp.time.SUTime
-
- ARABIC_PROPERTIES - Static variable in class edu.stanford.nlp.pipeline.LanguageInfo
-
list of properties files for each language
- ArabicCharAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ArabicCharAnnotation
-
- arabicDigit - Variable in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
-
- ArabicEmptyFilter() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer.ArabicEmptyFilter
-
- ArabicHeadFinder - Class in edu.stanford.nlp.trees.international.arabic
-
Find the head of an Arabic tree, using the usual kind of heuristic
head finding rules.
- ArabicHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
-
- ArabicHeadFinder(String) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
-
Construct an ArabicHeadFinder with a String parameter corresponding to the tagset in use.
- ArabicHeadFinder(ArabicHeadFinder.TagSet) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
-
- ArabicHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
-
- ArabicHeadFinder(TreebankLanguagePack, ArabicHeadFinder.TagSet) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
-
- ArabicHeadFinder.TagSet - Enum in edu.stanford.nlp.trees.international.arabic
-
- ArabicMorphoFeatures() - Constructor for class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification.ArabicMorphoFeatures
-
- ArabicMorphoFeatureSpecification - Class in edu.stanford.nlp.international.arabic
-
Extracts morphosyntactic features from BAMA/SAMA analyses.
- ArabicMorphoFeatureSpecification() - Constructor for class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification
-
- ArabicMorphoFeatureSpecification.ArabicMorphoFeatures - Class in edu.stanford.nlp.international.arabic
-
Converts features specifications to labels for tagging
- arabicPunc - Variable in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
-
- ArabicRawTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory.ArabicRawTreeReaderFactory
-
- ArabicRawTreeReaderFactory(boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory.ArabicRawTreeReaderFactory
-
- ArabicSegAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ArabicSegAnnotation
-
- ArabicSubcategoryStripper() - Constructor for class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams.ArabicSubcategoryStripper
-
- ArabicTokenizer<T extends HasWord> - Class in edu.stanford.nlp.international.arabic.process
-
Tokenizer for UTF-8 Arabic.
- ArabicTokenizer(Reader, LexedTokenFactory<T>, Properties) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicTokenizer
-
- ArabicTokenizer.ArabicTokenizerFactory<T extends HasWord> - Class in edu.stanford.nlp.international.arabic.process
-
- ArabicTreebankLanguagePack - Class in edu.stanford.nlp.trees.international.arabic
-
Specifies the treebank/language specific components needed for
parsing the Penn Arabic Treebank (ATB).
- ArabicTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
-
- ArabicTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser
-
- ArabicTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
-
- ArabicTreebankParserParams.ArabicSubcategoryStripper - Class in edu.stanford.nlp.parser.lexparser
-
- ArabicTreebankTokenizer - Class in edu.stanford.nlp.trees.international.arabic
-
Builds a tokenizer for the Penn Arabic Treebank (ATB) using a
StreamTokenizer
.
- ArabicTreebankTokenizer(Reader) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreebankTokenizer
-
- ArabicTreeNormalizer - Class in edu.stanford.nlp.trees.international.arabic
-
Normalizes both terminals and non-terminals in Penn Arabic Treebank (ATB)
trees.
- ArabicTreeNormalizer(boolean, boolean, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
-
- ArabicTreeNormalizer(boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
-
- ArabicTreeNormalizer(boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
-
- ArabicTreeNormalizer(boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
-
- ArabicTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
-
- ArabicTreeNormalizer.ArabicEmptyFilter - Class in edu.stanford.nlp.trees.international.arabic
-
Remove traces and pronoun deletion markers.
- ArabicTreeReaderFactory - Class in edu.stanford.nlp.trees.international.arabic
-
Reads ArabicTreebank trees.
- ArabicTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory
-
- ArabicTreeReaderFactory(boolean, boolean, boolean, boolean, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory
-
- ArabicTreeReaderFactory.ArabicRawTreeReaderFactory - Class in edu.stanford.nlp.trees.international.arabic
-
- arbitraryInputLayerSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- ARCH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- ArcStandard - Class in edu.stanford.nlp.parser.nndep
-
Defines an arc-standard transition-based dependency parsing system
(Nivre, 2004).
- ArcStandard(TreebankLanguagePack, List<String>, boolean) - Constructor for class edu.stanford.nlp.parser.nndep.ArcStandard
-
- arg - Variable in class edu.stanford.nlp.parser.lexparser.IntDependency
-
- argCounter - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
Stores all the counts for dependencies (with and without the word
being a wildcard) in the reduced tag space.
- ArgDescendentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ArgDescendentAnnotation
-
- argmax(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- argmax(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- argmax(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- argmax(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Finds and returns the key in the Counter with the largest count.
- argmax(Counter<E>, Comparator<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Finds and returns the key in the Counter with the largest count.
- argmax(Counter<E>, Comparator<E>, E) - Static method in class edu.stanford.nlp.stats.Counters
-
Finds and returns the key in the Counter with the largest count.
- argmax() - Method in class edu.stanford.nlp.stats.Distribution
-
- argmax(Comparator<E>) - Method in class edu.stanford.nlp.stats.IntCounter
-
Finds and returns the key in this Counter with the largest count.
- argmax() - Method in class edu.stanford.nlp.stats.IntCounter
-
Finds and returns the key in this Counter with the largest count.
- argmax_tieLast(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- argmin(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- argmin(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- argmin(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- argmin(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Finds and returns the key in this Counter with the smallest count.
- argmin(Counter<E>, Comparator<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Finds and returns the key in this Counter with the smallest count.
- argmin(Comparator<E>) - Method in class edu.stanford.nlp.stats.IntCounter
-
Finds and returns the key in this Counter with the smallest count.
- argmin() - Method in class edu.stanford.nlp.stats.IntCounter
-
Finds and returns the key in this Counter with the smallest count.
- argsToMap(String[]) - Static method in class edu.stanford.nlp.util.StringUtils
-
Parses command line arguments into a Map.
- argsToMap(String[], Map<String, Integer>) - Static method in class edu.stanford.nlp.util.StringUtils
-
Parses command line arguments into a Map.
- argsToProperties(String...) - Static method in class edu.stanford.nlp.util.StringUtils
-
In this version each flag has zero or one argument.
- argsToProperties(String[], Map<String, Integer>) - Static method in class edu.stanford.nlp.util.StringUtils
-
- argsToPropertiesWithResolve(String[]) - Static method in class edu.stanford.nlp.util.StringUtils
-
convert args to properties with variable names resolved.
- ARGUMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "argument" grammatical relation.
- ARGUMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "argument" grammatical relation.
- ARGUMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "argument" (arg) grammatical relation (abstract).
- ARGUMENT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "argument" grammatical relation.
- ArgumentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ArgumentAnnotation
-
- ArgumentParser - Class in edu.stanford.nlp.util
-
A class to set command line options.
- ArgumentParser.Option - Annotation Type in edu.stanford.nlp.util
-
- ARMY_TIME_MORNING - Static variable in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
-
- ARRAY_LIST_FACTORY - Static variable in class edu.stanford.nlp.util.CollectionFactory
-
- ArrayCoreMap - Class in edu.stanford.nlp.util
-
Base implementation of
CoreMap
backed by two Java arrays.
- ArrayCoreMap() - Constructor for class edu.stanford.nlp.util.ArrayCoreMap
-
Default constructor - initializes with default initial annotation
capacity of 4.
- ArrayCoreMap(int) - Constructor for class edu.stanford.nlp.util.ArrayCoreMap
-
Initializes this ArrayCoreMap, pre-allocating arrays to hold
up to capacity key,value pairs.
- ArrayCoreMap(ArrayCoreMap) - Constructor for class edu.stanford.nlp.util.ArrayCoreMap
-
Copy constructor.
- ArrayCoreMap(CoreMap) - Constructor for class edu.stanford.nlp.util.ArrayCoreMap
-
Copy constructor.
- ArrayHeap<E> - Class in edu.stanford.nlp.util
-
Implements a heap as an ArrayList.
- ArrayHeap(Comparator<? super E>) - Constructor for class edu.stanford.nlp.util.ArrayHeap
-
Create an ArrayHeap.
- ArrayHeap(Comparator<? super E>, int) - Constructor for class edu.stanford.nlp.util.ArrayHeap
-
- arrayListFactory() - Static method in class edu.stanford.nlp.util.CollectionFactory
-
Return a factory for making ArrayList Collections.
- arrayListFactory(int) - Static method in class edu.stanford.nlp.util.CollectionFactory
-
- ArrayListFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory.ArrayListFactory
-
- ArrayMap<K,V> - Class in edu.stanford.nlp.util
-
Map backed by an Array.
- ArrayMap() - Constructor for class edu.stanford.nlp.util.ArrayMap
-
- ArrayMap(int) - Constructor for class edu.stanford.nlp.util.ArrayMap
-
- ArrayMap(Map<? extends K, ? extends V>) - Constructor for class edu.stanford.nlp.util.ArrayMap
-
- ArrayMap(K[], V[]) - Constructor for class edu.stanford.nlp.util.ArrayMap
-
- arrayMapFactory() - Static method in class edu.stanford.nlp.util.MapFactory
-
Return a MapFactory that returns an ArrayMap.
- ArrayMath - Class in edu.stanford.nlp.math
-
Methods for operating on numerical arrays as vectors and matrices.
- ArrayMath.InvalidElementException - Exception in edu.stanford.nlp.math
-
- ArraySet<E> - Class in edu.stanford.nlp.util
-
An array-backed set.
- ArraySet() - Constructor for class edu.stanford.nlp.util.ArraySet
-
Constructs an ArraySet.
- ArraySet(List<E>) - Constructor for class edu.stanford.nlp.util.ArraySet
-
Constructs an ArraySet, using the given list as the backing collection.
- ArraySet(int) - Constructor for class edu.stanford.nlp.util.ArraySet
-
Constructs an ArraySet with specified initial size of backing array.
- ArraySet(E...) - Constructor for class edu.stanford.nlp.util.ArraySet
-
Constructs an ArraySet with the specified elements.
- ArrayStringFilter - Class in edu.stanford.nlp.util
-
Filters Strings based on whether they exactly match any string in
the array it is initially constructed with.
- ArrayStringFilter(ArrayStringFilter.Mode, String...) - Constructor for class edu.stanford.nlp.util.ArrayStringFilter
-
- ArrayStringFilter.Mode - Enum in edu.stanford.nlp.util
-
- arrayToFile(double[], String) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
-
- ArrayUtils - Class in edu.stanford.nlp.util
-
Static utility methods for operating on arrays.
- asArray(Counter<E>, Index<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Convert a counter to an array using a specified key index.
- asArray(Counter<E>, Index<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
-
Convert a counter to an array using a specified key index.
- asArray(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Convert a counter to an array, the order of the array is random
- asArrayList(Iterator<? extends T>) - Static method in class edu.stanford.nlp.util.Iterables
-
Creates an ArrayList containing all of the Objects returned by the given Iterator.
- ASBCunkDict - Class in edu.stanford.nlp.tagger.maxent
-
- ASCENDING_COMPARATOR - Static variable in class edu.stanford.nlp.util.ScoredComparator
-
- asCharacterArray(String) - Static method in class edu.stanford.nlp.util.Characters
-
Map a String to an array of type Character.
- ASCII - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
-
- asciiQuotes(String) - Static method in class edu.stanford.nlp.process.LexerUtils
-
Convert all single and double quote like characters to the ASCII quote characters: ' ".
- asCollection(Iterator<? extends E>, CollectionFactory<E>) - Static method in class edu.stanford.nlp.util.Iterables
-
Creates a new Collection from the given CollectionFactory, and adds all of the Objects
returned by the given Iterator.
- asCounter(Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Takes in a Collection of something and makes a counter, incrementing once
for each object in the collection.
- asCounter(FixedPrioritiesPriorityQueue<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a counter whose keys are the elements in this priority queue, and
whose counts are the priorities in this queue.
- asDependencyTree() - Method in class edu.stanford.nlp.ie.util.RelationTriple
-
An optional method, returning the dependency tree this triple was extracted from
- asDependencyTree() - Method in class edu.stanford.nlp.ie.util.RelationTriple.WithTree
-
An optional method, returning the dependency tree this triple was extracted from
- asDoubleArray(Collection<Double>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
- asExpression(Env, Object) - Static method in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
- asFeatures() - Method in class edu.stanford.nlp.ie.crf.CRFDatum
-
Returns the collection that this BasicDatum was constructed with.
- asFeatures() - Method in class edu.stanford.nlp.ling.BasicDatum
-
Returns the collection that this BasicDatum was constructed with.
- asFeatures() - Method in interface edu.stanford.nlp.ling.Featurizable
-
returns Object as a Collection of its features
- asFeatures() - Method in class edu.stanford.nlp.ling.RVFDatum
-
Returns the list of features without values
- asFeaturesCounter() - Method in class edu.stanford.nlp.ling.RVFDatum
-
Returns the Counter of features and values
- asFeatureVals() - Method in class edu.stanford.nlp.ie.crf.CRFDatum
-
Returns the double array containing the feature values.
- asHashSet(Iterator<? extends T>) - Static method in class edu.stanford.nlp.util.Iterables
-
Creates a HashSet containing all of the Objects returned by the given Iterator.
- ASIAN_SMILEY - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- asImmutableSet(T[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
Return an immutable Set containing the same elements as the specified
array.
- asIntArray(Collection<Integer>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
- asList() - Method in class edu.stanford.nlp.util.ArrayHeap
-
- asList(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
needed because Arrays.asList() won't to autoboxing,
so if you give it a primitive array you get a
singleton list back with just that array as an element.
- asList(int[]) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
- asList(double[]) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
- asList() - Method in class edu.stanford.nlp.util.Pair
-
- asList() - Method in class edu.stanford.nlp.util.Quadruple
-
- asList() - Method in class edu.stanford.nlp.util.Triple
-
- asMap(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a map view of the given counter.
- asMap(Properties) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Tired of Properties not behaving like Map<String,String>
s? This method will solve that problem for you.
- asNormalizedCounter(C) - Static method in class edu.stanford.nlp.stats.Counters
-
L1 normalize a counter.
- asObject(Env, Object) - Static method in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
- ASPECT_MARKER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "aspect marker" grammatical relation.
- asPrimitiveDoubleArray(Collection<Double>) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- asPrimitiveIntArray(Collection<Integer>) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- asProperties(String...) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Create a Properties object from the passed in String arguments.
- asSentence() - Method in class edu.stanford.nlp.ie.util.RelationTriple
-
Return the given relation triple as a flat sentence
- assertEquals(Set<E>, Set<E>, String, String, boolean, Supplier<String>) - Static method in class edu.stanford.nlp.util.Sets
-
Tests whether two sets are equal.
- assertFinite(double[], String) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- asSet(T[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
Return a Set containing the same elements as the specified array.
- asSet(T...) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Returns a new Set containing all the objects in the specified array.
- assign(Expression) - Method in interface edu.stanford.nlp.ling.tokensregex.types.AssignableExpression
-
- assign(Expression) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.AssignableFunctionCallExpression
-
- assign(Expression) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexMatchVarExpression
-
- assign(Expression) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.VarExpression
-
- AssignableExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- AssignableExpression - Interface in edu.stanford.nlp.ling.tokensregex.types
-
This interface represents an expression that can be assigned to.
- AssignableFunctionCallExpression(String, List<Expression>, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.AssignableFunctionCallExpression
-
- AssignableNestedVarExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- AssignableVar(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.AndPatternExpr
-
- assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.BackRefPatternExpr
-
- assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.GroupPatternExpr
-
- assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.MultiNodePatternExpr
-
- assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.NodePatternExpr
-
- assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.OrPatternExpr
-
- assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.PatternExpr
-
Assigns group ids to groups embedded in this patterns starting with at the specified number,
returns the next available group id.
- assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.RepeatPatternExpr
-
- assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequencePatternExpr
-
- assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SpecialNodePatternExpr
-
- assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.ValuePatternExpr
-
- AssignmentRule(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- AssignmentRule(AssignableExpression, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AssignmentRule
-
- ASSOCIATIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "associative marker" grammatical relation.
- ASSOCIATIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "associative modifier" (nmod:assmod) grammatical relation (Chinese-specific).
- ASSOCIATIVEM_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "associative modifier" grammatical relation.
- asSortedList() - Method in class edu.stanford.nlp.util.Beam
-
- asString(Properties) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Convert from Properties to String.
- aStringArrToByteArr(String[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- aStringArrToByteArr(String[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- aStringArrToByteArr(byte[], int, String[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- asValue(Env, Object) - Static method in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
- atbFactory() - Static method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer
-
- ATBTreeUtils - Class in edu.stanford.nlp.trees.international.arabic
-
Various static convenience methods for processing Arabic parse trees.
- attachedNegatedVerb(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- attributes() - Method in class edu.stanford.nlp.semgraph.semgrex.NodeAttributes
-
- attributes - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
-
Stores attributes as a Map from keys to values.
- AttributesEqualMatchChecker(K...) - Constructor for class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.AttributesEqualMatchChecker
-
- AttributesEqualMatchChecker(Class...) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.AttributesEqualMatchChecker
-
- ATTRIBUTIVE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "attributive" grammatical relation.
- AttrValue(Env, Map<String, String>) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- augmentedDateChars - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- AUGUST - Static variable in class edu.stanford.nlp.time.SUTime
-
- AuthorAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AuthorAnnotation
-
- AUX_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "auxiliary" grammatical relation.
- AUX_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "copula" grammatical relation.
- AUX_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "auxiliary" (aux) grammatical relation.
- AUX_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
An auxiliary of a clause is a non-main verb of the clause,
e.g., a modal auxiliary, or a form of be, do or have in a
periphrastic tense.
- AUX_PASSIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "passive auxiliary" grammatical relation.
- AUX_PASSIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "passive" grammatical relation.
- AUX_PASSIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "auxiliary passive" (auxpass) grammatical relation.
- AUX_PASSIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "passive auxiliary" grammatical relation.
- auxiliaries - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- AuxiliaryTree - Class in edu.stanford.nlp.trees.tregex.tsurgeon
-
- AuxiliaryTree(Tree, boolean) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.AuxiliaryTree
-
- auxTrueCaseModels - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- available() - Method in class edu.stanford.nlp.io.ReaderInputStream
-
- average(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- average(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a new Counter with counts averaged from the two given Counters.
- averageCount() - Method in class edu.stanford.nlp.stats.IntCounter
-
Returns the mean of all the counts (totalCount/size).
- averagePerceptron - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- C - Variable in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
C can be tuned using held-out set or cross-validation.
- c - Variable in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
-
The underlying Collection of input sources.
- cache(Supplier<E>) - Static method in class edu.stanford.nlp.util.Lazy
-
Create a lazy value from the given provider, allowing the value
stored in the lazy to be garbage collected if necessary.
- CacheMap<K,V> - Class in edu.stanford.nlp.util
-
A fixed size hash map with LRU replacement.
- CacheMap(int, float, boolean, String) - Constructor for class edu.stanford.nlp.util.CacheMap
-
Constructor.
- CacheMap(int, float, boolean) - Constructor for class edu.stanford.nlp.util.CacheMap
-
- CacheMap(int, float) - Constructor for class edu.stanford.nlp.util.CacheMap
-
- CacheMap(int) - Constructor for class edu.stanford.nlp.util.CacheMap
-
- cacheNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- calculate(double[]) - Method in class edu.stanford.nlp.classify.AdaptedGaussianPriorObjectiveFunction
-
Calculate the conditional likelihood.
- calculate(double[]) - Method in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
-
- calculate(double[]) - Method in class edu.stanford.nlp.classify.GeneralizedExpectationObjectiveFunction
-
- calculate(double[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
Calculate the conditional likelihood.
- calculate(double[]) - Method in class edu.stanford.nlp.classify.SemiSupervisedLogConditionalObjectiveFunction
-
- calculate(float[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
-
- calculate(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
Calculates both value and partial derivatives at the point x, and save them internally.
- calculate(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
-
Calculates both value and partial derivatives at the point x, and save them internally.
- calculate(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionNoisyLabel
-
Calculates both value and partial derivatives at the point x, and save them internally.
- calculate(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionWithDropout
-
Calculates both value and partial derivatives at the point x, and save them internally.
- calculate(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
-
Calculates both value and partial derivatives at the point x, and save them internally.
- calculate(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
-
Calculates both value and partial derivatives at the point x, and save them internally.
- calculate(float[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
-
Calculate the value at x and the derivative and save them in the respective fields
- calculate(double[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
-
Calculate the value at x and the derivative
and save them in the respective fields.
- calculateProbs(double[][][]) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
-
calculateProbs puts log probs of taggings in the probabilities array.
- calculatesHessianVectorProduct() - Method in enum edu.stanford.nlp.optimization.StochasticCalculateMethods
-
- calculateStochastic(double[], double[], int[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
This function is used to come up with an estimate of the value / gradient based on only a small
portion of the data (referred to as the batchSize for lack of a better term.
- calculateStochastic(double[], double[], int[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- calculateStochastic(double[], double[], int[]) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
calculateStochastic needs to calculate a stochastic approximation to the derivative and value of
of a function for a given batch of the data.
- calculateStochasticAlgorithmicDifferentiation(double[], double[], int[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- calculateStochasticFiniteDifference(double[], double[], double, int[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- calculateStochasticGradient(double[], int[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- calculateStochasticGradient(double[], int[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
Performs stochastic gradient update based
on samples indexed by batch, but does not apply regularization.
- calculateStochasticGradient(double[], int[]) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
-
Performs stochastic gradient calculation based
on samples indexed by batch and does not apply regularization.
- calculateStochasticGradient(double[], int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
-
Performs stochastic gradient updates based
on samples indexed by batch and do not apply regularization.
- calculateStochasticGradientLocal(double[], int[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- calculateStochasticUpdate(double[], double, int[], double) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- calculateStochasticUpdate(double[], double, int[], double) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
Performs stochastic update of weights x (scaled by xScale) based
on samples indexed by batch.
- calculateStochasticUpdate(double[], double, int[], double) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
-
Performs stochastic update of weights x (scaled by xScale) based
on samples indexed by batch.
- calculateStochasticUpdate(double[], double, int, double) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
-
Performs stochastic update of weights x (scaled by xScale) based
on next batch of batchSize.
- calculateWeird1(float[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
-
- CalendarAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CalendarAnnotation
-
- CALL_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- callback(Object...) - Method in class edu.stanford.nlp.util.CallbackFunction
-
- CallbackFunction - Class in edu.stanford.nlp.util
-
A callback function (along the lines of Berkeley optimization repo), which is currently used in the optimization package.
- CallbackFunction() - Constructor for class edu.stanford.nlp.util.CallbackFunction
-
- canApply(Configuration, String) - Method in class edu.stanford.nlp.parser.nndep.ArcStandard
-
- canApply(Configuration, String) - Method in class edu.stanford.nlp.parser.nndep.ParsingSystem
-
Determine whether the given transition is legal for this
configuration.
- canChangeEncoding(String, String) - Method in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
-
- canChangeEncoding(String, String) - Method in interface edu.stanford.nlp.trees.treebank.Mapper
-
Indicates whether child
can be converted to another encoding.
- CanonicalEntityMentionIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CanonicalEntityMentionIndexAnnotation
-
- canonicalObject - Variable in class edu.stanford.nlp.ie.util.RelationTriple
-
The object (third argument) of this triple, in its canonical mention (i.e., coref resolved).
- canonicalSubject - Variable in class edu.stanford.nlp.ie.util.RelationTriple
-
The subject (first argument) of this triple, in its canonical mention (i.e., coref resolved)
- capacity() - Method in class edu.stanford.nlp.util.Beam
-
- capitalize(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Uppercases the first character of a string.
- capture(OutputStream) - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
Capture a system stream.
- captureSystemStreams(boolean, boolean) - Static method in class edu.stanford.nlp.util.logging.Redwood
-
Captures System.out and System.err and redirects them
to Redwood logging.
- CASE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "case" grammatical relation.
- CASE_INSENSITIVE - Static variable in class edu.stanford.nlp.ling.tokensregex.NodePattern
-
- CASE_MARKER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "prepositional modifier" grammatical relation.
- casedDistSim - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
Whether to (not) lowercase tokens before looking them up in distsim
lexicon.
- CaseExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- CaseExpression(List<Pair<Expression, Expression>>, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.CaseExpression
-
- caseInsensitive - Variable in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- cast(Iterable<?>, Class<? extends T>) - Static method in class edu.stanford.nlp.util.Iterables
-
Casts all values in the given Iterable to the given type.
- cast(String, Type) - Static method in class edu.stanford.nlp.util.MetaClass
-
Cast a String representation of an object into that object.
- castToInt(double[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- castWithoutKnowingType(String) - Static method in class edu.stanford.nlp.util.MetaClass
-
- category() - Method in class edu.stanford.nlp.ling.CategoryWordTag
-
- category() - Method in class edu.stanford.nlp.ling.CoreLabel
-
Return the category value of the label (or null if none).
- category() - Method in interface edu.stanford.nlp.ling.HasCategory
-
Return the category value of the label (or null if none).
- categoryAndFunction(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns the syntactic category and 'function' of a String.
- categoryAndFunction(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns the syntactic category and 'function' of a String.
- CategoryAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CategoryAnnotation
-
- CategoryFunctionalTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CategoryFunctionalTagAnnotation
-
- CategoryWordTag - Class in edu.stanford.nlp.ling
-
A CategoryWordTag
object acts as a complex Label
which contains a category, a head word, and a tag.
- CategoryWordTag() - Constructor for class edu.stanford.nlp.ling.CategoryWordTag
-
- CategoryWordTag(String) - Constructor for class edu.stanford.nlp.ling.CategoryWordTag
-
This one argument constructor sets just the value.
- CategoryWordTag(String, String, String) - Constructor for class edu.stanford.nlp.ling.CategoryWordTag
-
- CategoryWordTag(Label) - Constructor for class edu.stanford.nlp.ling.CategoryWordTag
-
Creates a new CategoryWordTag label from an existing label.
- CategoryWordTagFactory - Class in edu.stanford.nlp.ling
-
A CategoryWordTagFactory
is a factory that makes
a Label
which is a CategoryWordTag
triplet.
- CategoryWordTagFactory() - Constructor for class edu.stanford.nlp.ling.CategoryWordTagFactory
-
- CatErrorEval(String) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval.CatErrorEval
-
- cCommands(Tree, Tree) - Method in class edu.stanford.nlp.trees.Tree
-
Given nodes t1
and t2
which are
dominated by this node, returns true
iff
t1
c-commands t2
.
- ccompObjVerbRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- ccompVerbRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
A list of verbs where the answer to a question involving that
verb would be a ccomp.
- CCtransform(Tree) - Static method in class edu.stanford.nlp.trees.CoordinationTransformer
-
Transforms t if it contains a coordination in a flat structure
- CEDict - Class in edu.stanford.nlp.trees.international.pennchinese
-
- Centuries - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
-
- CENTURY - Static variable in class edu.stanford.nlp.time.SUTime
-
- cf - Variable in class edu.stanford.nlp.util.CollectionValuedMap
-
- cf - Variable in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
- CGMinimizer - Class in edu.stanford.nlp.optimization
-
Conjugate-gradient implementation based on the code in Numerical
Recipes in C.
- CGMinimizer() - Constructor for class edu.stanford.nlp.optimization.CGMinimizer
-
Basic constructor, use this.
- CGMinimizer(boolean) - Constructor for class edu.stanford.nlp.optimization.CGMinimizer
-
Pass in false
to get per-iteration progress reports
(to stderr).
- CGMinimizer(Function) - Constructor for class edu.stanford.nlp.optimization.CGMinimizer
-
Perform minimization with monitoring.
- CGRunner - Class in edu.stanford.nlp.maxent
-
This class will call an optimization method such as Conjugate Gradient or
Quasi-Newton on a LambdaSolve object to find
optimal parameters, including imposing a Gaussian prior on those
parameters.
- CGRunner(LambdaSolve, String) - Constructor for class edu.stanford.nlp.maxent.CGRunner
-
Set up a LambdaSolve problem for solution by a Minimizer.
- CGRunner(LambdaSolve, String, double) - Constructor for class edu.stanford.nlp.maxent.CGRunner
-
Set up a LambdaSolve problem for solution by a Minimizer,
specifying a value for sigma2.
- CGRunner(LambdaSolve, String, double, double) - Constructor for class edu.stanford.nlp.maxent.CGRunner
-
Set up a LambdaSolve problem for solution by a Minimizer.
- CGRunner(LambdaSolve, String, double, double[]) - Constructor for class edu.stanford.nlp.maxent.CGRunner
-
Set up a LambdaSolve problem for solution by a Minimizer.
- chain(Comparator<? super T>, Comparator<? super T>) - Static method in class edu.stanford.nlp.util.Comparators
-
Returns a new Comparator
which is the result of chaining the
given Comparator
s.
- chain(List<Comparator<? super T>>) - Static method in class edu.stanford.nlp.util.Comparators
-
Returns a new Comparator
which is the result of chaining the
given Comparator
s.
- chain(Comparator<T>...) - Static method in class edu.stanford.nlp.util.Comparators
-
- chain(Iterable<? extends Iterable<T>>) - Static method in class edu.stanford.nlp.util.Iterables
-
Chains together a set of Iterables of compatible types.
- chain(Iterable<T>...) - Static method in class edu.stanford.nlp.util.Iterables
-
Chains together all Iterables of type T as given in an array or
varargs parameter.
- chain(T[]...) - Static method in class edu.stanford.nlp.util.Iterables
-
Chains together all arrays of type T[] as given in an array or
varargs parameter.
- chain(LogRecordHandler[], RedwoodConfiguration.Thunk) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
Apply each of the handlers to incoming log messages, in sequence.
- chain(LogRecordHandler, RedwoodConfiguration.Thunk) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
- chain(LogRecordHandler, LogRecordHandler, RedwoodConfiguration.Thunk) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
- chain(LogRecordHandler, LogRecordHandler, LogRecordHandler, RedwoodConfiguration.Thunk) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
- chain(LogRecordHandler, LogRecordHandler, LogRecordHandler, LogRecordHandler, RedwoodConfiguration.Thunk) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
- chain(LogRecordHandler, LogRecordHandler, LogRecordHandler, LogRecordHandler, LogRecordHandler, RedwoodConfiguration.Thunk) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
- changeFeatureIndex(Index<F>) - Method in class edu.stanford.nlp.classify.Dataset
-
- changeLabelIndex(Index<L>) - Method in class edu.stanford.nlp.classify.Dataset
-
- changePriority(E, double) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
Changes a priority, either up or down, adding the key it if it wasn't there already.
- changePriority(E, double) - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
Not supported in this implementation.
- changePriority(E, double) - Method in interface edu.stanford.nlp.util.PriorityQueue
-
Changes a priority, either up or down, adding the key it if it wasn't there already.
- channelColors - Variable in class edu.stanford.nlp.util.logging.OutputHandler
-
- channels(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood
-
Create an object representing a group of channels.
- channels() - Method in class edu.stanford.nlp.util.logging.Redwood.Record
-
Returns the channels for this record, in sorted order (special channels first, then alphabetical)
- channels(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
-
Creates a new RedwoodChannels object, concatenating the channels from
this RedwoodChannels with some additional channels.
- channels(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- channelSeparatorChar - Variable in class edu.stanford.nlp.util.logging.OutputHandler
-
Character used to join multiple channel names
- channelStyles - Variable in class edu.stanford.nlp.util.logging.OutputHandler
-
- channelWidth(int) - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
Set the width of the channels (or 0 to not show channels).
- CharacterOffsetBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetBeginAnnotation
-
- CharacterOffsetEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetEndAnnotation
-
- characters(char[], int, int) - Method in class edu.stanford.nlp.process.TransformXML.SAXInterface
-
- Characters - Class in edu.stanford.nlp.util
-
Character-level utilities.
- CharAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CharAnnotation
-
- charArrToByteArr(char[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- charArrToByteArr(char[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- charArrToByteArr(byte[], int, char[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- charHalfWindow - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- charOffsets - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
Character offsets (relative to original text).
- charTags - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- cheatPCFG - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Add all test set trees to training data for PCFG.
- check() - Method in class edu.stanford.nlp.util.IntervalTree
-
- check(IntervalTree.TreeNode<E, T>) - Method in class edu.stanford.nlp.util.IntervalTree
-
- checkArgs(List<Value>) - Method in interface edu.stanford.nlp.ling.tokensregex.types.ValueFunction
-
Checks if the arguments are valid.
- checkArgs(List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.BooleanFunction
-
- checkArgs(List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.CompareFunction
-
- checkArgs(List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericFunction
-
- checkArgs(List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.StringFunction
-
- checkArgs(List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.TypeCheckedFunction
-
- checkConstructor(Object...) - Method in class edu.stanford.nlp.util.MetaClass
-
- checkCorrectness() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Check whether the constraints are satisfied, the probabilities sum to one, etc.
- checkCorrectness() - Method in class edu.stanford.nlp.tagger.maxent.LambdaSolveTagger
-
Works out whether the model expectations match the empirical
expectations.
- checkError() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- checkFlagExclusiveSet(int, int, int) - Static method in class edu.stanford.nlp.util.Interval
-
Utility function to check if a particular flag is set exclusively
given a particular set of flags and a mask.
- checkFlagSet(int, int) - Static method in class edu.stanford.nlp.util.Interval
-
Utility function to check if a particular flag is set
given a particular set of flags.
- checkGradient - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- checkMultipleBitSet(int) - Static method in class edu.stanford.nlp.util.Interval
-
Utility function to check if multiple bits are set for flags
- checkNameList - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- checkOffsets(CoreMap) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Checks if offsets of doc and sentence matches.
- checkProperties(Properties, Properties) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Checks to make sure that all properties specified in properties
are known to the program by checking that each simply overrides
a default value.
- checkRequiredProperties(Properties, String...) - Static method in class edu.stanford.nlp.util.StringUtils
-
If any of the given list of properties are not found, returns the
name of that property.
- checkWordListMatch(PhraseTable.Phrase, PhraseTable.WordList, int, int, int, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- childPairs(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns a list of pairs of a relation name and the child
IndexedFeatureLabel that bears that relation.
- childRelns(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns a list of relations which this node has with its children.
- children() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
-
Returns an array of children for the current node, or null
if it is a leaf.
- children() - Method in class edu.stanford.nlp.trees.SimpleTree
-
Returns an array of children for the current node, or null
if it is a leaf.
- children() - Method in class edu.stanford.nlp.trees.Tree
-
Returns an array of children for the current node.
- children - Variable in class edu.stanford.nlp.trees.TreeGraphNode
-
Children of this node.
- children() - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Returns an array of the children of this node.
- children() - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
-
- ChildrenAnnotation() - Constructor for class edu.stanford.nlp.time.TimeExpression.ChildrenAnnotation
-
- CHINESE_PROPERTIES - Static variable in class edu.stanford.nlp.pipeline.LanguageInfo
-
- ChineseCharacterBasedLexicon - Class in edu.stanford.nlp.parser.lexparser
-
- ChineseCharacterBasedLexicon(ChineseTreebankParserParams, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- ChineseCharAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseCharAnnotation
-
- ChineseCollinizer - Class in edu.stanford.nlp.trees.international.pennchinese
-
Performs collinization operations on Chinese trees similar to
those for English Namely:
strips all functional & automatically-added tags
strips all punctuation
merges PRN and ADVP
eliminates ROOT (note that there are a few non-unary ROOT nodes;
these are not eliminated)
- ChineseCollinizer(ChineseTreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseCollinizer
-
- ChineseCollinizer(ChineseTreebankLanguagePack, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseCollinizer
-
- chineseColonAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- chineseCommaAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- chineseDashAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- chineseDouHaoAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- chineseEndSentenceAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- ChineseEnglishWordMap - Class in edu.stanford.nlp.trees.international.pennchinese
-
A class for mapping Chinese words to English.
- ChineseEnglishWordMap() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
Make a ChineseEnglishWordMap with a default CEDict path.
- ChineseEnglishWordMap(String) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
Make a ChineseEnglishWordMap
- ChineseEnglishWordMap(String, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
Make a ChineseEnglishWordMap
- ChineseEnglishWordMap(String, String, String, String) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
- ChineseEnglishWordMap(String, String, String, String, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
- ChineseEscaper - Class in edu.stanford.nlp.trees.international.pennchinese
-
An Escaper for Chinese normalization to match Treebank.
- ChineseEscaper() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEscaper
-
- ChineseGrammaticalRelations - Class in edu.stanford.nlp.trees.international.pennchinese
-
- ChineseGrammaticalStructure - Class in edu.stanford.nlp.trees.international.pennchinese
-
A GrammaticalStructure for Chinese.
- ChineseGrammaticalStructure(Tree) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
-
Construct a new GrammaticalStructure
from an
existing parse tree.
- ChineseGrammaticalStructure(Tree, Predicate<String>) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
-
- ChineseGrammaticalStructure(Tree, HeadFinder) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
-
- ChineseGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
-
- ChineseGrammaticalStructure(List<TypedDependency>, TreeGraphNode) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
-
Used for postprocessing CoNLL X dependencies
- ChineseGrammaticalStructure.FromDependenciesFactory - Class in edu.stanford.nlp.trees.international.pennchinese
-
- ChineseGrammaticalStructureFactory - Class in edu.stanford.nlp.trees.international.pennchinese
-
- ChineseGrammaticalStructureFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructureFactory
-
- ChineseGrammaticalStructureFactory(Predicate<String>) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructureFactory
-
- ChineseGrammaticalStructureFactory(Predicate<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructureFactory
-
- ChineseHeadFinder - Class in edu.stanford.nlp.trees.international.pennchinese
-
HeadFinder for the Penn Chinese Treebank.
- ChineseHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseHeadFinder
-
- ChineseHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseHeadFinder
-
- ChineseIsSegmentedAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseIsSegmentedAnnotation
-
- chineseLeftParenthesisAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- chineseLeftQuoteMarkAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- ChineseLexicon - Class in edu.stanford.nlp.parser.lexparser
-
A lexicon class for Chinese.
- ChineseLexicon(Options, ChineseTreebankParserParams, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseLexicon
-
- ChineseLexiconAndWordSegmenter - Class in edu.stanford.nlp.parser.lexparser
-
This class lets you train a lexicon and segmenter at the same time.
- ChineseLexiconAndWordSegmenter(ChineseLexicon, WordSegmenter) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- ChineseLexiconAndWordSegmenter(String, Options) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
Construct a new ChineseLexiconAndWordSegmenter.
- ChineseNumberSequenceClassifier - Class in edu.stanford.nlp.ie.regexp
-
A simple rule-based classifier that detects NUMBERs in a sequence of Chinese tokens.
- ChineseNumberSequenceClassifier() - Constructor for class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- ChineseNumberSequenceClassifier(boolean) - Constructor for class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- ChineseNumberSequenceClassifier(Properties, boolean, Properties) - Constructor for class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- ChineseOrigSegAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseOrigSegAnnotation
-
- chineseOtherAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- chineseParenthesisAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- ChineseQuantifiableEntityNormalizer - Class in edu.stanford.nlp.ie
-
A Chinese correspondence of the
QuantifiableEntityNormalizer
that normalizes NUMBER, DATE, TIME,
MONEY, PERCENT and ORDINAL amounts expressed in Chinese.
- chineseQuoteMarkAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- chineseRightParenthesisAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- chineseRightQuoteMarkAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- ChineseSegAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseSegAnnotation
-
- chineseSelectiveTagPA - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- ChineseSemanticHeadFinder - Class in edu.stanford.nlp.trees.international.pennchinese
-
Implements a 'semantic head' variant of the the HeadFinder found in Chinese Head Finder
- ChineseSemanticHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseSemanticHeadFinder
-
- ChineseSemanticHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseSemanticHeadFinder
-
- ChineseSimWordAvgDepGrammar - Class in edu.stanford.nlp.parser.lexparser
-
A Dependency grammar that smoothes by averaging over similar words.
- ChineseSimWordAvgDepGrammar(TreebankLangParserParams, boolean, boolean, boolean, boolean, Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseSimWordAvgDepGrammar
-
- chineseSplitDouHao - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: Split the dou hao (a punctuation mark separating
members of a list) from other punctuation.
- chineseSplitPunct - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: split Chinese punctuation several ways, along the lines
of English punctuation plus another category for the dou hao.
- chineseSplitPunctLR - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: split left right/paren quote (if chineseSplitPunct is also
true.
- chineseSplitVP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese VP splitting.
- ChineseTreebankLanguagePack - Class in edu.stanford.nlp.trees.international.pennchinese
-
Language pack for the UPenn/Colorado/Brandeis Chinese treebank.
- ChineseTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- ChineseTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser
-
Parameter file for parsing the Penn Chinese Treebank.
- ChineseTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- ChineseUtils - Class in edu.stanford.nlp.trees.international.pennchinese
-
This class contains a few String constants and
static methods for dealing with Chinese text.
- chineseVerySelectiveTagPA - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- chiSquare2by2(int, int, int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Find a 2x2 chi-square value.
- chomp(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Returns the supplied string with any trailing '\n' or '\r\n' removed.
- chomp(Object) - Static method in class edu.stanford.nlp.util.StringUtils
-
Returns the result of calling toString() on the supplied Object, but with
any trailing '\n' or '\r\n' removed.
- chooseTokenizerFactory() - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Figures out what tokenizer factory might be described by the
config.
- chooseTokenizerFactory(boolean, String, String, boolean) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- CHTBTokenizer - Class in edu.stanford.nlp.trees.international.pennchinese
-
A simple tokenizer for tokenizing Penn Chinese Treebank files.
- CHTBTokenizer(Reader) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CHTBTokenizer
-
Constructs a new tokenizer from a Reader.
- ChunkAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChunkAnnotation
-
- ChunkAnnotationUtils - Class in edu.stanford.nlp.pipeline
-
Utility functions for annotating chunks
- chunkOffsets - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
Chunk offsets (relative to chunking on top of original text)
- CL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "clause modifier of a preposition" grammatical relation.
- classBias - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- ClassicCounter<E> - Class in edu.stanford.nlp.stats
-
A specialized kind of hash table (or map) for storing numeric counts for
objects.
- ClassicCounter() - Constructor for class edu.stanford.nlp.stats.ClassicCounter
-
Constructs a new (empty) Counter backed by a HashMap.
- ClassicCounter(int) - Constructor for class edu.stanford.nlp.stats.ClassicCounter
-
- ClassicCounter(MapFactory<E, MutableDouble>) - Constructor for class edu.stanford.nlp.stats.ClassicCounter
-
Pass in a MapFactory and the map it vends will back your Counter.
- ClassicCounter(MapFactory<E, MutableDouble>, int) - Constructor for class edu.stanford.nlp.stats.ClassicCounter
-
Pass in a MapFactory and the map it vends will back your Counter.
- ClassicCounter(Counter<E>) - Constructor for class edu.stanford.nlp.stats.ClassicCounter
-
Constructs a new Counter with the contents of the given Counter.
- ClassicCounter(Collection<E>) - Constructor for class edu.stanford.nlp.stats.ClassicCounter
-
Constructs a new Counter by counting the elements in the given Collection.
- Classifier<L,F> - Interface in edu.stanford.nlp.classify
-
A simple interface for classifying and scoring data points, implemented
by most of the classifiers in this package.
- Classifier - Class in edu.stanford.nlp.parser.nndep
-
Neural network classifier which powers a transition-based dependency parser.
- Classifier(Config, double[][], double[][], double[], double[][], List<Integer>) - Constructor for class edu.stanford.nlp.parser.nndep.Classifier
-
Instantiate a classifier with previously learned parameters in
order to perform new inference.
- Classifier(Config, Dataset, double[][], double[][], double[], double[][], List<Integer>) - Constructor for class edu.stanford.nlp.parser.nndep.Classifier
-
Instantiate a classifier with training data and randomly
initialized parameter matrices in order to begin training.
- Classifier.Cost - Class in edu.stanford.nlp.parser.nndep
-
Describes the result of feedforward + backpropagation through
the neural network for the batch provided to a `CostFunction.`
- CLASSIFIER_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "classifier marker" grammatical relation.
- ClassifierCombiner<IN extends CoreMap & HasWord> - Class in edu.stanford.nlp.ie
-
Merges the outputs of two or more AbstractSequenceClassifiers according to
a simple precedence scheme: any given base classifier contributes only
classifications of labels that do not exist in the base classifiers specified
before, and that do not have any token overlap with labels assigned by
higher priority classifiers.
- ClassifierCombiner(Properties) - Constructor for class edu.stanford.nlp.ie.ClassifierCombiner
-
- ClassifierCombiner(Properties, ClassifierCombiner.CombinationMode, String...) - Constructor for class edu.stanford.nlp.ie.ClassifierCombiner
-
Loads a series of base classifiers from the paths specified using the
Properties specified.
- ClassifierCombiner(ClassifierCombiner.CombinationMode, String...) - Constructor for class edu.stanford.nlp.ie.ClassifierCombiner
-
Loads a series of base classifiers from the paths specified using the
Properties specified.
- ClassifierCombiner(String...) - Constructor for class edu.stanford.nlp.ie.ClassifierCombiner
-
Loads a series of base classifiers from the paths specified.
- ClassifierCombiner(AbstractSequenceClassifier<IN>...) - Constructor for class edu.stanford.nlp.ie.ClassifierCombiner
-
Combines a series of base classifiers.
- ClassifierCombiner(ObjectInputStream, Properties) - Constructor for class edu.stanford.nlp.ie.ClassifierCombiner
-
- ClassifierCreator<L,F> - Interface in edu.stanford.nlp.classify
-
Creates a classifier with given weights
- ClassifierFactory<L,F,C extends Classifier<L,F>> - Interface in edu.stanford.nlp.classify
-
A simple interface for training a Classifier from a Dataset of training
examples.
- classifierType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- classify(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Classify the tokens in a String.
- classify(List<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- classify(List<IN>) - Method in class edu.stanford.nlp.ie.ClassifierCombiner
-
Generates the AnswerAnnotation labels of the combined model for the given
tokens, storing them in place in the tokens.
- classify(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFBiasedClassifier
-
- classify(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- classify(List<IN>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- classify(List<CoreLabel>) - Method in class edu.stanford.nlp.ie.NERClassifierCombiner
-
- classify(List<IN>) - Method in class edu.stanford.nlp.ie.PresetSequenceClassifier
-
- classify(List<CoreLabel>) - Method in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
Use a set of heuristic rules to assign NER tags to tokens.
- classify(List<CoreLabel>) - Method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
-
- classifyAndWriteAnswers(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Load a text file, run the classifier on it, and then print the answers to
stdout (with timing to stderr).
- classifyAndWriteAnswers(String, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Load a test file, run the classifier on it, and then print the answers to
stdout (with timing to stderr).
- classifyAndWriteAnswers(String, DocumentReaderAndWriter<IN>, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Load a test file, run the classifier on it, and then print the answers to
stdout (with timing to stderr).
- classifyAndWriteAnswers(String, OutputStream, DocumentReaderAndWriter<IN>, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
If the flag
outputEncoding
is defined, the output is written in that
character encoding, otherwise in the system default character encoding.
- classifyAndWriteAnswers(String, String, DocumentReaderAndWriter<IN>, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- classifyAndWriteAnswers(Collection<List<IN>>, DocumentReaderAndWriter<IN>, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- classifyAndWriteAnswers(Collection<List<IN>>, PrintWriter, DocumentReaderAndWriter<IN>, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- classifyAndWriteAnswersKBest(String, int, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Load a test file, run the classifier on it, and then print the answers to
stdout (with timing to stderr).
- classifyAndWriteAnswersKBest(ObjectBank<List<IN>>, int, PrintWriter, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Run the classifier on the documents in an ObjectBank, and print the
answers to a given PrintWriter (with timing to stderr).
- classifyAndWriteViterbiSearchGraph(String, String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Load a test file, run the classifier on it, and then write a Viterbi search
graph for each sequence.
- classifyFile(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Classify the contents of a file.
- classifyFilesAndWriteAnswers(Collection<File>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Run the classifier on a collection of text files.
- classifyFilesAndWriteAnswers(Collection<File>, DocumentReaderAndWriter<IN>, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- classifyGibbs(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- classifyGibbs(List<IN>, Triple<int[][][], int[], double[][][]>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- classifyKBest(List<IN>, Class<? extends CoreAnnotation<String>>, int) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Takes a list of tokens and provides the K best sequence labelings of these tokens with their scores.
- classifyMaxEnt(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Do standard sequence inference, using either Viterbi or Beam inference
depending on the value of flags.inferenceType
.
- classifyRaw(String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Classify the tokens in a String.
- classifySentence(List<? extends HasWord>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Classify a List of IN.
- classifySentenceWithGlobalInformation(List<? extends HasWord>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Classify a List of IN using whatever additional information is passed in globalInfo.
- classifyStdin() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- classifyStdin(DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- classifyToCharacterOffsets(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Classify the contents of a
String
to classified character offset
spans.
- classifyToString(String, String, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Classify the contents of a
String
to one of several String
representations that shows the classes.
- classifyToString(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Classify the contents of a String to a tagged word/class String.
- classifyWithGlobalInformation(List<IN>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Classify a
List
of something that extends
CoreMap
using as
additional information whatever is stored in the document and sentence.
- classifyWithGlobalInformation(List<IN>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.ClassifierCombiner
-
- classifyWithGlobalInformation(List<IN>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- classifyWithGlobalInformation(List<IN>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- classifyWithGlobalInformation(List<CoreLabel>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.NERClassifierCombiner
-
- classifyWithGlobalInformation(List<IN>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.PresetSequenceClassifier
-
- classifyWithGlobalInformation(List<CoreLabel>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- classifyWithGlobalInformation(List<CoreLabel>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
-
- classifyWithInlineXML(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Classify the contents of a
String
.
- classIndex - Variable in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- classIndex() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- classIndex - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- classIndex - Variable in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
-
- className - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.ParamInfo
-
- classOf(Datum<L, F>) - Method in interface edu.stanford.nlp.classify.Classifier
-
- classOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
- classOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Deprecated.
- classOf(RVFDatum<L, F>) - Method in interface edu.stanford.nlp.classify.RVFClassifier
-
- classOf(List<IN>, int) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
Returns the most likely class for the word at the given position.
- classShorthandToFull - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
-
shorthands for CoreAnnotations
- CLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "clausal complement" grammatical relation.
- CLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "clausal" grammatical relation.
- CLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "clausal complement" (ccomp) grammatical relation.
- CLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "clausal complement" grammatical relation.
- CLAUSAL_LOCALIZER_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
- CLAUSAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
- CLAUSAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "clausal modifier of noun" relation.
- CLAUSAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "clausal passive subject" grammatical relation.
- CLAUSAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "clausal passive subject" grammatical relation.
- CLAUSAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "clausal subject" grammatical relation.
- CLAUSAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "clausal subject" grammatical relation.
- CLAUSAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "clausal subject" grammatical relation.
- CLAUSAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "clausal subject" grammatical relation.
- clausalComplementRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- clauseRelations - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
- clean() - Method in class edu.stanford.nlp.maxent.Features
-
- clean() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- clean() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- cleanGazette - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
-
Remove things like hyphened functional tags and equals from the
end of a node label.
- cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.DependencyTreeTransformer
-
- cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
-
Remove things like hyphened functional tags and equals from the
end of a node label.
- cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.CTBErrorCorrectingTreeNormalizer
-
Remove things like hyphened functional tags and equals from the
end of a node label.
- cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
Remove things like hyphened functional tags and equals from the
end of a node label.
- cleanUpRoot(String) - Static method in class edu.stanford.nlp.trees.DependencyTreeTransformer
-
- clear() - Method in class edu.stanford.nlp.classify.GeneralDataset
-
Resets the Dataset so that it is empty and ready to collect data.
- clear(int) - Method in class edu.stanford.nlp.classify.GeneralDataset
-
Resets the Dataset so that it is empty and ready to collect data.
- clear() - Method in class edu.stanford.nlp.classify.RVFDataset
-
Resets the Dataset so that it is empty and ready to collect data.
- clear(int) - Method in class edu.stanford.nlp.classify.RVFDataset
-
Resets the Dataset so that it is empty and ready to collect data.
- clear() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
clears the graph, removes all edges and nodes
- clear() - Method in interface edu.stanford.nlp.graph.Graph
-
clears the graph, removes all edges and nodes
- clear() - Method in class edu.stanford.nlp.io.StringOutputStream
-
- clear() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
Clears this table
- clear() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
-
- clear() - Method in class edu.stanford.nlp.objectbank.ObjectBank
-
- clear() - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
-
- clear() - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Removes all entries from the counter.
- clear() - Method in interface edu.stanford.nlp.stats.Counter
-
Removes all entries from the counter.
- clear() - Method in class edu.stanford.nlp.stats.IntCounter
-
Removes all counts from this Counter.
- clear() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
clears the map, total and default value
- clear() - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- clear() - Method in class edu.stanford.nlp.trees.CompositeTreebank
-
- clear() - Method in class edu.stanford.nlp.trees.DiskTreebank
-
Empty a Treebank
.
- clear() - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
Empty a Treebank
.
- clear() - Method in class edu.stanford.nlp.trees.TransformingTreebank
-
Empty a Treebank
.
- clear() - Method in class edu.stanford.nlp.trees.Treebank
-
Empty a Treebank
.
- clear() - Method in class edu.stanford.nlp.util.ArrayHeap
-
Clears the heap.
- clear() - Method in class edu.stanford.nlp.util.ArrayMap
-
- clear() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
Clears the queue.
- clear() - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
Clears this Map.
- clear() - Method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
-
- clear() - Method in class edu.stanford.nlp.util.DeltaMap
-
This is more expensive than normal.
- clear(int, int) - Method in class edu.stanford.nlp.util.EditDistance
-
- clear() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
- clear() - Method in class edu.stanford.nlp.util.HashIndex
-
Clears this Index.
- clear() - Method in class edu.stanford.nlp.util.IdentityHashSet
-
Removes all of the elements from this set.
- clear() - Method in interface edu.stanford.nlp.util.Index
-
- clear() - Method in class edu.stanford.nlp.util.Interner
-
- clear(int) - Method in class edu.stanford.nlp.util.Interner
-
- clear() - Method in class edu.stanford.nlp.util.IntervalTree
-
- clear() - Method in class edu.stanford.nlp.util.IntervalTree.TreeNode
-
- clear() - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
Clear any custom configurations to Redwood
- clear() - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
- clear() - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
- clear() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- clear2D(double[][]) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- clearCache() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
-
Clears the cache in a way that doesn't require reallocation :-)
- clearCache() - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
Clears the cache in a way that doesn't require reallocation :-).
- clearCounts() - Method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
-
- clearCounts() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- clearError() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- clearGradientHistories() - Method in class edu.stanford.nlp.parser.nndep.Classifier
-
Clear all gradient histories used for AdaGrad training.
- clearGradientsPerIter - Variable in class edu.stanford.nlp.parser.nndep.Config
-
During training, clear AdaGrad gradient histories after every
clearGradientsPerIter
iterations.
- clearHandlers() - Static method in class edu.stanford.nlp.util.logging.Redwood
-
Remove all log handlers from Redwood, presumably in order to
construct a custom pipeline afterwards
- clearMemory() - Method in class edu.stanford.nlp.ie.NERFeatureFactory
-
- clearMemory() - Method in class edu.stanford.nlp.objectbank.ObjectBank
-
If you are keeping the contents in memory,
this will clear the memory, and they will be
recomputed the next time iterator() is
called.
- clearMemory() - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
-
- clearNodeScope(Node) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
-
- clearVariables() - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- Clique - Class in edu.stanford.nlp.sequences
-
This class is meant to represent a clique in a (directed
or undirected) linear-chain graphical model.
- cliqueC - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
-
- cliqueCnC - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
-
- cliqueCp2C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
-
- cliqueCp3C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
-
- cliqueCp4C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
-
- cliqueCp5C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
-
- cliqueCpC - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
-
- cliqueCpCnC - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
-
- cliqueCpCp2C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
-
- cliqueCpCp2Cp3C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
-
- cliqueCpCp2Cp3Cp4C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
-
- cliqueCpCp2Cp3Cp4Cp5C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
-
- cliquePotentialFunc - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- CliquePotentialFunction - Interface in edu.stanford.nlp.ie.crf
-
- clone() - Method in class edu.stanford.nlp.stats.IntCounter
-
- clone() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
Returns a clone of this priority queue.
- clone() - Method in class edu.stanford.nlp.util.IdentityHashSet
-
Returns a shallow copy of this IdentityHashSet
instance:
the elements themselves are not cloned.
- close() - Method in class edu.stanford.nlp.io.BZip2PipedOutputStream
-
- close() - Method in class edu.stanford.nlp.io.ReaderInputStream
-
Closes the Stringreader.
- close() - Method in class edu.stanford.nlp.trees.FilteringTreeReader
-
Close the Reader behind this TreeReader
.
- close() - Method in class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReader
-
- close() - Method in class edu.stanford.nlp.trees.PennTreeReader
-
Closes the underlying Reader
used to create this
class.
- close() - Method in interface edu.stanford.nlp.trees.TreeReader
-
Close the Reader behind this TreeReader
.
- close() - Method in class edu.stanford.nlp.util.logging.JavaUtilLoggingAdaptor.RedwoodHandler
-
This is a no-op since Redwood doesn't have this.
- close() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- close() - Method in class edu.stanford.nlp.util.SystemUtils.ProcessOutputStream
-
- CLOSED_CLASS_THRESHOLD - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- closeIgnoringExceptions(Closeable) - Static method in class edu.stanford.nlp.io.IOUtils
-
Provides an implementation of closing a file for use in a finally block so
you can correctly close a file without even more exception handling stuff.
- closeNodeScope(Node, int) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
-
- closeNodeScope(Node, boolean) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
-
- closest(SUTime.Time, SUTime.Time...) - Static method in class edu.stanford.nlp.time.SUTime.Time
-
- CmdEvaluator - Class in edu.stanford.nlp.optimization
-
Runs a cmdline to evaluate a dataset (assumes cmd takes input from stdin)
- CmdEvaluator() - Constructor for class edu.stanford.nlp.optimization.CmdEvaluator
-
- CMMClassifier<IN extends CoreLabel> - Class in edu.stanford.nlp.ie.ner
-
Does Sequence Classification using a Conditional Markov Model.
- CMMClassifier() - Constructor for class edu.stanford.nlp.ie.ner.CMMClassifier
-
- CMMClassifier(Properties) - Constructor for class edu.stanford.nlp.ie.ner.CMMClassifier
-
- CMMClassifier(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.ner.CMMClassifier
-
- CmpToken() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- CNFTransformers - Class in edu.stanford.nlp.parser.lexparser
-
- coarseDistance - Variable in class edu.stanford.nlp.parser.lexparser.Options
-
Use coarser distance (4 bins) in dependency calculations
- coarseDistanceBin(int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- coarseDistanceBins - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- CoarseNamedEntityTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoarseNamedEntityTagAnnotation
-
- CoarseTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoarseTagAnnotation
-
- CodepointOffsetBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CodepointOffsetBeginAnnotation
-
- CodepointOffsetEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CodepointOffsetEndAnnotation
-
- collapseApproximate - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
Collapse records in a heuristic way to make reading easier.
- COLLAPSED_OPTIONS - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
-
Deprecated.
- CollapsedCCProcessedDependenciesAnnotation() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.CollapsedCCProcessedDependenciesAnnotation
-
Deprecated.
- CollapsedDependenciesAnnotation() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.CollapsedDependenciesAnnotation
-
Deprecated.
- collapseDependencies(List<TypedDependency>, boolean, GrammaticalStructure.Extras) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
-
Destructively modifies this Collection<TypedDependency>
by collapsing several types of transitive pairs of dependencies.
- collapseDependencies(List<TypedDependency>, boolean, GrammaticalStructure.Extras) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Destructively modify the Collection<TypedDependency>
to collapse
language-dependent transitive dependencies.
- collapseDependencies(List<TypedDependency>, boolean, GrammaticalStructure.Extras) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
-
- collapseDependencies(List<TypedDependency>, boolean, GrammaticalStructure.Extras) - Method in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalStructure
-
- collapseDependencies(List<TypedDependency>, boolean, GrammaticalStructure.Extras) - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
-
Destructively modifies this Collection<TypedDependency>
by collapsing several types of transitive pairs of dependencies or
by adding additional information from the dependents to the relation
of the governor.
- collapseDependenciesTree(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
-
- collapseDependenciesTree(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Destructively modify the Collection<TypedDependency>
to collapse
language-dependent transitive dependencies but keeping a tree structure.
- collapseDependenciesTree(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
-
- collapseExact - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
Collapse records which are duplicates into a single message, followed by a message detailing how many times
it was repeated.
- collapseNERLabels(List<CoreLabel>) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
-
Currently this populates a
List<CoreLabel>
with words from the passed List,
but NER entities are collapsed and
CoreLabel
constituents of entities have
NER information in their "quantity" fields.
- collapseRef - Variable in enum edu.stanford.nlp.trees.GrammaticalStructure.Extras
-
collapse the "ref" edges
- collapseWhCategories - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Collapse WHPP with PP, etc., in training and perhaps in evaluation.
- collectionAcceptFilter(E[]) - Static method in class edu.stanford.nlp.util.Filters
-
The collectionAcceptFilter accepts a certain collection.
- collectionAcceptFilter(Collection<E>) - Static method in class edu.stanford.nlp.util.Filters
-
The collectionAcceptFilter accepts a certain collection.
- CollectionFactory<T> - Class in edu.stanford.nlp.util
-
Factory for vending Collections.
- CollectionFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory
-
- CollectionFactory.ArrayListFactory<T> - Class in edu.stanford.nlp.util
-
- CollectionFactory.HashSetFactory<T> - Class in edu.stanford.nlp.util
-
- CollectionFactory.LinkedListFactory<T> - Class in edu.stanford.nlp.util
-
- CollectionFactory.SizedArrayListFactory<T> - Class in edu.stanford.nlp.util
-
- CollectionFactory.TreeSetFactory<T> - Class in edu.stanford.nlp.util
-
- collectionRejectFilter(E[]) - Static method in class edu.stanford.nlp.util.Filters
-
The collectionRejectFilter rejects a certain collection.
- collectionRejectFilter(Collection<E>) - Static method in class edu.stanford.nlp.util.Filters
-
The collectionRejectFilter rejects a certain collection.
- CollectionUtils - Class in edu.stanford.nlp.util
-
Collection of useful static methods for working with Collections.
- CollectionValuedMap<K,V> - Class in edu.stanford.nlp.util
-
- CollectionValuedMap(MapFactory<K, Collection<V>>, CollectionFactory<V>, boolean) - Constructor for class edu.stanford.nlp.util.CollectionValuedMap
-
Creates a new empty CollectionValuedMap.
- CollectionValuedMap(CollectionValuedMap<K, V>) - Constructor for class edu.stanford.nlp.util.CollectionValuedMap
-
Creates a new CollectionValuedMap with all of the mappings from cvm.
- CollectionValuedMap() - Constructor for class edu.stanford.nlp.util.CollectionValuedMap
-
Creates a new empty CollectionValuedMap which uses a HashMap as the
underlying Map, and HashSets as the Collections in each mapping.
- CollectionValuedMap(CollectionFactory<V>) - Constructor for class edu.stanford.nlp.util.CollectionValuedMap
-
Creates a new empty CollectionValuedMap which uses a HashMap as the
underlying Map.
- collectOperations(List<TsurgeonPattern>) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
-
Collects a list of operation patterns into a sequence of operations to be applied.
- collectSamples(SequenceModel, int, int) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
-
Collects numSamples samples of sequences, from the distribution over sequences defined
by the sequence model passed on construction.
- collectSamples(SequenceModel, int, int, int[]) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
-
Collects numSamples samples of sequences, from the distribution over sequences defined
by the sequence model passed on construction.
- collinize(Tree) - Method in class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
-
- collinizer() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
the tree transformer used to produce trees for evaluation.
- collinizer() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
-
The collinizer eliminates punctuation
- collinizer() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Returns a ChineseCollinizer
- collinizer() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
The tree transformer used to produce trees for evaluation.
- collinizer() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
-
- collinizer() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
-
- collinizer() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
-
returns a NegraPennCollinizer
- collinizer() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
-
- collinizer() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
The tree transformer applied to trees prior to evaluation.
- collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
the tree transformer used to produce trees for evaluation.
- collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
-
Stand-in collinizer does nothing to the tree.
- collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Returns a ChineseCollinizer that doesn't delete punctuation
- collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
- collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
-
- collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
-
Stand-in collinizer does nothing to the tree.
- collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
-
returns a NegraPennCollinizer
- collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
-
- collinizerEvalb() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
the tree transformer used to produce trees for evaluation.
- CollinsHeadFinder - Class in edu.stanford.nlp.trees
-
Implements the HeadFinder found in Michael Collins' 1999 thesis.
- CollinsHeadFinder() - Constructor for class edu.stanford.nlp.trees.CollinsHeadFinder
-
- CollinsHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.CollinsHeadFinder
-
This constructor provides the traditional behavior, where there is
no special avoidance of punctuation categories.
- CollinsHeadFinder(TreebankLanguagePack, String...) - Constructor for class edu.stanford.nlp.trees.CollinsHeadFinder
-
- collinsPunc - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Promote/delete punctuation like Collins.
- CollinsPuncTransformer - Class in edu.stanford.nlp.parser.lexparser
-
This class manipulates punctuation in trees (used with training trees)
in the same manner that Collins manipulated punctuation in trees when
building his parsing model.
- CollinsPuncTransformer(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.parser.lexparser.CollinsPuncTransformer
-
- CollocationFinder - Class in edu.stanford.nlp.trees
-
Finds WordNet collocations in parse trees.
- CollocationFinder(Tree, WordNetConnection) - Constructor for class edu.stanford.nlp.trees.CollocationFinder
-
Construct a new CollocationFinder
over the Tree
t.
- CollocationFinder(Tree, WordNetConnection, HeadFinder) - Constructor for class edu.stanford.nlp.trees.CollocationFinder
-
Construct a new CollocationFinder
over the Tree
t.
- Color - Enum in edu.stanford.nlp.util.logging
-
ANSI supported colors.
- colorChannel(String, Color) - Method in class edu.stanford.nlp.util.logging.OutputHandler
-
Color the tag for a particular channel this color
- colorToHTML(Color) - Static method in class edu.stanford.nlp.ie.crf.NERGUI
-
- columnCount - Variable in class edu.stanford.nlp.pipeline.CoNLLUReader
-
- ColumnDataClassifierAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ColumnDataClassifierAnnotation
-
- ColumnDocumentReaderAndWriter - Class in edu.stanford.nlp.sequences
-
DocumentReader for column format.
- ColumnDocumentReaderAndWriter() - Constructor for class edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
-
- columnStringToObject(Class, String, String, String[]) - Static method in class edu.stanford.nlp.util.StringUtils
-
Converts a tab delimited string into an object with given fields
Requires the object has setXxx functions for the specified fields
- columnStringToObject(Class<?>, String, Pattern, String[]) - Static method in class edu.stanford.nlp.util.StringUtils
-
Converts a tab delimited string into an object with given fields
Requires the object has public access for the specified fields
- combinationMode - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- combine(CRFClassifier<IN>, double) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Combines weighted crf with this crf.
- combine(Partial, Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- combine(double, double) - Method in class edu.stanford.nlp.util.EditDistance
-
- combine2DArr(double[][], double[][], double) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- combine2DArr(double[][], double[][]) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- combine2DArr(double[][], Map<Integer, double[]>) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- combine2DArr(double[][], Map<Integer, double[]>, double) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- combineAndScaleLopWeights(int, double[][], double[]) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
-
- combineAndScaleLopWeights2D(int, double[][][], double[]) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
-
- combineMoreGeneralFields(Partial, Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- combineMoreGeneralFields(Partial, Partial, DateTimeFieldType) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- combo - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- comboProps - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- COMMENT_LINE - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
-
patterns to match in CoNLL-U file
- commonAncestor(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Return the maximum distance to a least common ancestor.
- CommonWordsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CommonWordsAnnotation
-
- communicateWithNERServer(String, int, String) - Static method in class edu.stanford.nlp.ie.NERServer.NERClient
-
- communicateWithNERServer(String, int, String, BufferedReader, BufferedWriter, boolean) - Static method in class edu.stanford.nlp.ie.NERServer.NERClient
-
- compact() - Method in class edu.stanford.nlp.util.ArrayCoreMap
-
Reduces memory consumption to the minimum for representing the values
currently stored stored in this object.
- compactGrammar - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
How to compact grammars as FSMs.
- compactGrammar() - Method in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- ComparableComparator() - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.ComparableComparator
-
- Comparators - Class in edu.stanford.nlp.util
-
- compare(String, String) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher.LongestStringComparator
-
- compare(T, T) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.ComparableComparator
-
- compare(T, T) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.CompareFunction
-
- compare(Number, Number) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericComparator
-
- compare(String, String) - Method in class edu.stanford.nlp.trees.ud.CoNLLUUtils.DepIndexComparator
-
- compare(String, String) - Method in class edu.stanford.nlp.trees.ud.CoNLLUUtils.FeatureNameComparator
-
- compare(V1, V2) - Method in interface edu.stanford.nlp.util.Iterables.IncrementComparator
-
Returns -1 if the value of a should come before the value of b,
+1 if the value of b should come before the value of a, or 0 if
the two should be merged together.
- compare(Pair<T1, T2>, Pair<T1, T2>) - Method in class edu.stanford.nlp.util.Pair.ByFirstPairComparator
-
- compare(Pair<T1, T2>, Pair<T1, T2>) - Method in class edu.stanford.nlp.util.Pair.ByFirstReversePairComparator
-
- compare(Pair<T1, T2>, Pair<T1, T2>) - Method in class edu.stanford.nlp.util.Pair.BySecondPairComparator
-
- compare(Pair<T1, T2>, Pair<T1, T2>) - Method in class edu.stanford.nlp.util.Pair.BySecondReversePairComparator
-
- compare(Scored, Scored) - Method in class edu.stanford.nlp.util.ScoredComparator
-
- compareArrays(T[], T[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
Provides a consistent ordering over arrays.
- compareBooleanArrays(boolean[], boolean[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- CompareFunction(String, Comparator<T>, ValueFunctions.CompareType, Class) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.CompareFunction
-
- compareIntervalOrder(Interval<E>) - Method in class edu.stanford.nlp.util.Interval
-
Returns order of another interval compared to this one
- compareLists(List<T>, List<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Provides a consistent ordering over lists.
- compareTo(RelationTriple) - Method in class edu.stanford.nlp.ie.util.RelationTriple
-
- compareTo(IndexedWord) - Method in class edu.stanford.nlp.ling.IndexedWord
-
NOTE: For this compareTo, you must have a DocIDAnnotation,
SentenceIndexAnnotation, and IndexAnnotation for it to make sense and
be guaranteed to work properly.
- compareTo(ValueLabel) - Method in class edu.stanford.nlp.ling.ValueLabel
-
Orders by value()
's lexicographic ordering.
- compareTo(WordLemmaTag) - Method in class edu.stanford.nlp.ling.WordLemmaTag
-
Orders first by word, then by lemma, then by tag.
- compareTo(WordTag) - Method in class edu.stanford.nlp.ling.WordTag
-
Orders first by word, then by tag.
- compareTo(IntTaggedWord) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- compareTo(SemanticGraphEdge) - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
-
Compares SemanticGraphEdges.
- compareTo(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Duration
-
- compareTo(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.InexactTime
-
- compareTo(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.Time
-
- compareTo(GrammaticalRelation) - Method in class edu.stanford.nlp.trees.GrammaticalRelation
-
- compareTo(TypedDependency) - Method in class edu.stanford.nlp.trees.TypedDependency
-
- compareTo(IntTuple) - Method in class edu.stanford.nlp.util.IntTuple
-
- compareTo(MutableDouble) - Method in class edu.stanford.nlp.util.MutableDouble
-
Compares two MutableDouble
objects numerically.
- compareTo(MutableInteger) - Method in class edu.stanford.nlp.util.MutableInteger
-
Compares two MutableInteger
objects numerically.
- compareTo(Pair<T1, T2>) - Method in class edu.stanford.nlp.util.Pair
-
Compares this Pair
to another object.
- compareTo(Quadruple<T1, T2, T3, T4>) - Method in class edu.stanford.nlp.util.Quadruple
-
- compareTo(Triple<T1, T2, T3>) - Method in class edu.stanford.nlp.util.Triple
-
- compatibleWith(Language) - Method in enum edu.stanford.nlp.international.Language
-
Returns whether these two languages can be considered compatible with each other.
- compile(Env, String) - Static method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- compile(SequencePattern.PatternExpr) - Static method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- compile(String) - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
-
Compiles a regular expression over tokens into a TokenSequencePattern
using the default environment.
- compile(Env, String) - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
-
Compiles a regular expression over tokens into a TokenSequencePattern
using the specified environment.
- compile(String...) - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
-
Compiles a sequence of regular expressions into a TokenSequencePattern
using the default environment.
- compile(Env, String...) - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
-
Compiles a sequence of regular expressions into a TokenSequencePattern
using the specified environment.
- compile(SequencePattern.PatternExpr) - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
-
Compiles a PatternExpr into a TokenSequencePattern.
- compile(String, Env) - Static method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
Creates a pattern from the given string.
- compile(String) - Static method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
- compile(String) - Static method in class edu.stanford.nlp.trees.tregex.TregexPattern
-
Creates a pattern from the given string using the default HeadFinder and
BasicCategoryFunction.
- compile(String) - Method in class edu.stanford.nlp.trees.tregex.TregexPatternCompiler
-
Create a TregexPattern from this tregex string using the headFinder and
basicCat function this TregexPatternCompiler was created with.
- compileAnnotations(HeadFinder) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
-
- COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "complement" grammatical relation.
- COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "comp" grammatical relation.
- COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "complement" (comp) grammatical relation.
- COMPLEMENT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "complement" grammatical relation.
- COMPLEMENTIZER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "cp marker" grammatical relation.
- ComplexNodePattern<M,K> - Class in edu.stanford.nlp.ling.tokensregex
-
Pattern for matching a complex data structure
- ComplexNodePattern(BiFunction<M, K, Object>, List<Pair<K, NodePattern>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern
-
- ComplexNodePattern(BiFunction<M, K, Object>, Pair<K, NodePattern>...) - Constructor for class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern
-
- ComplexNodePattern(BiFunction<M, K, Object>, K, NodePattern) - Constructor for class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern
-
- ComplexNodePattern.AbstractStringAnnotationPattern - Class in edu.stanford.nlp.ling.tokensregex
-
- ComplexNodePattern.AttributesEqualMatchChecker<K> - Class in edu.stanford.nlp.ling.tokensregex
-
- ComplexNodePattern.IntegerAnnotationPattern - Class in edu.stanford.nlp.ling.tokensregex
-
- ComplexNodePattern.NilAnnotationPattern - Class in edu.stanford.nlp.ling.tokensregex
-
- ComplexNodePattern.NotNilAnnotationPattern - Class in edu.stanford.nlp.ling.tokensregex
-
- ComplexNodePattern.NumericAnnotationPattern - Class in edu.stanford.nlp.ling.tokensregex
-
- ComplexNodePattern.SequenceRegexPattern<T> - Class in edu.stanford.nlp.ling.tokensregex
-
- ComplexNodePattern.StringAnnotationPattern - Class in edu.stanford.nlp.ling.tokensregex
-
- ComplexNodePattern.StringAnnotationRegexPattern - Class in edu.stanford.nlp.ling.tokensregex
-
- ComplexNodePattern.StringInSetAnnotationPattern - Class in edu.stanford.nlp.ling.tokensregex
-
- compose(Map<X, Y>, Map<Y, Z>) - Static method in class edu.stanford.nlp.util.Maps
-
Compose two maps map1:x->y and map2:y->z to get a map x->z
- COMPOSITE_EXTRACT_RULE_CREATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- COMPOSITE_KEYS_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- COMPOSITE_RULE_TYPE - Static variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- COMPOSITE_VALUE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- CompositeExtractRuleCreator() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CompositeExtractRuleCreator
-
- CompositeFieldValue(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- CompositePartialTime(SUTime.PartialTime, SUTime.Time, SUTime.Time, SUTime.Time) - Constructor for class edu.stanford.nlp.time.SUTime.CompositePartialTime
-
- CompositePartialTime(SUTime.PartialTime, Partial, SUTime.Time, SUTime.Time, SUTime.Time) - Constructor for class edu.stanford.nlp.time.SUTime.CompositePartialTime
-
- CompositeTreebank - Class in edu.stanford.nlp.trees
-
- CompositeTreebank(Treebank, Treebank) - Constructor for class edu.stanford.nlp.trees.CompositeTreebank
-
- CompositeTreeTransformer - Class in edu.stanford.nlp.trees
-
A TreeTransformer that applies component TreeTransformers in order.
- CompositeTreeTransformer() - Constructor for class edu.stanford.nlp.trees.CompositeTreeTransformer
-
- CompositeTreeTransformer(List<TreeTransformer>) - Constructor for class edu.stanford.nlp.trees.CompositeTreeTransformer
-
- CompositeValue(String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
-
- CompositeValue(Map<String, Expression>, boolean, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
-
- COMPOUND - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "compound" grammatical relation (abstract).
- COMPOUND_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "compound modifier" grammatical relation.
- compute(double[], double[]) - Method in class edu.stanford.nlp.classify.LogPrior
-
Adjust the given grad array by adding the prior's gradient component
and return the value of the logPrior
- compute(Boolean...) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.BooleanFunction
-
- compute(Number...) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericFunction
-
- compute(String...) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.StringFunction
-
- compute() - Method in class edu.stanford.nlp.util.Lazy
-
Compute the value of this lazy.
- computeAverage(ToDoubleFunction<Triple<GeneralDataset<L, F>, GeneralDataset<L, F>, CrossValidator.SavedState>>) - Method in class edu.stanford.nlp.classify.CrossValidator
-
This computes the average over all folds of the function we're trying to optimize.
- computeCliquePotential(int, int, int[], double[], int) - Method in interface edu.stanford.nlp.ie.crf.CliquePotentialFunction
-
- computeCliquePotential(int, int, int[], double[], int) - Method in class edu.stanford.nlp.ie.crf.LinearCliquePotentialFunction
-
- computeCliquePotential(int, int, int[], double[], int) - Method in class edu.stanford.nlp.ie.crf.NoisyLabelLinearCliquePotentialFunction
-
- computeCliquePotential(int, int, int[], double[], int) - Method in class edu.stanford.nlp.ie.crf.NonLinearCliquePotentialFunction
-
- computeCliquePotential(int, int, int[], double[], int) - Method in class edu.stanford.nlp.ie.crf.NonLinearSecondOrderCliquePotentialFunction
-
- computeCostFunction(int, double, double) - Method in class edu.stanford.nlp.parser.nndep.Classifier
-
Determine the total cost on the dataset associated with this
classifier using the current learned parameters.
- computeStochastic(double[], double[], double) - Method in class edu.stanford.nlp.classify.LogPrior
-
- CONCAT - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- concat(IntTuple, IntTuple) - Static method in class edu.stanford.nlp.util.IntTuple
-
- CONCAT_COREMAP - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- CONCAT_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- CONCAT_TEXT - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- CONCAT_TOKENS - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- ConcatAggregator(String) - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatAggregator
-
- ConcatCoreMapListAggregator() - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatCoreMapListAggregator
-
- ConcatCoreMapListAggregator(boolean) - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatCoreMapListAggregator
-
- concatenate(T[], T[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
Concatenates two arrays and returns the result
- ConcatenationIterator<T> - Class in edu.stanford.nlp.util
-
Iterator that represents the concatenation of two other iterators.
- ConcatenationIterator(Iterator<T>, Iterator<T>) - Constructor for class edu.stanford.nlp.util.ConcatenationIterator
-
- concatIterators(Iterator<E>...) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Concatenate a number of iterators together, to form one big iterator.
- ConcatListAggregator() - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatListAggregator
-
- ConcatTextAggregator(String) - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatTextAggregator
-
- CONCURRENT_MAP_FACTORY - Static variable in class edu.stanford.nlp.util.MapFactory
-
- CONDENSE - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- CondExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- CondGroup(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- ConditionalExpression(Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.ConditionalExpression
-
- ConditionalExpression(String, Expression, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.ConditionalExpression
-
- conditionalize(List<K>) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
returns a GeneralizedCounter conditioned on the objects in the
List
argument.
- conditionalizeOnce(K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
Returns a GeneralizedCounter conditioned on the given top level object.
- conditionalLogProb(int[], int) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
-
- conditionalLogProbGivenFirst(int, int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
Computes the probability of the sequence OF being at the end of the table
given that the first tag in table is GIVEN.
- conditionalLogProbGivenNext(int[], int) - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
Computes the probability of the tag OF being at the beginning of the table
given that the tag sequence GIVEN is at the end of the table.
- conditionalLogProbGivenPrevious(int[], int) - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
Computes the probability of the tag OF being at the end of the table given
that the previous tag sequence in table is GIVEN.
- conditionalLogProbsGivenPrevious(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
Computes the probabilities of the tag at the end of the table given that
the previous tag sequence in table is GIVEN.
- conditionalSuffix(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishUnknownWordSignatures
-
- condLogProbGivenNext(int, int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- condLogProbGivenNext(int, E, E[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- condLogProbGivenPrevious(int, int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
Gives the probability of a tag at a single position conditioned on a
sequence of previous labels.
- condLogProbGivenPrevious(int, E, E[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- condLogProbsGivenNext(int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- condLogProbsGivenNext(int, E[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- condLogProbsGivenPrevious(int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- condLogProbsGivenPrevious(int, E[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- condProbGivenNext(int, int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- condProbGivenNext(int, E, E[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- condProbGivenPrevious(int, int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- condProbGivenPrevious(int, E, E[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- confidence - Variable in class edu.stanford.nlp.ie.util.RelationTriple
-
An optional score (confidence) for this triple
- confidenceGloss() - Method in class edu.stanford.nlp.ie.util.RelationTriple
-
A textual representation of the confidence.
- confidenceWeightedAccuracy() - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
-
- Config - Class in edu.stanford.nlp.parser.nndep
-
Defines configuration settings for training and testing the
neural-network dependency parser.
- Config(Properties) - Constructor for class edu.stanford.nlp.parser.nndep.Config
-
- Configuration - Class in edu.stanford.nlp.parser.nndep
-
Describe the current configuration of a parser (i.e., parser state).
- Configuration(Configuration) - Constructor for class edu.stanford.nlp.parser.nndep.Configuration
-
- Configuration(CoreMap) - Constructor for class edu.stanford.nlp.parser.nndep.Configuration
-
- confusionMatrix - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- ConfusionMatrix<U> - Class in edu.stanford.nlp.util
-
This implements a confusion table over arbitrary types of class labels.
- ConfusionMatrix() - Constructor for class edu.stanford.nlp.util.ConfusionMatrix
-
- ConfusionMatrix(Locale) - Constructor for class edu.stanford.nlp.util.ConfusionMatrix
-
- ConfusionMatrix.Contingency - Class in edu.stanford.nlp.util
-
Contingency table, listing precision ,recall, specificity, and f1 given
the number of true and false positives, true and false negatives.
- ConjFilter(List<Predicate<T>>) - Constructor for class edu.stanford.nlp.util.Filters.ConjFilter
-
- ConjFilter(Predicate<T>...) - Constructor for class edu.stanford.nlp.util.Filters.ConjFilter
-
- ConjNodePattern(List<NodePattern<T>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.NodePattern.ConjNodePattern
-
- conjoinShapeNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- CONJUNCT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "conjunct" grammatical relation.
- CONJUNCT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "conjunct" grammatical relation.
- CONJUNCT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "conjunct" (conj) grammatical relation.
- CONJUNCT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "conjunct" grammatical relation.
- CoNLLDepAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepAnnotation
-
- CoNLLDepParentIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepParentIndexAnnotation
-
- CoNLLDepTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepTypeAnnotation
-
- CoNLLDocumentReaderAndWriter - Class in edu.stanford.nlp.sequences
-
DocumentReader for the original CoNLL 03 format.
- CoNLLDocumentReaderAndWriter() - Constructor for class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
-
- CoNLLPredicateAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLPredicateAnnotation
-
- CoNLLSRLAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLSRLAnnotation
-
- CoNLLU_GovField - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
-
- CoNLLU_IndexField - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
-
field constants
- CoNLLU_LemmaField - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
-
- CoNLLU_MiscField - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
-
- CoNLLU_RelnField - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
-
- CoNLLU_UPOSField - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
-
- CoNLLU_WordField - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
-
- CoNLLU_XPOSField - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
-
- CoNLLUDocument() - Constructor for class edu.stanford.nlp.pipeline.CoNLLUReader.CoNLLUDocument
-
- CoNLLUDocumentReader - Class in edu.stanford.nlp.trees.ud
-
Reader for ConLL-U formatted dependency treebanks.
- CoNLLUDocumentReader() - Constructor for class edu.stanford.nlp.trees.ud.CoNLLUDocumentReader
-
- CoNLLUDocumentReader(Language) - Constructor for class edu.stanford.nlp.trees.ud.CoNLLUDocumentReader
-
- CoNLLUFeats() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLUFeats
-
- CoNLLUMisc() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLUMisc
-
- CoNLLUReader - Class in edu.stanford.nlp.pipeline
-
A class for reading in CoNLL-U data and creating Annotations.
- CoNLLUReader() - Constructor for class edu.stanford.nlp.pipeline.CoNLLUReader
-
- CoNLLUReader(Properties) - Constructor for class edu.stanford.nlp.pipeline.CoNLLUReader
-
- CoNLLUReader.CoNLLUDocument - Class in edu.stanford.nlp.pipeline
-
class to store info for a CoNLL-U document
- CoNLLUReader.CoNLLUSentence - Class in edu.stanford.nlp.pipeline
-
class to store info for a CoNLL-U sentence
- CoNLLUSecondaryDepsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLUSecondaryDepsAnnotation
-
- CoNLLUSentence() - Constructor for class edu.stanford.nlp.pipeline.CoNLLUReader.CoNLLUSentence
-
- CoNLLUTokenSpanAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLUTokenSpanAnnotation
-
- CoNLLUUtils - Class in edu.stanford.nlp.trees.ud
-
Utility functions for reading and writing CoNLL-U files.
- CoNLLUUtils() - Constructor for class edu.stanford.nlp.trees.ud.CoNLLUUtils
-
- CoNLLUUtils.DepIndexComparator - Class in edu.stanford.nlp.trees.ud
-
- CoNLLUUtils.FeatureNameComparator - Class in edu.stanford.nlp.trees.ud
-
- CoNLLX_FieldCount - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
-
- CoNLLX_GovField - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
-
- CoNLLX_POSField - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
-
- CoNLLX_RelnField - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
-
- CoNLLX_WordField - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
-
- ConnectedComponents<V,E> - Class in edu.stanford.nlp.graph
-
Finds connected components in the graph, currently uses inefficient list for
variable 'verticesLeft'.
- ConnectedComponents() - Constructor for class edu.stanford.nlp.graph.ConnectedComponents
-
- console(String, Consumer<String>) - Static method in class edu.stanford.nlp.io.IOUtils
-
Start a simple console.
- console(Consumer<String>) - Static method in class edu.stanford.nlp.io.IOUtils
-
- Constituent - Class in edu.stanford.nlp.trees
-
A Constituent
object defines a generic edge in a graph.
- Constituent() - Constructor for class edu.stanford.nlp.trees.Constituent
-
- ConstituentFactory - Interface in edu.stanford.nlp.trees
-
A ConstituentFactory
is a factory for creating objects
of class Constituent
, or some descendent class.
- constituentFactory() - Method in class edu.stanford.nlp.trees.LabeledConstituent
-
Return a factory for this kind of constituent.
- constituentFactory() - Method in class edu.stanford.nlp.trees.SimpleConstituent
-
Return a factory for this kind of constituent.
- constituents() - Method in class edu.stanford.nlp.trees.Tree
-
Returns the Constituents generated by the parse tree.
- constituents(ConstituentFactory) - Method in class edu.stanford.nlp.trees.Tree
-
Returns the Constituents generated by the parse tree.
- constituents(ConstituentFactory, int) - Method in class edu.stanford.nlp.trees.Tree
-
Returns the Constituents generated by the parse tree.
- constituents(ConstituentFactory, boolean) - Method in class edu.stanford.nlp.trees.Tree
-
Returns the Constituents generated by the parse tree.
- constituents(ConstituentFactory, boolean, Predicate<Tree>) - Method in class edu.stanford.nlp.trees.Tree
-
- contains(Span) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
-
Returns true if this span contains otherSpan.
- contains(int) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
-
Returns true if i is inside this span.
- contains(ISODateInstance) - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
Returns true iff this date
contains the date represented by other.
- contains(Object) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
-
- contains(int[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- contains(Object) - Method in class edu.stanford.nlp.objectbank.ObjectBank
-
Can be slow.
- contains(Object) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
-
- contains(SUTime.Range) - Method in class edu.stanford.nlp.time.SUTime.Range
-
Checks if the provided range r is within the current range.
- contains(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.Range
-
Checks if the provided time is within the current range.
- contains(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.Time
-
- contains(Constituent) - Method in class edu.stanford.nlp.trees.Constituent
-
Detects whether this constituent contains a constituent, that is
whether they are nested.
- contains(T[], T) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
Returns true iff object o equals (not ==) some element of array a.
- contains(Object) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
Returns whether the queue contains the given key.
- contains(Object) - Method in class edu.stanford.nlp.util.HashIndex
-
Checks whether an Object already has an index in the Index
- contains(Object) - Method in class edu.stanford.nlp.util.IdentityHashSet
-
Returns true if this set contains the specified element.
- contains(Object) - Method in interface edu.stanford.nlp.util.Index
-
- contains(E) - Method in class edu.stanford.nlp.util.Interval
-
Checks whether the point p is contained inside this interval.
- contains(Interval<E>) - Method in class edu.stanford.nlp.util.Interval
-
- contains(Object) - Method in class edu.stanford.nlp.util.IntervalTree
-
- contains(T) - Method in class edu.stanford.nlp.util.IntervalTree
-
- contains(Object) - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
- contains(K1, K2) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- CONTAINS_FIRST_ENDPOINTS_COMPARATOR - Static variable in interface edu.stanford.nlp.util.HasInterval
-
- containsAll(Collection<?>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
-
- containsAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ObjectBank
-
Can be slow.
- containsAll(Collection<?>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
-
- containsAll(Collection<?>) - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
- containsAny(Collection<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
if any item in toCheck is present in collection
- containsEdge(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- containsEdge(SemanticGraphEdge) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- containsFirstKey(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- containsIgnoreCase(Collection<String>, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Convenience method: a case-insensitive variant of Collection.contains.
- containsInSubarray(int[], int, int, int) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- containsInterval(T, boolean) - Method in class edu.stanford.nlp.util.IntervalTree
-
- containsInterval(IntervalTree<E, T>, E, boolean) - Static method in class edu.stanford.nlp.util.IntervalTree
-
- containsInterval(IntervalTree<E, T>, Interval<E>, boolean) - Static method in class edu.stanford.nlp.util.IntervalTree
-
- containsKey(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- containsKey(Object) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- containsKey(E) - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Returns whether a Counter contains a key.
- containsKey(E) - Method in interface edu.stanford.nlp.stats.Counter
-
Returns whether a Counter contains a key.
- containsKey(E) - Method in class edu.stanford.nlp.stats.Distribution
-
- containsKey(List<K>) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
Like
ClassicCounter
, this currently returns true if the count is
explicitly 0.0 for something
- containsKey(E) - Method in class edu.stanford.nlp.stats.IntCounter
-
- containsKey(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- containsKey(K1, K2) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- containsKey(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- containsKey(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
Does the word exist in the dictionary?
- containsKey(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.util.ArrayCoreMap
-
Returns true if contains the given key.
- containsKey(Object) - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
- containsKey(Object) - Method in class edu.stanford.nlp.util.DeltaMap
-
This is more expensive.
- containsKey(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
- containsKey(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- containsKey(Class<? extends TypesafeMap.Key<VALUE>>) - Method in interface edu.stanford.nlp.util.TypesafeMap
-
Returns true if contains the given key.
- ContainsMessage(String) - Constructor for class edu.stanford.nlp.util.logging.LogFilter.ContainsMessage
-
- containsObject(Collection<T>, T) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Checks whether a Collection contains a specified Object.
- containsOpen(E) - Method in class edu.stanford.nlp.util.Interval
-
- containsValue(Object) - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
Unsupported.
- containsValue(IntervalTree<E, T>, T) - Static method in class edu.stanford.nlp.util.IntervalTree
-
- containsVertex(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- containsVertex(V) - Method in interface edu.stanford.nlp.graph.Graph
-
- containsVertex(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- content - Variable in class edu.stanford.nlp.util.logging.Redwood.Record
-
- context - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
Function indicating how to extract an value from annotation built from this expression
- ContextsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ContextsAnnotation
-
- Contingency(int, int, int, int) - Constructor for class edu.stanford.nlp.util.ConfusionMatrix.Contingency
-
- continuingInputs() - Method in class edu.stanford.nlp.fsm.DFSAState
-
- CONTROLLED_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "xsubj" grammatical relation.
- CONTROLLED_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "xsubj" grammatical relation, replaced with "nsubj:xsubj".
- CONTROLLING_CLAUSAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "controlling clausal passive subject" relation.
- CONTROLLING_CLAUSAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "controlling clausal subject" relation.
- CONTROLLING_NOMINAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "controlling nominal passive subject" relation.
- CONTROLLING_NOMINAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "controlling nominal subject" relation.
- ConversionOptions() - Constructor for class edu.stanford.nlp.time.JodaTimeUtils.ConversionOptions
-
- convert(String) - Static method in class edu.stanford.nlp.util.DataFilePaths
-
- ConvertByteArray - Class in edu.stanford.nlp.util
-
This is used to convert an array of double into byte array which makes it possible to keep it more efficiently.
- convertCoNLLUDocumentToAnnotation(CoNLLUReader.CoNLLUDocument) - Method in class edu.stanford.nlp.pipeline.CoNLLUReader
-
Convert a CoNLLUDocument into an Annotation
The convention is that a CoNLLU document represents a list of sentences,
one sentence per line, separated by newline.
- convertCoNLLUSentenceToCoreMap(CoNLLUReader.CoNLLUDocument, CoNLLUReader.CoNLLUSentence) - Method in class edu.stanford.nlp.pipeline.CoNLLUReader
-
Convert a list of CoNLL-U token lines into a sentence CoreMap
- convertPath(List<V>, boolean) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- convertToCoreLabels(Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
Converts the tree labels to CoreLabels.
- convertToUPOS - Variable in enum edu.stanford.nlp.trees.GrammaticalStructureConversionUtils.ConverterOptions
-
- convertTrees(String[], String) - Static method in class edu.stanford.nlp.trees.GrammaticalStructureConversionUtils
-
Given sentences or trees, output the typed dependencies.
- convertValueToBoolean(Value, boolean) - Static method in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
- convertValueToBooleanValue(Value, boolean) - Static method in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
- CoolingSchedule - Class in edu.stanford.nlp.sequences
-
- CoolingSchedule() - Constructor for class edu.stanford.nlp.sequences.CoolingSchedule
-
- COORDINATION - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "coordination" grammatical relation.
- COORDINATION - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "coordination" grammatical relation.
- COORDINATION - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "coordination" grammatical relation.
- COORDINATION - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "coordination" grammatical relation.
- CoordinationPattern - Class in edu.stanford.nlp.semgraph.semgrex
-
- CoordinationPattern(boolean, List<SemgrexPattern>, boolean, boolean) - Constructor for class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
-
- CoordinationTransformer - Class in edu.stanford.nlp.trees
-
Coordination transformer transforms a PennTreebank tree containing
a coordination in a flat structure in order to get the dependencies
right.
- CoordinationTransformer(HeadFinder) - Constructor for class edu.stanford.nlp.trees.CoordinationTransformer
-
- CoordinationTransformer(HeadFinder, boolean) - Constructor for class edu.stanford.nlp.trees.CoordinationTransformer
-
Constructor
- COPULA - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "copula" grammatical relation.
- COPULA - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "copula" grammatical relation.
- COPULA - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "copula" grammatical relation.
- CopulaHeadFinder - Interface in edu.stanford.nlp.trees
-
A mix-in interface for HeadFinders which support the
makesCopulaHead method, which says how the HeadFinder in question
handles "to be" verbs.
- copularVerbs - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- copularWordRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- copy() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.AndPatternExpr
-
- copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.BackRefPatternExpr
-
- copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.GroupPatternExpr
-
- copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.MultiNodePatternExpr
-
- copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.NodePatternExpr
-
- copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.OrPatternExpr
-
- copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.PatternExpr
-
Make a deep copy of the sequence pattern expressions
- copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.RepeatPatternExpr
-
- copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequencePatternExpr
-
- copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SpecialNodePatternExpr
-
- copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.ValuePatternExpr
-
- copy(float[], float[]) - Static method in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
-
- copy(double[], double[]) - Static method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
-
- copy() - Method in class edu.stanford.nlp.pipeline.Annotation
-
Copies the map, but not a deep copy.
- copy(int[]) - Static method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
-
- copy(TsurgeonMatcher, TreeFactory, LabelFactory) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.AuxiliaryTree
-
Copies the Auxiliary tree.
- copy(long[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- copy(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- copy(int[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- copy(double[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- copy(double[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- copy(double[][][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- copy(float[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- copy(float[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- copy(float[][][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- copyCount() - Method in class edu.stanford.nlp.ling.IndexedWord
-
- copyTokens(List<CoreLabel>, CoreMap) - Static method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
-
Create a copy of srcTokens, detecting on the fly if character offsets need adjusting
- copyUnsetAnnotations(CoreMap, CoreMap) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Copies annotation over to this CoreMap if not already set.
- CoreAnnotation<V> - Interface in edu.stanford.nlp.ling
-
The base class for any annotation that can be marked on a
CoreMap
,
parameterized by the type of the value associated with the annotation.
- CoreAnnotations - Class in edu.stanford.nlp.ling
-
Set of common annotations for
CoreMap
s.
- CoreAnnotations.AbbrAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.AbgeneAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.AbstrAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.AfterAnnotation - Class in edu.stanford.nlp.ling
-
Annotation for the whitespace characters appear after this word.
- CoreAnnotations.AnswerAnnotation - Class in edu.stanford.nlp.ling
-
The standard key for the answer which is a String
- CoreAnnotations.AnswerObjectAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.AnswerProbAnnotation - Class in edu.stanford.nlp.ling
-
The matching probability for the AnswerAnnotation
- CoreAnnotations.AntecedentAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key identifying the annotation's antecedent.
- CoreAnnotations.ArabicCharAnnotation - Class in edu.stanford.nlp.ling
-
for Arabic: character level information, segmentation
- CoreAnnotations.ArabicSegAnnotation - Class in edu.stanford.nlp.ling
-
For Arabic: the segmentation information from the segmenter.
- CoreAnnotations.ArgDescendentAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.ArgumentAnnotation - Class in edu.stanford.nlp.ling
-
The standard key for a propbank label which is of type Argument
- CoreAnnotations.AuthorAnnotation - Class in edu.stanford.nlp.ling
-
Author for the document
(really should be a set of authors, but just have single string for simplicity)
- CoreAnnotations.BagOfWordsAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.BeAnnotation - Class in edu.stanford.nlp.ling
-
annotation stolen from the lex parser
- CoreAnnotations.BeforeAnnotation - Class in edu.stanford.nlp.ling
-
Annotation for the whitespace characters appearing before this word.
- CoreAnnotations.BeginIndexAnnotation - Class in edu.stanford.nlp.ling
-
This indexes the beginning of a span of words, e.g., a constituent in a
tree.
- CoreAnnotations.BestCliquesAnnotation - Class in edu.stanford.nlp.ling
-
Used in Task3 Pascal system
- CoreAnnotations.BestFullAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.CalendarAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key identifying the date and time associated with an
annotation.
- CoreAnnotations.CanonicalEntityMentionIndexAnnotation - Class in edu.stanford.nlp.ling
-
Index into the list of entity mentions in a document for canonical entity mention.
- CoreAnnotations.CategoryAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.CategoryFunctionalTagAnnotation - Class in edu.stanford.nlp.ling
-
The standard key for storing category with functional tags.
- CoreAnnotations.CharacterOffsetBeginAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key identifying the offset of the first char of an
annotation.
- CoreAnnotations.CharacterOffsetEndAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key identifying the offset of the last character after the end
of an annotation.
- CoreAnnotations.CharAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.ChineseCharAnnotation - Class in edu.stanford.nlp.ling
-
For Chinese: character level information, segmentation.
- CoreAnnotations.ChineseIsSegmentedAnnotation - Class in edu.stanford.nlp.ling
-
Not sure exactly what this is, but it is different from
ChineseSegAnnotation and seems to indicate if the text is segmented
- CoreAnnotations.ChineseOrigSegAnnotation - Class in edu.stanford.nlp.ling
-
For Chinese: the segmentation info existing in the original text.
- CoreAnnotations.ChineseSegAnnotation - Class in edu.stanford.nlp.ling
-
For Chinese: the segmentation information from the segmenter.
- CoreAnnotations.ChunkAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.CoarseNamedEntityTagAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key for getting the coarse named entity tag (i.e.
- CoreAnnotations.CoarseTagAnnotation - Class in edu.stanford.nlp.ling
-
CoNLL dep parsing - coarser POS tags.
- CoreAnnotations.CodepointOffsetBeginAnnotation - Class in edu.stanford.nlp.ling
-
Some codepoints count as more than one character.
- CoreAnnotations.CodepointOffsetEndAnnotation - Class in edu.stanford.nlp.ling
-
Some codepoints count as more than one character.
- CoreAnnotations.ColumnDataClassifierAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.CommonWordsAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.CoNLLDepAnnotation - Class in edu.stanford.nlp.ling
-
CoNLL dep parsing - the dependency type, such as SBJ or OBJ.
- CoreAnnotations.CoNLLDepParentIndexAnnotation - Class in edu.stanford.nlp.ling
-
CoNLL dep parsing - the index of the word which is the parent of this word
in the dependency tree
- CoreAnnotations.CoNLLDepTypeAnnotation - Class in edu.stanford.nlp.ling
-
CoNLL dep parsing - the dependency type, such as SBJ or OBJ.
- CoreAnnotations.CoNLLPredicateAnnotation - Class in edu.stanford.nlp.ling
-
CoNLL SRL/dep parsing - whether the word is a predicate
- CoreAnnotations.CoNLLSRLAnnotation - Class in edu.stanford.nlp.ling
-
CoNLL SRL/dep parsing - map which, for the current word, specifies its
specific role for each predicate
- CoreAnnotations.CoNLLUFeats - Class in edu.stanford.nlp.ling
-
CoNLL-U dep parsing - List of morphological features
- CoreAnnotations.CoNLLUMisc - Class in edu.stanford.nlp.ling
-
CoNLL-U dep parsing - Any other annotation
- CoreAnnotations.CoNLLUSecondaryDepsAnnotation - Class in edu.stanford.nlp.ling
-
CoNLL-U dep parsing - List of secondary dependencies
- CoreAnnotations.CoNLLUTokenSpanAnnotation - Class in edu.stanford.nlp.ling
-
CoNLL-U dep parsing - span of multiword tokens
- CoreAnnotations.ContextsAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.CorefMentionToEntityMentionMappingAnnotation - Class in edu.stanford.nlp.ling
-
mapping from coref mentions to corresponding ner derived entity mentions
- CoreAnnotations.CostMagnificationAnnotation - Class in edu.stanford.nlp.ling
-
Key for relative value of a word - used in RTE
- CoreAnnotations.CovertIDAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.D2_LBeginAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.D2_LEndAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.D2_LMiddleAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.DayAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.DependentsAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.DictAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.DistSimAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.DoAnnotation - Class in edu.stanford.nlp.ling
-
annotation stolen from the lex parser
- CoreAnnotations.DocDateAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.DocIDAnnotation - Class in edu.stanford.nlp.ling
-
This refers to the unique identifier for a "document", where document may
vary based on your application.
- CoreAnnotations.DocSourceTypeAnnotation - Class in edu.stanford.nlp.ling
-
Document source type
What kind of place did the document come from: newswire, discussion forum, web...
- CoreAnnotations.DocTitleAnnotation - Class in edu.stanford.nlp.ling
-
Document title
What is the document title
- CoreAnnotations.DocTypeAnnotation - Class in edu.stanford.nlp.ling
-
Document type
What kind of document is it: story, multi-part article, listing, email, etc
- CoreAnnotations.DomainAnnotation - Class in edu.stanford.nlp.ling
-
Used in CRFClassifier stuff PositionAnnotation should possibly be an int -
it's present as either an int or string depending on context CharAnnotation
may be "CharacterAnnotation" - not sure
- CoreAnnotations.EndIndexAnnotation - Class in edu.stanford.nlp.ling
-
This indexes the end of a span of words, e.g., a constituent in a
tree.
- CoreAnnotations.EntityClassAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.EntityMentionIndexAnnotation - Class in edu.stanford.nlp.ling
-
index into the list of entity mentions in a document
- CoreAnnotations.EntityMentionToCorefMentionMappingAnnotation - Class in edu.stanford.nlp.ling
-
Mapping from NER-derived entity mentions to coref mentions.
- CoreAnnotations.EntityRuleAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.EntityTypeAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.ExceptionAnnotation - Class in edu.stanford.nlp.ling
-
Stores an exception associated with processing this document
- CoreAnnotations.FeaturesAnnotation - Class in edu.stanford.nlp.ling
-
The standard key for the features which is a Collection
- CoreAnnotations.FemaleGazAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.FineGrainedNamedEntityTagAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key for getting the fine grained named entity tag (i.e.
- CoreAnnotations.FirstChildAnnotation - Class in edu.stanford.nlp.ling
-
used in binarized trees to specify the first child in the rule for which
this node is the parent
- CoreAnnotations.ForcedSentenceEndAnnotation - Class in edu.stanford.nlp.ling
-
This indicates the sentence should end at this token.
- CoreAnnotations.ForcedSentenceUntilEndAnnotation - Class in edu.stanford.nlp.ling
-
This indicates that starting at this token, the sentence should not be ended until
we see a ForcedSentenceEndAnnotation.
- CoreAnnotations.FreqAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.GazAnnotation - Class in edu.stanford.nlp.ling
-
Possibly this should be grouped with gazetteer annotation - original key
was "gaz".
- CoreAnnotations.GazetteerAnnotation - Class in edu.stanford.nlp.ling
-
The standard key for the gazetteer information
- CoreAnnotations.GenderAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key identifying an entity mention's potential gender.
- CoreAnnotations.GenericTokensAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key for getting the tokens (can be words, phrases or anything that are of type CoreMap) contained by an annotation.
- CoreAnnotations.GeniaAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.GoldAnswerAnnotation - Class in edu.stanford.nlp.ling
-
The standard key for gold answer which is a String
- CoreAnnotations.GovernorAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.GrandparentAnnotation - Class in edu.stanford.nlp.ling
-
specifies the base state of the parent of this node in the parse tree
- CoreAnnotations.HaveAnnotation - Class in edu.stanford.nlp.ling
-
annotation stolen from the lex parser
- CoreAnnotations.HeadWordStringAnnotation - Class in edu.stanford.nlp.ling
-
The key for storing a Head word as a string rather than a pointer (as in
TreeCoreAnnotations.HeadWordAnnotation)
- CoreAnnotations.HeightAnnotation - Class in edu.stanford.nlp.ling
-
Used in srl.unsup
- CoreAnnotations.IDAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.IDFAnnotation - Class in edu.stanford.nlp.ling
-
Inverse document frequency of the word this label represents
- CoreAnnotations.INAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.IndexAnnotation - Class in edu.stanford.nlp.ling
-
This indexes a token number inside a sentence.
- CoreAnnotations.InterpretationAnnotation - Class in edu.stanford.nlp.ling
-
The standard key for the semantic interpretation
- CoreAnnotations.IsDateRangeAnnotation - Class in edu.stanford.nlp.ling
-
it really seems like this should have a different name or else be a boolean
- CoreAnnotations.IsFirstWordOfMWTAnnotation - Class in edu.stanford.nlp.ling
-
The CoreLabel key identifying whether a token is the first word derived
from a multi-word-token.
- CoreAnnotations.IsMultiWordTokenAnnotation - Class in edu.stanford.nlp.ling
-
The CoreLabel key identifying whether a token is a multi-word-token
This is attached to
CoreLabel
s.
- CoreAnnotations.IsNewlineAnnotation - Class in edu.stanford.nlp.ling
-
The CoreLabel key identifying whether a token is a newline or not
This is attached to
CoreLabel
s.
- CoreAnnotations.IsURLAnnotation - Class in edu.stanford.nlp.ling
-
it really seems like this should have a different name or else be a boolean
- CoreAnnotations.KBPTriplesAnnotation - Class in edu.stanford.nlp.ling
-
An annotation for a sentence tagged with its KBP relation.
- CoreAnnotations.LabelAnnotation - Class in edu.stanford.nlp.ling
-
Used in wsd.supwsd package
- CoreAnnotations.LabelIDAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.LabelWeightAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.LastGazAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.LastTaggedAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.LBeginAnnotation - Class in edu.stanford.nlp.ling
-
Used in Gale2007ChineseSegmenter
- CoreAnnotations.LeftChildrenNodeAnnotation - Class in edu.stanford.nlp.ling
-
used in incremental DAG parser
- CoreAnnotations.LeftTermAnnotation - Class in edu.stanford.nlp.ling
-
The Standard key for storing the left terminal number relative to the root
of the tree of the leftmost terminal dominated by the current node
- CoreAnnotations.LemmaAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key for getting the lemma (morphological stem, lexeme form) of a token.
- CoreAnnotations.LEndAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.LengthAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.LineNumberAnnotation - Class in edu.stanford.nlp.ling
-
Line number for a sentence in a document delimited by newlines
instead of punctuation.
- CoreAnnotations.LinkAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.LMiddleAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.LocationAnnotation - Class in edu.stanford.nlp.ling
-
Reference location for the document
- CoreAnnotations.MaleGazAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.MarkingAnnotation - Class in edu.stanford.nlp.ling
-
Another key used for propbank - to signify core arg nodes or predicate
nodes
- CoreAnnotations.MentionsAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.MentionTokenAnnotation - Class in edu.stanford.nlp.ling
-
used in dcoref.
- CoreAnnotations.MonthAnnotation - Class in edu.stanford.nlp.ling
-
Used in nlp.coref
- CoreAnnotations.MorphoCaseAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.MorphoGenAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.MorphoNumAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.MorphoPersAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.MWTTokenTextAnnotation - Class in edu.stanford.nlp.ling
-
Text of the token that was used to create this word during a multi word token split.
- CoreAnnotations.NamedEntityTagAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key for getting the token-level named entity tag (e.g., DATE,
PERSON, etc.)
This key is typically set on token annotations.
- CoreAnnotations.NamedEntityTagProbsAnnotation - Class in edu.stanford.nlp.ling
-
Label and probability pair representing the coarse grained label and probability
- CoreAnnotations.NeighborsAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.NERIDAnnotation - Class in edu.stanford.nlp.ling
-
This is an NER ID annotation (in case the all caps parsing didn't work out
for you...)
- CoreAnnotations.NormalizedNamedEntityTagAnnotation - Class in edu.stanford.nlp.ling
-
The key for the normalized value of numeric named entities.
- CoreAnnotations.NotAnnotation - Class in edu.stanford.nlp.ling
-
annotation stolen from the lex parser
- CoreAnnotations.NumericCompositeObjectAnnotation - Class in edu.stanford.nlp.ling
-
Annotation indicating the numeric object associated with an annotation.
- CoreAnnotations.NumericCompositeTypeAnnotation - Class in edu.stanford.nlp.ling
-
Annotation indicating the numeric value of the phrase the token is part of
(twenty first => 21 21 ).
- CoreAnnotations.NumericCompositeValueAnnotation - Class in edu.stanford.nlp.ling
-
Annotation indicating whether the numeric phrase the token is part of
represents a NUMBER or ORDINAL (twenty first => ORDINAL ORDINAL).
- CoreAnnotations.NumericObjectAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.NumericTypeAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.NumericValueAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.NumerizedTokensAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.NumTxtSentencesAnnotation - Class in edu.stanford.nlp.ling
-
Used by RTE to track number of text sentences, to determine when hyp
sentences begin.
- CoreAnnotations.OriginalCharAnnotation - Class in edu.stanford.nlp.ling
-
Seems like this could be consolidated with something else...
- CoreAnnotations.OriginalTextAnnotation - Class in edu.stanford.nlp.ling
-
The exact original surface form of a token.
- CoreAnnotations.ParagraphAnnotation - Class in edu.stanford.nlp.ling
-
used in dcoref.
- CoreAnnotations.ParagraphIndexAnnotation - Class in edu.stanford.nlp.ling
-
used in ParagraphAnnotator.
- CoreAnnotations.ParagraphsAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key for getting the paragraphs contained by an annotation.
- CoreAnnotations.ParaPositionAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.ParentAnnotation - Class in edu.stanford.nlp.ling
-
The standard key for the parent which is a String
- CoreAnnotations.PartOfSpeechAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key for getting the Penn part of speech of a token.
- CoreAnnotations.PercentAnnotation - Class in edu.stanford.nlp.ling
-
annotation stolen from the lex parser
- CoreAnnotations.PhraseWordsAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.PhraseWordsTagAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.PolarityAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.PositionAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.PossibleAnswersAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.PredictedAnswerAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.PresetAnswerAnnotation - Class in edu.stanford.nlp.ling
-
The standard key for the answer which is a String
- CoreAnnotations.PrevChildAnnotation - Class in edu.stanford.nlp.ling
-
used in binarized trees to say the name of the most recent child
- CoreAnnotations.PriorAnnotation - Class in edu.stanford.nlp.ling
-
Used in propbank.srl
- CoreAnnotations.ProtoAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.QuotationIndexAnnotation - Class in edu.stanford.nlp.ling
-
Unique identifier within a document for a given quotation.
- CoreAnnotations.QuotationsAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key for getting the quotations contained by an annotation.
- CoreAnnotations.QuotedAnnotation - Class in edu.stanford.nlp.ling
-
Indicate whether a sentence is quoted
- CoreAnnotations.QuotesAnnotation - Class in edu.stanford.nlp.ling
-
Store a list of CoreMaps representing quotes
- CoreAnnotations.RoleAnnotation - Class in edu.stanford.nlp.ling
-
The standard key for the semantic role label of a phrase.
- CoreAnnotations.SectionAnnotation - Class in edu.stanford.nlp.ling
-
Section of a document
- CoreAnnotations.SectionAuthorCharacterOffsetBeginAnnotation - Class in edu.stanford.nlp.ling
-
Store the beginning of the author mention for this section
- CoreAnnotations.SectionAuthorCharacterOffsetEndAnnotation - Class in edu.stanford.nlp.ling
-
Store the end of the author mention for this section
- CoreAnnotations.SectionDateAnnotation - Class in edu.stanford.nlp.ling
-
Date for a section of a document
- CoreAnnotations.SectionEndAnnotation - Class in edu.stanford.nlp.ling
-
Indicates that the token end a section and the label of the section
- CoreAnnotations.SectionIDAnnotation - Class in edu.stanford.nlp.ling
-
Id for a section of a document
- CoreAnnotations.SectionIndexAnnotation - Class in edu.stanford.nlp.ling
-
Store an index into a list of sections
- CoreAnnotations.SectionsAnnotation - Class in edu.stanford.nlp.ling
-
Store a list of sections in the document
- CoreAnnotations.SectionStartAnnotation - Class in edu.stanford.nlp.ling
-
Indicates that the token starts a new section and the attributes
that should go into that section
- CoreAnnotations.SectionTagAnnotation - Class in edu.stanford.nlp.ling
-
Store the xml tag for the section as a CoreLabel
- CoreAnnotations.SemanticHeadTagAnnotation - Class in edu.stanford.nlp.ling
-
The standard key for Semantic Head Word POS which is a String
- CoreAnnotations.SemanticHeadWordAnnotation - Class in edu.stanford.nlp.ling
-
The standard key for Semantic Head Word which is a String
- CoreAnnotations.SemanticTagAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.SemanticWordAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.SentenceBeginAnnotation - Class in edu.stanford.nlp.ling
-
The index of the sentence that this annotation begins in.
- CoreAnnotations.SentenceEndAnnotation - Class in edu.stanford.nlp.ling
-
The index of the sentence that this annotation begins in.
- CoreAnnotations.SentenceIDAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.SentenceIndexAnnotation - Class in edu.stanford.nlp.ling
-
Unique identifier within a document for a given sentence.
- CoreAnnotations.SentencePositionAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.SentencesAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key for getting the sentences contained in an annotation.
- CoreAnnotations.ShapeAnnotation - Class in edu.stanford.nlp.ling
-
The standard key for the "shape" of a word: a String representing the type
of characters in a word, such as "Xx" for a capitalized word.
- CoreAnnotations.SpaceBeforeAnnotation - Class in edu.stanford.nlp.ling
-
Used in Chinese segmenters for whether there was space before a character.
- CoreAnnotations.SpanAnnotation - Class in edu.stanford.nlp.ling
-
The standard key for span which is an IntPair
- CoreAnnotations.SpeakerAnnotation - Class in edu.stanford.nlp.ling
-
used in dcoref.
- CoreAnnotations.SpeakerTypeAnnotation - Class in edu.stanford.nlp.ling
-
used to store speaker type information for coref
- CoreAnnotations.SRL_ID - Enum in edu.stanford.nlp.ling
-
- CoreAnnotations.SRLIDAnnotation - Class in edu.stanford.nlp.ling
-
The key for semantic role labels (Note: please add to this description if
you use this key)
- CoreAnnotations.SRLInstancesAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.StackedNamedEntityTagAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key for getting the token-level named entity tag (e.g., DATE,
PERSON, etc.) from a previous NER tagger.
- CoreAnnotations.StateAnnotation - Class in edu.stanford.nlp.ling
-
The base version of the parser state, like NP or VBZ or ...
- CoreAnnotations.StatementTextAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key identifying the annotation's text, as formatted by the
QuestionToStatementTranslator
.
- CoreAnnotations.StemAnnotation - Class in edu.stanford.nlp.ling
-
Stem of the word this label represents.
- CoreAnnotations.SubcategorizationAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.TagLabelAnnotation - Class in edu.stanford.nlp.ling
-
Used in Trees
- CoreAnnotations.TextAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key identifying the annotation's text.
- CoreAnnotations.TokenBeginAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key identifying the first token included in an annotation.
- CoreAnnotations.TokenEndAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key identifying the last token after the end of an annotation.
- CoreAnnotations.TokensAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key for getting the tokens contained by an annotation.
- CoreAnnotations.TopicAnnotation - Class in edu.stanford.nlp.ling
-
Used for Topic Assignments from LDA or its equivalent models.
- CoreAnnotations.TrueCaseAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key for getting the token-level true case annotation (e.g.,
INIT_UPPER)
This key is typically set on token annotations.
- CoreAnnotations.TrueCaseTextAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key identifying the annotation's true-cased text.
- CoreAnnotations.TrueTagAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.UBlockAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.UnaryAnnotation - Class in edu.stanford.nlp.ling
-
whether the node is the parent in a unary rule
- CoreAnnotations.UnclosedQuotationsAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key for getting the quotations contained by an annotation.
- CoreAnnotations.UnknownAnnotation - Class in edu.stanford.nlp.ling
-
Note: this is not a catchall "unknown" annotation but seems to have a
specific meaning for sequence classifiers
- CoreAnnotations.UseMarkedDiscourseAnnotation - Class in edu.stanford.nlp.ling
-
used in dcoref.
- CoreAnnotations.UtteranceAnnotation - Class in edu.stanford.nlp.ling
-
used in dcoref.
- CoreAnnotations.UTypeAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.ValueAnnotation - Class in edu.stanford.nlp.ling
-
Contains the "value" - an ill-defined string used widely in MapLabel.
- CoreAnnotations.VerbSenseAnnotation - Class in edu.stanford.nlp.ling
-
Probank key for the Verb sense given in the Propbank Annotation, should
only be in the verbnode
- CoreAnnotations.WebAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.WikipediaEntityAnnotation - Class in edu.stanford.nlp.ling
-
An annotation for the Wikipedia page (i.e., canonical name) associated with
this token.
- CoreAnnotations.WordFormAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.WordnetSynAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.WordPositionAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.WordSenseAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.XmlContextAnnotation - Class in edu.stanford.nlp.ling
-
Used in CleanXMLAnnotator.
- CoreAnnotations.XmlElementAnnotation - Class in edu.stanford.nlp.ling
-
Used in SimpleXMLAnnotator.
- CoreAnnotations.YearAnnotation - Class in edu.stanford.nlp.ling
-
- CorefMentionToEntityMentionMappingAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CorefMentionToEntityMentionMappingAnnotation
-
- CoreLabel - Class in edu.stanford.nlp.ling
-
A CoreLabel represents a single word with ancillary information
attached using CoreAnnotations.
- CoreLabel() - Constructor for class edu.stanford.nlp.ling.CoreLabel
-
Default constructor, calls super()
- CoreLabel(int) - Constructor for class edu.stanford.nlp.ling.CoreLabel
-
Initializes this CoreLabel, pre-allocating arrays to hold
up to capacity key,value pairs.
- CoreLabel(CoreLabel) - Constructor for class edu.stanford.nlp.ling.CoreLabel
-
Returns a new CoreLabel instance based on the contents of the given
CoreLabel.
- CoreLabel(CoreMap) - Constructor for class edu.stanford.nlp.ling.CoreLabel
-
Returns a new CoreLabel instance based on the contents of the given
CoreMap.
- CoreLabel(Label) - Constructor for class edu.stanford.nlp.ling.CoreLabel
-
Returns a new CoreLabel instance based on the contents of the given
label.
- CoreLabel(String[], String[]) - Constructor for class edu.stanford.nlp.ling.CoreLabel
-
This constructor attempts to parse the String keys
into Class keys.
- CoreLabel(Class[], String[]) - Constructor for class edu.stanford.nlp.ling.CoreLabel
-
This constructor attempts uses preparsed Class keys.
- CoreLabel.GenericAnnotation<T> - Interface in edu.stanford.nlp.ling
-
Class that all "generic" annotations extend.
- CoreLabel.OutputFormat - Enum in edu.stanford.nlp.ling
-
- coreLabelFactory() - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
-
a factory that vends CoreLabel tokens with default tokenization.
- coreLabelFactory() - Static method in class edu.stanford.nlp.process.PTBTokenizer
-
- coreLabelFactory(String) - Static method in class edu.stanford.nlp.process.PTBTokenizer
-
- CoreLabelTokenFactory - Class in edu.stanford.nlp.process
-
Constructs
CoreLabel
s from Strings optionally with
beginning and ending (character after the end) offset positions in
an original text.
- CoreLabelTokenFactory() - Constructor for class edu.stanford.nlp.process.CoreLabelTokenFactory
-
Constructor for a new token factory which will add in the word, the
"current" annotation, and the begin/end position annotations.
- CoreLabelTokenFactory(boolean) - Constructor for class edu.stanford.nlp.process.CoreLabelTokenFactory
-
Constructor that allows one to choose if index annotation
indicating begin/end position will be included in the label.
- CoreMap - Interface in edu.stanford.nlp.util
-
Base type for all annotatable core objects.
- COREMAP_LIST_TO_STRING_CONVERTER - Static variable in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
-
- COREMAP_TO_CHAR_OFFSETS_INTERVAL_FUNC - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- COREMAP_TO_TOKEN_OFFSETS_INTERVAL_FUNC - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- CoreMapAggregator - Class in edu.stanford.nlp.pipeline
-
Function that aggregates several core maps into one
- CoreMapAggregator(Map<Class, CoreMapAttributeAggregator>) - Constructor for class edu.stanford.nlp.pipeline.CoreMapAggregator
-
- CoreMapAggregator(Map<Class, CoreMapAttributeAggregator>, Class, CoreLabelTokenFactory) - Constructor for class edu.stanford.nlp.pipeline.CoreMapAggregator
-
- CoreMapAttributeAggregator - Class in edu.stanford.nlp.pipeline
-
Functions for aggregating token attributes.
- CoreMapAttributeAggregator() - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- CoreMapAttributeAggregator.ConcatAggregator - Class in edu.stanford.nlp.pipeline
-
- CoreMapAttributeAggregator.ConcatCoreMapListAggregator<T extends CoreMap> - Class in edu.stanford.nlp.pipeline
-
- CoreMapAttributeAggregator.ConcatListAggregator<T> - Class in edu.stanford.nlp.pipeline
-
- CoreMapAttributeAggregator.ConcatTextAggregator - Class in edu.stanford.nlp.pipeline
-
- CoreMapAttributeAggregator.MostFreqAggregator - Class in edu.stanford.nlp.pipeline
-
- CoreMapExpressionExtractor<T extends MatchedExpression> - Class in edu.stanford.nlp.ling.tokensregex
-
Represents a list of assignment and extraction rules over sequence patterns.
- CoreMapExpressionExtractor() - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
-
Creates an empty instance with no rules.
- CoreMapExpressionExtractor(Env) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
-
Creates a default instance with the specified environment.
- CoreMapExpressionExtractor(Env, List<SequenceMatchRules.Rule>) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
-
Creates an instance with the specified environment and list of rules
- CoreMapExpressionExtractor.Stage<T> - Class in edu.stanford.nlp.ling.tokensregex
-
Describes one stage of extraction.
- CoreMapExpressionNodePattern - Class in edu.stanford.nlp.ling.tokensregex
-
Pattern for matching a CoreMap using a generic expression
- CoreMapExpressionNodePattern() - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionNodePattern
-
- CoreMapExpressionNodePattern(Env, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionNodePattern
-
- CoreMapExprNodePattern(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- CoreMapExtractRule(Env, Class, SequenceMatchRules.ExtractRule<T, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapExtractRule
-
- CoreMapFunctionApplier(Env, Class, Function<T, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapFunctionApplier
-
- CoreMapNode(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- CoreMapNodePattern - Class in edu.stanford.nlp.ling.tokensregex
-
Pattern for matching a CoreMap
- CoreMapNodePattern(List<Pair<Class, NodePattern>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
-
- CoreMapNodePattern(Pair<Class, NodePattern>...) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
-
- CoreMapNodePattern(Class, NodePattern) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
-
- CoreMapNodePattern.AttributesEqualMatchChecker<K> - Class in edu.stanford.nlp.ling.tokensregex
-
- CoreMapNodePatternTrigger - Class in edu.stanford.nlp.ling.tokensregex
-
Trigger for CoreMap Node Patterns.
- CoreMapNodePatternTrigger(SequencePattern<CoreMap>...) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePatternTrigger
-
- CoreMapNodePatternTrigger(Collection<? extends SequencePattern<CoreMap>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePatternTrigger
-
- CoreMapSequenceMatchAction<T extends CoreMap> - Class in edu.stanford.nlp.ling.tokensregex
-
Performs a action on a matched sequence
- CoreMapSequenceMatchAction() - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction
-
- CoreMapSequenceMatchAction.AnnotateAction<T extends CoreMap> - Class in edu.stanford.nlp.ling.tokensregex
-
- CoreMapSequenceMatchAction.MergeAction - Class in edu.stanford.nlp.ling.tokensregex
-
- CoreMapSequenceMatcher<T extends CoreMap> - Class in edu.stanford.nlp.ling.tokensregex
-
CoreMap Sequence Matcher for regular expressions for sequences over CoreMaps.
- CoreMapSequenceMatcher(SequencePattern<T>, List<? extends T>) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
-
- CoreMapSequenceMatcher.BasicCoreMapSequenceMatcher - Class in edu.stanford.nlp.ling.tokensregex
-
- CoreMapToListExtractRule(SequenceMatchRules.ExtractRule<List<? extends CoreMap>, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapToListExtractRule
-
- CoreMapToListFunctionApplier(Env, Function<List<? extends CoreMap>, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapToListFunctionApplier
-
- CoreMapVarNodePattern(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- CoreMapVarValue(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- CoreMapWordPattern(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- CoreTokenFactory<IN extends CoreMap> - Interface in edu.stanford.nlp.process
-
To make tokens like CoreMap or CoreLabel.
- correct(double, int) - Static method in class edu.stanford.nlp.classify.PRCurve
-
- correctDependencies(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
-
- correctDependencies(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Destructively modify the TypedDependencyGraph
to correct
language-dependent dependencies.
- correctDependencies(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
-
- correctDependencies(SemanticGraph) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
-
- correctGuesses - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- correctTags - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
'Correct' tags to produce verbs in VPs, etc.
- cosine(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- CostMagnificationAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CostMagnificationAnnotation
-
- COUNT - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- countCloseToZero(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- countEntityResults(List<? extends CoreMap>, Counter<String>, Counter<String>, Counter<String>, String) - Static method in class edu.stanford.nlp.sequences.IOBUtils
-
For a sequence labeling task with multi-token entities, like NER,
this works out TP, FN, FP counts that can be used for entity-level
F1 results.
- Counter<E> - Interface in edu.stanford.nlp.stats
-
An Object to double map used for keeping weights or counts for objects.
- counter - Variable in class edu.stanford.nlp.stats.Distribution
-
- Counters - Class in edu.stanford.nlp.stats
-
Static methods for operating on a
Counter
.
- counterView() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
Returns a read-only synchronous view (not a snapshot) of
this
as a
ClassicCounter
.
- countHistory(IntDependency) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
- countInfinite(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- countNaN(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- countNegative(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- countNonZero(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- countPositive(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- countResults(List<IN>, Counter<String>, Counter<String>, Counter<String>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Count results using a method appropriate for the tag scheme being used.
- countResultsSegmenter(List<? extends CoreMap>, Counter<String>, Counter<String>, Counter<String>) - Static method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- CountWrapper - Class in edu.stanford.nlp.tagger.maxent
-
A simple data structure for some tag counts.
- CountWrapper() - Constructor for class edu.stanford.nlp.tagger.maxent.CountWrapper
-
- CountWrapper(String, int, int, int, int) - Constructor for class edu.stanford.nlp.tagger.maxent.CountWrapper
-
- CovertIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CovertIDAnnotation
-
- cp(File, File, boolean) - Static method in class edu.stanford.nlp.io.IOUtils
-
An implementation of cp, as close to the Unix command as possible.
- cp(File, File) - Static method in class edu.stanford.nlp.io.IOUtils
-
- cPOS - Variable in class edu.stanford.nlp.parser.nndep.Config
-
Use coarse POS instead of fine-grained POS if cPOS = true.
- cPosDef - Variable in class edu.stanford.nlp.optimization.SMDMinimizer
-
- create(Env) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRuleCreator
-
- create(Env, Map<String, Object>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRuleCreator
-
- create(Env, SequencePattern.PatternExpr, Expression) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CompositeExtractRuleCreator
-
- create(Env, Map<String, Object>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CompositeExtractRuleCreator
-
- create(Env, SequenceMatchRules.AnnotationExtractRule, List<TokenSequencePattern>) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.MultiTokenPatternExtractRuleCreator
-
- create(Env, Map<String, Object>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.MultiTokenPatternExtractRuleCreator
-
- create(Env, String, Expression) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.TextPatternExtractRuleCreator
-
- create(Env, Map<String, Object>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.TextPatternExtractRuleCreator
-
- create(Env, SequencePattern.PatternExpr, Expression) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.TokenPatternExtractRuleCreator
-
- create(Env, Map<String, Object>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.TokenPatternExtractRuleCreator
-
- create() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequenceEndPatternExpr
-
- create() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequenceStartPatternExpr
-
- create(Expressions.CompositeValue) - Static method in enum edu.stanford.nlp.time.SUTime.StandardTemporalType
-
- create() - Method in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
-
- create(String, Properties) - Method in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
-
- create(String) - Static method in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
-
- create(String, String, Properties) - Static method in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
-
- create(int, float, boolean, String, boolean) - Static method in class edu.stanford.nlp.util.CacheMap
-
Creates a new file-backed CacheMap or loads it in from the specified file
if it already exists.
- create(int, float, String, boolean) - Static method in class edu.stanford.nlp.util.CacheMap
-
- create(int, String, boolean) - Static method in class edu.stanford.nlp.util.CacheMap
-
- create(String, boolean) - Static method in class edu.stanford.nlp.util.CacheMap
-
- create() - Method in interface edu.stanford.nlp.util.Factory
-
Creates and returns a new instance of the given type.
- create(String) - Static method in class edu.stanford.nlp.util.MetaClass
-
Creates a new MetaClass (helper method)
- create(Class<?>) - Static method in class edu.stanford.nlp.util.MetaClass
-
Creates a new MetaClass (helper method)
- CREATE_REGEX_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- createAnnotationExtractor(Env, SequenceMatchRules.AnnotationExtractRule) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- createAssignmentRule(Env, AssignableExpression, Expression) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- createClassifier(double[]) - Method in interface edu.stanford.nlp.classify.ClassifierCreator
-
- createClassifier(double[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory.LinearClassifierCreator
-
- createCoreMap(CoreMap, String, int, int, CoreTokenFactory<T>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
- createDocument() - Static method in class edu.stanford.nlp.time.XMLUtils
-
- createElement(String) - Static method in class edu.stanford.nlp.time.XMLUtils
-
- createExtractionRule(Env, Map<String, Object>) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- createExtractionRule(Env, String, Object, Expression) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- createExtractor() - Method in class edu.stanford.nlp.time.GenericTimeExpressionPatterns
-
- createExtractor() - Static method in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
-
- createExtractor(String, Properties) - Static method in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
-
- createExtractor() - Method in interface edu.stanford.nlp.time.TimeExpressionPatterns
-
Creates a CoreMapExpressionExtractor that knows how
to extract time related expressions from text into CoreMaps
- createExtractorFromFile(Env, String) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
-
Creates an extractor using the specified environment, and reading the rules from the given filename.
- createExtractorFromFiles(Env, String...) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
-
Creates an extractor using the specified environment, and reading the rules from the given filenames.
- createExtractorFromFiles(Env, List<String>) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
-
Creates an extractor using the specified environment, and reading the rules from the given filenames.
- createExtractorFromString(Env, String) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
-
Creates an extractor using the specified environment, and reading the rules from the given string
- createFactory(Class<?>...) - Method in class edu.stanford.nlp.util.MetaClass
-
Creates a factory for producing instances of this class from a
constructor taking the given types as arguments
- createFactory(String...) - Method in class edu.stanford.nlp.util.MetaClass
-
Creates a factory for producing instances of this class from a
constructor taking the given types as arguments
- createFactory(Object...) - Method in class edu.stanford.nlp.util.MetaClass
-
Creates a factory for producing instances of this class from a
constructor taking objects of the types given
- createIndex() - Method in class edu.stanford.nlp.maxent.Experiments
-
- createInstance(Object...) - Method in class edu.stanford.nlp.util.MetaClass.ClassFactory
-
Creates an instance of the class produced in this factory
- createInstance(Object...) - Method in class edu.stanford.nlp.util.MetaClass
-
Create an instance of the class, inferring the type automatically, and
given an array of objects as constructor parameters NOTE: the resulting
instance will [unlike java] invoke the most narrow constructor rather
than the one which matches the signature passed to this function
- createInstance(Class<E>, Object...) - Method in class edu.stanford.nlp.util.MetaClass
-
Creates an instance of the class, forcing a cast to a certain type and
given an array of objects as constructor parameters NOTE: the resulting
instance will [unlike java] invoke the most narrow constructor rather
than the one which matches the signature passed to this function
- createLinearClassifier(double[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory.LinearClassifierCreator
-
- createMatchedExpression(Interval<Integer>, Interval<Integer>) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- createMultiTokenPatternRule(Env, SequenceMatchRules.AnnotationExtractRule, List<TokenSequencePattern>) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- createNERClassifierCombiner(String, Properties) - Static method in class edu.stanford.nlp.ie.NERClassifierCombiner
-
This factory method is used to create the NERClassifierCombiner used in NERCombinerAnnotator
(and, thence, in StanfordCoreNLP).
- createNERClassifierCombiner(String, Set<String>, Properties) - Static method in class edu.stanford.nlp.ie.NERClassifierCombiner
-
This factory method is used to create the NERClassifierCombiner used in NERCombinerAnnotator
(and, thence, in StanfordCoreNLP).
- createPattern(String) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
- createProbabilisticClassifier(double[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory.LinearClassifierCreator
-
- createProbabilisticClassifier(double[]) - Method in interface edu.stanford.nlp.classify.ProbabilisticClassifierCreator
-
- createRecord(Properties, String) - Static method in class edu.stanford.nlp.tagger.io.TaggedFileRecord
-
- createRecords(Properties, String) - Static method in class edu.stanford.nlp.tagger.io.TaggedFileRecord
-
- createRule(Env, Expressions.CompositeValue) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- CreateSubtreeNode - Class in edu.stanford.nlp.trees.tregex.tsurgeon
-
Given the start and end children of a particular node, takes all
children between start and end (including the endpoints) and
combines them in a new node with the given label.
- CreateSubtreeNode(TsurgeonPattern, AuxiliaryTree) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.CreateSubtreeNode
-
- CreateSubtreeNode(TsurgeonPattern, TsurgeonPattern, AuxiliaryTree) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.CreateSubtreeNode
-
- createTemporal(SUTime.StandardTemporalType, T) - Static method in class edu.stanford.nlp.time.SUTime
-
- createTemporal(SUTime.StandardTemporalType, String, T) - Static method in class edu.stanford.nlp.time.SUTime
-
- createTemporal(SUTime.StandardTemporalType, String, String, T) - Static method in class edu.stanford.nlp.time.SUTime
-
- createTemporal(int) - Method in enum edu.stanford.nlp.time.SUTime.StandardTemporalType
-
- createTemporal(int) - Method in enum edu.stanford.nlp.time.SUTime.TimeUnit
-
- createTextNode(String) - Static method in class edu.stanford.nlp.time.XMLUtils
-
- createTextPatternRule(Env, String, Expression) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- createTokenPatternRule(Env, SequencePattern.PatternExpr, Expression) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- createValue(String, T, String...) - Static method in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
- CRFBiasedClassifier<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf
-
CRFBiasedClassifier is used to adjust the precision-recall tradeoff
of any CRF model implemented using CRFClassifier.
- CRFBiasedClassifier(Properties) - Constructor for class edu.stanford.nlp.ie.crf.CRFBiasedClassifier
-
- CRFBiasedClassifier(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.CRFBiasedClassifier
-
- CRFClassifier<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf
-
Class for sequence classification using a Conditional Random Field model.
- CRFClassifier() - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifier
-
- CRFClassifier(Properties) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifier
-
- CRFClassifier(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifier
-
- CRFClassifier(CRFClassifier<IN>) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifier
-
Makes a copy of the crf classifier
- CRFClassifierEvaluator<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf
-
Evaluates a CRFClassifier on a set of data.
- CRFClassifierEvaluator(String, CRFClassifier<IN>, Collection<List<IN>>, List<Triple<int[][][], int[], double[][][]>>) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierEvaluator
-
- CRFClassifierEvaluator(String, CRFClassifier<IN>) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierEvaluator
-
- CRFClassifierFloat<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf
-
Subclass of CRFClassifier that performs dropout feature-noisying training
- CRFClassifierFloat() - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierFloat
-
- CRFClassifierFloat(Properties) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierFloat
-
- CRFClassifierFloat(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierFloat
-
- CRFClassifierNoisyLabel<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf
-
Subclass of CRFClassifier for modeling noisy label
- CRFClassifierNoisyLabel(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierNoisyLabel
-
- CRFClassifierNonlinear<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf
-
Subclass of
CRFClassifier
for implementing the nonlinear architecture in [Wang and Manning IJCNLP-2013 Effect of Nonlinear ...].
- CRFClassifierNonlinear() - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierNonlinear
-
- CRFClassifierNonlinear(Properties) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierNonlinear
-
- CRFClassifierNonlinear(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierNonlinear
-
- CRFClassifierWithDropout<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf
-
Subclass of CRFClassifier that performs dropout feature-noising training.
- CRFClassifierWithDropout(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierWithDropout
-
- CRFClassifierWithLOP<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf
-
Subclass of
CRFClassifier
for learning Logarithmic Opinion Pools.
- CRFClassifierWithLOP() - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierWithLOP
-
- CRFClassifierWithLOP(Properties) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierWithLOP
-
- CRFClassifierWithLOP(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierWithLOP
-
- CRFCliqueTree<E> - Class in edu.stanford.nlp.ie.crf
-
Builds a CliqueTree (an array of FactorTable) and does message passing
inference along it.
- CRFCliqueTree(FactorTable[], Index<E>, E) - Constructor for class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
Initialize a clique tree.
- CRFDatum<FEAT,LAB> - Class in edu.stanford.nlp.ie.crf
-
The representation of Datums used internally in CRFClassifier.
- CRFDatum(List<FEAT>, LAB, List<double[]>) - Constructor for class edu.stanford.nlp.ie.crf.CRFDatum
-
Constructs a new BasicDatum with the given features and label.
- CRFFeatureExporter<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf
-
Exports CRF features for use with other programs.
- CRFFeatureExporter(CRFClassifier<IN>) - Constructor for class edu.stanford.nlp.ie.crf.CRFFeatureExporter
-
- CRFLabel - Class in edu.stanford.nlp.ie.crf
-
- CRFLabel(int[]) - Constructor for class edu.stanford.nlp.ie.crf.CRFLabel
-
- CRFLogConditionalObjectiveFloatFunction - Class in edu.stanford.nlp.ie.crf
-
- CRFLogConditionalObjectiveFunction - Class in edu.stanford.nlp.ie.crf
-
- CRFLogConditionalObjectiveFunctionForLOP - Class in edu.stanford.nlp.ie.crf
-
- CRFLogConditionalObjectiveFunctionNoisyLabel - Class in edu.stanford.nlp.ie.crf
-
- CRFLogConditionalObjectiveFunctionWithDropout - Class in edu.stanford.nlp.ie.crf
-
- CRFNonLinearLogConditionalObjectiveFunction - Class in edu.stanford.nlp.ie.crf
-
- CRFNonLinearSecondOrderLogConditionalObjectiveFunction - Class in edu.stanford.nlp.ie.crf
-
- CRForder - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- crfSegmenterProp - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- crfToExamine - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- crfType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- CRFwindow - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- cross(Set<E>, Set<F>) - Static method in class edu.stanford.nlp.util.Sets
-
Returns the set cross product of s1 and s2, as Pair
s
- CROSS_OUT - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
-
- crossEntropy(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Note that this implementation doesn't normalize the "from" Counter.
- crosses(Constituent) - Method in class edu.stanford.nlp.trees.Constituent
-
Detects whether this constituent overlaps a constituent without
nesting, that is, whether they "cross".
- crosses(Collection<Constituent>) - Method in class edu.stanford.nlp.trees.Constituent
-
Detects whether this constituent overlaps any of a Collection of
Constituents without
nesting, that is, whether it "crosses" any of them.
- crossValidateSetC(GeneralDataset<L, F>, int, Scorer<L>, LineSearcher) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
This method will cross validate on the given data and number of folds
to find the optimal C.
- crossValidateSetSigma(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
- crossValidateSetSigma(GeneralDataset<L, F>, int) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
- crossValidateSetSigma(GeneralDataset<L, F>, int, Scorer<L>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
- crossValidateSetSigma(GeneralDataset<L, F>, int, LineSearcher) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
- crossValidateSetSigma(GeneralDataset<L, F>, int, Scorer<L>, LineSearcher) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
Sets the sigma parameter to a value that optimizes the cross-validation score given by scorer
.
- CrossValidator<L,F> - Class in edu.stanford.nlp.classify
-
This class is meant to simplify performing cross validation of
classifiers for hyper-parameters.
- CrossValidator(GeneralDataset<L, F>) - Constructor for class edu.stanford.nlp.classify.CrossValidator
-
- CrossValidator(GeneralDataset<L, F>, int) - Constructor for class edu.stanford.nlp.classify.CrossValidator
-
- CrossValidator.SavedState - Class in edu.stanford.nlp.classify
-
- ctb_pre_dict - Variable in class edu.stanford.nlp.tagger.maxent.CtbDict
-
- ctb_suf_dict - Variable in class edu.stanford.nlp.tagger.maxent.CtbDict
-
- CtbDict - Class in edu.stanford.nlp.tagger.maxent
-
- CTBErrorCorrectingTreeNormalizer - Class in edu.stanford.nlp.trees.international.pennchinese
-
This was originally written to correct a few errors Galen found in CTB3.
- CTBErrorCorrectingTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBErrorCorrectingTreeNormalizer
-
Constructor with all of the options of the other constructor false
- CTBErrorCorrectingTreeNormalizer(boolean, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBErrorCorrectingTreeNormalizer
-
Build a CTBErrorCorrectingTreeNormalizer.
- CTBErrorCorrectingTreeNormalizer.CTBErrorCorrectingTreeReaderFactory - Class in edu.stanford.nlp.trees.international.pennchinese
-
So you can create a TreeReaderFactory using this TreeNormalizer easily by reflection.
- CTBErrorCorrectingTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBErrorCorrectingTreeNormalizer.CTBErrorCorrectingTreeReaderFactory
-
- CTBTreeReaderFactory - Class in edu.stanford.nlp.trees.international.pennchinese
-
The CTBTreeReaderFactory
is a factory for creating a
TreeReader suitable for the Penn Chinese Treebank (CTB).
- CTBTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBTreeReaderFactory
-
- CTBTreeReaderFactory(TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBTreeReaderFactory
-
- CTBTreeReaderFactory(TreeNormalizer, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBTreeReaderFactory
-
- CTBTreeReaderFactory.NoEmptiesCTBTreeReaderFactory - Class in edu.stanford.nlp.trees.international.pennchinese
-
- CTBunkDict - Class in edu.stanford.nlp.tagger.maxent
-
- CUR_WORD_MIN_FEATURE_THRESH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- curElement - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
- curF1 - Variable in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- CURRENCY_SYMBOL_PATTERN - Static variable in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
-
- CURRENCY_WORD_PATTERN - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- CURRENCY_WORD_PATTERN - Static variable in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
-
- CURRENCY_WORDS_VALUES - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- current() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
The current Redwood configuration; this is used to make incremental changes
to an existing custom configuration.
- currentToken - Variable in exception edu.stanford.nlp.ling.tokensregex.parser.ParseException
-
This is the last token that has been consumed successfully.
- currentToken - Variable in exception edu.stanford.nlp.semgraph.semgrex.ParseException
-
This is the last token that has been consumed successfully.
- currentToken - Variable in exception edu.stanford.nlp.trees.tregex.ParseException
-
This is the last token that has been consumed successfully.
- currentToken - Variable in exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException
-
This is the last token that has been consumed successfully.
- CustomDateFormatExtractor(String, String) - Constructor for class edu.stanford.nlp.time.TimeFormatter.CustomDateFormatExtractor
-
- CUTOFFS - Static variable in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
-
Minimum support * KL to be included in output and as feature
- CUTOFFS - Static variable in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
-
Minimum support * KL to be included in output and as feature
- cwa() - Method in class edu.stanford.nlp.classify.PRCurve
-
confidence weighted accuracy assuming the scores are probabilities and using .5 as treshold
- cwaArray() - Method in class edu.stanford.nlp.classify.PRCurve
-
confidence weighted accuracy assuming the scores are probabilities and using .5 as treshold
- CYAN - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
-
- d - Variable in class edu.stanford.nlp.optimization.ScaledSGDMinimizer.Weights
-
- D2_LBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.D2_LBeginAnnotation
-
- D2_LEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.D2_LEndAnnotation
-
- D2_LMiddleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.D2_LMiddleAnnotation
-
- DAILY - Static variable in class edu.stanford.nlp.time.SUTime
-
- dampDDStepSizeWithAlignmentProb - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- dash() - Method in class edu.stanford.nlp.ie.NERFeatureFactory.FeatureCollector
-
Append '-' to the current feature name
- data - Variable in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
-
- data - Variable in class edu.stanford.nlp.classify.GeneralDataset
-
- data - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
Normally, this contains the data.
- data - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- data - Variable in class edu.stanford.nlp.maxent.Problem
-
This is the training data.
- dataDimension() - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- dataDimension() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- dataDimension() - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
Data dimension must return the size of the data used by the function.
- DataFilePaths - Class in edu.stanford.nlp.util
-
Simple utility class: reads the environment variable in
ENV_VARIABLE and provides a method that converts strings which
start with that environment variable to file paths.
- DataGeneric - Class in edu.stanford.nlp.maxent
-
A class representing a data item with an array of inputs X and a String classification Y.
- DataGeneric() - Constructor for class edu.stanford.nlp.maxent.DataGeneric
-
- dataIterable - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
Alternatively, the data may be available from an Iterable in not yet
indexed form.
- Dataset<L,F> - Class in edu.stanford.nlp.classify
-
- Dataset() - Constructor for class edu.stanford.nlp.classify.Dataset
-
- Dataset(int) - Constructor for class edu.stanford.nlp.classify.Dataset
-
- Dataset(int, Index<F>, Index<L>) - Constructor for class edu.stanford.nlp.classify.Dataset
-
- Dataset(Index<F>, Index<L>) - Constructor for class edu.stanford.nlp.classify.Dataset
-
- Dataset(Index<L>, int[], Index<F>, int[][]) - Constructor for class edu.stanford.nlp.classify.Dataset
-
Constructor that fully specifies a Dataset.
- Dataset(Index<L>, int[], Index<F>, int[][], int) - Constructor for class edu.stanford.nlp.classify.Dataset
-
Constructor that fully specifies a Dataset.
- Dataset - Class in edu.stanford.nlp.parser.nndep
-
Defines a list of training / testing examples in multi-class classification setting.
- dataWeights - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- DataWordTag - Class in edu.stanford.nlp.tagger.maxent
-
- DATE_PATTERN1 - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- DATE_PATTERN2 - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- DATE_PATTERN3 - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- DATE_PATTERN4 - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- DATE_PATTERN5 - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- DATE_TAG - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- DATE_WORDS - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- DATE_WORDS_VALUES - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- DateTreeTransformer - Class in edu.stanford.nlp.trees
-
Flattens the following two structures:
(NP (NP (NNP Month) (CD Day) )
(, ,)
(NP (CD Year) ))
becomes
(NP (NNP Month) (CD Day) (, ,) (CD Year) )
(NP (NP (NNP Month) )
(NP (CD Year) ))
becomes
(NP (NNP Month) (CD Year))
- DateTreeTransformer() - Constructor for class edu.stanford.nlp.trees.DateTreeTransformer
-
- Datum<L,F> - Interface in edu.stanford.nlp.ling
-
Interface for Objects which can be described by their features.
- DAWN - Static variable in class edu.stanford.nlp.time.SUTime
-
- DAY - Static variable in class edu.stanford.nlp.time.SUTime
-
- day - Variable in class edu.stanford.nlp.time.SUTime.IsoDate
-
Day of Month
- DAY_OF_HALF_MONTH - Static variable in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
- DayAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DayAnnotation
-
- daysPerMonth - Static variable in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
- DAYTIME - Static variable in class edu.stanford.nlp.time.SUTime
-
- DBG - Static variable in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- DBG - Static variable in class edu.stanford.nlp.util.logging.Redwood
-
- DBG - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
-
- dcTags - Variable in class edu.stanford.nlp.parser.lexparser.Options
-
"double count" tags rewrites as word in PCFG and Dep parser.
- deannotateTrees(List<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
-
- Debinarizer - Class in edu.stanford.nlp.parser.lexparser
-
Debinarizes a binary tree from the parser.
- Debinarizer(boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.Debinarizer
-
- Debinarizer(boolean, LabelFactory) - Constructor for class edu.stanford.nlp.parser.lexparser.Debinarizer
-
- DEBUG - Static variable in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
-
- DEBUG - Static variable in class edu.stanford.nlp.ie.EmpiricalNERPriorBIO
-
- DEBUG - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- debug(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
-
- debug(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- DEBUG2 - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- DEBUG3 - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- DEBUG_LEXICON - Static variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- DEBUG_LEXICON_SCORE - Static variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- debugf(String, Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
-
Log to the debug channel.
- debugLevel() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
Run Redwood with SLF4J if available, otherwise with stderr logging at the debug (everything) level.
- debugOutputFrequency - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
If larger than 0, the parser may choose to output debug information
every X seconds, X iterations, or some other similar metric
- DECADE - Static variable in class edu.stanford.nlp.time.SUTime
-
- DecadeOfCentury - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
-
- Decades - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
-
- DECEMBER - Static variable in class edu.stanford.nlp.time.SUTime
-
- decimate(Writer, Writer, Writer) - Method in class edu.stanford.nlp.trees.Treebank
-
Divide a Treebank into 3, by taking every 9th sentence for the dev
set and every 10th for the test set.
- decodeArray(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Decode an array encoded as a String.
- decodeMap(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Decode a map encoded as a string.
- decreaseKey(E) - Method in class edu.stanford.nlp.util.ArrayHeap
-
Changes the position of an element o in the heap based on a
change in the ordering of o.
- decreaseKey(E) - Method in interface edu.stanford.nlp.util.Heap
-
Raises the priority of an object in the heap.
- decreasePriority(E, double) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
Demotes a key in the queue, adding it if it wasn't there already.
- decrementBatch(int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
decrementBatch - This decrements the curElement variable by the amount batchSize.
- decrementCount(E, double) - Method in class edu.stanford.nlp.stats.AbstractCounter
-
- decrementCount(E) - Method in class edu.stanford.nlp.stats.AbstractCounter
-
- decrementCount(E, double) - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Decrements the count for this key by the given value.
- decrementCount(E) - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Decrements the count for this key by 1.0.
- decrementCount(E, double) - Method in interface edu.stanford.nlp.stats.Counter
-
Decrements the count for this key by the given value.
- decrementCount(E) - Method in interface edu.stanford.nlp.stats.Counter
-
Decrements the count for this key by 1.0.
- decrementCount(E, int) - Method in class edu.stanford.nlp.stats.IntCounter
-
Subtracts the given count from the current count for the given key.
- decrementCount(E) - Method in class edu.stanford.nlp.stats.IntCounter
-
Subtracts 1 from the count for the given key.
- decrementCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- decrementCount(K1, K2, double) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- decrementCount(K1, K2) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- decrementCount(K1, K2, double) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- decrementCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- decrementCount(K1, K2, double) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- decrementCount(K1, K2, int) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- decrementCounts(Collection<E>, int) - Method in class edu.stanford.nlp.stats.IntCounter
-
Subtracts the given count from the current counts for each of the given keys.
- decrementCounts(Collection<E>) - Method in class edu.stanford.nlp.stats.IntCounter
-
Subtracts 1 from the counts of each of the given keys.
- deepCopy(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- deepCopy() - Method in class edu.stanford.nlp.trees.Tree
-
Makes a deep copy of not only the Tree structure but of the labels as well.
- deepCopy(TreeFactory) - Method in class edu.stanford.nlp.trees.Tree
-
Makes a deep copy of not only the Tree structure but of the labels as well.
- deepCopy(TreeFactory, LabelFactory) - Method in class edu.stanford.nlp.trees.Tree
-
Makes a deep copy of not only the Tree structure but of the labels as well.
- deepCopy(MapFactory<E, BinaryHeapPriorityQueue.Entry<E>>) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
- deepCopy() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
- deepCopyFromGraphs(List<SemanticGraph>, List<Integer>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
Like makeFromGraphs, but it makes a deep copy of the graphs and
renumbers the index words.
- DEFAULT_AGGREGATOR - Static variable in class edu.stanford.nlp.pipeline.CoreMapAggregator
-
- DEFAULT_AGGREGATORS - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- DEFAULT_BACKGROUND_SYMBOL - Static variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- DEFAULT_BATCH_SIZE - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
When training using batches of trees, such as in the DVParser,
how many trees to use in one batch
- DEFAULT_BOUNDARY_FOLLOWERS_REGEX - Static variable in class edu.stanford.nlp.process.WordToSentenceProcessor
-
Pe = Close_Punctuation (close brackets), Pf = Final_Punctuation (close quotes);
add straight quotes, PTB escaped right brackets (-RRB-, etc.), greater than as close angle bracket,
and those forms in full width range.
- DEFAULT_BOUNDARY_REGEX - Static variable in class edu.stanford.nlp.process.WordToSentenceProcessor
-
Default pattern for sentence ending punctuation.
- DEFAULT_CLASSIFIER - Static variable in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Name of default serialized classifier resource to look for in a jar file.
- DEFAULT_CLASSIFIER - Static variable in class edu.stanford.nlp.ie.ner.CMMClassifier
-
Default place to look in Jar file for classifier.
- DEFAULT_COMPARATOR - Static variable in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
- DEFAULT_DCOREF_ANIMATE - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_DCOREF_COUNTRIES - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_DCOREF_DEMONYM - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_DCOREF_DICT1 - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_DCOREF_DICT2 - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_DCOREF_DICT3 - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_DCOREF_DICT4 - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_DCOREF_GENDER_NUMBER - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_DCOREF_INANIMATE - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_DCOREF_NE_SIGNATURES - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_DCOREF_SINGLETON_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_DCOREF_STATES - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_DCOREF_STATES_AND_PROVINCES - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_DELTA_MARGIN - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- DEFAULT_DEPENDENCY_PARSER_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_DISTRIBUTION_PATH - Static variable in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- DEFAULT_ENCODING - Static variable in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Use this as the default encoding for Readers and Writers of
Treebank data.
- DEFAULT_ENCODING - Static variable in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Use this as the default encoding for Readers and Writers of
Treebank data.
- DEFAULT_EXTRACT_RULE_CREATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- DEFAULT_EXTRACTOR_PRESENT - Static variable in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
-
- DEFAULT_FORMAT - Static variable in class edu.stanford.nlp.ling.CoreLabel
-
- DEFAULT_GENDER_FIRST_NAMES - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_GF_CHAR - Static variable in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
- DEFAULT_JAR_PATH - Static variable in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- DEFAULT_K_BEST - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
When training the DV parsing method, how many of the top K trees
to analyze from the underlying parser
- DEFAULT_KBP_CLASSIFIER - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_KBP_REGEXNER_CASED - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_KBP_REGEXNER_CASELESS - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_KBP_SEMGREX_DIR - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_KBP_TOKENSREGEX_DIR - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_KBP_TOKENSREGEX_NER_SETTINGS - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_LEARNING_RATE - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- DEFAULT_MERGE_ACTION - Static variable in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction
-
- DEFAULT_MODEL - Static variable in class edu.stanford.nlp.parser.nndep.DependencyParser
-
- DEFAULT_NATURALLI_AFFINITIES - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_NER_CONLL_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_NER_GAZETTE_MAPPING - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_NER_MUC_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_NER_THREECLASS_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_NFL_ENTITY_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_NFL_GAZETTEER - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_NFL_RELATION_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_NLP_GROUP_MODEL_PATH - Static variable in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- DEFAULT_NUMERIC_AGGREGATORS - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- DEFAULT_NUMERIC_TOKENS_AGGREGATOR - Static variable in class edu.stanford.nlp.pipeline.CoreMapAggregator
-
- DEFAULT_NUMERIC_TOKENS_AGGREGATORS - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- DEFAULT_OPENIE_CLAUSE_SEARCHER - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_OPTIONS - Static variable in class edu.stanford.nlp.international.french.process.FrenchTokenizer
-
- DEFAULT_OPTIONS - Static variable in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
-
- DEFAULT_PARSER_FILE - Static variable in class edu.stanford.nlp.trees.GrammaticalStructureConversionUtils
-
- DEFAULT_PARSER_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_PASS_DOWN_PROPERTIES - Static variable in class edu.stanford.nlp.ie.NERClassifierCombiner
-
- DEFAULT_PLAIN_TEXT_READER - Static variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- DEFAULT_POS_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_QN_ITERATIONS_PER_BATCH - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
When training the DV parsing method, how many iterations to loop
for one batch of trees
- DEFAULT_REG_L1 - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- DEFAULT_REGCOST - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
regularization constant
- DEFAULT_REGEXNER_RULES - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_REQUIREMENTS - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
A mapping from an annotator to a its default transitive dependencies.
- DEFAULT_SCALING_FOR_INIT - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- DEFAULT_SENTENCE_BOUNDARIES_TO_DISCARD - Static variable in class edu.stanford.nlp.process.WordToSentenceProcessor
-
- DEFAULT_STALLED_ITERATION_LIMIT - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- DEFAULT_SUP_RELATION_EX_RELATION_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_TIME_EXPRESSION_EXTRACTOR_CLASS - Static variable in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
-
- DEFAULT_TRAINING_ITERATIONS - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
When training a parsing method where the training has a (max)
number of iterations, how many iterations to loop
- DEFAULT_TREE_FILE_SUFFIX - Static variable in class edu.stanford.nlp.trees.Treebank
-
- DEFAULT_TRUECASE_DISAMBIGUATION_LIST - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_TRUECASE_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_TSURGEON_FILE - Static variable in class edu.stanford.nlp.trees.UniversalPOSMapper
-
- DEFAULT_UNK_WORD - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- DEFAULT_USE_GOOD_TURNING_UNKNOWN_WORD_MODEL - Static variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Parameters specific for creating a ChineseLexicon
- DEFAULT_WIKIDICT_TSV - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_WORD_VECTOR_FILE - Static variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
-
RS: file for Turian's word vectors
The default value is an example of size 25 word vectors on the nlp machines
- defaultCompiler - Static variable in class edu.stanford.nlp.trees.tregex.TregexPatternCompiler
-
- defaultCoreNLPFlags() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
- defaultCoreNLPFlags() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
- defaultCoreNLPFlags() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
When run inside StanfordCoreNLP, which flags should be used by default.
- defaultDelimitRegExIterator(Reader, String) - Static method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
-
- defaultDelimitRegExIteratorFactory(String) - Static method in class edu.stanford.nlp.objectbank.DelimitRegExIterator.DelimitRegExIteratorFactory
-
- defaultEncoding - Static variable in class edu.stanford.nlp.io.IOUtils
-
- defaultFile - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
Output to a file.
- defaultLeftRule - Variable in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
-
These are built automatically from categoriesToAvoid and used in a fairly
different fashion from defaultRule (above).
- DefaultLexicalMapper - Class in edu.stanford.nlp.international.arabic.pipeline
-
Applies a default set of lexical transformations that have been empirically validated
in various Arabic tasks.
- DefaultLexicalMapper() - Constructor for class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
-
- defaultNestedResultsAnnotationKey - Variable in class edu.stanford.nlp.ling.tokensregex.Env
-
Annotation key to use during composite phase for storing matched sequences and to match against.
- DefaultPaths - Class in edu.stanford.nlp.pipeline
-
Default model paths for StanfordCoreNLP
All these paths point to files distributed with the model jar file (stanford-corenlp-models-*.jar)
- defaultReaderAndWriter() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
This is the DocumentReaderAndWriter used for reading training and testing files.
- defaultResultAnnotationKey - Variable in class edu.stanford.nlp.ling.tokensregex.Env
-
List of keys indicating what fields should be annotated for the aggregated CoreMap.
- defaultReturnValue() - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Returns the default return value.
- defaultReturnValue() - Method in interface edu.stanford.nlp.stats.Counter
-
Returns the default return value.
- defaultReturnValue() - Method in class edu.stanford.nlp.stats.IntCounter
-
- defaultReturnValue(double) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- defaultReturnValue() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- defaultReturnValue(double) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- defaultReturnValue() - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- defaultReturnValue(double) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- defaultReturnValue(int) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- defaultReturnValue() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- defaultRightRule - Variable in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
-
- defaultRule - Variable in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
-
Default direction if no rule is found for category (the head/parent).
- defaults - Variable in class edu.stanford.nlp.ling.tokensregex.Env
-
- defaultStringMatchFlags - Variable in class edu.stanford.nlp.ling.tokensregex.Env
-
Default flags to use for string literal match
- defaultStringPatternFlags - Variable in class edu.stanford.nlp.ling.tokensregex.Env
-
Default flags to use for string regular expressions match
- defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
-
Return a default sentence for the language (for testing).
- defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Return a default sentence for the language (for testing)
- defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
Return a default sentence of the language (for testing).
- defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
-
- defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
-
- defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
-
Return a default sentence for the language (for testing)
- defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
-
- defaultTestSentence() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
Return a default sentence of the language (for testing).
- DefaultTeXHyphenData - Class in edu.stanford.nlp.ie.pascal
-
Default TeX hyphenation data, as borrowed from the TeX distribution.
- DefaultTeXHyphenData() - Constructor for class edu.stanford.nlp.ie.pascal.DefaultTeXHyphenData
-
- defaultTextAnnotationKey - Variable in class edu.stanford.nlp.ling.tokensregex.Env
-
Annotation key to use to getting text (default is CoreAnnotations.TextAnnotation.class)
- defaultTokensAggregators - Variable in class edu.stanford.nlp.ling.tokensregex.Env
-
How should the tokens be aggregated when collapsing a sequence of tokens into one CoreMap
- defaultTokensAnnotationKey - Variable in class edu.stanford.nlp.ling.tokensregex.Env
-
Annotation key to use to getting tokens (default is CoreAnnotations.TokensAnnotation.class)
- defaultTokensResultAnnotationKey - Variable in class edu.stanford.nlp.ling.tokensregex.Env
-
List of keys indicating the per-token annotations (default is null).
- defaultToPreserveSpacing(String) - Static method in enum edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter.OutputStyle
-
- defaultValue() - Method in class edu.stanford.nlp.util.PropertiesUtils.Property
-
- dehyphenateNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- delegate - Variable in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
-
- DELETE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
-
- DELETE_EXCEPT_BETWEEN_ASCII - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
-
- deleteBlankLines - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- deleteCost(Object) - Method in class edu.stanford.nlp.util.EditDistance
-
- deleteDirRecursively(File) - Static method in class edu.stanford.nlp.io.IOUtils
-
Given a filepath, delete all files in the directory recursively
- deleteDuplicateEdges() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
Deletes all duplicate edges.
- deleteDuplicateEdges() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Delete all duplicate edges.
- deleteOutofRange(Counter<E>, int, int) - Static method in class edu.stanford.nlp.stats.Counters
-
Delete 'top' and 'bottom' number of elements from the top and bottom
respectively
- deleteRecursively(File) - Static method in class edu.stanford.nlp.io.IOUtils
-
Delete this file; or, if it is a directory, delete this directory and all its contents.
- deleteSplitters - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- DelimitRegExIterator<T> - Class in edu.stanford.nlp.objectbank
-
An Iterator that reads the contents of a Reader, delimited by the specified
delimiter, and then subsequently processed by an Function to produce
Objects of type T.
- DelimitRegExIterator(Reader, String, Function<String, T>) - Constructor for class edu.stanford.nlp.objectbank.DelimitRegExIterator
-
- DelimitRegExIterator.DelimitRegExIteratorFactory<T> - Class in edu.stanford.nlp.objectbank
-
- DelimitRegExIteratorFactory(String, Function<String, T>) - Constructor for class edu.stanford.nlp.objectbank.DelimitRegExIterator.DelimitRegExIteratorFactory
-
- deltaCopy() - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
Creates a "delta copy" of this Map, where only the differences
from the original Map are represented.
- deltaDecode(byte[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- deltaDecode(byte[], int, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- deltaDecodeList(byte[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- deltaDecodeList(byte[], int, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- deltaEncode(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- deltaEncodeList(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- DeltaMap<K,V> - Class in edu.stanford.nlp.util
-
A Map which wraps an original Map, and only stores the changes (deltas) from
the original Map.
- DeltaMap(Map<K, V>, MapFactory<K, V>) - Constructor for class edu.stanford.nlp.util.DeltaMap
-
This is very cheap.
- DeltaMap(Map<K, V>) - Constructor for class edu.stanford.nlp.util.DeltaMap
-
- deltaMargin - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
How much to penalize the wrong trees for how different they are
from the gold tree when training
- demoteQuantMod - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
-
- dep() - Method in class edu.stanford.nlp.trees.TypedDependency
-
- Dependencies - Class in edu.stanford.nlp.trees
-
Utilities for Dependency objects.
- dependencies() - Method in class edu.stanford.nlp.trees.Tree
-
Return a Set of TaggedWord-TaggedWord dependencies, represented as
Dependency objects, for the Tree.
- dependencies(Predicate<Dependency<Label, Label, Object>>) - Method in class edu.stanford.nlp.trees.Tree
-
- dependencies(Predicate<Dependency<Label, Label, Object>>, boolean, boolean, boolean) - Method in class edu.stanford.nlp.trees.Tree
-
Return a set of TaggedWord-TaggedWord dependencies, represented as
Dependency objects, for the Tree.
- Dependencies.DependentPuncTagRejectFilter<G extends Label,D extends Label,N> - Class in edu.stanford.nlp.trees
-
- Dependencies.DependentPuncWordRejectFilter<G extends Label,D extends Label,N> - Class in edu.stanford.nlp.trees
-
- dependenciesToCoNLLXString(GrammaticalStructure, CoreMap) - Static method in class edu.stanford.nlp.trees.GrammaticalStructureConversionUtils
-
Calls dependenciesToCoNLLXString with the basic dependencies
from a grammatical structure.
- dependenciesToCoNLLXString(Collection<TypedDependency>, CoreMap) - Static method in class edu.stanford.nlp.trees.GrammaticalStructureConversionUtils
-
Returns a dependency tree in CoNNL-X format.
- dependenciesToString(GrammaticalStructure, Collection<TypedDependency>, Tree) - Method in interface edu.stanford.nlp.trees.DependencyPrinter
-
- dependenciesToString(GrammaticalStructure, Collection<TypedDependency>, Tree, boolean, boolean, boolean) - Static method in class edu.stanford.nlp.trees.GrammaticalStructureConversionUtils
-
- Dependency<G extends Label,D extends Label,N> - Interface in edu.stanford.nlp.trees
-
An individual dependency between a governor and a dependent.
- dependencyCounter - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
-
This is where all dependencies are stored (using full tag space).
- dependencyFactory() - Method in interface edu.stanford.nlp.trees.Dependency
-
Provide a factory for this kind of dependency
- DependencyFactory - Interface in edu.stanford.nlp.trees
-
A factory for dependencies of a certain type.
- dependencyFactory() - Method in class edu.stanford.nlp.trees.NamedDependency
-
- dependencyFactory() - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
-
- dependencyFactory() - Method in class edu.stanford.nlp.trees.UnnamedDependency
-
- DependencyGrammar - Interface in edu.stanford.nlp.parser.lexparser
-
An interface for DependencyGrammars.
- dependencyGrammarExtractor(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
- dependencyGrammarExtractor(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- dependencyGrammarExtractor(Options, Index<String>, Index<String>) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
- dependencyIndexComparator() - Static method in class edu.stanford.nlp.trees.Dependencies
-
A Comparator for Dependencies based on their dependent annotation.
- dependencyObjectify(Tree, HeadFinder, TreeTransformer, DependencyTyper<E>) - Static method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Returns the set of dependencies in a tree, according to some
DependencyTyper
.
- DependencyParser - Class in edu.stanford.nlp.parser.nndep
-
This class defines a transition-based dependency parser which makes
use of a classifier powered by a neural network.
- DependencyParser(Properties) - Constructor for class edu.stanford.nlp.parser.nndep.DependencyParser
-
- DependencyPrinter - Interface in edu.stanford.nlp.trees
-
- DependencyReader - Interface in edu.stanford.nlp.trees
-
- DependencyTreeTransformer - Class in edu.stanford.nlp.trees
-
Transforms an English structure parse tree in order to get the dependencies right:
-- put a ROOT node
-- remove NONE nodes
-- retain only NP-TMP, NP-ADV, UCP-TMP tags
The UCP- tags will later be turned into NP- anyway
(Note [cdm]: A lot of this overlaps other existing functionality in trees.
- DependencyTreeTransformer() - Constructor for class edu.stanford.nlp.trees.DependencyTreeTransformer
-
- DependencyTyper<T> - Interface in edu.stanford.nlp.trees
-
A generified interface for making some kind of dependency object
between a head and dependent.
- dependent() - Method in interface edu.stanford.nlp.trees.Dependency
-
Describes the dependent (argument/modifier) of
the dependency relation.
- DEPENDENT - Static variable in class edu.stanford.nlp.trees.GrammaticalRelation
-
The "dependent" grammatical relation, which is the inverse of "governor".
- dependent() - Method in class edu.stanford.nlp.trees.UnnamedDependency
-
- DependentPuncTagRejectFilter(Predicate<String>) - Constructor for class edu.stanford.nlp.trees.Dependencies.DependentPuncTagRejectFilter
-
- DependentPuncWordRejectFilter(Predicate<String>) - Constructor for class edu.stanford.nlp.trees.Dependencies.DependentPuncWordRejectFilter
-
- DependentsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DependentsAnnotation
-
- dependentText - Variable in class edu.stanford.nlp.trees.UnnamedDependency
-
- DepIndexComparator() - Constructor for class edu.stanford.nlp.trees.ud.CoNLLUUtils.DepIndexComparator
-
- depth - Variable in class edu.stanford.nlp.process.TransformXML.SAXInterface
-
How far down we are in the nested tags.
- depth() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
Returns the depth of the GeneralizedCounter (i.e., the dimension
of the distribution).
- depth() - Method in class edu.stanford.nlp.trees.Tree
-
Finds the depth of the tree.
- depth(Tree) - Method in class edu.stanford.nlp.trees.Tree
-
Finds the distance from this node to the specified node.
- depth - Variable in class edu.stanford.nlp.util.logging.Redwood.Record
-
- depWeight - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
Weighting on dependency log probs.
- derivative - Variable in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
-
- derivative - Variable in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
-
- derivativeAt(float[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
-
- derivativeAt(double[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
-
- derivativeAt(double[], int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
- derivativeAt(double[], double[], int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
- derivativeAt(float[]) - Method in interface edu.stanford.nlp.optimization.DiffFloatFunction
-
Returns the first-derivative vector at the input location.
- derivativeAt(double[]) - Method in interface edu.stanford.nlp.optimization.DiffFunction
-
Returns the first-derivative vector at the input location.
- derivativeNumerator - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
This is used to cache the numerator in batch methods.
- descendants(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns the set of descendants governed by this node in the graph.
- DESCENDING_COMPARATOR - Static variable in class edu.stanford.nlp.util.ScoredComparator
-
- describeDistsimLexicon() - Method in class edu.stanford.nlp.ie.NERFeatureFactory
-
- description - Variable in class edu.stanford.nlp.optimization.CmdEvaluator
-
- DescriptionPattern - Class in edu.stanford.nlp.trees.tregex
-
- DescriptionPattern(Relation, boolean, String, String, boolean, Function<String, String>, List<Pair<Integer, String>>, boolean, String) - Constructor for class edu.stanford.nlp.trees.tregex.DescriptionPattern
-
- DescriptionPattern(Relation, DescriptionPattern) - Constructor for class edu.stanford.nlp.trees.tregex.DescriptionPattern
-
- deserializeCounter(String) - Static method in class edu.stanford.nlp.stats.Counters
-
- deserializeStringCounter(String) - Static method in class edu.stanford.nlp.stats.Counters
-
Read a Counter from a serialized file
- determineHead(Tree) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
-
Determine which daughter of the current parse tree is the head.
- determineHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
-
Determine which daughter of the current parse tree is the head.
- determineHead(Tree) - Method in interface edu.stanford.nlp.trees.HeadFinder
-
Determine which daughter of the current parse tree is the head.
- determineHead(Tree, Tree) - Method in interface edu.stanford.nlp.trees.HeadFinder
-
Determine which daughter of the current parse tree is the head
given the parent of the tree.
- determineHead(Tree) - Method in class edu.stanford.nlp.trees.LeftHeadFinder
-
- determineHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.LeftHeadFinder
-
- determineNonTrivialHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
-
Called by determineHead and may be overridden in subclasses
if special treatment is necessary for particular categories.
- determineNonTrivialHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.international.negra.NegraHeadFinder
-
Called by determineHead and may be overridden in subclasses
if special treatment is necessary for particular categories.
- determineNonTrivialHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.SemanticHeadFinder
-
Determine which daughter of the current parse tree is the
head.
- determineNonTrivialHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.UniversalSemanticHeadFinder
-
Determine which daughter of the current parse tree is the
head.
- DETERMINER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "determiner" grammatical relation.
- DETERMINER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "determiner modifier" grammatical relation.
- DETERMINER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "determiner modifier" (det) grammatical relation.
- DETERMINER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "determiner" grammatical relation.
- determineRelFlags(CoreMap, TimeExpression) - Method in class edu.stanford.nlp.time.GenericTimeExpressionPatterns
-
- determineRelFlags(CoreMap, TimeExpression) - Method in interface edu.stanford.nlp.time.TimeExpressionPatterns
-
Determine how date/times should be resolved for the given temporal
expression and its context
- devFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- DFSA<T,S> - Class in edu.stanford.nlp.fsm
-
DFSA: A class for representing a deterministic finite state automaton
without epsilon transitions.
- DFSA(DFSAState<T, S>, double) - Constructor for class edu.stanford.nlp.fsm.DFSA
-
- DFSA(DFSAState<T, S>) - Constructor for class edu.stanford.nlp.fsm.DFSA
-
- DFSA(Object) - Constructor for class edu.stanford.nlp.fsm.DFSA
-
- dfsa() - Method in class edu.stanford.nlp.fsm.DFSAState
-
- DFSAState<T,S> - Class in edu.stanford.nlp.fsm
-
DFSAState represents the state of a deterministic finite state
automaton without epsilon transitions.
- DFSAState(S, DFSA<T, S>) - Constructor for class edu.stanford.nlp.fsm.DFSAState
-
- DFSAState(S, DFSA<T, S>, double) - Constructor for class edu.stanford.nlp.fsm.DFSAState
-
- DFSATransition<T,S> - Class in edu.stanford.nlp.fsm
-
DFSATransition represents a transition in a weighted finite state
transducer.
- DFSATransition(Object, DFSAState<T, S>, DFSAState<T, S>, T, Object, double) - Constructor for class edu.stanford.nlp.fsm.DFSATransition
-
- diag(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Returns diagonal elements of the given (square) matrix.
- diag - Variable in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
-
- diag - Variable in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
-
- dict - Variable in class edu.stanford.nlp.tagger.maxent.DictionaryExtractor
-
A pointer to the creating / owning tagger's dictionary.
- DictAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DictAnnotation
-
- dictionary - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- Dictionary - Class in edu.stanford.nlp.tagger.maxent
-
Maintains a map from words to tags and their counts.
- Dictionary() - Constructor for class edu.stanford.nlp.tagger.maxent.Dictionary
-
- dictionary2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- DictionaryExtractor - Class in edu.stanford.nlp.tagger.maxent
-
This class is the same as a regular Extractor, but keeps a pointer
to the tagger's dictionary as well.
- DictionaryExtractor() - Constructor for class edu.stanford.nlp.tagger.maxent.DictionaryExtractor
-
- diff(Counter<T>, Counter<T>) - Static method in class edu.stanford.nlp.stats.Counters
-
- diff(Collection<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Returns all objects in list1 that are not in list2.
- diff(Set<E>, Set<E>) - Static method in class edu.stanford.nlp.util.Sets
-
Returns the difference of sets s1 and s2.
- diffAsSet(Collection<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Returns all objects in list1 that are not in list2.
- difference(SUTime.Time, SUTime.Time) - Static method in class edu.stanford.nlp.time.SUTime.Time
-
- DiffFloatFunction - Interface in edu.stanford.nlp.optimization
-
An interface for once-differentiable double-valued functions over
double arrays.
- DiffFunction - Interface in edu.stanford.nlp.optimization
-
An interface for once-differentiable double-valued functions over
double arrays.
- DijkstraShortestPath - Class in edu.stanford.nlp.graph
-
- DIM - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
-
- DINNERTIME - Static variable in class edu.stanford.nlp.time.SUTime
-
- DIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "direct object" grammatical relation.
- DIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "direct object" grammatical relation.
- DIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "direct object" (dobj) grammatical relation.
- DIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "direct object" grammatical relation.
- DirectedMultiGraph<V,E> - Class in edu.stanford.nlp.graph
-
Simple graph library; this is directed for now.
- DirectedMultiGraph() - Constructor for class edu.stanford.nlp.graph.DirectedMultiGraph
-
- DirectedMultiGraph(MapFactory<V, Map<V, List<E>>>, MapFactory<V, List<E>>) - Constructor for class edu.stanford.nlp.graph.DirectedMultiGraph
-
- DirectedMultiGraph(DirectedMultiGraph<V, E>) - Constructor for class edu.stanford.nlp.graph.DirectedMultiGraph
-
Creates a copy of the given graph.
- directional - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- directional - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
-
Whether left and right is distinguished.
- directional - Variable in class edu.stanford.nlp.parser.lexparser.Options
-
Whether dependency grammar considers left/right direction.
- disable_tracing() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
Disable tracing.
- disambiguatePersonalPronoun(SpanishVerbStripper.StrippedVerb, int, String) - Static method in class edu.stanford.nlp.international.spanish.process.AnCoraPronounDisambiguator
-
Determine whether the given clitic pronoun is an indirect object
pronoun or a reflexive pronoun.
- discardFrags - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- discardMoreSpecificFields(Partial, DateTimeFieldType) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- discardMoreSpecificFields(Partial, DurationFieldType) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- discardMoreSpecificFields(Period, DurationFieldType, Chronology) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- DISCOURSE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "discourse" (discourse) grammatical relation.
- DISCOURSE_ELEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "discourse element" grammatical relation.
- DISCOURSE_ELEMENT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "discourse element" grammatical relation.
- discretizeCompute(DoubleUnaryOperator, int, double, double) - Method in class edu.stanford.nlp.optimization.GoldenSectionLineSearch
-
- DisjFilter(List<Predicate<T>>) - Constructor for class edu.stanford.nlp.util.Filters.DisjFilter
-
- DisjFilter(Predicate<T>...) - Constructor for class edu.stanford.nlp.util.Filters.DisjFilter
-
- DisjNodePattern(List<NodePattern<T>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.NodePattern.DisjNodePattern
-
- disjunctionWidth - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
returns a DiskTreebank appropriate to the treebank source
- diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
-
- diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Uses a DiskTreebank with a CHTBTokenizer and a
BobChrisTreeNormalizer.
- diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
Allows you to read in trees from the source you want.
- diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
-
- diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
-
- diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
-
- diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
-
- diskTreebank() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
returns a DiskTreebank appropriate to the treebank source
- DiskTreebank - Class in edu.stanford.nlp.trees
-
A DiskTreebank
is a Collection
of
Tree
s.
- DiskTreebank() - Constructor for class edu.stanford.nlp.trees.DiskTreebank
-
Create a new DiskTreebank.
- DiskTreebank(String) - Constructor for class edu.stanford.nlp.trees.DiskTreebank
-
Create a new treebank, set the encoding for file access.
- DiskTreebank(TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.DiskTreebank
-
Create a new DiskTreebank.
- DiskTreebank(TreeReaderFactory, String) - Constructor for class edu.stanford.nlp.trees.DiskTreebank
-
Create a new DiskTreebank.
- DiskTreebank(int) - Constructor for class edu.stanford.nlp.trees.DiskTreebank
-
Create a new Treebank.
- DiskTreebank(int, TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.DiskTreebank
-
Create a new Treebank.
- dispatchable(Object) - Static method in class edu.stanford.nlp.util.logging.PrettyLogger
-
Returns true if an object has special logic for pretty logging (e.g.
- display() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Display (write to stderr) language-specific settings.
- display() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
-
- display() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- display() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
- display() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
- display() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
-
- display() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
-
- display() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
-
- display() - Method in class edu.stanford.nlp.parser.lexparser.Options
-
- display() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
-
- display() - Method in class edu.stanford.nlp.parser.lexparser.TestOptions
-
- display() - Method in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- display() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
display language-specific settings
- display() - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
-
Output a description of the current annotation configuration to
standard error.
- display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.CatErrorEval
-
- display(boolean) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.RuleErrorEval
-
- display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.ScoreEval
-
- display(boolean) - Method in interface edu.stanford.nlp.parser.metrics.Eval
-
- display(boolean, PrintWriter) - Method in interface edu.stanford.nlp.parser.metrics.Eval
-
- distance(Span, Span) - Static method in class edu.stanford.nlp.ie.machinereading.structure.Span
-
Returns the smallest distance between two spans.
- distance - Variable in class edu.stanford.nlp.parser.lexparser.IntDependency
-
- distance - Variable in class edu.stanford.nlp.parser.lexparser.Options
-
Use distance bins in the dependency calculations
- distance(SUTime.Time, SUTime.Time) - Static method in class edu.stanford.nlp.time.SUTime.Time
-
- distanceBin(int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- distanceBin(int) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
-
- Distribution<E> - Class in edu.stanford.nlp.stats
-
Immutable class for representing normalized, smoothed discrete distributions
from
Counters
.
- distributionFromLogisticCounter(Counter<E>) - Static method in class edu.stanford.nlp.stats.Distribution
-
Maps a counter representing the linear weights of a multiclass
logistic regression model to the probabilities of each class.
- distributionWithDirichletPrior(Counter<E>, Distribution<E>, double) - Static method in class edu.stanford.nlp.stats.Distribution
-
Returns a Distribution that uses prior as a Dirichlet prior
weighted by weight.
- Distsim - Class in edu.stanford.nlp.tagger.maxent
-
Keeps track of a distributional similarity mapping, i.e., a map from
word to class.
- Distsim(String) - Constructor for class edu.stanford.nlp.tagger.maxent.Distsim
-
The Extractor argument extraction keeps ; together, so we use
that to delimit options.
- DistSimAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DistSimAnnotation
-
- distSimFileFormat - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
The format of the distsim file.
- distSimLexicon - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- distSimMaxBits - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
If this number is greater than 0, the distSim class is assume to be a bit
string and is truncated at this many characters.
- divide(DoubleAD, DoubleAD) - Static method in class edu.stanford.nlp.math.ADMath
-
- divide(double, double) - Static method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Given a numerator and denominator in log form, this calculates
the conditional model probabilities.
- DIVIDE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- divideBy(FactorTable) - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
- divideBy(FloatFactorTable) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
-
- divideBy(int) - Method in class edu.stanford.nlp.time.SUTime.Duration
-
- divideBy(int) - Method in class edu.stanford.nlp.time.SUTime.DurationRange
-
- divideBy(int) - Method in class edu.stanford.nlp.time.SUTime.DurationWithFields
-
- divideBy(int) - Method in class edu.stanford.nlp.time.SUTime.DurationWithMillis
-
- divideConst(DoubleAD, double) - Static method in class edu.stanford.nlp.math.ADMath
-
- divideDurationBy(int) - Method in class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
-
- divideInPlace(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Divides the values in this array by b.
- divideInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Divides every non-zero count in target by the corresponding value in the
denominator Counter.
- divideInPlace(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Divides each value in target by the given divisor, in place.
- divideInPlace(TwoDimensionalCounter<A, B>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
- division(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns c1 divided by c2.
- divisionNonNaN(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns c1 divided by c2.
- DO_TAGS - Static variable in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
-
- doAdaptation - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- DoAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DoAnnotation
-
- docData - Variable in class edu.stanford.nlp.pipeline.CoNLLUReader.CoNLLUDocument
-
doc metadata
- DocDateAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocDateAnnotation
-
- docID() - Method in class edu.stanford.nlp.ling.CoreLabel
- docID() - Method in interface edu.stanford.nlp.ling.HasIndex
-
- docID() - Method in class edu.stanford.nlp.ling.IndexedWord
-
- DocIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocIDAnnotation
-
- DocSourceTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocSourceTypeAnnotation
-
- docText - Variable in class edu.stanford.nlp.pipeline.CoNLLUReader.CoNLLUDocument
-
full doc text
- DocTitleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocTitleAnnotation
-
- DocTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocTypeAnnotation
-
- Document<L,F,T> - Interface in edu.stanford.nlp.ling
-
Represents a text document as a list of Words with a String title.
- DOCUMENT_LINE - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
-
- documentExpectedCounts(double[][], int[][][], double[][][], CRFCliqueTree<String>) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
Compute the expected counts for this document, which we will need to compute the derivative.
- DocumentPreprocessor - Class in edu.stanford.nlp.process
-
Produces a list of sentences from either a plain text or XML document.
- DocumentPreprocessor(Reader) - Constructor for class edu.stanford.nlp.process.DocumentPreprocessor
-
Constructs a preprocessor from an existing input stream.
- DocumentPreprocessor(Reader, DocumentPreprocessor.DocType) - Constructor for class edu.stanford.nlp.process.DocumentPreprocessor
-
- DocumentPreprocessor(String) - Constructor for class edu.stanford.nlp.process.DocumentPreprocessor
-
- DocumentPreprocessor(String, DocumentPreprocessor.DocType) - Constructor for class edu.stanford.nlp.process.DocumentPreprocessor
-
- DocumentPreprocessor(String, DocumentPreprocessor.DocType, String) - Constructor for class edu.stanford.nlp.process.DocumentPreprocessor
-
Constructs a preprocessor from a file at a path, which can be either
a filesystem location, a classpath entry, or a URL.
- DocumentPreprocessor.DocType - Enum in edu.stanford.nlp.process
-
- documentReader - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- DocumentReaderAndWriter<IN extends CoreMap> - Interface in edu.stanford.nlp.sequences
-
This interface is used for reading data and writing output into and out of sequence
classifiers.
- documentsToDataAndLabels(Collection<List<IN>>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Convert an ObjectBank to arrays of data features and labels.
- documentsToDataAndLabelsList(Collection<List<IN>>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Convert an ObjectBank to corresponding collection of data features and
labels.
- documentToDataAndLabels(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Convert a document List into arrays storing the data features and labels.
- documentToDataAndLabels(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierNonlinear
-
- documentToString(Document) - Static method in class edu.stanford.nlp.time.XMLUtils
-
- doDep - Variable in class edu.stanford.nlp.parser.lexparser.Options
-
Do a dependency parse of the sentence.
- doEvaluation(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
-
- doEvaluation(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleCachedExpression
-
- doFE - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- doFeatureDiscovery - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- doGibbs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- doing(String) - Method in class edu.stanford.nlp.util.Timing
-
Print the start of timing message to stderr and start the timer.
- domain() - Method in class edu.stanford.nlp.maxent.Features
-
- domain - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- DomainAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DomainAnnotation
-
- domainDimension() - Method in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
-
- domainDimension() - Method in class edu.stanford.nlp.classify.GeneralizedExpectationObjectiveFunction
-
- domainDimension() - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- domainDimension() - Method in class edu.stanford.nlp.classify.SemiSupervisedLogConditionalObjectiveFunction
-
- domainDimension() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
-
- domainDimension - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- domainDimension() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- domainDimension() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
-
- domainDimension() - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
-
- domainDimension() - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
-
- domainDimension() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
-
- domainDimension() - Method in interface edu.stanford.nlp.optimization.FloatFunction
-
Returns the number of dimensions in the function's domain
- domainDimension() - Method in interface edu.stanford.nlp.optimization.Function
-
Returns the number of dimensions in the function's domain
- domainDimension() - Method in class edu.stanford.nlp.optimization.ResultStoringFloatMonitor
-
- domainDimension() - Method in class edu.stanford.nlp.optimization.ResultStoringMonitor
-
- dominates(Tree) - Method in class edu.stanford.nlp.trees.Tree
-
Returns true if this
dominates the Tree passed in
as an argument.
- dominatesC - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Verbal distance -- mark whether symbol dominates a conjunction (CC)
- dominatesI - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Verbal distance -- mark whether symbol dominates a preposition (IN)
- dominatesV - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Verbal distance -- mark whether symbol dominates a verb (V*).
- dominatesV - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Verbal distance -- mark whether symbol dominates a verb (V*, MD).
- dominationPath(Tree) - Method in class edu.stanford.nlp.trees.Tree
-
Returns the path of nodes leading down to a dominated node,
including this
and the dominated node itself.
- done() - Method in class edu.stanford.nlp.util.Timing
-
Finish the line from doing() with the end of the timing done message
and elapsed time in x.y seconds.
- done(String) - Method in class edu.stanford.nlp.util.Timing
-
Give a line saying that something is " done".
- done(StringBuilder) - Method in class edu.stanford.nlp.util.Timing
-
- done(Redwood.RedwoodChannels, StringBuilder) - Method in class edu.stanford.nlp.util.Timing
-
This method allows you to show the results of timing according to another class' logger.
- done(Redwood.RedwoodChannels, String) - Method in class edu.stanford.nlp.util.Timing
-
- DONT_CAPITALIZE_TIMEX - Static variable in class edu.stanford.nlp.process.Americanize
-
- dontExtendTaggy - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- doPCFG - Variable in class edu.stanford.nlp.parser.lexparser.Options
-
Do a PCFG parse of the sentence.
- doRecovery - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
If true, then failure of the PCFG factor to parse a sentence
will trigger parse recovery mode.
- doRef - Variable in enum edu.stanford.nlp.trees.GrammaticalStructure.Extras
-
Add "ref" edges
- doSubj - Variable in enum edu.stanford.nlp.trees.GrammaticalStructure.Extras
-
Add extra subject edges
- dotProduct(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Assumes that both arrays have same length.
- dotProduct(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns the product of c1 and c2.
- dotProduct(Counter<E>, double[], Index<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns the product of Counter c and double[] a, using Index idx to map
entries in C onto a.
- dotProductInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Multiplies every count in target by the corresponding value in the term
Counter.
- DoubleAD - Class in edu.stanford.nlp.math
-
The class DoubleAD
was created to extend the
current calculations of gradient to automatically include a calculation of the
Hessian vector product with another vector v
.
- DoubleAD() - Constructor for class edu.stanford.nlp.math.DoubleAD
-
- DoubleAD(double, double) - Constructor for class edu.stanford.nlp.math.DoubleAD
-
- doubleArrayToFloatArray(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- doubleArrayToFloatArray(double[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- doubleArrToByteArr(double[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- doubleArrToByteArr(double[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- doubleArrToByteArr(byte[], int, double[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- doubleMax() - Method in class edu.stanford.nlp.stats.IntCounter
-
- doubleValue() - Method in class edu.stanford.nlp.math.DoubleAD
-
- doubleValue() - Method in class edu.stanford.nlp.util.MutableDouble
-
- doubleValue() - Method in class edu.stanford.nlp.util.MutableInteger
-
- doWordEmbeddingGradUpdate - Variable in class edu.stanford.nlp.parser.nndep.Config
-
Update word embeddings when performing gradient descent.
- drawSample() - Method in class edu.stanford.nlp.stats.Distribution
-
Exactly the same as sampleFrom(), needed for the Sampler interface.
- drawSample(Random) - Method in class edu.stanford.nlp.stats.Distribution
-
A method to draw a sample, providing an own random number generator.
- drawSample(Random) - Method in interface edu.stanford.nlp.stats.ProbabilityDistribution
-
- drawSample() - Method in interface edu.stanford.nlp.stats.Sampler
-
- drop(T[], int) - Static method in class edu.stanford.nlp.util.Iterables
-
Returns a view of the given data, ignoring the first toDrop elements.
- drop(Iterable<T>, int) - Static method in class edu.stanford.nlp.util.Iterables
-
Returns a view of the given data, ignoring the first toDrop elements.
- dropFeaturesBelowThreshold(double) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- dropGaz - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- DROPOUT_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- dropoutApprox - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- dropoutRate - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- dropoutScale - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- dropProb - Variable in class edu.stanford.nlp.parser.nndep.Config
-
Dropout probability.
- dualDecompAlignment - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- dualDecompDebug - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- dualDecompInitialStepSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- dualDecompInitialStepSizeAlignment - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- dualDecompMaxItr - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- dualDecompNotBIO - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- dump() - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Print all features in the classifier and the weight that they assign
to each class.
- dump(PrintWriter) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Print all features in the classifier and the weight that they assign
to each class.
- dump - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- dump() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- dump(PrintStream) - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- dump() - Method in class edu.stanford.nlp.util.ArrayHeap
-
- dumpFeatures(Collection<List<IN>>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Does nothing by default.
- dumpFeatures(Collection<List<IN>>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- dumpMemory() - Method in class edu.stanford.nlp.optimization.GoldenSectionLineSearch
-
dump the <x,y>
pairs it computed found
- dumpSimWordAvgStats() - Method in class edu.stanford.nlp.parser.lexparser.ChineseSimWordAvgDepGrammar
-
- dumpSizes() - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
- dumpSorted() - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Print all features in the classifier and the weight that they assign
to each class.
- dumpStats() - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
-
- duplicateKeepNodes(SemanticGraph) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
This creates a new graph based off the given, but uses the existing nodes objects.
- DUR_RESOLVE_FROM_AS_REF - Static variable in class edu.stanford.nlp.time.SUTime
-
- DUR_RESOLVE_TO_AS_REF - Static variable in class edu.stanford.nlp.time.SUTime
-
- Duration() - Constructor for class edu.stanford.nlp.time.SUTime.Duration
-
- Duration(SUTime.Duration) - Constructor for class edu.stanford.nlp.time.SUTime.Duration
-
- duration - Variable in enum edu.stanford.nlp.time.SUTime.TimeUnit
-
- duration - Variable in class edu.stanford.nlp.time.Timex.Range
-
- DURATION_NONE - Static variable in class edu.stanford.nlp.time.SUTime
-
- DURATION_UNKNOWN - Static variable in class edu.stanford.nlp.time.SUTime
-
- DurationRange(SUTime.DurationRange, SUTime.Duration, SUTime.Duration) - Constructor for class edu.stanford.nlp.time.SUTime.DurationRange
-
- DurationRange(SUTime.Duration, SUTime.Duration) - Constructor for class edu.stanford.nlp.time.SUTime.DurationRange
-
- DurationWithFields() - Constructor for class edu.stanford.nlp.time.SUTime.DurationWithFields
-
- DurationWithFields(ReadablePeriod) - Constructor for class edu.stanford.nlp.time.SUTime.DurationWithFields
-
- DurationWithFields(SUTime.Duration, ReadablePeriod) - Constructor for class edu.stanford.nlp.time.SUTime.DurationWithFields
-
- DurationWithMillis(long) - Constructor for class edu.stanford.nlp.time.SUTime.DurationWithMillis
-
- DurationWithMillis(ReadableDuration) - Constructor for class edu.stanford.nlp.time.SUTime.DurationWithMillis
-
- DurationWithMillis(SUTime.Duration, ReadableDuration) - Constructor for class edu.stanford.nlp.time.SUTime.DurationWithMillis
-
- DUSK - Static variable in class edu.stanford.nlp.time.SUTime
-
- dvKBest - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- DVP_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "dvp marker" grammatical relation.
- DVPM_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "dvp modifier" grammatical relation.
- DVPM_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "dvp modifier" grammatical relation.
- dvSimplifiedModel - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Make the dv model as simple as possible
- DybroFrenchHeadFinder - Class in edu.stanford.nlp.trees.international.french
-
Implements the head finding rules from Dybro-Johansen master's thesis.
- DybroFrenchHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.french.DybroFrenchHeadFinder
-
- DybroFrenchHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.french.DybroFrenchHeadFinder
-
- dynamicCounterWithDirichletPrior(Counter<E>, Distribution<E>, double) - Static method in class edu.stanford.nlp.stats.Distribution
-
Like normalizedCounterWithDirichletPrior except probabilities are
computed dynamically from the counter and prior instead of all at once up front.
- E - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- eachClique(int, int, Consumer<Clique>) - Static method in class edu.stanford.nlp.sequences.FeatureFactory
-
Process cliques requiring exactly "left" lookbehind and exactly "right" lookahead.
- edgeCount() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- edgeIterable() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- edgeIterable() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- edgeIterator() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- edgeListSorted() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns an ordered list of edges in the graph.
- EditDistance - Class in edu.stanford.nlp.util
-
Find the (Levenshtein) edit distance between two Strings or Character
arrays.
- EditDistance() - Constructor for class edu.stanford.nlp.util.EditDistance
-
- EditDistance(boolean) - Constructor for class edu.stanford.nlp.util.EditDistance
-
- editDistance(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Computes the Levenshtein (edit) distance of the two given Strings.
- edu.stanford.nlp.classify - package edu.stanford.nlp.classify
-
The classify package provides facilities for training classifiers.
- edu.stanford.nlp.fsm - package edu.stanford.nlp.fsm
-
Contains two implementations of finite state machines.
- edu.stanford.nlp.graph - package edu.stanford.nlp.graph
-
- edu.stanford.nlp.ie - package edu.stanford.nlp.ie
-
This package implements various subpackages for information extraction.
- edu.stanford.nlp.ie.crf - package edu.stanford.nlp.ie.crf
-
A package for doing inference with conditional random fields.
- edu.stanford.nlp.ie.demo - package edu.stanford.nlp.ie.demo
-
- edu.stanford.nlp.ie.machinereading.structure - package edu.stanford.nlp.ie.machinereading.structure
-
- edu.stanford.nlp.ie.ner - package edu.stanford.nlp.ie.ner
-
This package contains the older version of the Stanford NER tagger that uses a
Conditional Markov Model (a.k.a., Maximum Entropy Markov Model or MEMM)
designed for Named Entity Recognition, and various support code.
- edu.stanford.nlp.ie.pascal - package edu.stanford.nlp.ie.pascal
-
- edu.stanford.nlp.ie.regexp - package edu.stanford.nlp.ie.regexp
-
- edu.stanford.nlp.ie.util - package edu.stanford.nlp.ie.util
-
- edu.stanford.nlp.international - package edu.stanford.nlp.international
-
- edu.stanford.nlp.international.arabic - package edu.stanford.nlp.international.arabic
-
- edu.stanford.nlp.international.arabic.pipeline - package edu.stanford.nlp.international.arabic.pipeline
-
- edu.stanford.nlp.international.arabic.process - package edu.stanford.nlp.international.arabic.process
-
- edu.stanford.nlp.international.french - package edu.stanford.nlp.international.french
-
- edu.stanford.nlp.international.french.process - package edu.stanford.nlp.international.french.process
-
- edu.stanford.nlp.international.morph - package edu.stanford.nlp.international.morph
-
- edu.stanford.nlp.international.spanish - package edu.stanford.nlp.international.spanish
-
- edu.stanford.nlp.international.spanish.process - package edu.stanford.nlp.international.spanish.process
-
- edu.stanford.nlp.io - package edu.stanford.nlp.io
-
A few classes that augment the java.io
package in useful
ways for our applications.
- edu.stanford.nlp.ling - package edu.stanford.nlp.ling
-
This package contains the different data structures used by
JavaNLP throughout the years for dealing with linguistic objects in general,
of which words are the most generally used.
- edu.stanford.nlp.ling.tokensregex - package edu.stanford.nlp.ling.tokensregex
-
This package contains a library, TokensRegex, for matching regular expressions over
tokens.
- edu.stanford.nlp.ling.tokensregex.parser - package edu.stanford.nlp.ling.tokensregex.parser
-
- edu.stanford.nlp.ling.tokensregex.types - package edu.stanford.nlp.ling.tokensregex.types
-
This package contains various types and interfaces used when
parsing TokensRegex patterns and rules.
- edu.stanford.nlp.math - package edu.stanford.nlp.math
-
Classes for Simple Math Functionality, such as Min, Max, WeightedAverage,
Scientific Notation, etc.
- edu.stanford.nlp.maxent - package edu.stanford.nlp.maxent
-
- edu.stanford.nlp.maxent.iis - package edu.stanford.nlp.maxent.iis
-
- edu.stanford.nlp.objectbank - package edu.stanford.nlp.objectbank
-
The ObjectBank class is designed to make it easy to change the format/source
of data read in by other classes and to standardize how data is read in javaNLP
classes.
- edu.stanford.nlp.optimization - package edu.stanford.nlp.optimization
-
Numerical optimization, including a conjugate gradient implementation.
- edu.stanford.nlp.parser - package edu.stanford.nlp.parser
-
This package contains a few simple interfaces for the parsers in the various
subpackages.
- edu.stanford.nlp.parser.lexparser - package edu.stanford.nlp.parser.lexparser
-
This package contains implementations of three probabilistic parsers for
natural language text.
- edu.stanford.nlp.parser.metrics - package edu.stanford.nlp.parser.metrics
-
- edu.stanford.nlp.parser.nndep - package edu.stanford.nlp.parser.nndep
-
- edu.stanford.nlp.parser.tools - package edu.stanford.nlp.parser.tools
-
- edu.stanford.nlp.pipeline - package edu.stanford.nlp.pipeline
-
Linguistic Annotation Pipeline
- edu.stanford.nlp.process - package edu.stanford.nlp.process
-
Contains classes for processing documents.
- edu.stanford.nlp.semgraph - package edu.stanford.nlp.semgraph
-
This package provides a representation of dependency graphs (normally the
collapsed Stanford Dependencies representation) as a graph (backed by
the jgrapht graph library.
- edu.stanford.nlp.semgraph.semgrex - package edu.stanford.nlp.semgraph.semgrex
-
A package for dependency graph (i.e.
- edu.stanford.nlp.sequences - package edu.stanford.nlp.sequences
-
This package contains classes that support sequence modeling and
inference (CMMs and CRFs).
- edu.stanford.nlp.stats - package edu.stanford.nlp.stats
-
A set of tools for collecting, representing, and inferring with statistics.
- edu.stanford.nlp.tagger.common - package edu.stanford.nlp.tagger.common
-
- edu.stanford.nlp.tagger.io - package edu.stanford.nlp.tagger.io
-
- edu.stanford.nlp.tagger.maxent - package edu.stanford.nlp.tagger.maxent
-
- edu.stanford.nlp.time - package edu.stanford.nlp.time
-
- edu.stanford.nlp.trees - package edu.stanford.nlp.trees
-
A package for (NLP) trees, sentences, and similar things.
- edu.stanford.nlp.trees.international.arabic - package edu.stanford.nlp.trees.international.arabic
-
- edu.stanford.nlp.trees.international.french - package edu.stanford.nlp.trees.international.french
-
- edu.stanford.nlp.trees.international.hebrew - package edu.stanford.nlp.trees.international.hebrew
-
- edu.stanford.nlp.trees.international.negra - package edu.stanford.nlp.trees.international.negra
-
Classes, and JFlex source file, for reading and tokenization of NEGRA
corpus export-format files.
- edu.stanford.nlp.trees.international.pennchinese - package edu.stanford.nlp.trees.international.pennchinese
-
Classes, and JFlex source file, for reading, tokenization and manipulation of Penn Chinese Treebank (CTB)
export-format files.
- edu.stanford.nlp.trees.international.spanish - package edu.stanford.nlp.trees.international.spanish
-
- edu.stanford.nlp.trees.treebank - package edu.stanford.nlp.trees.treebank
-
- edu.stanford.nlp.trees.tregex - package edu.stanford.nlp.trees.tregex
-
A package for tree-pattern expressions and matching these expressions
to Tree instances.
- edu.stanford.nlp.trees.tregex.tsurgeon - package edu.stanford.nlp.trees.tregex.tsurgeon
-
A package for performing
transformations of trees to be used in conjunction with
edu.stanford.nlp.trees.tregex
.
- edu.stanford.nlp.trees.ud - package edu.stanford.nlp.trees.ud
-
- edu.stanford.nlp.util - package edu.stanford.nlp.util
-
A collection of useful general-purpose utility classes.
- edu.stanford.nlp.util.concurrent - package edu.stanford.nlp.util.concurrent
-
A collection of useful thread-safe general-purpose utility classes.
- edu.stanford.nlp.util.logging - package edu.stanford.nlp.util.logging
-
- Ehat - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- elements() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- elements() - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
Returns the original sequence the match was performed on.
- elements - Variable in class edu.stanford.nlp.util.Beam
-
- elementsToBeTransformed - Variable in class edu.stanford.nlp.process.TransformXML.SAXInterface
-
- elems() - Method in class edu.stanford.nlp.util.IntTuple
-
- embeddingSize - Variable in class edu.stanford.nlp.parser.nndep.Config
-
Dimensionality of the word embeddings used
- embeddingVectors - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- embeddingWords - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- empiricalCounts(double[][]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- empiricalCountsForADoc(double[][], int) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- EmpiricalNERPriorBIO<IN extends CoreMap> - Class in edu.stanford.nlp.ie
-
- EmpiricalNERPriorBIO(String, Index<String>, Index<String>, List<IN>, Pair<double[][], double[][]>, SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.EmpiricalNERPriorBIO
-
- EMPTY - Static variable in class edu.stanford.nlp.ling.Word
-
Word representation of an empty.
- empty() - Method in class edu.stanford.nlp.semgraph.semgrex.NodeAttributes
-
- EMPTY - Static variable in class edu.stanford.nlp.util.logging.LogRecordHandler
-
An empty list to serve as the FALSE token for filters
- empty() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
An empty Redwood configuration.
- empty2D() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
-
- empty2D() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- empty2D() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
-
- empty2D() - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
-
- EMPTY_EXTRACTOR_ARRAY - Static variable in class edu.stanford.nlp.tagger.maxent.Extractor
-
- EMPTY_ISO_DATE_PARTIAL - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
-
- EMPTY_ISO_PARTIAL - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
-
- EMPTY_ISO_TIME_PARTIAL - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
-
- EMPTY_ISO_WEEK_PARTIAL - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
-
- EMPTY_LEAF - Static variable in class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReader
-
- EMPTY_LEAF_VALUE - Static variable in class edu.stanford.nlp.trees.international.spanish.SpanishTreeNormalizer
-
- EMPTY_STRING_ARRAY - Static variable in class edu.stanford.nlp.util.StringUtils
-
- EMPTY_TREE_ARRAY - Static variable in class edu.stanford.nlp.trees.Tree
-
A leaf node should have a zero-length array for its
children.
- emptyFilter - Variable in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
-
- EmptyFilter() - Constructor for class edu.stanford.nlp.trees.BobChrisTreeNormalizer.EmptyFilter
-
- emptyFull2D() - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
-
- emptyFull2D() - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
-
- enable_tracing() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
Enable tracing.
- enc - Variable in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
-
The encoding for file input.
- encodedInputStreamReader(InputStream, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Create a Reader with an explicit encoding around an InputStream.
- encodedOutputStreamPrintWriter(OutputStream, String, boolean) - Static method in class edu.stanford.nlp.io.IOUtils
-
Create a Reader with an explicit encoding around an InputStream.
- encodedOutputStreamWriter(OutputStream, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Create a Reader with an explicit encoding around an InputStream.
- ENCODING - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
-
- ENCODING - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- encoding - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- ENCODING - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- encoding() - Method in class edu.stanford.nlp.trees.Treebank
-
Returns the encoding in use for treebank file bytestream access.
- ENCODING_PROPERTY - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- EncodingFileReader - Class in edu.stanford.nlp.io
-
This is a convenience class which works almost exactly like
FileReader
but allows for the specification of input encoding.
- EncodingFileReader(String) - Constructor for class edu.stanford.nlp.io.EncodingFileReader
-
Creates a new EncodingFileReader, given the name of the
file to read from.
- EncodingFileReader(String, String) - Constructor for class edu.stanford.nlp.io.EncodingFileReader
-
Creates a new EncodingFileReader, given the name of the
file to read from and an encoding
- EncodingFileReader(File) - Constructor for class edu.stanford.nlp.io.EncodingFileReader
-
Creates a new EncodingFileReader, given the File
to read from, and using default of utf-8.
- EncodingFileReader(File, String) - Constructor for class edu.stanford.nlp.io.EncodingFileReader
-
Creates a new FileReader, given the File
to read from and encoding.
- EncodingFileReader(FileDescriptor) - Constructor for class edu.stanford.nlp.io.EncodingFileReader
-
Creates a new FileReader, given the
FileDescriptor to read from.
- EncodingPrintWriter - Class in edu.stanford.nlp.io
-
A convenience IO class with print and println statements to
standard output and standard error allowing encoding in an
arbitrary character set.
- EncodingPrintWriter.err - Class in edu.stanford.nlp.io
-
Print methods wrapped around System.err
- EncodingPrintWriter.out - Class in edu.stanford.nlp.io
-
Print methods wrapped around System.out
- end() - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
-
- end() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- end(int) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- end(String) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- end(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
- end(String) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
Returns the index of the next element after the subsequence captured by the given group
during this match.
- end() - Method in class edu.stanford.nlp.time.SUTime.Range
-
- end - Variable in class edu.stanford.nlp.time.Timex.Range
-
- end() - Method in class edu.stanford.nlp.trees.Constituent
-
access end node.
- end() - Method in class edu.stanford.nlp.trees.SimpleConstituent
-
access end node.
- end(String) - Method in class edu.stanford.nlp.util.Timing
-
Print the timing done message with elapsed time in x.y seconds.
- endDocument() - Method in class edu.stanford.nlp.process.TransformXML.SAXInterface
-
- endDoing() - Static method in class edu.stanford.nlp.util.Timing
-
Finish the line from startDoing with the end of the timing done message
and elapsed time in x.y seconds.
- endDoing(String) - Static method in class edu.stanford.nlp.util.Timing
-
Finish the line from startDoing with the end of the timing done message
and elapsed time in x.y seconds.
- endElement(String, String, String) - Method in class edu.stanford.nlp.process.TransformXML.SAXInterface
-
- endFold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- EndIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EndIndexAnnotation
-
- endPoint() - Method in class edu.stanford.nlp.time.Timex
-
- ENDPOINTS_COMPARATOR - Static variable in interface edu.stanford.nlp.util.HasInterval
-
- endPosition() - Method in class edu.stanford.nlp.ling.CoreLabel
-
Return the ending char offset of the label (or -1 if none).
- endPosition() - Method in interface edu.stanford.nlp.ling.HasOffset
-
Return the ending char offset of the label (or -1 if none).
- endPosition() - Method in class edu.stanford.nlp.ling.IndexedWord
-
- endPosition() - Method in class edu.stanford.nlp.ling.StringLabel
-
- endThreads(String) - Static method in class edu.stanford.nlp.util.logging.Redwood
-
Signal that all threads have run to completion, and the multithreaded
environment is over.
- endThreads(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- endTime() - Method in class edu.stanford.nlp.time.SUTime.Range
-
- endTime() - Static method in class edu.stanford.nlp.util.Timing
-
Return elapsed time on (static) timer (without stopping timer).
- endTime(String, PrintStream) - Static method in class edu.stanford.nlp.util.Timing
-
Print elapsed time on (static) timer (without stopping timer).
- endTime(String) - Static method in class edu.stanford.nlp.util.Timing
-
Print elapsed time on (static) timer to
System.err
(without stopping timer).
- endTrack(String) - Static method in class edu.stanford.nlp.util.logging.Redwood
-
End a "track;" that is, return to logging at one level shallower.
- endTrack() - Static method in class edu.stanford.nlp.util.logging.Redwood
-
A utility method for closing calls to the anonymous startTrack() call.
- endTrack(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- endTrack() - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- endTrackIfOpen(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- endTracksTo(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- endTracksUntil(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- ENGLISH_PROPERTIES - Static variable in class edu.stanford.nlp.pipeline.LanguageInfo
-
- EnglishGrammaticalRelations - Class in edu.stanford.nlp.trees
-
- EnglishGrammaticalStructure - Class in edu.stanford.nlp.trees
-
A GrammaticalStructure for English.
- EnglishGrammaticalStructure(Tree) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructure
-
Construct a new EnglishGrammaticalStructure
from an existing parse
tree.
- EnglishGrammaticalStructure(Tree, Predicate<String>) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructure
-
This gets used by GrammaticalStructureFactory (by reflection).
- EnglishGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructure
-
Construct a new GrammaticalStructure
from an existing parse
tree.
- EnglishGrammaticalStructure(List<TypedDependency>, TreeGraphNode) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructure
-
Used for postprocessing CoNLL X dependencies
- EnglishGrammaticalStructure.FromDependenciesFactory - Class in edu.stanford.nlp.trees
-
- EnglishGrammaticalStructureFactory - Class in edu.stanford.nlp.trees
-
- EnglishGrammaticalStructureFactory() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructureFactory
-
- EnglishGrammaticalStructureFactory(Predicate<String>) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructureFactory
-
- EnglishGrammaticalStructureFactory(Predicate<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructureFactory
-
- EnglishPatterns - Class in edu.stanford.nlp.trees
-
This class contains some English String or Tregex regular expression
patterns.
- EnglishSubcategoryStripper() - Constructor for class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishSubcategoryStripper
-
- EnglishTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser
-
Parser parameters for the Penn English Treebank (WSJ, Brown, Switchboard).
- EnglishTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
- EnglishTreebankParserParams.EnglishSubcategoryStripper - Class in edu.stanford.nlp.parser.lexparser
-
- EnglishTreebankParserParams.EnglishTest - Class in edu.stanford.nlp.parser.lexparser
-
- EnglishTreebankParserParams.EnglishTrain - Class in edu.stanford.nlp.parser.lexparser
-
- enhanceConjuncts - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
-
- ENHANCED_OPTIONS - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
-
- ENHANCED_PLUS_PLUS_OPTIONS - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
-
- EnhancedDependenciesAnnotation() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.EnhancedDependenciesAnnotation
-
- EnhancedPlusPlusDependenciesAnnotation() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.EnhancedPlusPlusDependenciesAnnotation
-
- EnhancementOptions - Class in edu.stanford.nlp.trees.ud
-
Options for enhancing a basic dependency tree.
- EnhancementOptions(boolean, boolean, boolean, boolean, boolean, boolean, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.ud.EnhancementOptions
-
Constructor.
- EnhancementOptions(EnhancementOptions) - Constructor for class edu.stanford.nlp.trees.ud.EnhancementOptions
-
- enhanceOnlyNmods - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
-
- enhancePrepositionalModifiers - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
-
- ensure(double[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
-
- ensureDir(File) - Static method in class edu.stanford.nlp.io.IOUtils
-
Given a filepath, makes sure a directory exists there.
- ensureKeys(Counter<E>, Collection<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
ensures that counter t has all keys in keys.
- ensureRealValues() - Method in class edu.stanford.nlp.classify.RVFDataset
-
Checks if the dataset has any unbounded values.
- ensureSize() - Method in class edu.stanford.nlp.classify.Dataset
-
- ensureSize() - Method in class edu.stanford.nlp.classify.WeightedDataset
-
- EntityCachingAbstractSequencePriorBIO<IN extends CoreMap> - Class in edu.stanford.nlp.ie
-
This class keeps track of all labeled entities and updates the
its list whenever the label at a point gets changed.
- EntityCachingAbstractSequencePriorBIO(String, Index<String>, Index<String>, List<IN>) - Constructor for class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
-
- EntityClassAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityClassAnnotation
-
- entityMatrix - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- entityMatrixCh - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- entityMatrixEn - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- EntityMentionIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityMentionIndexAnnotation
-
- EntityMentionToCorefMentionMappingAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityMentionToCorefMentionMappingAnnotation
-
- EntityRuleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityRuleAnnotation
-
- entitySubclassification - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- entitySubclassify(List<TOK>, Class<? extends TypesafeMap.Key<String>>, String, String, boolean) - Static method in class edu.stanford.nlp.sequences.IOBUtils
-
This can be used to map from any IOB-style (i.e., "I-PERS" style labels)
or just categories representation to any other.
- EntityTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityTypeAnnotation
-
- entropy(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- entropy(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Calculates the entropy of the given counter (in bits).
- entrySet() - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Returns a view of the entries in this counter.
- entrySet() - Method in interface edu.stanford.nlp.stats.Counter
-
Returns a view of the entries in this counter.
- entrySet() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
Returns the set of entries in the GeneralizedCounter.
- entrySet() - Method in class edu.stanford.nlp.stats.IntCounter
-
Returns a view of the doubles in this map.
- entrySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- entrySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- entrySet() - Method in class edu.stanford.nlp.util.ArrayMap
-
- entrySet() - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
Each element of the Set is a Map.Entry object, where getKey() returns the
key of the mapping, and getValue() returns the Collection mapped to by the
key.
- entrySet() - Method in class edu.stanford.nlp.util.DeltaMap
-
This is cheap.
- entrySet() - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
- Env - Class in edu.stanford.nlp.ling.tokensregex
-
Holds environment variables to be used for compiling string into a pattern.
- Env(SequencePattern.Parser) - Constructor for class edu.stanford.nlp.ling.tokensregex.Env
-
- Env - Class in edu.stanford.nlp.semgraph.semgrex
-
- Env() - Constructor for class edu.stanford.nlp.semgraph.semgrex.Env
-
- Env(Map<String, Object>) - Constructor for class edu.stanford.nlp.semgraph.semgrex.Env
-
- env - Variable in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
- Env.Binder - Interface in edu.stanford.nlp.ling.tokensregex
-
Interface for performing custom binding of values to the environment
- EnvLookup - Class in edu.stanford.nlp.ling.tokensregex
-
Provides lookup functions using an Env
- EOL - Static variable in exception edu.stanford.nlp.ling.tokensregex.parser.ParseException
-
The end of line string for this machine.
- EOL - Static variable in exception edu.stanford.nlp.semgraph.semgrex.ParseException
-
The end of line string for this machine.
- EOL - Static variable in exception edu.stanford.nlp.trees.tregex.ParseException
-
The end of line string for this machine.
- EOL - Static variable in exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException
-
The end of line string for this machine.
- eolChar - Static variable in class edu.stanford.nlp.io.IOUtils
-
- eolString - Variable in class edu.stanford.nlp.process.TokenizerAdapter
-
- EOS_TAG - Static variable in class edu.stanford.nlp.tagger.common.Tagger
-
- EOS_WORD - Static variable in class edu.stanford.nlp.tagger.common.Tagger
-
- eps - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Only used in the IIS optimization routines.
- epsilon - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
-
- epsilon - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- epsilon - Variable in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
-
- epsilon - Variable in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
-
- epsilon - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- equalContents(int[][], int[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
Tests two int[][] arrays for having equal contents.
- equalContents(int[], int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
tests two int[] arrays for having equal contents
- equals(Object) - Method in class edu.stanford.nlp.fsm.DFSAState
-
- equals(Object) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- equals(Object) - Method in class edu.stanford.nlp.ie.crf.CRFDatum
-
Returns whether the given Datum contains the same features as this Datum.
- equals(Object) - Method in class edu.stanford.nlp.ie.crf.CRFLabel
-
- equals(Object) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
-
- equals(Object) - Method in class edu.stanford.nlp.ie.util.RelationTriple
- equals(Object) - Method in class edu.stanford.nlp.ling.BasicDatum
-
Returns whether the given Datum contains the same features as this Datum.
- equals(Object) - Method in class edu.stanford.nlp.ling.IndexedWord
-
This .equals is dependent only on docID, sentenceIndex, and index.
- equals(Object) - Method in class edu.stanford.nlp.ling.MultiTokenTag
-
- equals(Object) - Method in class edu.stanford.nlp.ling.MultiTokenTag.Tag
-
- equals(Object) - Method in class edu.stanford.nlp.ling.RVFDatum
-
Returns whether the given RVFDatum contains the same features with the same
values as this RVFDatum.
- equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.FunctionCallExpression
-
- equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.MethodCallExpression
-
- equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleCachedExpression
-
- equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleExpression
-
- equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleValue
-
- equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.TypedExpression
-
- equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.VarAssignmentExpression
-
- equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.WrappedExpression
-
- equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Tags
-
- equals(Object) - Method in class edu.stanford.nlp.ling.ValueLabel
-
Equality for ValueLabel
s is defined in the first instance
as equality of their String
value()
.
- equals(Object) - Method in class edu.stanford.nlp.ling.WordLemmaTag
-
Equality is satisfied only if the compared object is a WordLemmaTag
and has String-equal word, lemma and tag fields.
- equals(Object) - Method in class edu.stanford.nlp.ling.WordTag
-
A WordTag is equal only to another WordTag with the same word and tag values.
- equals(Object) - Method in class edu.stanford.nlp.math.DoubleAD
-
- equals(double, double) - Method in class edu.stanford.nlp.math.DoubleAD
-
- equals(double, double, double) - Method in class edu.stanford.nlp.math.DoubleAD
-
- equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.IntDependency
-
- equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- equals(Object) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- equals(Object) - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
-
- equals(Object) - Method in class edu.stanford.nlp.semgraph.semgrex.Alignment
-
Defined on map only.
- equals(Object) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
- equals(Object) - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Equality is defined over all Counter implementations.
- equals(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Default equality comparison for two counters potentially backed by
alternative implementations.
- equals(Counter<E>, Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Equality comparison between two counters, allowing for a tolerance fudge factor.
- equals(Object) - Method in class edu.stanford.nlp.stats.Distribution
-
- equals(Distribution<E>) - Method in class edu.stanford.nlp.stats.Distribution
-
- equals(Object) - Method in class edu.stanford.nlp.stats.IntCounter
-
- equals(Object) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- equals(Object) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- equals(Object) - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClass
-
- equals(Object) - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
-
Equality is tested only on the word, and not the various counts
that are maintained.
- equals(Object) - Method in class edu.stanford.nlp.tagger.maxent.FeatureKey
-
- equals(Object) - Method in class edu.stanford.nlp.tagger.maxent.History
-
- equals(Object) - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
-
- equals(Object) - Method in class edu.stanford.nlp.time.Timex
-
- equals(Object) - Method in class edu.stanford.nlp.trees.Constituent
-
Compare with another Object for equality.
- equals(Object) - Method in class edu.stanford.nlp.trees.GrammaticalRelation
-
Grammatical relations are equal with other grammatical relations if they
have the same shortName and specific (if present).
- equals(Object) - Method in class edu.stanford.nlp.trees.NamedDependency
-
- equals(Object) - Method in class edu.stanford.nlp.trees.Tree
-
Implements equality for Tree's.
- equals(Object) - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Implements equality for TreeGraphNode
s.
- equals(Object) - Method in class edu.stanford.nlp.trees.TypedDependency
-
- equals(Object) - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
-
- equals(Object) - Method in class edu.stanford.nlp.trees.UnnamedDependency
-
- equals(Object) - Method in class edu.stanford.nlp.util.ArrayCoreMap
-
Two CoreMaps are equal iff all keys and values are .equal.
- equals(Object) - Method in class edu.stanford.nlp.util.ArrayMap
-
- equals(Object) - Method in class edu.stanford.nlp.util.ArrayStringFilter
-
- equals(double[][], double[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
Tests two double[][] arrays for having equal contents.
- equals(boolean[][], boolean[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
Tests two boolean[][] arrays for having equal contents.
- equals(Object) - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
- equals(Object) - Method in class edu.stanford.nlp.util.HashableCoreMap
-
If the provided object is a HashableCoreMap, equality is based only
upon the values of the immutable hashkeys; otherwise, defaults to
behavior of the superclass's equals method.
- equals(Object) - Method in class edu.stanford.nlp.util.HashIndex
-
- equals(Object) - Method in class edu.stanford.nlp.util.Interval
-
- equals(Object) - Method in class edu.stanford.nlp.util.IntPair
-
- equals(Object) - Method in class edu.stanford.nlp.util.IntTuple
-
- equals(Redwood.Record, Redwood.Record) - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ApproximateRepeatSemantics
-
- equals(Redwood.Record, Redwood.Record) - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ExactRepeatSemantics
-
- equals(Redwood.Record, Redwood.Record) - Method in interface edu.stanford.nlp.util.logging.RepeatedRecordHandler.RepeatSemantics
-
- equals(Object) - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
- equals(Object) - Method in class edu.stanford.nlp.util.MetaClass.ClassFactory
-
- equals(Object) - Method in class edu.stanford.nlp.util.MetaClass
-
- equals(Object) - Method in class edu.stanford.nlp.util.MutableDouble
-
Compares this object to the specified object.
- equals(Object) - Method in class edu.stanford.nlp.util.MutableInteger
-
Compares this object to the specified object.
- equals(Object) - Method in class edu.stanford.nlp.util.Pair
-
- equals(Object) - Method in class edu.stanford.nlp.util.Quadruple
-
- equals(Object) - Method in class edu.stanford.nlp.util.RegexStringFilter
-
- equals(Object) - Method in class edu.stanford.nlp.util.ScoredComparator
-
- equals(Object) - Method in class edu.stanford.nlp.util.Triple
-
- equals(Object) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- EQUALS_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- equalsIgnoreName(Object) - Method in interface edu.stanford.nlp.trees.Dependency
-
Are two dependencies equal if you ignore the dependency name.
- equalsIgnoreName(Object) - Method in class edu.stanford.nlp.trees.UnnamedDependency
-
- EqualsNodePattern(T) - Constructor for class edu.stanford.nlp.ling.tokensregex.NodePattern.EqualsNodePattern
-
- equivalenceClass(IN) - Method in interface edu.stanford.nlp.stats.EquivalenceClasser
-
- EquivalenceClasser<IN,OUT> - Interface in edu.stanford.nlp.stats
-
A strategy-type interface for specifying a function from
Object
s
to their equivalence classes.
- era - Variable in class edu.stanford.nlp.time.SUTime.IsoDate
-
Era: BC is era 0, AD is era 1, Unknown is -1
- ERA_AD - Static variable in class edu.stanford.nlp.time.SUTime
-
- ERA_BC - Static variable in class edu.stanford.nlp.time.SUTime
-
- ERA_UNKNOWN - Static variable in class edu.stanford.nlp.time.SUTime
-
- ErasureUtils - Class in edu.stanford.nlp.util
-
Class to gather unsafe operations into one place.
- err() - Static method in class edu.stanford.nlp.util.logging.Redwood.ConsoleHandler
-
- ERR - Static variable in class edu.stanford.nlp.util.logging.Redwood
-
- err(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
-
- ERR - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
-
- err(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- errf(String, Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
-
Log to the error channel.
- error(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
-
- error(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- errorLevel() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
Run Redwood with SLF4J if available, otherwise with stderr logging at the error only level.
- errorMatrix - Variable in class edu.stanford.nlp.ie.crf.CRFClassifierNoisyLabel
-
- errorMatrix - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionNoisyLabel
-
- errorMatrix - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- escape(String) - Static method in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
-
Escapes tokens from flat strings that are reserved for usage in the ATB.
- escapeAttributeXML(String) - Static method in class edu.stanford.nlp.util.XMLUtils
-
Returns a String in which some XML special characters have been
escaped.
- escapeChar(String, char) - Static method in class edu.stanford.nlp.process.LexerUtils
-
This quotes a character with a backslash, but doesn't do it
if the character is already preceded by a backslash.
- escapeElementXML(String) - Static method in class edu.stanford.nlp.util.XMLUtils
-
Returns a String in which some the XML special characters have been
escaped: just the ones that need escaping in an element content.
- escapeJsonString(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
- escaper - Variable in class edu.stanford.nlp.parser.nndep.Config
-
Defines a word-escaper to use when parsing raw sentences.
- escapeString(String, char[], char) - Static method in class edu.stanford.nlp.util.StringUtils
-
- escapeTextAroundXMLTags(String) - Static method in class edu.stanford.nlp.util.XMLUtils
-
- escapeXML(String) - Static method in class edu.stanford.nlp.util.XMLUtils
-
Returns a String in which all the XML special characters have been
escaped.
- estimateInitial - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- ETC - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "etc" grammatical relation.
- ETC - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "etc" grammatical relation.
- ETC_PAT - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- ETC_PAT_target - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- Eval - Interface in edu.stanford.nlp.parser.metrics
-
An interface which can be implemented by anything that evaluates
one tree at a time and then prints out a summary when done.
- evalb - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
Write EvalB-readable output files.
- evalBIgnoredPunctuationTagAcceptFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns a filter that accepts a String that is a punctuation
tag that should be ignored by EVALB-style evaluation,
and rejects everything else.
- evalBIgnoredPunctuationTagAcceptFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns a filter that accepts a String that is a punctuation
tag that should be ignored by EVALB-style evaluation,
and rejects everything else.
- evalBIgnoredPunctuationTagRejectFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns a filter that accepts everything except a String that is a
punctuation tag that should be ignored by EVALB-style evaluation.
- evalBIgnoredPunctuationTagRejectFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns a filter that accepts everything except a String that is a
punctuation tag that should be ignored by EVALB-style evaluation.
- evalBIgnoredPunctuationTags() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns a String array of punctuation tags that EVALB-style evaluation
should ignore for this treebank/language.
- evalBIgnoredPunctuationTags() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
-
Returns a String array of punctuation tags that EVALB-style evaluation
should ignore for this treebank/language.
- evalBIgnoredPunctuationTags() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
-
- evalBIgnoredPunctuationTags() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
Returns a String array of punctuation tags that EVALB-style evaluation
should ignore for this treebank/language.
- evalBIgnoredPunctuationTags() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
-
Returns a String array of punctuation tags that EVALB-style evaluation
should ignore for this treebank/language.
- evalBIgnoredPunctuationTags() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns a String array of punctuation tags that EVALB-style evaluation
should ignore for this treebank/language.
- evalCmd - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- evalGF - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
If true, then evaluation is over grammatical functions as well as the labels
If false, then grammatical functions are stripped for evaluation.
- evalPCFGkBest - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
If using a kBest eval, use this many trees.
- evalPerIter - Variable in class edu.stanford.nlp.parser.nndep.Config
-
During training, run a full UAS evaluation after every
evalPerIter
iterations.
- evals - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
What evaluations to report and how to report them
(using LexicalizedParser).
- evaluate(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierEvaluator
-
- evaluate(Env) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AssignmentRule
-
- evaluate(Env, Object...) - Method in interface edu.stanford.nlp.ling.tokensregex.types.Expression
-
Evaluates the expression using the specified environment and
arguments.
- evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.ConditionalExpression
-
- evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.FunctionCallExpression
-
- evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.IfExpression
-
- evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.ListExpression
-
- evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.MethodCallExpression
-
- evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexMatchResultVarExpression
-
- evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexMatchVarExpression
-
- evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleCachedExpression
-
- evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleValue
-
- evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.VarAssignmentExpression
-
- evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.VarExpression
-
- evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.WrappedExpression
-
- evaluate(double[]) - Method in class edu.stanford.nlp.optimization.CmdEvaluator
-
- evaluate(double[]) - Method in interface edu.stanford.nlp.optimization.Evaluator
-
- evaluate(double[]) - Method in class edu.stanford.nlp.optimization.MemoryEvaluator
-
- evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.CatErrorEval
-
- evaluate(Tree, Tree) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- evaluate(Tree, Tree, PrintWriter, double) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.RuleErrorEval
-
- evaluate(Tree, Tree) - Method in interface edu.stanford.nlp.parser.metrics.Eval
-
- evaluate(Tree, Tree, PrintWriter) - Method in interface edu.stanford.nlp.parser.metrics.Eval
-
- evaluate(Tree, Tree, PrintWriter, double) - Method in interface edu.stanford.nlp.parser.metrics.Eval
-
- evaluate(List<CoreMap>, List<DependencyTree>, List<DependencyTree>) - Method in class edu.stanford.nlp.parser.nndep.ParsingSystem
-
Evaluate performance on a list of sentences, predicted parses,
and gold parses.
- evaluate(Tree, TregexMatcher) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonMatcher
-
Evaluates the surgery pattern against a
Tree
and a
TregexMatcher
that has been successfully matched against the tree.
- evaluateAccuracy(GeneralDataset<L, F>) - Method in interface edu.stanford.nlp.classify.Classifier
-
Evaluate the accuracy of this classifier on the given dataset.
- evaluateBackground - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
When scoring, count the background symbol stats too.
- evaluateCmd(String[]) - Method in class edu.stanford.nlp.optimization.CmdEvaluator
-
- evaluateCoverage(Collection<Tree>, Set<String>, Set<String>, Set<IntTaggedWord>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Evaluates how many words (= terminals) in a collection of trees are
covered by the lexicon.
- evaluateIters - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- evaluatePrecisionAndRecall(GeneralDataset<L, F>, L) - Method in interface edu.stanford.nlp.classify.Classifier
-
Evaluates the precision and recall of this classifier against a dataset, and the target label.
- evaluateTrain - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- Evaluator - Interface in edu.stanford.nlp.optimization
-
- EVENING - Static variable in class edu.stanford.nlp.time.SUTime
-
- EVENING_TWILIGHT - Static variable in class edu.stanford.nlp.time.SUTime
-
- EXACT - Static variable in class edu.stanford.nlp.util.logging.RepeatedRecordHandler
-
- ExactBestSequenceFinder - Class in edu.stanford.nlp.sequences
-
A class capable of computing the best sequence given a SequenceModel.
- ExactBestSequenceFinder() - Constructor for class edu.stanford.nlp.sequences.ExactBestSequenceFinder
-
- exactBinomial(int, int, double) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Find a one tailed exact binomial test probability.
- ExactRepeatSemantics() - Constructor for class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ExactRepeatSemantics
-
- examineCRF(ClassifierCombiner, String, SeqClassifierFlags, String, String, DocumentReaderAndWriter<CoreLabel>) - Static method in class edu.stanford.nlp.ie.ClassifierCombiner
-
- examineIntersection(Set<String>, Set<String>) - Static method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- ExceptionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ExceptionAnnotation
-
- ExciseNode - Class in edu.stanford.nlp.trees.tregex.tsurgeon
-
Excises all nodes from the top to the bottom, and puts all the children of bottom node in where the top was.
- ExciseNode(TsurgeonPattern, TsurgeonPattern) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.ExciseNode
-
Top should evaluate to a node that dominates bottom, but this is not checked!
- ExciseNode(TsurgeonPattern) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.ExciseNode
-
Excises only the directed node.
- exhaustiveTest - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
- existsInClasspathOrFileSystem(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Check if this path exists either in the classpath or on the filesystem.
- exit(int) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
Exits with a given status code
- exit() - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
Exits with status code 0, stopping Redwood first
- exp(DoubleAD) - Static method in class edu.stanford.nlp.math.ADMath
-
- exp(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- exp(Counter<T>) - Static method in class edu.stanford.nlp.stats.Counters
-
- expand(Interval<E>) - Method in class edu.stanford.nlp.util.Interval
-
Returns (smallest) interval that contains both this and the other interval
- expandDependency(IntDependency, double) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
The dependency arg is still in the full tag space.
- expandDependencyMap - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- expandEnvironmentVariables(String, Map<String, String>) - Static method in class edu.stanford.nlp.util.StringUtils
-
Takes an input String, and replaces any bash-style variables (e.g., $VAR_NAME)
with its actual environment variable from the passed environment specification.
- expandEnvironmentVariables(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Takes an input String, and replaces any bash-style variables (e.g., $VAR_NAME)
with its actual environment variable from
System.getenv()
.
- expandMidDot - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- expandStringRegex(String) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- expandToInclude(Span) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
-
- expectedAndEmpiricalCountsAndValueForADoc(double[][], double[][], int) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- expectedAndEmpiricalCountsAndValueForADoc(double[][], double[][], int) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionNoisyLabel
-
- expectedCountsAndValueForADoc(double[][], int) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- expectedCountsAndValueForADoc(double[][], int, boolean, boolean) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- expectedCountsForADoc(double[][], int) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- expectedTokenSequences - Variable in exception edu.stanford.nlp.ling.tokensregex.parser.ParseException
-
Each entry in this array is an array of integers.
- expectedTokenSequences - Variable in exception edu.stanford.nlp.semgraph.semgrex.ParseException
-
Each entry in this array is an array of integers.
- expectedTokenSequences - Variable in exception edu.stanford.nlp.trees.tregex.ParseException
-
Each entry in this array is an array of integers.
- expectedTokenSequences - Variable in exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException
-
Each entry in this array is an array of integers.
- expectedValue() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Each pair x,y has a value in p.data.values[x][y]
- Experiments - Class in edu.stanford.nlp.maxent
-
This class represents the training samples.
- Experiments() - Constructor for class edu.stanford.nlp.maxent.Experiments
-
- Experiments(int[][]) - Constructor for class edu.stanford.nlp.maxent.Experiments
-
If this constructor is used, the maximum possible class overall is found and all classes are assumed possible
for all instances.
- Experiments(int[][], int[]) - Constructor for class edu.stanford.nlp.maxent.Experiments
-
The number of possible classes for each instance is contained in the array maxYs
then the possible classes for x are from 0 to maxYs[x]-1.
- Experiments(int[][], int) - Constructor for class edu.stanford.nlp.maxent.Experiments
-
- Experiments(String) - Constructor for class edu.stanford.nlp.maxent.Experiments
-
The filename has format: <data><xSize>xSize</xSize><ySize>ySize</ySize>
x1 y1
x2 y2
..
- expInPlace(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- expInPlace(Counter<T>) - Static method in class edu.stanford.nlp.stats.Counters
-
- EXPLETIVE - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "expletive" grammatical relation.
- EXPLETIVE - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "expletive" grammatical relation.
- ExplicitTemporalSet(SUTime.Temporal...) - Constructor for class edu.stanford.nlp.time.SUTime.ExplicitTemporalSet
-
- ExplicitTemporalSet(Set<SUTime.Temporal>) - Constructor for class edu.stanford.nlp.time.SUTime.ExplicitTemporalSet
-
- ExplicitTemporalSet(SUTime.ExplicitTemporalSet, Set<SUTime.Temporal>) - Constructor for class edu.stanford.nlp.time.SUTime.ExplicitTemporalSet
-
- exportFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- expr - Variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions.WrappedExpression
-
- EXPR_LENGTH_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- EXPR_LENGTH_PRIORITY_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- EXPR_ORDER_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- EXPR_PRIORITY_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- EXPR_PRIORITY_LENGTH_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- EXPR_TO_TOKEN_OFFSETS_INTERVAL_FUNC - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- EXPR_TOKEN_OFFSET_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- EXPR_TOKEN_OFFSETS_NESTED_FIRST_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- EXPR_WEIGHT_SCORER - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- Expression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- Expression - Interface in edu.stanford.nlp.ling.tokensregex.types
-
This interface represents an expression that can be evaluated to obtain a value.
- ExpressionExtractorRule(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- Expressions - Class in edu.stanford.nlp.ling.tokensregex.types
-
Various implementations of the Expression interface, which is
used for specifying an "action" or "result" in TokensRegex extraction rules.
- Expressions.AndExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
- Expressions.AssignableFunctionCallExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
A function call that can be assigned a value.
- Expressions.CaseExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
- Expressions.CompositeValue - Class in edu.stanford.nlp.ling.tokensregex.types
-
A composite value with field names and values for each field
- Expressions.ConditionalExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
- Expressions.FieldExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
- Expressions.FunctionCallExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
- Expressions.IfExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
- Expressions.IndexedExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
- Expressions.ListExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
- Expressions.MethodCallExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
- Expressions.NotExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
- Expressions.OrExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
- Expressions.PrimitiveValue<T> - Class in edu.stanford.nlp.ling.tokensregex.types
-
Primitive value that is directly represented by a Java object of type T
- Expressions.RegexMatchResultVarExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
- Expressions.RegexMatchVarExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
- Expressions.RegexValue - Class in edu.stanford.nlp.ling.tokensregex.types
-
A string that represents a regular expression
- Expressions.SimpleCachedExpression<T> - Class in edu.stanford.nlp.ling.tokensregex.types
-
A simple implementation of an expression that is represented by a java object of type T
and which also has a cached Value stored with it
- Expressions.SimpleExpression<T> - Class in edu.stanford.nlp.ling.tokensregex.types
-
A simple implementation of an expression that is represented by a java object of type T
- Expressions.SimpleValue<T> - Class in edu.stanford.nlp.ling.tokensregex.types
-
Simple implementation of Value backed by a java object of type T
- Expressions.TypedExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
An expression with a typename and tags.
- Expressions.VarAssignmentExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
A variable assignment with the name of the variable, and the expression to assign to that variable
- Expressions.VarExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
A variable, which can be assigned any expression.
- Expressions.WrappedExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
An expression that is a wrapper around another expression.
- expressionToValue - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- exSize - Variable in class edu.stanford.nlp.maxent.Problem
-
- ExtensionFileFilter - Class in edu.stanford.nlp.io
-
Implements a file filter that uses file extensions to filter files.
- ExtensionFileFilter(String, boolean) - Constructor for class edu.stanford.nlp.io.ExtensionFileFilter
-
Sets up Extension file filter by specifying an extension
to accept (currently only 1) and whether to also display
folders for recursive search.
- ExtensionFileFilter(String) - Constructor for class edu.stanford.nlp.io.ExtensionFileFilter
-
Sets up an extension file filter that will recurse into sub directories.
- extra() - Method in class edu.stanford.nlp.trees.TypedDependency
-
- extract(S, List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
- extract(List<? extends CoreMap>, List<MatchedExpression>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.BasicSequenceExtractRule
-
- extract(CoreMap, List<O>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapExtractRule
-
- extract(CoreMap, List<O>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapToListExtractRule
-
- extract(I, List<O>) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.ExtractRule
-
- extract(I, List<O>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.FilterExtractRule
-
- extract(I, List<O>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.ListExtractRule
-
- extract(List<? extends T>, List<O>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.MultiSequencePatternExtractRule
-
- extract(List<? extends T>, List<O>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequencePatternExtractRule
-
- extract(String, List<O>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringPatternExtractRule
-
- extract() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
-
- extract(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
-
- extract(Collection<Tree>, double, Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
-
- extract(Iterator<Tree>, Function<Tree, Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
-
- extract(Iterator<Tree>, Function<Tree, Tree>) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
-
- extract(Collection<Tree>) - Method in interface edu.stanford.nlp.parser.lexparser.Extractor
-
- extract(Iterator<Tree>, Function<Tree, Tree>) - Method in interface edu.stanford.nlp.parser.lexparser.Extractor
-
- extractAnnotation(Env, CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- extractAnnotation(Env, List<? extends CoreMap>) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- extractAnnotation(List<? extends CoreMap>, CoreMapAggregator) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- extractAnnotation(Env, CoreMap) - Method in class edu.stanford.nlp.time.TimeExpression
-
- extractAnnotation(Env, List<? extends CoreMap>) - Method in class edu.stanford.nlp.time.TimeExpression
-
- extractCombinationMode(Properties) - Static method in class edu.stanford.nlp.ie.ClassifierCombiner
-
Either finds COMBINATION_MODE_PROPERTY or returns a default value.
- extractCombinationModeSafe(Properties) - Static method in class edu.stanford.nlp.ie.ClassifierCombiner
-
Either finds COMBINATION_MODE_PROPERTY or returns a default
value.
- extractCoreMaps(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
-
Returns list of coremaps that matches the specified rules.
- extractCoreMapsMergedWithTokens(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
-
Returns list of merged tokens and original tokens.
- extractDatumSequence(int[][][], int, int, List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Creates a new CRFDatum from the preprocessed allData format, given the
document number, position number, and a List of Object labels.
- extractDay(String) - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
- extractEntity(int[], int, String) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
-
extracts the entity starting at the given position
and adds it to the entity list.
- extractExpressions(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
-
- extractFunc - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- extractMin() - Method in class edu.stanford.nlp.util.ArrayHeap
-
Finds the object with the minimum key, removes it from the heap,
and returns it.
- extractMin() - Method in interface edu.stanford.nlp.util.Heap
-
Returns the minimum object, then removes that object from the heap.
- extractMonth(String) - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
- extractNgram(List<T>, int, int) - Static method in class edu.stanford.nlp.ling.SentenceUtils
-
Returns the substring of the sentence from start (inclusive)
to end (exclusive).
- Extractor<T> - Interface in edu.stanford.nlp.parser.lexparser
-
- Extractor - Class in edu.stanford.nlp.tagger.maxent
-
This class serves as the base class for classes which extract relevant
information from a history to give it to the features.
- Extractor() - Constructor for class edu.stanford.nlp.tagger.maxent.Extractor
-
- Extractor(int, boolean) - Constructor for class edu.stanford.nlp.tagger.maxent.Extractor
-
This constructor creates an extractor which extracts either the tag or
the word from position position in the history.
- ExtractorDistsim - Class in edu.stanford.nlp.tagger.maxent
-
Extractor for adding distsim information.
- ExtractorDistsimConjunction - Class in edu.stanford.nlp.tagger.maxent
-
Extractor for adding a conjunction of distsim information.
- ExtractorFrames - Class in edu.stanford.nlp.tagger.maxent
-
This class contains the basic feature extractors used for all words and
tag sequences (and interaction terms) for the MaxentTagger, but not the
feature extractors explicitly targeting generalization for rare or unknown
words.
- ExtractorFramesRare - Class in edu.stanford.nlp.tagger.maxent
-
This class contains feature extractors for the MaxentTagger that are only
applied to rare (low frequency/unknown) words.
- Extractors - Class in edu.stanford.nlp.tagger.maxent
-
Maintains a set of feature extractors for a maxent POS tagger and applies them.
- Extractors(Extractor[]) - Constructor for class edu.stanford.nlp.tagger.maxent.Extractors
-
Set the extractors from an array.
- ExtractorVerbalVBNZero - Class in edu.stanford.nlp.tagger.maxent
-
Look for verbs selecting a VBN verb.
- ExtractorVerbalVBNZero(int) - Constructor for class edu.stanford.nlp.tagger.maxent.ExtractorVerbalVBNZero
-
- extractPrefixedProperties(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Build a Properties
object containing key-value pairs from
the given data where the keys are prefixed with the given
prefix
.
- extractPrefixedProperties(Properties, String, boolean) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Build a Properties
object containing key-value pairs from
the given data where the keys are prefixed with the given
prefix
.
- extractRelationSubflags(int, int) - Static method in class edu.stanford.nlp.util.Interval
-
- extractRule - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
Actual rule performing the extraction (converting annotation to MatchedExpression)
- extractSelectedProperties(Properties, Set<String>) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Build a Properties
object containing key-value pairs from
the given properties whose keys are in a list to keep.
- extractTimeExpressionCoreMaps(CoreMap, CoreMap) - Method in interface edu.stanford.nlp.time.TimeExpressionExtractor
-
Extract time expressions from a sentence in a document.
- extractTimeExpressionCoreMaps(CoreMap, String) - Method in interface edu.stanford.nlp.time.TimeExpressionExtractor
-
Extract time expressions in a document (provided as a CoreMap Annotation).
- extractTimeExpressionCoreMaps(CoreMap, CoreMap) - Method in class edu.stanford.nlp.time.TimeExpressionExtractorImpl
-
- extractTimeExpressionCoreMaps(CoreMap, String) - Method in class edu.stanford.nlp.time.TimeExpressionExtractorImpl
-
- extractTimeExpressionCoreMaps(CoreMap, String, SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.TimeExpressionExtractorImpl
-
- extractTimeExpressions(CoreMap, String, SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.TimeExpressionExtractorImpl
-
- extractTimeExpressions(CoreMap, SUTime.Time, SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.TimeExpressionExtractorImpl
-
- extractWeekday(String) - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
This is a backup method if everything else fails.
- extractYear(String) - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
- extraTreeDepFilter() - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
-
Returns a Filter which checks dependencies for usefulness as
extra tree-based dependencies.
- extraTreeDepFilter() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Returns a Filter which checks dependencies for usefulness as
extra tree-based dependencies.
- extraTreeDepFilter() - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
-
Returns a Filter which checks dependencies for usefulness as
extra tree-based dependencies.
- f1(int, int, int) - Static method in class edu.stanford.nlp.classify.PRCurve
-
- f1() - Method in class edu.stanford.nlp.util.ConfusionMatrix.Contingency
-
- FactoredLexicon - Class in edu.stanford.nlp.parser.lexparser
-
- FactoredLexicon(MorphoFeatureSpecification, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.FactoredLexicon
-
- FactoredLexicon(Options, MorphoFeatureSpecification, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.FactoredLexicon
-
- FactoredLexiconEvent - Class in edu.stanford.nlp.parser.lexparser
-
- FactoredLexiconEvent(int, int, int, int, int, String, String) - Constructor for class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
-
- FactoredSequenceListener - Class in edu.stanford.nlp.sequences
-
- FactoredSequenceListener(SequenceListener, SequenceListener) - Constructor for class edu.stanford.nlp.sequences.FactoredSequenceListener
-
- FactoredSequenceListener(SequenceListener[]) - Constructor for class edu.stanford.nlp.sequences.FactoredSequenceListener
-
- FactoredSequenceModel - Class in edu.stanford.nlp.sequences
-
- FactoredSequenceModel(SequenceModel, SequenceModel, double, double) - Constructor for class edu.stanford.nlp.sequences.FactoredSequenceModel
-
using this constructor results in a weighted addition of the two models' scores.
- FactoredSequenceModel(SequenceModel, SequenceModel) - Constructor for class edu.stanford.nlp.sequences.FactoredSequenceModel
-
- FactoredSequenceModel(SequenceModel[], double[]) - Constructor for class edu.stanford.nlp.sequences.FactoredSequenceModel
-
- factorial(int) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Uses floating point so that it can represent the really big numbers that come up.
- factorInAlignmentProb - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- factorInBiEdgePotential - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- FactorTable - Class in edu.stanford.nlp.ie.crf
-
Stores a factor table as a one dimensional array of doubles.
- FactorTable(int, int) - Constructor for class edu.stanford.nlp.ie.crf.FactorTable
-
- FactorTable(FactorTable) - Constructor for class edu.stanford.nlp.ie.crf.FactorTable
-
- factory - Variable in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer.ArabicTokenizerFactory
-
- factory() - Static method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer
-
- factory() - Static method in class edu.stanford.nlp.international.french.process.FrenchTokenizer
-
Returns a factory for FrenchTokenizer.
- factory(LexedTokenFactory<T>, String) - Static method in class edu.stanford.nlp.international.french.process.FrenchTokenizer
-
- factory - Variable in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
-
- factory(LexedTokenFactory<T>, String) - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
-
recommended factory method
- factory(LexedTokenFactory<T>) - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
-
- factory() - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
-
- factory - Variable in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
-
- factory() - Static method in class edu.stanford.nlp.ling.CategoryWordTag
-
Return a factory for this kind of label
- factory() - Static method in class edu.stanford.nlp.ling.CoreLabel
-
Return a factory for this kind of label
- factory() - Static method in class edu.stanford.nlp.ling.IndexedWord
-
- factory() - Static method in class edu.stanford.nlp.ling.LabeledWord
-
Return a factory for this kind of label.
- factory() - Static method in class edu.stanford.nlp.ling.StringLabel
-
Return a factory for this kind of label.
- factory() - Static method in class edu.stanford.nlp.ling.TaggedWord
-
Return a factory for this kind of label.
- factory() - Static method in class edu.stanford.nlp.ling.Word
-
Return a factory for this kind of label.
- factory() - Static method in class edu.stanford.nlp.ling.WordTag
-
Return a factory for this kind of label.
- factory() - Static method in class edu.stanford.nlp.process.PTBTokenizer
-
This is a historical constructor that returns Word tokens.
- factory(boolean, boolean) - Static method in class edu.stanford.nlp.process.PTBTokenizer
-
- factory(LexedTokenFactory<T>, String) - Static method in class edu.stanford.nlp.process.PTBTokenizer
-
Get a TokenizerFactory that does Penn Treebank tokenization.
- factory - Variable in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
-
- factory() - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
-
- factory(boolean) - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
-
- factory(WordSegmenter) - Static method in class edu.stanford.nlp.process.WordSegmentingTokenizer
-
- factory() - Static method in class edu.stanford.nlp.trees.LabeledConstituent
-
Return a factory for this kind of constituent.
- factory() - Static method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
-
Return a TreeFactory
that produces trees of the
LabeledScoredTree{Node|Leaf}
type.
- factory(LabelFactory) - Static method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
-
Return a TreeFactory
that produces trees of the
LabeledScoredTree{Node|Leaf}
type, with
the Label
made with the supplied
LabelFactory
.
- factory() - Static method in class edu.stanford.nlp.trees.NamedDependency
-
- factory() - Static method in class edu.stanford.nlp.trees.SimpleConstituent
-
Return a factory for this kind of constituent.
- factory() - Static method in class edu.stanford.nlp.trees.SimpleTree
-
Return a TreeFactory
that produces trees of the
SimpleTree
type.
- factory() - Static method in class edu.stanford.nlp.trees.TreeGraphNode
-
Return a TreeFactory
that produces trees of type
TreeGraphNode
.
- factory(LabelFactory) - Static method in class edu.stanford.nlp.trees.TreeGraphNode
-
Return a TreeFactory
that produces trees of type
TreeGraphNode
, with the Label
made
by the supplied LabelFactory
.
- factory() - Static method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
-
- factory() - Static method in class edu.stanford.nlp.trees.UnnamedDependency
-
- Factory<T> - Interface in edu.stanford.nlp.util
-
A generified factory class which creates instances of a particular type.
- fail(Object) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
Create a RuntimeException with arguments
- fail() - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
Create a new RuntimeException with no arguments
- fakeDataset - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- FALL - Static variable in class edu.stanford.nlp.time.SUTime
-
- FALL_EQUINOX - Static variable in class edu.stanford.nlp.time.SUTime
-
- FALSE - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
- fastFactoredCandidateAddend - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
This variable says to find k good factored parses, how many added on
best PCFG parses should be examined.
- fastFactoredCandidateMultiplier - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
This variable says to find k good fast factored parses, how many times
k of the best PCFG parses should be examined.
- fatal(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
-
- fatal(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- featThreshFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- Feature - Class in edu.stanford.nlp.maxent
-
This class is used as a base class for TaggerFeature for the
tagging problem and for BinaryFeature for the general problem with binary
features.
- Feature() - Constructor for class edu.stanford.nlp.maxent.Feature
-
- Feature(Experiments, double[], Index<IntPair>) - Constructor for class edu.stanford.nlp.maxent.Feature
-
This is if we are given an array of double with a value for each training sample in the order of their occurrence.
- Feature(Experiments, double[][], Index<IntPair>) - Constructor for class edu.stanford.nlp.maxent.Feature
-
- Feature(Experiments, int, Index<IntPair>) - Constructor for class edu.stanford.nlp.maxent.Feature
-
- Feature(Experiments, int[], double[], Index<IntPair>) - Constructor for class edu.stanford.nlp.maxent.Feature
-
- FEATURE_SEP - Static variable in class edu.stanford.nlp.trees.international.negra.NegraLabel
-
- FeatureCollector(Set<String>) - Constructor for class edu.stanford.nlp.ie.NERFeatureFactory.FeatureCollector
-
Constructor
- featureCountThresh - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- featureCountThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- featureDiffThresh - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- featureFactories - Variable in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Support multiple feature factories (NERFeatureFactory, EmbeddingFeatureFactory) - Thang Sep 13, 2013.
- featureFactories - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- featureFactoriesArgs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- FeatureFactory<IN> - Class in edu.stanford.nlp.sequences
-
This is the abstract class that all feature factories must
subclass.
- FeatureFactory() - Constructor for class edu.stanford.nlp.sequences.FeatureFactory
-
- featureFactory - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- featureFactoryArgs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- featureGrouping - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- featureIndex - Variable in class edu.stanford.nlp.classify.GeneralDataset
-
- featureIndex() - Method in class edu.stanford.nlp.classify.GeneralDataset
-
- featureIndex() - Method in class edu.stanford.nlp.classify.LinearClassifier
-
- featureIndex - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- FeatureKey - Class in edu.stanford.nlp.tagger.maxent
-
Stores a triple of an extractor ID, a feature value (derived from history)
and a y (tag) value.
- FeatureKey() - Constructor for class edu.stanford.nlp.tagger.maxent.FeatureKey
-
- FeatureKey(int, String, String) - Constructor for class edu.stanford.nlp.tagger.maxent.FeatureKey
-
- FeatureNameComparator() - Constructor for class edu.stanford.nlp.trees.ud.CoNLLUUtils.FeatureNameComparator
-
- features() - Method in class edu.stanford.nlp.classify.LinearClassifier
-
- Features - Class in edu.stanford.nlp.maxent
-
An ArrayList of Feature.
- Features() - Constructor for class edu.stanford.nlp.maxent.Features
-
- Features(String, Experiments) - Constructor for class edu.stanford.nlp.maxent.Features
-
reads in the features from a file, having already read the
experiments
- FeaturesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FeaturesAnnotation
-
- featuresC(PaddedList<IN>, int, NERFeatureFactory.FeatureCollector) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
-
- featuresCnC(PaddedList<IN>, int, NERFeatureFactory.FeatureCollector) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
-
- featuresCp2C(PaddedList<IN>, int, NERFeatureFactory.FeatureCollector) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
-
- featuresCp3C(PaddedList<IN>, int, NERFeatureFactory.FeatureCollector) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
-
- featuresCp4C(PaddedList<IN>, int, NERFeatureFactory.FeatureCollector) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
-
- featuresCp5C(PaddedList<IN>, int, NERFeatureFactory.FeatureCollector) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
-
- featuresCpC(PaddedList<IN>, int, NERFeatureFactory.FeatureCollector) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
-
- featuresCpCnC(PaddedList<IN>, int, NERFeatureFactory.FeatureCollector) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
-
- featuresCpCp2C(PaddedList<IN>, int, NERFeatureFactory.FeatureCollector) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
-
- featuresCpCp2Cp3C(PaddedList<IN>, int, NERFeatureFactory.FeatureCollector) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
-
- featuresCpCp2Cp3Cp4C(PaddedList<IN>, int, NERFeatureFactory.FeatureCollector) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
-
- featureStr() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
-
- featureThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- featureVal - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- featureValue(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraLabel
-
- featureWeightThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- Featurizable<F> - Interface in edu.stanford.nlp.ling
-
Interface for Objects that can be described by their features.
- FEBRUARY - Static variable in class edu.stanford.nlp.time.SUTime
-
- FemaleGazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FemaleGazAnnotation
-
- femaleNameList - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- FetchNode - Class in edu.stanford.nlp.trees.tregex.tsurgeon
-
- FetchNode(String) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.FetchNode
-
- FieldExpression(Expression, String) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.FieldExpression
-
- FieldExpression(Expression, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.FieldExpression
-
- FieldValue(Env, Map<String, Expression>) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- file - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- file(String) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
Output to a file.
- file(File) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
Output to a file.
- FileHandler(String) - Constructor for class edu.stanford.nlp.util.logging.Redwood.FileHandler
-
- filename() - Method in interface edu.stanford.nlp.tagger.io.TaggedFileReader
-
- filename() - Method in class edu.stanford.nlp.tagger.io.TaggedFileRecord
-
- filename() - Method in class edu.stanford.nlp.tagger.io.TextTaggedFileReader
-
- filename() - Method in class edu.stanford.nlp.tagger.io.TreeTaggedFileReader
-
- filename() - Method in class edu.stanford.nlp.tagger.io.TSVTaggedFileReader
-
- fileNameClean(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Returns a "clean" version of the given filename in which spaces have
been converted to dashes and all non-alphanumeric chars are underscores.
- FilePathProcessor - Class in edu.stanford.nlp.util
-
The FilePathProcessor
traverses a directory structure and
applies the processFile
method to files meeting some
criterion.
- FileProcessor - Interface in edu.stanford.nlp.util
-
Interface for a Visitor pattern for Files.
- fill(double[][], double) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- fill(double[][][], double) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- fill(double[][][][], double) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- fill(boolean[][], boolean) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- fill(boolean[][][], boolean) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- fill(boolean[][][][], boolean) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- fillOptions(Class<?>[], Properties) - Static method in class edu.stanford.nlp.util.ArgumentParser
-
Populate all static options in the given set of classes, as defined by the given
properties.
- fillOptions(Class<?>[], Properties, String...) - Static method in class edu.stanford.nlp.util.ArgumentParser
-
- fillOptions(Class<?>[], String...) - Static method in class edu.stanford.nlp.util.ArgumentParser
-
Populate with the given command-line arguments all static
ArgumentParser.Option
-tagged fields in
the given classes.
- fillOptions(Class<?>, Properties) - Static method in class edu.stanford.nlp.util.ArgumentParser
-
Populate all static options in the given class, as defined by the given
properties.
- fillOptions(Class<?>, Properties, String...) - Static method in class edu.stanford.nlp.util.ArgumentParser
-
Populate all static options in the given class, as defined by the given properties.
- fillOptions(Class<?>, String...) - Static method in class edu.stanford.nlp.util.ArgumentParser
-
Populate all static options in the given class, as defined by the given
command-line arguments.
- fillOptions(Properties) - Static method in class edu.stanford.nlp.util.ArgumentParser
-
Populate with the given properties all static options in all classes in the current classpath.
- fillOptions(String...) - Static method in class edu.stanford.nlp.util.ArgumentParser
-
Populate with the given command-line arguments all static options in all
classes in the current classpath.
- fillOptions(Properties, String...) - Static method in class edu.stanford.nlp.util.ArgumentParser
-
- fillOptions(Object[], Properties) - Static method in class edu.stanford.nlp.util.ArgumentParser
-
Fill all non-static
ArgumentParser.Option
-tagged fields in the given set of objects with the given
properties.
- fillOptions(Object[], String[]) - Static method in class edu.stanford.nlp.util.ArgumentParser
-
Fill all non-static
ArgumentParser.Option
-tagged fields in the given set of objects with the given
command-line arguments.
- fillOptions(Object, Properties) - Static method in class edu.stanford.nlp.util.ArgumentParser
-
- fillOptions(Object, Properties, String...) - Static method in class edu.stanford.nlp.util.ArgumentParser
-
Populate all static options in the given class, as defined by the given properties.
- fillOptions(Object, String...) - Static method in class edu.stanford.nlp.util.ArgumentParser
-
Fill all non-static
ArgumentParser.Option
-tagged fields in the given object with the given
command-line arguments.
- fillOptions(Object, String, Properties) - Static method in class edu.stanford.nlp.util.ArgumentParser
-
Fill all the options for a given subcomponent.
- filter(T[], Predicate<? super T>) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
Returns an array with only the elements accepted by filter
Implementation notes: creates two arrays, calls filter
once for each element, does not alter original
- filter(E[], Predicate<E>) - Static method in class edu.stanford.nlp.util.Filters
-
Applies the given filter to each of the given elements, and returns the
array of elements that were accepted.
- filter(Iterable<T>, Predicate<T>) - Static method in class edu.stanford.nlp.util.Iterables
-
Filtered view of the given iterable.
- FILTER_RULE_TYPE - Static variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- filterAsList(Collection<? extends T>, Predicate<? super T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Filters the objects in the collection according to the given Filter and returns a list.
- FilteredIterator<T> - Class in edu.stanford.nlp.util
-
Iterator that suppresses items in another iterator based on a filter function.
- FilteredIterator(Iterator<T>, Predicate<T>) - Constructor for class edu.stanford.nlp.util.FilteredIterator
-
- FilterExtractRule(Predicate<I>, SequenceMatchRules.ExtractRule<I, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.FilterExtractRule
-
- FilterExtractRule(Predicate<I>, SequenceMatchRules.ExtractRule<I, O>...) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.FilterExtractRule
-
- FilterHandler - Class in edu.stanford.nlp.util.logging
-
Basic support for filtering records via LogFilter objects.
- FilterHandler(List<LogFilter>, boolean) - Constructor for class edu.stanford.nlp.util.logging.FilterHandler
-
- filterInfinite(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- FilteringTreeReader - Class in edu.stanford.nlp.trees
-
A FilteringTreeReader
filters the output of another TreeReader.
- FilteringTreeReader(TreeReader, Predicate<Tree>) - Constructor for class edu.stanford.nlp.trees.FilteringTreeReader
-
- filterNaN(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- filterNaNAndInfinite(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- filterRule - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
- Filters - Class in edu.stanford.nlp.util
-
Static class with some useful
Predicate
implementations and utility methods for working
with
Predicates
.
- Filters.ConjFilter<T> - Class in edu.stanford.nlp.util
-
Conjunction of a list of filters.
- Filters.DisjFilter<T> - Class in edu.stanford.nlp.util
-
Disjunction of a list of filters.
- Filters.RandomFilter<E> - Class in edu.stanford.nlp.util
-
A filter that accepts a random fraction of the input it sees.
- finalize(CoreMap) - Method in interface edu.stanford.nlp.time.TimeExpressionExtractor
-
Indicates that all annotations on the document has been completed
Performs cleanup on the document annotation.
- finalize(CoreMap) - Method in class edu.stanford.nlp.time.TimeExpressionExtractorImpl
-
- finalizeAnnotation(Annotation) - Method in class edu.stanford.nlp.ie.NERClassifierCombiner
-
- finalizeClassification(CoreMap) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Classification is finished for the document.
- finalizeClassification(CoreMap) - Method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
-
- finalizeCounts() - Method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
-
- finalizeCounts() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- finalizeTraining() - Method in class edu.stanford.nlp.parser.nndep.Classifier
-
Finish training this classifier; prepare for a shutdown.
- finalTags - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- find(List<? extends T>, SequenceMatcher.FindType) - Method in class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher
-
Given a sequence, applies our patterns over the sequence and returns
all matches, depending on the findType.
- find(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
Reset the matcher and then searches for pattern at the specified start index.
- find(int, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
- find() - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
Searches for the next occurrence of the pattern
- find() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
-
Find the next match of the pattern in the graph.
- find() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
-
Find the next match of the pattern on the tree.
- find(LogRecordHandler) - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
-
- find(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Say whether this regular expression can be found inside
this String.
- findAllMatches(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
Given a segment of text, returns list of spans (PhraseMatch) that corresponds
to a phrase in the table
- findAllMatches(PhraseTable.WordList) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
Given a list of tokens, returns list of spans (PhraseMatch) that corresponds
to a phrase in the table
- findAllMatches(List<PhraseTable.Phrase>, String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
Given a segment of text, returns list of spans (PhraseMatch) that corresponds
to a phrase in the table (filtered by the list of acceptable phrase)
- findAllMatches(List<PhraseTable.Phrase>, PhraseTable.WordList) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
Given a list of tokens, returns list of spans (PhraseMatch) that corresponds
to a phrase in the table (filtered by the list of acceptable phrase)
- findAllMatches(PhraseTable.WordList, int, int, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- findAllMatches(List<PhraseTable.Phrase>, PhraseTable.WordList, int, int, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- findAllNonOverlapping() - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
Applies the matcher and returns all non overlapping matches
- findAllNonOverlappingMatchesPerPattern(List<? extends T>) - Method in class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher
-
Given a sequence, applies each of our patterns over the sequence and returns
all non overlapping matches for each of the patterns.
- findAllRelns(GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Given a semantic graph, and a target relation, returns a list of all
relations (edges) matching.
- findAllRelns(String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Given a semantic graph, and the short name of a target relation, returns a list of all
relations (edges) matching.
- findAndAnnotateNumericExpressions(CoreMap) - Static method in class edu.stanford.nlp.ie.NumberNormalizer
-
- findAndAnnotateNumericExpressionsWithRanges(CoreMap) - Static method in class edu.stanford.nlp.ie.NumberNormalizer
-
- findAndMergeNumbers(CoreMap) - Static method in class edu.stanford.nlp.ie.NumberNormalizer
-
Takes annotation and identifies numbers in the annotation.
- findAt(Tree) - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
-
Similar to find()
, but matches only if node
is
the root of the match.
- findBestUsingAnnealing(SequenceModel, CoolingSchedule) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
-
- findBestUsingAnnealing(SequenceModel, CoolingSchedule, int[]) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
-
- findBestUsingSampling(SequenceModel, int, int, int[]) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
-
Finds the best sequence by collecting numSamples samples, scoring them, and then choosing
the highest scoring sample.
- findMarkedHead(Tree) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
-
A way for subclasses for corpora with explicit head markings
to return the explicitly marked head
- findMarkedHead(Tree) - Method in class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
-
Predicatively marked elements in a sentence should be noted as heads
- findMarkedHead(Tree[]) - Method in class edu.stanford.nlp.trees.international.negra.NegraHeadFinder
-
- findMatches(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- findMatches(PhraseTable.WordList) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- findMatches(PhraseTable.WordList, int, int, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- findMatches(String, int, int, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- findMatches(Collection<PhraseTable.Phrase>, PhraseTable.WordList, int, int, boolean, boolean, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- findMatchesNormalized(Collection<PhraseTable.Phrase>, PhraseTable.WordList, int, int, boolean, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- findNextMatchingNode() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
-
Find the next match of the pattern in the graph such that the matching node
(that is, the node matching the root node of the pattern) differs from the
previous matching node.
- findNextMatchingNode() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
-
Find the next match of the pattern on the tree such that the
matching node (that is, the tree node matching the root node of
the pattern) differs from the previous matching node.
- findNodePattern(Function<NodePattern<T>, OUT>) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- findNodePatterns(Function<NodePattern<T>, OUT>, boolean, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- findNonOverlapping(List<? extends T>) - Method in class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher
-
Given a sequence, applies our patterns over the sequence and returns
all non overlapping matches.
- findNonOverlapping(List<? extends T>, Comparator<? super SequenceMatchResult>) - Method in class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher
-
Given a sequence, applies our patterns over the sequence and returns
all non overlapping matches.
- findNonOverlappingMaxScore(List<? extends T>) - Method in class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher
-
Given a sequence, applies our patterns over the sequence and returns
all non overlapping matches.
- findNonOverlappingMaxScore(List<? extends T>, ToDoubleFunction<? super SequenceMatchResult>) - Method in class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher
-
Given a sequence, applies our patterns over the sequence and returns
all non overlapping matches.
- findNonOverlappingPhrases(List<PhraseTable.PhraseMatch>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- findNumbers(CoreMap) - Static method in class edu.stanford.nlp.ie.NumberNormalizer
-
Find and mark numbers (does not need NumberSequenceClassifier)
Each token is annotated with the numeric value and type:
- CoreAnnotations.NumericTypeAnnotation.class: ORDINAL, UNIT (hundred, thousand,..., dozen, gross,...), NUMBER
- CoreAnnotations.NumericValueAnnotation.class: Number representing the numeric value of the token
( two thousand => 2 1000 ).
- findOffsets(Pattern, String) - Static method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
Finds pattern in text and returns offsets.
- findOffsets(Pattern, String, int, int) - Static method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
Finds pattern in text span from character start to end (exclusive) and returns offsets.
- findSpace(String, int) - Static method in class edu.stanford.nlp.util.XMLUtils
-
return either the first space or the first nbsp
- findTargetStringOffsets(String, String) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
Finds target string in text and returns offsets
(matches based on set matchType).
- findTargetStringOffsets(String, String, int, int) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
Finds target string in text span from character start to end (exclusive) and returns offsets
(matches based on set matchType).
- findTargetStringOffsetsExct(String, String, int, int) - Static method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
Finds target string in text span from character start to end (exclusive) and returns offsets
(does EXCT string matching).
- findTargetStringOffsetsRegex(String, String, int, int) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
Finds target string in text and returns offsets using regular expressions
(matches based on set matchType).
- FineGrainedNamedEntityTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FineGrainedNamedEntityTagAnnotation
-
- finishThread() - Static method in class edu.stanford.nlp.util.logging.Redwood
-
Signal that this thread will not log any more messages in the multithreaded
environment
- finishThread() - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- finishTraining() - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
Done collecting statistics for the lexicon.
- finishTraining() - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
-
Returns the trained UWM.
- finishTraining() - Method in interface edu.stanford.nlp.process.WordSegmenter
-
- finiteDifferenceStepSize - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
finiteDifferenceStepSize - this is the fixed step size for the finite difference approximation.
- FIRST - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- first - Variable in class edu.stanford.nlp.util.Pair
-
Direct access is deprecated.
- first() - Method in class edu.stanford.nlp.util.Pair
-
- first - Variable in class edu.stanford.nlp.util.Quadruple
-
- first() - Method in class edu.stanford.nlp.util.Quadruple
-
- first - Variable in class edu.stanford.nlp.util.Triple
-
- first() - Method in class edu.stanford.nlp.util.Triple
-
- FIRST_NON_NIL - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- firstChild() - Method in class edu.stanford.nlp.trees.Tree
-
Returns the first child of a tree, or null
if none.
- FirstChildAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FirstChildAnnotation
-
- firstKeySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- firstKeySet() - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- firstKeySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- firstKeySet() - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
- firstKeySet() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- fixChunkSentenceBoundaries(CoreMap, List<IntPair>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Give an list of character offsets for chunk, fix sentence splitting
so sentences doesn't break the chunks.
- fixChunkSentenceBoundaries(CoreMap, List<IntPair>, boolean, boolean, boolean) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Give an list of character offsets for chunk, fix sentence splitting
so sentences doesn't break the chunks.
- fixChunkTokenBoundaries(CoreMap, List<IntPair>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Give an list of character offsets for chunk, fix tokenization so tokenization occurs at
boundary of chunks.
- FixedPrioritiesPriorityQueue<E> - Class in edu.stanford.nlp.util
-
A priority queue based on a binary heap.
- FixedPrioritiesPriorityQueue() - Constructor for class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
- FixedPrioritiesPriorityQueue(int) - Constructor for class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
- fixTokenOffsets(CoreMap) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Fix token offsets of sentences to match those in the document (assumes tokens are shared)
sentence token indices may not match document token list if certain html elements are ignored.
- flags - Variable in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- flags - Variable in class edu.stanford.nlp.sequences.FeatureFactory
-
- flagsToNumArgs() - Static method in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- flatMap(Iterable<? extends Iterable<T>>, Function<? super T, U>) - Static method in class edu.stanford.nlp.util.Iterables
-
Chains together an Iterable of Iterables after transforming each one.
- flatten(List<CoreMap>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
-
- flatten(Map<E2, Counter<E>>) - Static method in class edu.stanford.nlp.stats.Counters
-
- flatten() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- flatten() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- flatten() - Method in class edu.stanford.nlp.trees.Tree
-
Return a flattened version of a tree.
- flatten(TreeFactory) - Method in class edu.stanford.nlp.trees.Tree
-
Return a flattened version of a tree.
- flatten(double[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- flatten(Collection<List<T>>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Combines all the lists in a collection to a single list.
- flattenTree(Tree) - Static method in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
-
Returns the string associated with the input parse tree.
- flexiTag - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- flexiTag - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
-
- floatArrayToDoubleArray(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- floatArrayToDoubleArray(float[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- floatArrToByteArr(float[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- floatArrToByteArr(float[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- floatArrToByteArr(byte[], int, float[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- FloatFactorTable - Class in edu.stanford.nlp.ie.crf
-
Stores a factor table as a one dimensional array of floats.
- FloatFactorTable(int, int) - Constructor for class edu.stanford.nlp.ie.crf.FloatFactorTable
-
- FloatFunction - Interface in edu.stanford.nlp.optimization
-
An interface for double-valued functions over double arrays.
- floatValue() - Method in class edu.stanford.nlp.math.DoubleAD
-
- floatValue() - Method in class edu.stanford.nlp.util.MutableDouble
-
- floatValue() - Method in class edu.stanford.nlp.util.MutableInteger
-
- flush() - Method in class edu.stanford.nlp.io.BZip2PipedOutputStream
-
- flush() - Method in class edu.stanford.nlp.util.logging.JavaUtilLoggingAdaptor.RedwoodHandler
-
This is a no-op since Redwood doesn't have this.
- flush() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- flush() - Method in class edu.stanford.nlp.util.SystemUtils.ProcessOutputStream
-
- fmeasure(int, int) - Method in class edu.stanford.nlp.classify.PRCurve
-
the f-measure if we just guess as negative the first numleft and guess as positive the last numright
- fmeasure(int) - Method in class edu.stanford.nlp.classify.PRCurve
-
what is the f-measure at this recall if we look at the score as the probability of class 1 given x
as if coming from logistic regression same as logPrecision but calculating f-measure
- fnCount - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
Count of false negatives.
- fnum(int, int) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
- fnumArr - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
This contains the number of features active for each pair (x,y)
- FORCE - Static variable in class edu.stanford.nlp.util.logging.Redwood
-
- force() - Method in class edu.stanford.nlp.util.logging.Redwood.Record
-
Returns whether this log message wants to be forced to be printed
- FORCE - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
-
- forceCNF - Variable in class edu.stanford.nlp.parser.lexparser.Options
-
Forces parsing with strictly CNF grammar -- unary chains are converted
to XP&YP symbols and back
- forceDate - Variable in class edu.stanford.nlp.time.JodaTimeUtils.ConversionOptions
-
If true, give a "best guess" of the right date; if false, backoff to giving a duration
for malformed dates.
- ForcedSentenceEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ForcedSentenceEndAnnotation
-
- ForcedSentenceUntilEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ForcedSentenceUntilEndAnnotation
-
- forceTagBeginnings - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
- forceTags - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
Parse using only tags given from correct answer or the POS tagger
- forceTrack(Object) - Static method in class edu.stanford.nlp.util.logging.Redwood
-
Helper method to start a track on the FORCE channel.
- forceTrack() - Static method in class edu.stanford.nlp.util.logging.Redwood
-
Helper method to start an anonymous track on the FORCE channel.
- forceTrack(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- forceUnits - Variable in class edu.stanford.nlp.time.JodaTimeUtils.ConversionOptions
-
Force particular units -- e.g., force 20Y to be 20Y (20 years) rather than 2E (2 decades)
- forEach(Consumer<? super E>) - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
- FORMAT - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
-
- format - Variable in class edu.stanford.nlp.util.ConfusionMatrix
-
- format(String, Object...) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- format(Locale, String, Object...) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- FORMAT_FULL - Static variable in class edu.stanford.nlp.time.SUTime
-
- FORMAT_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- FORMAT_ISO - Static variable in class edu.stanford.nlp.time.SUTime
-
- FORMAT_PAD_UNKNOWN - Static variable in class edu.stanford.nlp.time.SUTime
-
- FORMAT_TIMEX3_VALUE - Static variable in class edu.stanford.nlp.time.SUTime
-
- formatChannel(StringBuilder, String, Object) - Method in class edu.stanford.nlp.util.logging.OutputHandler
-
Format a channel
- formatChannel(StringBuilder, String, Object) - Method in class edu.stanford.nlp.util.logging.RedirectOutputHandler
-
Ensure that we don't print duplicate channels when adapting to another logging framework.
- formatSemanticGraph(SemanticGraph) - Method in class edu.stanford.nlp.semgraph.SemanticGraphFormatter
-
Returns a pretty-printed string representation of the given semantic graph,
on one or more lines.
- formatTimeDifference(long, StringBuilder) - Static method in class edu.stanford.nlp.util.logging.Redwood
-
Utility method for formatting a time difference (maybe this should go to a util class?)
- formatTimeDifference(long) - Static method in class edu.stanford.nlp.util.logging.Redwood
-
- formResult() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
-
- formResult() - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
-
- FORTNIGHT - Static variable in class edu.stanford.nlp.time.SUTime
-
- foundCorrect - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- foundGuessed - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- fourth - Variable in class edu.stanford.nlp.util.Quadruple
-
- fourth() - Method in class edu.stanford.nlp.util.Quadruple
-
- fpCount - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
Count of false positives.
- fractionBeforeUnseenCounting - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Start to aggregate signature-tag pairs only for words unseen in the first
this fraction of the data.
- FragDiscardingPennTreeReader - Class in edu.stanford.nlp.trees.international.pennchinese
-
- FragDiscardingPennTreeReader(Reader, TreeFactory, TreeNormalizer, Tokenizer<String>) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.FragDiscardingPennTreeReader
-
- freeDependencies - Variable in class edu.stanford.nlp.parser.lexparser.Options
-
if true, any child can be the head (seems rather bad!)
- freeMem - Variable in class edu.stanford.nlp.util.MemoryMonitor
-
- FRENCH_PROPERTIES - Static variable in class edu.stanford.nlp.pipeline.LanguageInfo
-
- FrenchAOverAFilter() - Constructor for class edu.stanford.nlp.trees.international.french.FrenchTreeNormalizer.FrenchAOverAFilter
-
- FrenchHeadFinder - Class in edu.stanford.nlp.trees.international.french
-
TODO wsg2010: Compare these head finding rules to those found in Arun Abishek's
master's thesis.
- FrenchHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.french.FrenchHeadFinder
-
- FrenchHeadFinder(FrenchTreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.french.FrenchHeadFinder
-
- FrenchMorphoFeatureSpecification - Class in edu.stanford.nlp.international.french
-
If MorphoFeatureType.OTHER is active, then the "CC tagset" is produced (see Tbl.2
of (Crabbe and Candito, 2008).
- FrenchMorphoFeatureSpecification() - Constructor for class edu.stanford.nlp.international.french.FrenchMorphoFeatureSpecification
-
- FrenchTokenizer<T extends HasWord> - Class in edu.stanford.nlp.international.french.process
-
Tokenizer for raw French text.
- FrenchTokenizer(Reader, LexedTokenFactory<T>, Properties, boolean, boolean) - Constructor for class edu.stanford.nlp.international.french.process.FrenchTokenizer
-
Constructor.
- FrenchTokenizer.FrenchTokenizerFactory<T extends HasWord> - Class in edu.stanford.nlp.international.french.process
-
A factory for French tokenizer instances.
- FrenchTreebankLanguagePack - Class in edu.stanford.nlp.trees.international.french
-
Language pack for the French treebank.
- FrenchTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
-
- FrenchTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser
-
TreebankLangParserParams for the French Treebank corpus.
- FrenchTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
-
- FrenchTreeNormalizer - Class in edu.stanford.nlp.trees.international.french
-
Prepares French Treebank trees for parsing.
- FrenchTreeNormalizer(boolean) - Constructor for class edu.stanford.nlp.trees.international.french.FrenchTreeNormalizer
-
- FrenchTreeNormalizer.FrenchAOverAFilter - Class in edu.stanford.nlp.trees.international.french
-
- FrenchTreeReaderFactory - Class in edu.stanford.nlp.trees.international.french
-
A class for reading French Treebank trees that have been converted
from XML to PTB format.
- FrenchTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.french.FrenchTreeReaderFactory
-
- FrenchUnknownWordSignatures - Class in edu.stanford.nlp.international.french
-
Contains patterns for matching certain word types in French, such
as common suffices for nouns, verbs, adjectives and adverbs.
- FrenchXMLTreeReader - Class in edu.stanford.nlp.trees.international.french
-
A reader for XML format French Treebank files.
- FrenchXMLTreeReader(Reader, boolean) - Constructor for class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReader
-
Read parse trees from a Reader.
- FrenchXMLTreeReader(Reader, TreeFactory, TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReader
-
Read parse trees from a Reader.
- FrenchXMLTreeReaderFactory - Class in edu.stanford.nlp.trees.international.french
-
A class for reading French Treebank trees that have been converted
from XML to PTB format.
- FrenchXMLTreeReaderFactory(boolean) - Constructor for class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReaderFactory
-
- FreqAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FreqAnnotation
-
- FRIDAY - Static variable in class edu.stanford.nlp.time.SUTime
-
- from(E) - Static method in class edu.stanford.nlp.util.Lazy
-
Create a degenerate
Lazy
, which simply returns the given pre-computed
value.
- fromDateString(String) - Static method in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
Takes a string already formatted in ISODateInstance format
(such as one previously written out using toString) and creates
a new date instance from it
- FromDependenciesFactory() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructure.FromDependenciesFactory
-
- FromDependenciesFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure.FromDependenciesFactory
-
- FromDependenciesFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalStructure.FromDependenciesFactory
-
- FromDependenciesFactory() - Constructor for class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure.FromDependenciesFactory
-
- fromJavaUtilLogging(Logger) - Static method in class edu.stanford.nlp.util.logging.RedirectOutputHandler
-
- fromMap(Map<E, N>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a counter view of the given map.
- fromMap(Map<E, N>, Class<N>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a counter view of the given map.
- fromMap(String, Map<String, String>) - Static method in class edu.stanford.nlp.time.Timex
-
- fromPair(Pair<Integer, Integer>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.Span
-
A silly translation between a pair and a span.
- fromPair(IntPair) - Static method in class edu.stanford.nlp.ie.machinereading.structure.Span
-
Another silly translation between a pair and a span.
- fromPairOneIndexed(Pair<Integer, Integer>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.Span
-
A silly translation between a pair and a span.
- fromShortName(String) - Static method in enum edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter.OutputStyle
-
Convert a String expressing an output format to its internal
coding as an OutputStyle.
- fromString(String, NERClassifierCombiner.Language) - Static method in enum edu.stanford.nlp.ie.NERClassifierCombiner.Language
-
- fromString(String) - Static method in class edu.stanford.nlp.stats.ClassicCounter
-
Converts from the format printed by the toString method back into
a Counter<String>.
- fromString(String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Convert from String to Properties.
- fromStringReps(List<String>, List<String>, List<String>) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Create a grammatical structure from its string representation.
- fromTagString(String) - Method in class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification.ArabicMorphoFeatures
-
- fromTagString(String) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
-
Assumes that the tag string has been formed using a call to getTag().
- fromValues(int, int) - Static method in class edu.stanford.nlp.ie.machinereading.structure.Span
-
Safe way to construct Spans if you're not sure which value is higher.
- fromValues(Object...) - Static method in class edu.stanford.nlp.ie.machinereading.structure.Span
-
- fromXml(String) - Static method in class edu.stanford.nlp.time.Timex
-
- fSize - Variable in class edu.stanford.nlp.maxent.Problem
-
- fSpec - Variable in class edu.stanford.nlp.international.morph.MorphoFeatures
-
- FTB_ENCODING - Static variable in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
-
- FTB_OPTIONS - Static variable in class edu.stanford.nlp.international.french.process.FrenchTokenizer
-
- ftbFactory() - Static method in class edu.stanford.nlp.international.french.process.FrenchTokenizer
-
Returns a factory for FrenchTokenizer that replicates the tokenization of
Green, de Marneffe, and Manning (2011).
- ftilde() - Method in class edu.stanford.nlp.maxent.Feature
-
- ftilde() - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
-
- ftildeArr - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
This is an array of empirical expectations for the features
- FULLWIDTH - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
-
- Function - Interface in edu.stanford.nlp.optimization
-
An interface for double-valued functions over double arrays.
- function - Variable in class edu.stanford.nlp.process.TransformXML.SAXInterface
-
- FunctionCallExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- FunctionCallExpression(String, List<? extends Expression>, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.FunctionCallExpression
-
- functions - Variable in class edu.stanford.nlp.maxent.Problem
-
These are the features.
- FuzzyInterval<E extends FuzzyInterval.FuzzyComparable<E>> - Class in edu.stanford.nlp.util
-
A FuzzyInterval is an extension of Interval where not all endpoints are always
specified or comparable.
- FuzzyInterval.FuzzyComparable<T> - Interface in edu.stanford.nlp.util
-
Interface with a looser ordering than Comparable.
- FW_ETC_PAT - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- FW_ETC_PAT_target - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- gain - Variable in class edu.stanford.nlp.optimization.SGDToQNMinimizer
-
- gain - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- GainCompute(Feature, double) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Computes the gain from a feature.
- gainSchedule(int, double) - Static method in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- gainSGD - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- gamma(double) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Approximation to gamma function.
- gapDecode(byte[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- gapDecode(byte[], int, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- gapDecodeList(byte[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- gapDecodeList(byte[], int, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- gapEncode(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- gapEncodeList(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- gappingTransform(Tree) - Static method in class edu.stanford.nlp.trees.CoordinationTransformer
-
- GazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GazAnnotation
-
- GazetteerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GazetteerAnnotation
-
- gazettes - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- gazFilesFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- geDebug - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- gen - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
-
- gen - Variable in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
-
- gen - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- GenderAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GenderAnnotation
-
- GeneralDataset<L,F> - Class in edu.stanford.nlp.classify
-
- GeneralDataset() - Constructor for class edu.stanford.nlp.classify.GeneralDataset
-
- GeneralizedCounter<K> - Class in edu.stanford.nlp.stats
-
A class for keeping double counts of
List
s of a
prespecified length.
- GeneralizedCounter(int) - Constructor for class edu.stanford.nlp.stats.GeneralizedCounter
-
Constructs a new GeneralizedCounter of a specified depth
- GeneralizedExpectationObjectiveFunction<L,F> - Class in edu.stanford.nlp.classify
-
Implementation of Generalized Expectation Objective function for
an I.I.D.
- GeneralizedExpectationObjectiveFunction(GeneralDataset<L, F>, List<? extends Datum<L, F>>, List<F>) - Constructor for class edu.stanford.nlp.classify.GeneralizedExpectationObjectiveFunction
-
- generateCCProcessedDependencies(Tree) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
- generateCCProcessedDependencies(GrammaticalStructure) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
- generateCCProcessedDependencies(GrammaticalStructure, GrammaticalStructure.Extras) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
- generateCollapsedDependencies(Tree) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
- generateCollapsedDependencies(GrammaticalStructure) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
- generateCollapsedDependencies(GrammaticalStructure, GrammaticalStructure.Extras) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
- generateDict(List<String>, int) - Static method in class edu.stanford.nlp.parser.nndep.Util
-
Build a dictionary of words collected from a corpus.
- generateDict(List<String>) - Static method in class edu.stanford.nlp.parser.nndep.Util
-
- generateEnhancedDependencies(Tree) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
Produces an enhanced dependencies SemanticGraph.
- generateEnhancedDependencies(GrammaticalStructure) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
Produces an enhanced dependencies SemanticGraph.
- generateEnhancedPlusPlusDependencies(Tree) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
Produces an enhanced++ dependencies SemanticGraph.
- generateEnhancedPlusPlusDependencies(GrammaticalStructure) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
Produces an enhanced++ dependencies SemanticGraph.
- generateOriginalDependencies - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
- generateOriginalDependencies() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
- generateOriginalDependencies() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- generateOriginalDependencies() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
Whether to generate original Stanford Dependencies or the newer
Universal Dependencies.
- generateOriginalDependencies - Variable in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
For languages where a Universal Dependency converter
exists this variable determines whether the original
or the Universal converter will be used.
- generateOriginalDependencies() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
- generateOriginalDependencies() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- generateOriginalDependencies() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Used for languages where an original Stanford Dependency
converter and a Universal Dependency converter exists.
- generateParseException() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
Generate ParseException.
- generateUncollapsedDependencies(Tree) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
Produces an Uncollapsed (basic) SemanticGraph.
- generateUncollapsedDependencies(GrammaticalStructure) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
Produces an Uncollapsed (basic) SemanticGraph.
- generateUncollapsedDependencies(GrammaticalStructure, GrammaticalStructure.Extras) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
- GENERIC_TIME_WORDS - Static variable in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
-
- genericKeys - Static variable in class edu.stanford.nlp.ling.CoreLabel
-
- Generics - Class in edu.stanford.nlp.util
-
A collection of utilities to make dealing with Java generics less
painful and verbose.
- GenericTimeExpressionPatterns - Class in edu.stanford.nlp.time
-
Provides generic mechanism to convert natural language into temporal representation
by reading patterns/rules specifying mapping between text and temporal objects
from file.
- GenericTimeExpressionPatterns(Options) - Constructor for class edu.stanford.nlp.time.GenericTimeExpressionPatterns
-
- GenericTokensAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GenericTokensAnnotation
-
- genericValues - Static variable in class edu.stanford.nlp.ling.CoreLabel
-
- GeniaAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GeniaAnnotation
-
- genStop - Variable in class edu.stanford.nlp.parser.lexparser.Options
-
- genTrainExamples(List<CoreMap>, List<DependencyTree>) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
-
- genVals - Static variable in class edu.stanford.nlp.international.french.FrenchMorphoFeatureSpecification
-
- GERMAN_PROPERTIES - Static variable in class edu.stanford.nlp.pipeline.LanguageInfo
-
- get(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- get(String) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- get(Object) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- get(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
Returns the ith element
- get(String) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
-
- get() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleExpression
-
- get() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleValue
-
- get() - Method in interface edu.stanford.nlp.ling.tokensregex.types.Value
-
The Java object representing the value of the expression.
- get(int) - Method in class edu.stanford.nlp.maxent.Experiments
-
- get(int) - Method in class edu.stanford.nlp.maxent.Features
-
- get(String) - Method in class edu.stanford.nlp.semgraph.semgrex.Env
-
- get(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
-
- get(int) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
Get a tree by index from the Treebank.
- get(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.util.ArrayCoreMap
-
Returns the value associated with the given key or null if
none is provided.
- get(Object) - Method in class edu.stanford.nlp.util.ArrayMap
-
- get(Object) - Method in class edu.stanford.nlp.util.CacheMap
-
- get(Object) - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
- get(U, U) - Method in class edu.stanford.nlp.util.ConfusionMatrix
-
Retrieves the number of entries with this guess and gold.
- get(Object) - Method in class edu.stanford.nlp.util.DeltaMap
-
This may cost twice what it would in the original Map.
- get(int) - Method in class edu.stanford.nlp.util.HashIndex
-
Gets the object whose index is the integer argument.
- get(int) - Method in interface edu.stanford.nlp.util.Index
-
Gets the object whose index is the integer argument.
- get(int) - Method in class edu.stanford.nlp.util.IntTuple
-
- get() - Method in class edu.stanford.nlp.util.Lazy
-
Get the value of this
Lazy
, computing it if necessary.
- get(int) - Method in class edu.stanford.nlp.util.PaddedList
-
- get(Properties, String, E, Type) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Get the value of a property and automatically cast it to a specific type.
- get(K1, K2) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
- get(K1, K2) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- get(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- get(Class<? extends TypesafeMap.Key<VALUE>>) - Method in interface edu.stanford.nlp.util.TypesafeMap
-
Returns the value associated with the given key or null if
none is provided.
- GET_ANNOTATION_TAG_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- GET_VALUE_TAG_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- getAccCoverage() - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
-
- getAccuracy() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- getAccuracyDescription(int) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
Returns a String summarizing overall accuracy that will print nicely.
- getAccuracyInfo() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
Return overall per token accuracy
- getAcl(String) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "acl" grammatical relation.
- getAcls() - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
- getAction() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- getAdaptationPrior(double[], LogPrior) - Static method in class edu.stanford.nlp.classify.LogPrior
-
- getAdvcl(String) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "advcl" grammatical relation.
- getAdvcls() - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
- getAggregator(Map<Class, CoreMapAttributeAggregator>) - Static method in class edu.stanford.nlp.pipeline.CoreMapAggregator
-
- getAggregator(Map<Class, CoreMapAttributeAggregator>, Class) - Static method in class edu.stanford.nlp.pipeline.CoreMapAggregator
-
- getAggregator(Map<Class, CoreMapAttributeAggregator>, Class, CoreLabelTokenFactory) - Static method in class edu.stanford.nlp.pipeline.CoreMapAggregator
-
- getAggregator(String) - Static method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- getAll(Map<T, V>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Get all values corresponding to the indices (if they exist in the map).
- getAll(Map<T, V>, Collection<T>) - Static method in class edu.stanford.nlp.util.Maps
-
get all values corresponding to the indices (if they exist in the map)
- getAllEdges() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- getAllEdges() - Method in interface edu.stanford.nlp.graph.Graph
-
- getAllEdges(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- getAllHolidays(Holidays, Set<de.jollyday.config.Holiday>) - Static method in class edu.stanford.nlp.time.JollyDayHolidays
-
- getAllHolidays(Configuration, Set<de.jollyday.config.Holiday>) - Static method in class edu.stanford.nlp.time.JollyDayHolidays
-
- getAllHolidays(Configuration) - Static method in class edu.stanford.nlp.time.JollyDayHolidays
-
- getAllHolidaysCVMap(Set<de.jollyday.config.Holiday>) - Method in class edu.stanford.nlp.time.JollyDayHolidays
-
- getAllHolidaysCVMap(Configuration) - Method in class edu.stanford.nlp.time.JollyDayHolidays
-
- getAllHolidaysMap(Set<de.jollyday.config.Holiday>) - Method in class edu.stanford.nlp.time.JollyDayHolidays
-
- getAllHolidaysMap(Configuration) - Method in class edu.stanford.nlp.time.JollyDayHolidays
-
- getAllNodesByPartOfSpeechPattern(String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- getAllNodesByWordPattern(String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns all nodes of type
IndexedWord
in this
SemanticGraph
having the given word or
regex, or returns empty list if no such found.
- getAllTranslations(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
- getAllVertices() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- getAllVertices() - Method in interface edu.stanford.nlp.graph.Graph
-
- getAlternateForms() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.Phrase
-
- getAltTag() - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
-
An alternate tag form than the one produced by getTag().
- getAmbClass(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
-
- getAnnotatedBinaryTreebankFromTreebank(Treebank, Treebank, Treebank, Options) - Static method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
-
- getAnnotatedChunk(List<CoreLabel>, int, int, int) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Create a new chunk Annotation with basic chunk information.
- getAnnotatedChunk(List<CoreLabel>, int, int, int, Class, Class, Class) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Create a new chunk Annotation with basic chunk information.
- getAnnotatedChunk(CoreMap, int, int) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Create a new chunk Annotation with basic chunk information
CharacterOffsetBeginAnnotation - set to CharacterOffsetBeginAnnotation of first token in chunk
CharacterOffsetEndAnnotation - set to CharacterOffsetEndAnnotation of last token in chunk
TokensAnnotation - List of tokens in this chunk
TokenBeginAnnotation - Index of first token in chunk (index in original list of tokens)
tokenStartIndex + annotation's TokenBeginAnnotation
TokenEndAnnotation - Index of last token in chunk (index in original list of tokens)
tokenEndIndex + annotation's TokenBeginAnnotation
TextAnnotation - String extracted from the origAnnotation using character offset information for this chunk
- getAnnotatedChunk(CoreMap, int, int, Class, Class) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Create a new chunk Annotation with basic chunk information
CharacterOffsetBeginAnnotation - set to CharacterOffsetBeginAnnotation of first token in chunk
CharacterOffsetEndAnnotation - set to CharacterOffsetEndAnnotation of last token in chunk
TokensAnnotation - List of tokens in this chunk
TokenBeginAnnotation - Index of first token in chunk (index in original list of tokens)
tokenStartIndex + annotation's TokenBeginAnnotation
TokenEndAnnotation - Index of last token in chunk (index in original list of tokens)
tokenEndIndex + annotation's TokenBeginAnnotation
TextAnnotation - String extracted from the origAnnotation using character offset information for this chunk
- getAnnotatedChunks(List<CoreLabel>, int, Class, Class) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
-
Find and annotate chunks.
- getAnnotatedChunks(List<CoreLabel>, int, Class, Class, Predicate<Pair<CoreLabel, CoreLabel>>) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
-
- getAnnotatedChunks(List<CoreLabel>, int, Class, Class, Class, Class) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
-
- getAnnotatedChunks(List<CoreLabel>, int, Class, Class, Class, Class, Predicate<Pair<CoreLabel, CoreLabel>>) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
-
Find and annotate chunks.
- getAnnotatedChunksUsingSortedCharOffsets(CoreMap, List<IntPair>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
- getAnnotatedChunksUsingSortedCharOffsets(CoreMap, List<IntPair>, boolean, Class, Class, boolean) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Create a list of new chunk Annotation with basic chunk information.
- getAnnotatedChunkUsingCharOffsets(CoreMap, int, int) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Returns a chunk annotation based on char offsets.
- getAnnotation() - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- getAnnotationPatterns() - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern
-
- getAnnotationString(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
-
Build a string of annotations for the given tree.
- getAnswers(List<IN>, PlainTextDocumentReaderAndWriter.OutputStyle, boolean) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
-
- getArch() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getArrayComparator() - Static method in class edu.stanford.nlp.util.Comparators
-
- getAttribute(Element, String) - Static method in class edu.stanford.nlp.time.XMLUtils
-
- getAttribute(Node, String) - Static method in class edu.stanford.nlp.time.XMLUtils
-
- getAttributes() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
-
- getAttributeValue(Node, String) - Static method in class edu.stanford.nlp.time.XMLUtils
-
- getb1() - Method in class edu.stanford.nlp.parser.nndep.Classifier
-
- getBase() - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
-
- getBaseName(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Strip directory from filename.
- getBaseName(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Strip directory and suffix from filename.
- getBaseName(String, String, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Strip directory and suffix from the given name.
- getBaseTag(int, TreebankLanguagePack) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- getBasicCategoryFunction() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns a
Function
object that maps Strings to Strings according
to this TreebankLanguagePack's basicCategory() method.
- getBasicCategoryFunction() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns a
Function
object that maps Strings to Strings according
to this TreebankLanguagePack's basicCategory method.
- getBatch(int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
getBatch is used to generate the next sequence of indices to be passed to the actual function.
- getBegin() - Method in class edu.stanford.nlp.util.Interval
-
Returns the start point.
- getBestMatched(List<T>, ToDoubleFunction<MatchedExpression>) - Static method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- getBestParse() - Method in interface edu.stanford.nlp.parser.ViterbiParser
-
Returns a best parse of the last sentence on which parse
was
called, or null if none exists.
- getBestParses() - Method in interface edu.stanford.nlp.parser.KBestViterbiParser
-
Get a complete set of the maximally scoring parses for a sentence,
rather than one chosen at random.
- getBestScore() - Method in interface edu.stanford.nlp.parser.KBestViterbiParser
-
Gets the score (typically a log probability) of the best
parse of a sentence.
- getBiasedDataset(ObjectBank<List<IN>>, Index<String>, Index<String>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- getBool(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Load a boolean property.
- getBool(Properties, String, boolean) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Load a boolean property.
- getBooleanArrayComparator() - Static method in class edu.stanford.nlp.util.Comparators
-
- getBuffer(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
Get the sentence index of the kth word on the buffer.
- getBufferedFileReader(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
- getBufferedReaderFromClasspathOrFileSystem(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
- getBufferSize() - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
- getBZip2PipedInputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
- getBZip2PipedOutputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
- getC() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
Get the C parameter (for the slack variables) for training the SVM.
- getCalibratedCliqueTree(int[][][], List<Index<CRFLabel>>, int, Index<E>, E, CliquePotentialFunction, double[][][]) - Static method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- getCalibratedCliqueTree(double[], double, int[][], int[][][], List<Index<CRFLabel>>, int, Index<E>, E) - Static method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
This function assumes a LinearCliquePotentialFunction is used for wrapping the weights
- getCalibratedCliqueTree(float[][], int[][][], List<Index<CRFLabel>>, int) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
-
- getCategoryAndFunctionFunction() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns a
Function
object that maps Strings to Strings according
to this TreebankLanguagePack's categoryAndFunction() method.
- getCategoryAndFunctionFunction() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns a
Function
object that maps Strings to Strings according
to this TreebankLanguagePack's categoryAndFunction method.
- getCharacter(char) - Static method in class edu.stanford.nlp.util.Characters
-
- getCharacterNgrams(String, int, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
Build a list of character-based ngrams from the given string.
- getCharOffsets() - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- getChars(char) - Static method in class edu.stanford.nlp.trees.international.pennchinese.RadicalMap
-
What are the Characters with this primary radical?
- getChild(int) - Method in class edu.stanford.nlp.trees.Tree
-
Return the child at some daughter index.
- getChildList(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- getChildren(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- getChildren(V) - Method in interface edu.stanford.nlp.graph.Graph
-
for undirected graph, it is just the neighbors
- getChildren(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- getChildren() - Method in class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
-
- getChildren() - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
-
- getChildren() - Method in class edu.stanford.nlp.trees.tregex.DescriptionPattern
-
- getChildrenAsList() - Method in class edu.stanford.nlp.trees.Tree
-
Returns a List of children for the current node.
- getChildrenWithReln(IndexedWord, GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns a set of all children bearing a certain grammatical relation, or
an empty set if none.
- getChildrenWithRelns(IndexedWord, Collection<GrammaticalRelation>) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns a set of all children bearing one of a set of grammatical
relations, or an empty set if none.
- getChildWithReln(IndexedWord, GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns the first IndexedFeatureLabel bearing a certain grammatical
relation, or null if none.
- getChunker() - Method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
-
- getChunkOffsets() - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- getChunkOffsetsUsingCharOffsets(List<? extends CoreMap>, int, int) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Return chunk offsets
- getClass(String, Dictionary, int, TTags) - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClasses
-
- getClassifier(String, Properties) - Static method in class edu.stanford.nlp.ie.ClassifierCombiner
-
- getClassifier(ObjectInputStream, Properties) - Static method in class edu.stanford.nlp.ie.ClassifierCombiner
-
- getClassifier(File) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Loads a CRF classifier from a filepath, and returns it.
- getClassifier(InputStream) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Loads a CRF classifier from an InputStream, and returns it.
- getClassifier(ObjectInputStream) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- getClassifier(String) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- getClassifier(String, Properties) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- getClassifier(ObjectInputStream, Properties) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- getClassifier(File) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- getClassifier(String) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- getClassifier(ObjectInputStream) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- getClassifier(ObjectInputStream, Properties) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- getClassifier(InputStream) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- getClassifier(String, Properties) - Static method in class edu.stanford.nlp.ie.NERClassifierCombiner
-
Static method for getting an NERClassifierCombiner from a string path.
- getClassifier(ObjectInputStream, Properties) - Static method in class edu.stanford.nlp.ie.NERClassifierCombiner
-
- getClassifierCreator(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
- getClassifierNoExceptions(String) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- getClassifierNoExceptions(File) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- getClassifierNoExceptions(String) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- getClassifierNoExceptions(InputStream) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- getCliqueFeatures(PaddedList<IN>, int, Clique) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
-
Extracts all the features from the input data at a certain index.
- getCliqueFeatures(PaddedList<IN>, int, Clique) - Method in class edu.stanford.nlp.sequences.FeatureFactory
-
This method returns a
Collection
of the features
calculated for the word at the specified position in info (the list of
words) for the specified
Clique
.
- getCliquePotentialFunction(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
-
- getCliquePotentialFunction(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- getCliquePotentialFunction(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
-
- getCliquePotentialFunction(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
-
- getCliquePotentialFunction(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
-
- getCliquePotentialFunction(double[]) - Method in interface edu.stanford.nlp.ie.crf.HasCliquePotentialFunction
-
- getCliquePotentialFunctionForTest() - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- getCliquePotentialFunctionForTest() - Method in class edu.stanford.nlp.ie.crf.CRFClassifierNonlinear
-
- getCliques() - Method in class edu.stanford.nlp.sequences.FeatureFactory
-
- getCliques(int, int) - Static method in class edu.stanford.nlp.sequences.FeatureFactory
-
- getCliqueTree(Triple<int[][][], int[], double[][][]>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- getCliqueTree(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- getCliqueTrees(String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Want to make arbitrary probability queries? Then this is the method for
you.
- getClosedClassTags() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getClosedTagThreshold() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getCmd() - Method in class edu.stanford.nlp.ie.crf.CRFClassifierEvaluator
-
- getCmd() - Method in class edu.stanford.nlp.optimization.CmdEvaluator
-
- getCmd(String) - Static method in class edu.stanford.nlp.optimization.CmdEvaluator
-
- getCollectionValuedMap(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
- getComments() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Return the list of comments stored with this graph.
- getCommonAncestor(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns the least common ancestor.
- getCompatible(SUTime.PartialTime, SUTime.PartialTime) - Static method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- getConditionalDistribution(int[], int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
Computes the distribution over values of the element at position pos in the
sequence, conditioned on the values of the elements in all other positions
of the provided sequence.
- getConditionalDistribution(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
-
- getCondProbs(CRFCliqueTree<String>, int[][][]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- getConfiguration() - Method in class edu.stanford.nlp.time.JollyDayHolidays.MyXMLManager
-
- getConj(String) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "conj" grammatical relation.
- getConj(String) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "conj" grammatical relation.
- getConjs() - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
- getConjs() - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
- getConllEvalString() - Method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
-
- getConllEvalString() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- getConllEvalString(boolean) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- getConnectedComponents(Graph<V, E>) - Static method in class edu.stanford.nlp.graph.ConnectedComponents
-
- getConnectedComponents() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- getConnectedComponents() - Method in interface edu.stanford.nlp.graph.Graph
-
- getConstrainedSet(String) - Method in class edu.stanford.nlp.ie.crf.LabelDictionary
-
Get the allowed label set for an observation.
- getContingency(U) - Method in class edu.stanford.nlp.util.ConfusionMatrix
-
Returns the contingency table for the given class label, where all other
class labels are treated as negative.
- getConverterOptions(String) - Static method in enum edu.stanford.nlp.trees.GrammaticalStructureConversionUtils.ConverterOptions
-
- getCopy(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- getCopy() - Method in class edu.stanford.nlp.util.IntPair
-
- getCopy() - Method in class edu.stanford.nlp.util.IntQuadruple
-
- getCopy() - Method in class edu.stanford.nlp.util.IntTriple
-
- getCopy() - Method in class edu.stanford.nlp.util.IntTuple
-
- getCopy() - Method in class edu.stanford.nlp.util.IntUni
-
- getCoreLabels() - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
- getCorrect() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
Return overall number of correct answers
- getCorrect(L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- getCost() - Method in class edu.stanford.nlp.parser.nndep.Classifier.Cost
-
- getCount(Object) - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Returns the count for this key as a double.
- getCount(Object) - Method in interface edu.stanford.nlp.stats.Counter
-
Returns the count for this key as a double.
- getCount(E) - Method in class edu.stanford.nlp.stats.Distribution
-
Returns the current count for the given key, which is 0 if it hasn't been
seen before.
- getCount(Object) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
- getCount(K, K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
- getCount(K, K, K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
- getCount(Object) - Method in class edu.stanford.nlp.stats.IntCounter
-
Returns the current count for the given key, which is 0 if it hasn't
been
seen before.
- getCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- getCount(K1, K2) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- getCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- getCount(String, String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
-
- getCountAsString(E) - Method in class edu.stanford.nlp.stats.IntCounter
-
- getCountCounts(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- getCounter() - Method in class edu.stanford.nlp.stats.Distribution
-
- getCounter(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- getCounter(K1) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- getCounter(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- getCountIn() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
-
- getCountIn(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
-
- getCountPart() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
-
- getCountPart(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
-
- getCountRB() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
-
- getCountRB(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
-
- getCounts(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- getCounts(List<K>) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
returns a double[]
array of length
depth+1
, containing the conditional counts on a
depth
-length list given each level of conditional
distribution from 0 to depth
.
- getCountThat() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
-
- getCountThat(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
-
- getCurrentFilename() - Method in class edu.stanford.nlp.trees.DiskTreebank
-
Returns the absolute path of the file currently being read.
- getCurrentPaths() - Method in class edu.stanford.nlp.trees.DiskTreebank
-
- getCurrentTime() - Static method in class edu.stanford.nlp.time.SUTime
-
- getCurWordMinFeatureThresh() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getData() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.Phrase
-
- getDataArray() - Method in class edu.stanford.nlp.classify.GeneralDataset
-
- getDataInputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
- getDataOutputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
- getDataset(Collection<List<IN>>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
Build a Dataset from some data.
- getDataset(Collection<List<IN>>, Index<String>, Index<String>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
Build a Dataset from some data.
- getDataset(ObjectBank<List<IN>>, Dataset<String, String>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
Build a Dataset from some data.
- getDataset(Dataset<String, String>, Index<String>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
Build a Dataset from some data.
- getDate() - Method in class edu.stanford.nlp.time.Timex
-
Gets the Calendar matching the year, month and day of this Timex.
- getDateString() - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
Provided for backwards compatibility with DateInstance;
returns the same thing as toString()
- getDateTimeFields() - Method in class edu.stanford.nlp.time.SUTime.Duration
-
- getDatum(int) - Method in class edu.stanford.nlp.classify.Dataset
-
- getDatum(int) - Method in class edu.stanford.nlp.classify.GeneralDataset
-
- getDatum(int) - Method in class edu.stanford.nlp.classify.RVFDataset
-
- getDay() - Method in class edu.stanford.nlp.time.SUTime.IsoDate
-
- getDebug() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getDebugPrefix() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getDefaultAggregator() - Static method in class edu.stanford.nlp.pipeline.CoreMapAggregator
-
- getDefaultAggregators() - Static method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- getDefaultClassifier() - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Used to get the default supplied classifier inside the jar file.
- getDefaultClassifier(Properties) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Used to get the default supplied classifier inside the jar file.
- getDefaultClassifier() - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
Used to obtain the default classifier which is
stored inside a jar file.
- getDefaultNegTag() - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
-
- getDefaultNestedResultsAnnotationKey() - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- getDefaultNestedResultsAnnotationKey(Env) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
-
- getDefaultPosTag() - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
-
- getDefaultResultAnnotationExtractor(Env) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
-
- getDefaultResultAnnotationKey() - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- getDefaultResultAnnotationKey(Env) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
-
- getDefaultResultsAnnotationExtractor() - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- getDefaults() - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- getDefaultScore() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
Returns a default score to be used for each tag that is incompatible with
the current word (e.g., the tag CC for the word "apple").
- getDefaultStringMatchFlags() - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- getDefaultStringPatternFlags() - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- getDefaultTagSeparator() - Static method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getDefaultTextAnnotationKey() - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- getDefaultTextAnnotationKey(Env) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
-
- getDefaultTokensAggregator() - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- getDefaultTokensAggregator(Env) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
-
- getDefaultTokensAggregators() - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- getDefaultTokensAggregators(Env) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
-
- getDefaultTokensAnnotationKey() - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- getDefaultTokensAnnotationKey(Env) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
-
- getDefaultTokensResultAnnotationKey() - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- getDefaultTokensResultAnnotationKey(Env) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
-
- getDeleteTempFilesOnExitFlag() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
- getDependent() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
-
- getDependentIndex() - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
-
- getDerivative() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
-
- getDerivatives() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
assuming we have the lambdas in the array and we need only the
derivatives now.
- getDerivativesExpectedValue() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
assuming we have the probConds[x][y] , compute the derivatives for the expectedValue function
- getDerivativesLossDomination() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Using the arrays calculated when computing the loss, it should not be
too hard to get the derivatives.
- getDerivativesNeg() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
assuming we have the lambdas in the array and we need only the
derivatives now.
- getDescription() - Method in class edu.stanford.nlp.io.ExtensionFileFilter
-
Returns a description of what extension is being used (for file choosers).
- getDescription() - Method in interface edu.stanford.nlp.ling.tokensregex.types.ValueFunction
-
Returns a string describing what this function does.
- getDescription() - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NamedValueFunction
-
- getDescription(int) - Method in class edu.stanford.nlp.stats.AccuracyStats
-
- getDescription(int) - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
-
- getDescription(int) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
Returns a String summarizing F1 that will print nicely.
- getDescription(int) - Method in interface edu.stanford.nlp.stats.Scorer
-
- getDiag(String) - Static method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
-
- getDirPath(Properties, String, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Get the value of a property as a path to a directory.
- getDistribution(Counter<E>) - Static method in class edu.stanford.nlp.stats.Distribution
-
Creates a Distribution from the given counter.
- getDistributionFromLogValues(Counter<E>) - Static method in class edu.stanford.nlp.stats.Distribution
-
Creates a Distribution from the given counter, ie makes an internal
copy of the counter and divides all counts by the total count.
- getDistributionFromPartiallySpecifiedCounter(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Distribution
-
Assuming that c has a total count < 1, returns a new Distribution using the counts in c as probabilities.
- getDistributionWithReservedMass(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Distribution
-
- getdot() - Method in class edu.stanford.nlp.math.DoubleAD
-
- getDouble(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Load a double property.
- getDouble(Properties, String, double) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Load a double property.
- getDoubleArray(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Loads a comma-separated list of doubles from Properties.
- getDuration() - Method in class edu.stanford.nlp.time.JollyDayHolidays.JollyHoliday
-
- getDuration() - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
-
- getDuration(ReadablePeriod) - Static method in class edu.stanford.nlp.time.SUTime.Duration
-
- getDuration(org.joda.time.Duration) - Static method in class edu.stanford.nlp.time.SUTime.Duration
-
- getDuration() - Method in class edu.stanford.nlp.time.SUTime.Duration
-
- getDuration() - Method in class edu.stanford.nlp.time.SUTime.ExplicitTemporalSet
-
- getDuration() - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
-
- getDuration() - Method in class edu.stanford.nlp.time.SUTime.InexactTime
-
- getDuration() - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- getDuration() - Method in class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
-
- getDuration() - Method in class edu.stanford.nlp.time.SUTime.Range
-
- getDuration() - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
-
- getDuration() - Method in enum edu.stanford.nlp.time.SUTime.StandardTemporalType
-
- getDuration() - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- getDuration() - Method in class edu.stanford.nlp.time.SUTime.Time
-
- getDuration() - Method in enum edu.stanford.nlp.time.SUTime.TimeUnit
-
- getDuration() - Method in class edu.stanford.nlp.time.SUTime.TimeWithRange
-
- getE() - Method in class edu.stanford.nlp.parser.nndep.Classifier
-
- getEdge(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- getEdge(IndexedWord, IndexedWord, GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Given a governor, dependent, and the relation between them, returns the
SemanticGraphEdge object of that arc if it exists, otherwise returns null.
- getEdge() - Method in class edu.stanford.nlp.trees.international.negra.NegraLabel
-
- getEdges(V, V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- getEdges(V, V) - Method in interface edu.stanford.nlp.graph.Graph
-
- getEncoding(Properties) - Static method in class edu.stanford.nlp.tagger.io.TaggedFileRecord
-
- getEncoding() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getEncoding() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Return the input Charset encoding for the Treebank.
- getEncoding() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
-
- getEncoding() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
Return the input Charset encoding for the Treebank.
- getEncoding() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
Return the input Charset encoding for the Treebank.
- getEncoding() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Return the charset encoding of the Treebank.
- getEnd() - Method in class edu.stanford.nlp.util.Interval
-
Returns the end point.
- getEndDate() - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
Returns this date or if it is a range,
the date the range ends.
- getEnglishSplitCategories(String) - Static method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
-
This is hardwired to calculate the split categories from English
Penn Treebank sections 2-21 with a default cutoff of 300 (as used
in ACL03PCFG).
- getEnv() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
-
- getEpsilon() - Method in class edu.stanford.nlp.classify.LogPrior
-
- getError() - Method in class edu.stanford.nlp.optimization.CmdEvaluator
-
- getEvalbF1() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- getEvalbF1Percent() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- getExact() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- getExactPercent() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- getExctWsRegex(String) - Static method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
- getExponentialSchedule(double, double, int) - Static method in class edu.stanford.nlp.sequences.CoolingSchedule
-
- getExpression(String) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
-
- getExpressionExtractor(Env, Reader) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- getExtension(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
- getExtractorFrames(String) - Static method in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
-
- getExtractorFramesRare(String, TTags) - Static method in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
-
Get an array of rare word feature Extractor identified by a name.
- getExtras(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
-
- getExtras(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Get extra dependencies that do not depend on the tree structure,
but rather only depend on the existing dependency structure.
- getExtras(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
-
- getF1Description(int) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
Returns a String summarizing F1 that will print nicely.
- getF1Description(int, L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
- getFactorTables() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- getFactory(String) - Static method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
-
Returns a factory that vends DelimitRegExIterators that read the contents of the
given Reader, splits on the specified delimiter, then returns the result.
- getFactory(String, Function<String, T>) - Static method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
-
Returns a factory that vends DelimitRegExIterators that reads the contents of the
given Reader, splits on the specified delimiter, applies op, then returns the result.
- getFactory() - Static method in class edu.stanford.nlp.objectbank.LineIterator
-
Returns a factory that vends LineIterators that read the contents of the
given Reader, splitting on newlines.
- getFactory(Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.LineIterator
-
Returns a factory that vends LineIterators that read the contents of the
given Reader, splitting on newlines.
- getFactory(String) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
-
Returns a factory that vends BeginEndIterators that reads the contents of
the given Reader, extracts text between the specified Strings, then
returns the result.
- getFactory(String, boolean, boolean) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
-
- getFactory(String, Function<String, E>) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
-
- getFactory(String, Function<String, E>, boolean, boolean) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
-
- getFactory() - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Returns a factory that can create new instances of this kind of Counter.
- getFactory() - Method in interface edu.stanford.nlp.stats.Counter
-
Returns a factory that can create new instances of this kind of Counter.
- getFactory() - Method in class edu.stanford.nlp.stats.IntCounter
-
- getFCounter(Counter<E>, Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
- getFeatureCount(double, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Returns number of features with weight above a certain threshold
(across all labels).
- getFeatureCount(Set<L>, double, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Returns number of features with weight above a certain threshold.
- getFeatureCount(F) - Method in class edu.stanford.nlp.ling.RVFDatum
-
- getFeatureCounter() - Method in class edu.stanford.nlp.classify.Dataset
-
Get Number of datums a given feature appears in.
- getFeatureCountLabelIndices(Set<Integer>, double, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Returns number of features with weight above a certain threshold.
- getFeatureCounts() - Method in class edu.stanford.nlp.classify.GeneralDataset
-
Get the total count (over all data instances) of each feature
- getFeatureCounts() - Method in class edu.stanford.nlp.classify.WeightedDataset
-
- getFeatureGrouping() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- getFeatureGrouping() - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
-
- getFeatureGrouping() - Method in interface edu.stanford.nlp.optimization.HasFeatureGrouping
-
- getFeatures(Configuration) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
-
- getFile(boolean) - Method in class edu.stanford.nlp.ie.crf.NERGUI
-
- getFile() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getFileInputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Get a input file stream (automatically gunzip/bunzip2 depending on file extension)
- getFileOutputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Get a output file stream (automatically gzip/bzip2 depending on file extension)
- getFileOutputStream(String, boolean) - Static method in class edu.stanford.nlp.io.IOUtils
-
- getFindType() - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
- getFirst() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
Finds the E with the highest priority and returns it, without
modifying the queue.
- getFirst() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
Returns the highest-priority element without removing it from the
queue.
- getFirst() - Method in interface edu.stanford.nlp.util.PriorityQueue
-
Finds the object with the highest priority and returns it, without
modifying the queue.
- getFirstKey() - Method in class edu.stanford.nlp.util.TwoDimensionalMap.Entry
-
- getFirstNonNullAttributeFromList(List<String>) - Method in class edu.stanford.nlp.util.XMLUtils.XMLTag
-
Given a list of attributes, return the first one that is non-null
- getFirstRoot() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns the (first) root of this SemanticGraph.
- getFirstTranslation(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
- getFloatFactorTable(float[][], int[][], List<Index<CRFLabel>>, int) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
-
- getFMeasure(L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
- getFMeasure() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
- getFolds() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
- getFormatter(int) - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
-
- getFormatter(int) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- getFunc(int) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionNoisyLabel
-
- getGfCharacter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
- getGlobal() - Static method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
-
For getting the instance that global methods use.
- getGlobal() - Static method in class edu.stanford.nlp.util.Interner
-
For getting the instance that global methods use.
- getGovernor() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
-
- getGovernorIndex() - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
-
- getGradb1() - Method in class edu.stanford.nlp.parser.nndep.Classifier.Cost
-
- getGradE() - Method in class edu.stanford.nlp.parser.nndep.Classifier.Cost
-
- getGradW1() - Method in class edu.stanford.nlp.parser.nndep.Classifier.Cost
-
- getGradW2() - Method in class edu.stanford.nlp.parser.nndep.Classifier.Cost
-
- getGrammaticalRelation(int, int) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Get GrammaticalRelation between gov and dep, and null if gov is not the
governor of dep.
- getGrammaticalRelation(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Get GrammaticalRelation between gov and dep, and null if gov is not the
governor of dep.
- getGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
- getGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- getGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
- getGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
Build a GrammaticalStructure from a Tree.
- getGranularity() - Method in class edu.stanford.nlp.time.SUTime.DurationWithFields
-
- getGranularity() - Method in enum edu.stanford.nlp.time.SUTime.StandardTemporalType
-
- getGranularity() - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- getGranularity() - Method in class edu.stanford.nlp.time.SUTime.Time
-
- getGranularity() - Method in enum edu.stanford.nlp.time.SUTime.TimeUnit
-
- getGraph() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
-
Returns the graph associated with this match.
- getGraph(SequenceModel, Index<String>) - Static method in class edu.stanford.nlp.sequences.ViterbiSearchGraphBuilder
-
- getHead(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
- getHeadFinder() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
-
- getHeldOutPercent() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
- getHistories(String[], History) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
-
This computes scores of tags at a position in a sentence (the so called "History").
- getHistory() - Method in class edu.stanford.nlp.tagger.maxent.DataWordTag
-
- getID() - Method in class edu.stanford.nlp.fsm.DFSATransition
-
- getIfDefined() - Method in class edu.stanford.nlp.util.Lazy
-
Get the value of this
Lazy
if it's been initialized, or else
return null.
- getIncomingEdges(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- getIncomingEdges(V) - Method in interface edu.stanford.nlp.graph.Graph
-
for undirected graph, it is just the edges from the node
- getIncomingEdgesSorted(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- getInDegree(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- getInDegree(V) - Method in interface edu.stanford.nlp.graph.Graph
-
for undirected graph, it should just be the degree
- getIndex(List<T>, T) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Returns the index of the first occurrence in the list of the specified
object, using object identity (==) not equality as the criterion for object
presence.
- getIndex(List<T>, T, int) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Returns the index of the first occurrence after the startIndex (exclusive)
in the list of the specified object, using object equals function.
- getInexactDuration(ReadablePeriod) - Static method in class edu.stanford.nlp.time.SUTime.Duration
-
- getInexactDuration(org.joda.time.Duration) - Static method in class edu.stanford.nlp.time.SUTime.Duration
-
- getInformationGains() - Method in class edu.stanford.nlp.classify.Dataset
-
- getInnerMapFactory() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- getInnerMapFactory() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- getInput() - Method in class edu.stanford.nlp.fsm.DFSATransition
-
- getInputEncoding() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Returns the input encoding being used.
- getInputEncoding() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
Returns the input encoding being used.
- getInputStream() - Method in class edu.stanford.nlp.util.ByteStreamGobbler
-
- getInputStreamFromURLOrClasspathOrFileSystem(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Locates this file either using the given URL, or in the CLASSPATH, or in the file system
The CLASSPATH takes priority over the file system!
This stream is buffered and gunzipped (if necessary).
- getInsertNPinPP() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
-
- getInstance(String, Index<String>, Index<String>, List<IN>, Pair<double[][], double[][]>, SeqClassifierFlags) - Method in interface edu.stanford.nlp.ie.PriorModelFactory
-
- getInstance() - Static method in class edu.stanford.nlp.international.spanish.SpanishVerbStripper
-
Singleton pattern function for getting a default verb stripper.
- getInstance(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishVerbStripper
-
Singleton pattern function for getting a verb stripper based on
the dictionary at dictPath.
- getInstance() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
A method for getting a singleton instance of this class.
- getInstant(Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- getInstant(Partial, ZoneId) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- getInt(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Load an integer property.
- getInt(Properties, String, int) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Load an integer property.
- getIntArray(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Loads a comma-separated list of integers from Properties.
- getIntCount(Object) - Method in class edu.stanford.nlp.stats.IntCounter
-
Returns the current count for the given key, which is 0 if it hasn't
been
seen before.
- getInterval() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- getInterval() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseMatch
-
- getInterval() - Method in class edu.stanford.nlp.time.SUTime.Range
-
- getInterval() - Method in class edu.stanford.nlp.time.SUTime.Time
-
- getInterval() - Method in interface edu.stanford.nlp.util.HasInterval
-
Returns the interval
- getInterval() - Method in class edu.stanford.nlp.util.Interval
-
Returns this interval.
- getInterval() - Method in class edu.stanford.nlp.util.ValuedInterval
-
- getIntTuple(int) - Static method in class edu.stanford.nlp.util.IntTuple
-
- getIntTuple(List<Integer>) - Static method in class edu.stanford.nlp.util.IntTuple
-
- getIterations() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getIterator(Reader) - Method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer.ArabicTokenizerFactory
-
- getIterator(Reader) - Method in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
-
- getIterator(Reader) - Method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
-
- getIterator(Reader) - Method in class edu.stanford.nlp.objectbank.DelimitRegExIterator.DelimitRegExIteratorFactory
-
- getIterator(Reader) - Method in interface edu.stanford.nlp.objectbank.IteratorFromReaderFactory
-
Return an iterator over the contents read from r.
- getIterator(Reader) - Method in class edu.stanford.nlp.objectbank.LineIterator.LineIteratorFactory
-
- getIterator(Reader) - Method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
-
Returns a tokenizer wrapping the given Reader.
- getIterator(Reader) - Method in class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
-
- getIterator(Reader) - Method in class edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
-
- getIterator(Reader) - Method in class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
-
- getIterator(Reader) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
-
- getIterator(Reader) - Method in class edu.stanford.nlp.trees.TreeTokenizerFactory
-
Same as getTokenizer().
- getIterator(Reader) - Method in class edu.stanford.nlp.trees.ud.CoNLLUDocumentReader
-
- getJNLPLocalScratch() - Static method in class edu.stanford.nlp.io.IOUtils
-
A JavaNLP specific convenience routine for obtaining the current
scratch directory for the machine you're currently running on.
- getJodaTimeDuration() - Method in class edu.stanford.nlp.time.SUTime.Duration
-
- getJodaTimeDuration() - Method in class edu.stanford.nlp.time.SUTime.DurationRange
-
- getJodaTimeDuration() - Method in class edu.stanford.nlp.time.SUTime.DurationWithFields
-
- getJodaTimeDuration() - Method in class edu.stanford.nlp.time.SUTime.DurationWithMillis
-
- getJodaTimeInstant() - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
-
- getJodaTimeInstant() - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
-
- getJodaTimeInstant() - Method in class edu.stanford.nlp.time.SUTime.InexactTime
-
- getJodaTimeInstant() - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- getJodaTimeInstant() - Method in class edu.stanford.nlp.time.SUTime.Time
-
- getJodaTimeInterval() - Method in class edu.stanford.nlp.time.SUTime.Range
-
- getJodaTimePartial() - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
-
- getJodaTimePartial() - Method in class edu.stanford.nlp.time.SUTime.InexactTime
-
- getJodaTimePartial() - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- getJodaTimePartial() - Method in class edu.stanford.nlp.time.SUTime.Time
-
- getJodaTimePeriod(Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- getJodaTimePeriod() - Method in class edu.stanford.nlp.time.SUTime.Duration
-
- getJodaTimePeriod() - Method in class edu.stanford.nlp.time.SUTime.DurationRange
-
- getJodaTimePeriod() - Method in class edu.stanford.nlp.time.SUTime.DurationWithFields
-
- getJodaTimePeriod() - Method in class edu.stanford.nlp.time.SUTime.DurationWithMillis
-
- getJustification() - Method in class edu.stanford.nlp.semgraph.semgrex.Alignment
-
- getKBestParses(int) - Method in interface edu.stanford.nlp.parser.KBestViterbiParser
-
Get the exact k best parses for the sentence.
- getKGoodParses(int) - Method in interface edu.stanford.nlp.parser.KBestViterbiParser
-
Get k good parses for the sentence.
- getKnownLCWords() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- getKSampledParses(int) - Method in interface edu.stanford.nlp.parser.KBestViterbiParser
-
Get k parse samples for the sentence.
- getL1NormalizedTFIDFDataset() - Method in class edu.stanford.nlp.classify.Dataset
-
Method to convert this dataset to RVFDataset using L1-normalized TF-IDF features
- getL1NormalizedTFIDFDatum(Datum<L, F>, Counter<F>) - Method in class edu.stanford.nlp.classify.Dataset
-
Method to convert features from counts to L1-normalized TFIDF based features
- getLabel() - Method in class edu.stanford.nlp.ie.crf.CRFLabel
-
- getLabel(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
- getLabeledToDescriptiveCoreLabelTreeFunction() - Static method in class edu.stanford.nlp.trees.TreeFunctions
-
Returns a function which takes a tree with any label class
where the labels might have an interesting description, such
as a CategoryWordTag which goes "cat [T/W]", and returns a new
tree with CoreLabels which contain the toString() of each of
the input labels.
- getLabeledTreeToCategoryWordTagTreeFunction() - Static method in class edu.stanford.nlp.trees.TreeFunctions
-
Return a Function that maps from StringLabel labeled trees to
LabeledScoredTrees with a CategoryWordTag label.
- getLabeledTreeToStringLabeledTreeFunction() - Static method in class edu.stanford.nlp.trees.TreeFunctions
-
Return an Function that maps from Label-labeled trees (any
implementing class) to LabeledScored trees with a StringLabel
label.
- getLabelID(String) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
-
- getLabelIndices(Set<L>) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Returns indices of labels
- getLabels() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- getLabels() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- getLabelsArray() - Method in class edu.stanford.nlp.classify.GeneralDataset
-
- getLang() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getLanguage(String) - Static method in class edu.stanford.nlp.parser.nndep.Config
-
Get the
Language
object corresponding to the given language string.
- getLanguage() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
-
Get the language of the grammatical relation.
- getLanguageFromString(String) - Static method in class edu.stanford.nlp.pipeline.LanguageInfo
-
convert various input strings to language enum
- getLanguageProperties(String) - Static method in class edu.stanford.nlp.pipeline.LanguageInfo
-
return an actual properties object for a given language
- getLanguagePropertiesFile(String) - Static method in class edu.stanford.nlp.pipeline.LanguageInfo
-
return the properties file name for a specific language
- getLastF1() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- getLeaf(Tree, int) - Static method in class edu.stanford.nlp.trees.Trees
-
Gets the ith leaf of a tree from the left.
- getLeafVertices() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- getLearnClosedClassTags() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getLeaves() - Method in class edu.stanford.nlp.trees.Tree
-
Gets the leaves of the tree.
- getLeaves(List<T>) - Method in class edu.stanford.nlp.trees.Tree
-
Gets the leaves of the tree.
- getLeftChild(int, int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
- getLeftChild(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
- getLeftLabelSet(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
- getLeftmostNode(IntervalTree.TreeNode<E, T>) - Method in class edu.stanford.nlp.util.IntervalTree
-
- getLeftValency(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
- getLexicon() - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel
-
Returns the lexicon used by this unknown word model.
- getLinearSchedule(double, int) - Static method in class edu.stanford.nlp.sequences.CoolingSchedule
-
- getLineIterable(Reader, boolean) - Static method in class edu.stanford.nlp.io.IOUtils
-
Given a reader, returns the lines from the reader as an Iterable.
- getLineIterable(Reader, int, boolean) - Static method in class edu.stanford.nlp.io.IOUtils
-
- getLineIterator(String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
-
- getLineIterator(String, Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
-
- getLineIterator(String, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
-
- getLineIterator(Reader) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
-
- getLineIterator(Reader, Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
-
- getLineIterator(File) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
-
- getLineIterator(File, Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
-
- getLineIterator(File, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
-
- getLineIterator(File, Function<String, X>, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
-
- getLineIterator(Collection<?>, Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
-
- getLineIterator(Collection<?>, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
-
- getLineIterator(Collection<?>, Function<String, X>, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
-
- getListComparator() - Static method in class edu.stanford.nlp.util.CollectionUtils
-
- getListComparator() - Static method in class edu.stanford.nlp.util.Comparators
-
- getLnrmRegex(String) - Static method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
- getLoc() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
-
- getLong(Properties, String, long) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Load an integer property as a long.
- getLongestPhrase(List<PhraseTable.Phrase>) - Static method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- getLongName() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
-
- getLowestCommonAncestor(List<Tree>, Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
Get lowest common ancestor of all the nodes in the list with the tree rooted at root
- getLowestCommonAncestor(Tree, Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
returns the node of a tree which represents the lowest common
ancestor of nodes t1 and t2 dominated by root.
- getLWsRegex(String) - Static method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
- getMangledTree() - Method in class edu.stanford.nlp.trees.CollocationFinder
-
Returns the "collocations included" parse tree.
- getMap(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseSimWordAvgDepGrammar
-
- getMap() - Method in class edu.stanford.nlp.semgraph.semgrex.Alignment
-
- getMap(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- getMapFactory() - Method in class edu.stanford.nlp.stats.IntCounter
-
- getMapFromString(String, Class<K>, Class<V>, MapFactory<K, V>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
- getMapping(String) - Method in class edu.stanford.nlp.tagger.maxent.Distsim
-
Returns the cluster for the given word as a string.
- getMatch() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
-
Get the last matching node -- that is, the node that matches the root node
of the pattern.
- getMatch() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
-
Get the last matching tree -- that is, the tree node that matches the root node of the pattern.
- getMatcher(List<? extends T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- getMatcher(List<? extends CoreMap>) - Method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
-
Returns a TokenSequenceMatcher that can be used to match this pattern
against the specified list of tokens.
- getMatchType() - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
- getMaxAvailableMemory() - Method in class edu.stanford.nlp.util.MemoryMonitor
-
- getMaxAvailableMemory(boolean) - Method in class edu.stanford.nlp.util.MemoryMonitor
-
- getMaxMemory() - Method in class edu.stanford.nlp.util.MemoryMonitor
-
- getMaxNodes() - Method in class edu.stanford.nlp.ling.tokensregex.MultiNodePattern
-
- getMaxSize() - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
- getMemoryInUse() - Static method in class edu.stanford.nlp.util.SystemUtils
-
Returns the number of megabytes (MB) of memory in use.
- getMergedChunk(List<? extends CoreMap>, String, int, int, CoreLabelTokenFactory) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Create chunk that is merged from chunkIndexStart to chunkIndexEnd (exclusive).
- getMergedChunk(List<? extends CoreMap>, int, int, Map<Class, CoreMapAttributeAggregator>, CoreLabelTokenFactory) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Create chunk that is merged from chunkIndexStart to chunkIndexEnd (exclusive)
- getMergedList() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
-
- getMergedList(int...) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
-
- getMiddle() - Method in class edu.stanford.nlp.util.IntQuadruple
-
- getMiddle() - Method in class edu.stanford.nlp.util.IntTriple
-
- getMidPoint(Interval<Integer>) - Static method in class edu.stanford.nlp.util.Interval
-
- getMinFeatureThresh() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getMinimizer() - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- getMinimizer(int, Evaluator[]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- getMinNodes() - Method in class edu.stanford.nlp.ling.tokensregex.MultiNodePattern
-
- getMinWordsLockTags() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getMod() - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- getMode() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getModel() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getMonth() - Method in class edu.stanford.nlp.time.SUTime.IsoDate
-
- getMostGeneral(Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- getMostGeneral(Period) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- getMostSpecific(Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- getMostSpecific(Period) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- getMultiPatternMatcher(Collection<TokenSequencePattern>) - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
-
Create a multi-pattern matcher for matching across multiple TokensRegex patterns.
- getMultiPatternMatcher(TokenSequencePattern...) - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
-
Create a multi-pattern matcher for matching across multiple TokensRegex patterns.
- getMultiPatternMatcher(String...) - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
-
Create a multi-pattern matcher for matching across multiple TokensRegex patterns from Strings.
- getName() - Method in class edu.stanford.nlp.optimization.InefficientSGDMinimizer
-
- getName() - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
-
- getName() - Method in class edu.stanford.nlp.optimization.SGDMinimizer
-
- getName() - Method in class edu.stanford.nlp.optimization.SGDToQNMinimizer
-
- getName() - Method in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
-
- getName() - Method in class edu.stanford.nlp.optimization.SMDMinimizer
-
- getName() - Method in class edu.stanford.nlp.optimization.SQNMinimizer
-
- getName() - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- getName() - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
-
- getName() - Method in class edu.stanford.nlp.util.MetaClass.ClassFactory
-
Returns the full class name for the objects being produced
- getNegLabel() - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
-
- getNegLabel() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
- getNeighbors(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
Gets both parents and children nodes
- getNeighbors(V) - Method in interface edu.stanford.nlp.graph.Graph
-
- getNewEnv() - Static method in class edu.stanford.nlp.ie.NumberNormalizer
-
- getNewEnv() - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
-
- getNewlineToken() - Static method in class edu.stanford.nlp.process.PTBTokenizer
-
Returns the string literal inserted for newlines when the -tokenizeNLs
options is set.
- getNext() - Method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer
-
- getNext() - Method in class edu.stanford.nlp.international.french.process.FrenchTokenizer
-
- getNext() - Method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
-
- getNext() - Method in class edu.stanford.nlp.process.AbstractTokenizer
-
Internally fetches the next token.
- getNext() - Method in class edu.stanford.nlp.process.LexerTokenizer
-
Internally fetches the next token.
- getNext() - Method in class edu.stanford.nlp.process.PTBTokenizer
-
Internally fetches the next token.
- getNext() - Method in class edu.stanford.nlp.process.TokenizerAdapter
-
Internally fetches the next token.
- getNext() - Method in class edu.stanford.nlp.process.WhitespaceTokenizer
-
Internally fetches the next token.
- getNext() - Method in class edu.stanford.nlp.process.WordSegmentingTokenizer
-
- getNext() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankTokenizer
-
Internally fetches the next token.
- getNext() - Method in class edu.stanford.nlp.trees.international.pennchinese.CHTBTokenizer
-
Internally fetches the next token.
- getNextToken() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
Get the next Token.
- getNGrams(List<T>, int, int) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Get all sub-lists of the given list of the given sizes.
- getNgrams(List<String>, int, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
n grams for already split string.
- getNgramsFromTokens(List<CoreLabel>, int, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
n grams for already split string.
- getNgramsString(String, int, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
The string is split on whitespace and the ngrams are joined with a single space
- getNmod(String) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "nmod" grammatical relation.
- getNmods() - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
- getNode(String) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
-
Returns the node labeled with name
in the pattern.
- getNode(Node, Pattern...) - Static method in class edu.stanford.nlp.time.XMLUtils
-
- getNode(Node, String...) - Static method in class edu.stanford.nlp.time.XMLUtils
-
- getNode(String) - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
-
Returns the node labeled with name
in the pattern.
- getNode(IntervalTree.TreeNode<E, T>, int) - Method in class edu.stanford.nlp.util.IntervalTree
-
- getNodeByIndex(int) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns the
first IndexedWord
in this
SemanticGraph
having the given integer index,
or throws
IllegalArgumentException
if no such node is found.
- getNodeByIndexAndCopyCount(int, int) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns the
first IndexedWord
in this
SemanticGraph
having the given integer index,
or throws
IllegalArgumentException
if no such node is found.
- getNodeByIndexAndCopyCountSafe(int, int) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Same as above, but returns null
if the index does not exist
(instead of throwing an exception).
- getNodeByIndexSafe(int) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Same as above, but returns null
if the index does not exist
(instead of throwing an exception).
- getNodeByWordPattern(String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns the
first IndexedWord
in this
SemanticGraph
having the given word or
regex, or return null if no such found.
- getNodeNames() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
-
Returns the set of names for named nodes in this pattern.
- getNodeNames() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
-
- getNodeNumber(int) - Method in class edu.stanford.nlp.trees.Tree
-
- getNodePattern(String) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- getNodes(Node, Pattern...) - Static method in class edu.stanford.nlp.time.XMLUtils
-
- getNodes(Node, String...) - Static method in class edu.stanford.nlp.time.XMLUtils
-
- getNodeText(Node, Pattern...) - Static method in class edu.stanford.nlp.time.XMLUtils
-
- getNodeText(Node, String...) - Static method in class edu.stanford.nlp.time.XMLUtils
-
- getNodeTexts(Node, String...) - Static method in class edu.stanford.nlp.time.XMLUtils
-
- getNonNested(List<? extends T>, Function<? super T, Interval<E>>, Comparator<? super T>) - Static method in class edu.stanford.nlp.util.IntervalTree
-
- getNonOverlapping(List<? extends T>, Function<? super T, Interval<E>>) - Static method in class edu.stanford.nlp.util.IntervalTree
-
- getNonOverlapping(List<? extends T>, Function<? super T, Interval<E>>, Comparator<? super T>) - Static method in class edu.stanford.nlp.util.IntervalTree
-
- getNonOverlapping(List<? extends T>, Comparator<? super T>) - Static method in class edu.stanford.nlp.util.IntervalTree
-
- getNonOverlapping(List<? extends T>) - Static method in class edu.stanford.nlp.util.IntervalTree
-
- getNonOverlappingMaxScore(List<? extends T>, Function<? super T, Interval<E>>, ToDoubleFunction<? super T>) - Static method in class edu.stanford.nlp.util.IntervalTree
-
- getNonOverlappingMaxScore(List<? extends T>, ToDoubleFunction<? super T>) - Static method in class edu.stanford.nlp.util.IntervalTree
-
- getNormalized(String) - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.AbstractStringAnnotationPattern
-
- getNormalizedCount(E) - Method in class edu.stanford.nlp.stats.IntCounter
-
This has been de-deprecated in order to reduce compilation warnings, but
really you should create a
Distribution
instead of using this method.
- getNormalizedForm(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- getNotNullString(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
- getNotNullTrueStringRep() - Method in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
note that this does *not* return string representation of arrays, lists and
enums
- getNThreads() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getNum() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- getNumber() - Method in class edu.stanford.nlp.maxent.Experiments
-
- getNumberOfKeys() - Method in class edu.stanford.nlp.stats.Distribution
-
- getNumberOfTemporalExprs() - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- getNumberOfTemporalFuncs() - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- getNumberOfTemporals() - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- getNumClasses() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- getNumClasses() - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
-
get the number of classes in the sequence model.
- getNumEdges() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- getNumEdges() - Method in interface edu.stanford.nlp.graph.Graph
-
- getNumValues() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- getNumVertices() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- getNumVertices() - Method in interface edu.stanford.nlp.graph.Graph
-
- getNumWeights() - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Returns the total number of weights associated with this classifier.
- getObject(E) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
Searches for the object in the queue and returns it.
- getObjective(AbstractStochasticCachingDiffUpdateFunction, double[], double, int[]) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
-
- getObjectiveFunction(int[][][][], int[][]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- getObjectiveFunction(int[][][][], int[][]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierNoisyLabel
-
- getObjectiveFunction(int[][][][], int[][]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierWithDropout
-
- getObl(String) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "obl" grammatical relation.
- getObls() - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
- getOneSmallerLabel() - Method in class edu.stanford.nlp.ie.crf.CRFLabel
-
- getOpenClassTags() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getOpenTags() - Method in class edu.stanford.nlp.tagger.maxent.TTags
-
Returns a list of all open class tags
- getOpenTagsArray() - Method in class edu.stanford.nlp.tagger.maxent.TTags
-
Returns a list of all open class tags as an array.
- getOperationFromReader(BufferedReader, TregexPatternCompiler) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
-
Parses a tsurgeon script text input and compiles a tregex pattern and a list
of tsurgeon operations into a pair.
- getOperationsFromFile(String, String, TregexPatternCompiler) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
-
Parses a tsurgeon script file and compiles all operations in the file into a list
of pairs of tregex and tsurgeon patterns.
- getOperationsFromReader(BufferedReader, TregexPatternCompiler) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
-
Parses and compiles all operations from a BufferedReader into a list
of pairs of tregex and tsurgeon patterns.
- getOpFlags() - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
-
- getOracle(Configuration, DependencyTree) - Method in class edu.stanford.nlp.parser.nndep.ArcStandard
-
- getOracle(Configuration, DependencyTree) - Method in class edu.stanford.nlp.parser.nndep.ParsingSystem
-
Provide a static-oracle recommendation for the next parsing step
to take.
- getOrDefault(K, V) - Method in class edu.stanford.nlp.util.LeastRecentlyUsedCache
-
- getOrder() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- getOrder() - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- getOrder() - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
- getOriginal() - Method in class edu.stanford.nlp.ling.IndexedWord
-
- getOriginalStem() - Method in class edu.stanford.nlp.international.spanish.SpanishVerbStripper.StrippedVerb
-
Returns the original stem of the verb, simply split off from pronouns.
- getOutDegree(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- getOutDegree(V) - Method in interface edu.stanford.nlp.graph.Graph
-
- getOutEdgesSorted(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- getOuterMapFactory() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- getOuterMapFactory() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- getOutgoingEdges(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- getOutgoingEdges(V) - Method in interface edu.stanford.nlp.graph.Graph
-
for undirected graph, it is just the edges from the node
- getOutput() - Method in class edu.stanford.nlp.fsm.DFSATransition
-
- getOutput() - Method in class edu.stanford.nlp.optimization.CmdEvaluator
-
- getOutputEncoding() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Returns the output encoding being used.
- getOutputEncoding() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
Returns the output encoding being used.
- getOutputFile() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getOutputFormat() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getOutputLemmas() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getOutputOptions() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getOutputOptionsContains(String) - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getOutputStream() - Method in class edu.stanford.nlp.util.ByteStreamGobbler
-
- getOutputVerbosity() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getOverlapping(T) - Method in class edu.stanford.nlp.util.IntervalTree
-
- getOverlapping(IntervalTree.TreeNode<E, T>, E) - Static method in class edu.stanford.nlp.util.IntervalTree
-
- getOverlapping(IntervalTree.TreeNode<E, T>, Interval<E>) - Static method in class edu.stanford.nlp.util.IntervalTree
-
- getOverlapping(IntervalTree.TreeNode<E, T>, E, List<T>) - Static method in class edu.stanford.nlp.util.IntervalTree
-
- getOverlapping(IntervalTree.TreeNode<E, T>, Interval<E>, List<T>) - Static method in class edu.stanford.nlp.util.IntervalTree
-
- getPad() - Method in class edu.stanford.nlp.util.PaddedList
-
- getParamDesc() - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.BooleanFunction
-
- getParamDesc() - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.CompareFunction
-
- getParamDesc() - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NamedValueFunction
-
- getParamDesc(String, int) - Static method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NamedValueFunction
-
- getParamDesc() - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericFunction
-
- getParamDesc() - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.StringFunction
-
- getParamDesc() - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.TypeCheckedFunction
-
- getParent(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Return the real syntactic parent of vertex.
- getParent() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
-
Returns the parent of this GrammaticalRelation
.
- getParentList(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- getParents(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- getParents(V) - Method in interface edu.stanford.nlp.graph.Graph
-
for undirected graph, it is just the neighbors
- getParents(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- getParentsWithReln(IndexedWord, GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns a set of all parents bearing a certain grammatical relation, or an
empty set if none.
- getParentsWithReln(IndexedWord, String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns a set of all parents bearing a certain grammatical relation, or an
empty set if none.
- getPartial(Instant, Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- getPathToRoot(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Find the path from the given node to a root.
- getPattern() - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.SequenceRegexPattern
-
- getPattern() - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.StringAnnotationRegexPattern
-
- getPattern(String[]) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
- getPattern(String) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
- getPatternExpr() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- getPercentCorrect() - Method in class edu.stanford.nlp.parser.nndep.Classifier.Cost
-
- getPeriod() - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
-
- getPeriod() - Method in class edu.stanford.nlp.time.SUTime.Duration
-
- getPeriod() - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- getPeriod() - Method in class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
-
- getPeriod() - Method in enum edu.stanford.nlp.time.SUTime.StandardTemporalType
-
- getPeriod() - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- getPeriod() - Method in enum edu.stanford.nlp.time.SUTime.TimeUnit
-
- getPerturbedDistribution(Counter<E>, Random) - Static method in class edu.stanford.nlp.stats.Distribution
-
- getPerturbedUniformDistribution(Collection<E>, Random) - Static method in class edu.stanford.nlp.stats.Distribution
-
- getPhrase() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseMatch
-
- getPID() - Static method in class edu.stanford.nlp.util.SystemUtils
-
Returns the process ID, via an awful hack.
- getPIDNoExceptions() - Static method in class edu.stanford.nlp.util.SystemUtils
-
Returns the process ID, via an awful hack, or else -1.
- getPOS(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
- getPOSDistribution() - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- getPosID(String) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
-
- getPositions(FeatureKey) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
-
- getPosSet() - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
-
Return the set of part-of-speech tags of this parser.
- getPossibleValues(int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- getPossibleValues(int) - Method in class edu.stanford.nlp.ie.crf.TestSequenceModel
-
- getPossibleValues(int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
-
- getPossibleValues(int) - Method in class edu.stanford.nlp.sequences.FactoredSequenceModel
-
Return the valid sequence labels (as integer indices) for a particular
position in the sequence.
- getPossibleValues(int) - Method in interface edu.stanford.nlp.sequences.SequenceModel
-
Return the valid sequence labels (as integer indices) for a particular
position in the sequence.
- getPossibleValues(int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- getPrecision(L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
- getPrecision() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
- getPrecisionDescription(int) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
Returns a String summarizing precision that will print nicely.
- getPrecisionDescription(int, L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
- getPrecisionInfo(L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
Returns the current precision: tp/(tp+fp).
- getPrecisionInfo() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
- getPrefixesAndSuffixes(List<T>, int, int, T, boolean, boolean) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Get all prefix/suffix combinations from a list.
- getPrep(String) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "prep" grammatical relation.
- getPrepC(String) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "prepc" grammatical relation.
- getPreps() - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
- getPrepsC() - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
- getPreTerminal(Tree, int) - Static method in class edu.stanford.nlp.trees.Trees
-
gets the n
th preterminal in tree
.
- getPrintWriter(File) - Static method in class edu.stanford.nlp.io.IOUtils
-
- getPrintWriter(File, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
- getPrintWriter(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
- getPrintWriter(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
- getPrintWriterIgnoringExceptions(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
- getPrintWriterOrDie(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
- getPriority() - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- getPriority() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- getPriority() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
Gets the priority of the highest-priority element of the queue
(without modifying the queue).
- getPriority(E) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
Get the priority of a key.
- getPriority(Object) - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
Note that this method will be linear (not constant) time in this
implementation! Better not to use it.
- getPriority() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
Gets the priority of the highest-priority element of the queue.
- getPriority() - Method in interface edu.stanford.nlp.util.PriorityQueue
-
Gets the priority of the highest-priority element of the queue
(without modifying the queue).
- getPriority(E) - Method in interface edu.stanford.nlp.util.PriorityQueue
-
Get the priority of a key.
- getPriorType(String) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- getPriorType(String) - Static method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
-
- getPriorType(String) - Static method in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
-
- getProbabilities() - Method in class edu.stanford.nlp.stats.SimpleGoodTuring
-
Returns the probabilities allocated to each type, according to their count
in the underlying collection.
- getProbabilityForUnseen() - Method in class edu.stanford.nlp.stats.SimpleGoodTuring
-
Returns the probability allocated to types not seen in the underlying
collection.
- getPronouns() - Method in class edu.stanford.nlp.international.spanish.SpanishVerbStripper.StrippedVerb
-
- getPunctClass(String) - Static method in class edu.stanford.nlp.parser.tools.PunctEquivalenceClasser
-
Return the equivalence class of the argument.
- getRadical(char) - Static method in class edu.stanford.nlp.trees.international.pennchinese.RadicalMap
-
What is the primary radical of this char?
- getRadius(Interval<Integer>) - Static method in class edu.stanford.nlp.util.Interval
-
- getRandomSequence(SequenceModel) - Static method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
-
- getRandomSubDataset(double, int) - Method in class edu.stanford.nlp.classify.Dataset
-
- getRandomSubList(List<T>, int) - Static method in class edu.stanford.nlp.parser.nndep.Util
-
- getRange(int, SUTime.Duration) - Method in class edu.stanford.nlp.time.JollyDayHolidays.JollyHoliday
-
- getRange(int, SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
-
- getRange(int, SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Duration
-
- getRange(int, SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.ExplicitTemporalSet
-
- getRange(int, SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
-
- getRange(int, SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.InexactTime
-
- getRange(int, SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- getRange(int, SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
-
- getRange(int, SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Range
-
- getRange(int, SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
-
- getRange() - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- getRange(int) - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- getRange(int, SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- getRange(int, SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Time
-
- getRange(int, SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.TimeWithRange
-
- getRange() - Method in class edu.stanford.nlp.time.Timex
-
Gets two Calendars, marking the beginning and ending of this Timex's range.
- getRange(Timex) - Method in class edu.stanford.nlp.time.Timex
-
Gets two Calendars, marking the beginning and ending of this Timex's range.
- getRareWordMinFeatureThresh() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getRareWordThresh() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getRecall(L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
- getRecall() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
- getRecallDescription(int) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
Returns a String summarizing precision that will print nicely.
- getRecallDescription(int, L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
- getRecallInfo(L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
- getRecallInfo() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
- getRegex(String[]) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
- getRegex(String) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
- getRegL1() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getRegularizerParamRange(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
-
- getRegularizerParamRange(double[]) - Method in interface edu.stanford.nlp.optimization.HasRegularizerParamRange
-
- getRelatedNodes(TreeGraphNode, TreeGraphNode, HeadFinder) - Method in class edu.stanford.nlp.trees.GrammaticalRelation
-
Given a Tree
node t
, attempts to
return a list of nodes to which node t
has this
grammatical relation, with t
as the governor.
- getRelation() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
-
- getRelation(Interval<E>) - Method in class edu.stanford.nlp.util.FuzzyInterval
-
- getRelation(Interval<E>) - Method in class edu.stanford.nlp.util.Interval
-
Returns the relationship of this interval to the other interval
The most specific relationship from the following is returned.
- getRelationFlags(Interval<E>) - Method in class edu.stanford.nlp.util.FuzzyInterval
-
- getRelationFlags(Interval<E>) - Method in class edu.stanford.nlp.util.Interval
-
Return set of flags indicating possible relationships between
this interval and another interval.
- getRelationNames() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
-
Returns the set of names for named relations in this pattern.
- getRelevant(L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- getRelevant() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- getRelnString(String) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
-
- getReservedMass() - Method in class edu.stanford.nlp.stats.Distribution
-
- getRetrieved(L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- getRetrieved() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- getReverseMap() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
Returns a reversed map of the current map.
- getRightChild(int, int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
- getRightChild(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
- getRightLabelSet(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
- getRightmostNode(IntervalTree.TreeNode<E, T>) - Method in class edu.stanford.nlp.util.IntervalTree
-
- getRightValency(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
- getRoots() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- getRoots(Collection<TypedDependency>) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Return a list of TypedDependencies which are not dependent on any node from the list.
- getRVFDatum(int) - Method in class edu.stanford.nlp.classify.Dataset
-
- getRVFDatum(int) - Method in class edu.stanford.nlp.classify.GeneralDataset
-
- getRVFDatum(int) - Method in class edu.stanford.nlp.classify.RVFDataset
-
- getRVFDatumId(int) - Method in class edu.stanford.nlp.classify.RVFDataset
-
- getRVFDatumSource(int) - Method in class edu.stanford.nlp.classify.RVFDataset
-
- getRVFDatumWithId(int) - Method in class edu.stanford.nlp.classify.RVFDataset
-
- getSample(int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
-
Gets a random sample (this is sampling with replacement).
- getSampler(List<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- getScore() - Method in class edu.stanford.nlp.semgraph.semgrex.Alignment
-
- getScorer() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
- getSearch() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getSecondKey() - Method in class edu.stanford.nlp.util.TwoDimensionalMap.Entry
-
- getSegmenterDataFromFile(String, Options) - Static method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- getSegmenterDataFromSerializedFile(String) - Static method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- getSentAveF1() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- getSentenceDelimiter() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
This returns the sentence delimiter used when tokenizing text
using the tokenizer requested in this config.
- getSentenceSize() - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
- getSequenceMatchResultExtractor() - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- getSequenceModel(List<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- getSequenceModel(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- getSequenceModel(List<IN>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- getSequencePatternExpr(String, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- getSGML() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getShortClassName(Object) - Static method in class edu.stanford.nlp.util.StringUtils
-
Returns a short class name for an object.
- getShortestDirectedPathEdges(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- getShortestDirectedPathNodes(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns the shortest directed path between two edges in the graph.
- getShortestPath(Graph<V, E>, V, V, boolean) - Static method in class edu.stanford.nlp.graph.DijkstraShortestPath
-
- getShortestPath(V, V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
direction insensitive (the paths can go "up" or through the parents)
- getShortestPath(V, V, boolean) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
can specify the direction sensitivity
- getShortestPathEdges(V, V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- getShortestPathEdges(V, V, boolean) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- getShortestUndirectedPathEdges(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- getShortestUndirectedPathNodes(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns the nodes in the shortest undirected path between two edges in the
graph.
- getShortName() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
-
- getSiblings(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Method for getting the siblings of a particular node.
- getSigma() - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
- getSigma() - Method in class edu.stanford.nlp.classify.LogPrior
-
- getSigmaSquared() - Method in class edu.stanford.nlp.classify.LogPrior
-
- getSigmaSquared() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getSigmaSquaredM() - Method in class edu.stanford.nlp.classify.LogPrior
-
- getSignature(String, int) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel
-
This routine returns a String that is the "signature" of the class of a
word.
- getSignature(String, Properties, PropertiesUtils.Property[]) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
- getSignature(String, Properties) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
- getSignatureIndex(int, int, String) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel
-
Returns an unknown word signature as an integer index rather than as a String.
- getSize() - Method in class edu.stanford.nlp.tagger.maxent.ReadDataTagged
-
Returns the number of tokens in the data read, which is the number of words
plus one end sentence token per sentence.
- getSize() - Method in class edu.stanford.nlp.tagger.maxent.TTags
-
- getSmallerLabel(int) - Method in class edu.stanford.nlp.ie.crf.CRFLabel
-
- getSortedEntries(Properties) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
- getSource() - Method in class edu.stanford.nlp.fsm.DFSATransition
-
- getSource() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
-
- getSource() - Method in class edu.stanford.nlp.util.IntPair
-
Return the first element of the pair
- getSource() - Method in class edu.stanford.nlp.util.IntQuadruple
-
- getSource() - Method in class edu.stanford.nlp.util.IntTriple
-
- getSource() - Method in class edu.stanford.nlp.util.IntUni
-
- getSpan() - Method in class edu.stanford.nlp.trees.Tree
-
Returns SpanAnnotation of this node, or null if annotation is not assigned.
- getSpecific() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
-
- getSplitCategories(Treebank, double, TreebankLanguagePack) - Static method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
-
Call this method to get a String array of categories to split on.
- getSplitCategories(Treebank, boolean, int, double, double, TreebankLanguagePack) - Static method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
-
Call this method to get a String array of categories to split on.
- getStack(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
Get the sentence index of the kth word on the stack.
- getStackSize() - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
- getStackTraceString(Throwable) - Static method in class edu.stanford.nlp.util.SystemUtils
-
Returns the string value of the stack trace for the given Throwable.
- getStandardTemporalType() - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- getStartDate() - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
Returns this date or if it is a range,
the date the range starts.
- getStem() - Method in class edu.stanford.nlp.international.spanish.SpanishVerbStripper.StrippedVerb
-
Return the normalized stem of the verb -- the way it would appear in
isolation without attached pronouns.
- getStopProb(IntDependency) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
Return the probability (as a real number between 0 and 1) of stopping
rather than generating another argument at this position.
- getStr() - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
- getString(Class<KEY>) - Method in interface edu.stanford.nlp.ling.AbstractCoreLabel
-
Return a non-null String value for a key.
- getString(Class<KEY>, String) - Method in interface edu.stanford.nlp.ling.AbstractCoreLabel
-
- getString(Class<KEY>) - Method in class edu.stanford.nlp.ling.CoreLabel
-
Return a non-null String value for a key.
- getString(Class<KEY>, String) - Method in class edu.stanford.nlp.ling.CoreLabel
-
- getString(Class<KEY>) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- getString(Class<KEY>, String) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- getString() - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.StringAnnotationPattern
-
- getString(Properties, String, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Get the value of a property.
- getStringArray(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Loads a comma-separated list of strings from Properties.
- getStringArray(Properties, String, String[]) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
- getStringMatchResultExtractor() - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- getStringPattern(String) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- getStringRepresentationComparator() - Static method in class edu.stanford.nlp.util.Comparators
-
A Comparator
that compares objects by comparing their
String
representations, as determined by invoking
toString()
on the objects in question.
- getSubgraphVertices(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns all nodes reachable from root
.
- getSubListIndex(Object[], Object[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- getSubListIndex(Object[], Object[], Predicate<Pair>) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
If tofind is a part of tokens, it finds the ****starting index***** of tofind in tokens
If tofind is not a sub-array of tokens, then it returns null
note that tokens sublist should have the exact elements and order as in tofind
- getSupportedDurationFields(Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- getSvmLightVerbosity() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
- getSymbol() - Method in enum edu.stanford.nlp.time.SUTime.TimexMod
-
- getSystemFreeMemory(boolean) - Method in class edu.stanford.nlp.util.MemoryMonitor
-
- getSystemSwapsPerSec() - Method in class edu.stanford.nlp.util.MemoryMonitor
-
- getSystemUsedSwap() - Method in class edu.stanford.nlp.util.MemoryMonitor
-
- getTag(String) - Method in class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification.ArabicMorphoFeatures
-
- getTag(String) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
-
Build a POS tag consisting of a base category plus inflectional features.
- getTag() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.Phrase
-
- getTag(String) - Method in class edu.stanford.nlp.ling.tokensregex.types.Tags
-
- getTag(String, String) - Static method in class edu.stanford.nlp.tagger.maxent.ASBCunkDict
-
- getTag(String, String) - Static method in class edu.stanford.nlp.tagger.maxent.CTBunkDict
-
Returns "1" as true if the dictionary listed this word with this tag,
and "0" otherwise.
- getTag(int) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- getTag(int) - Method in class edu.stanford.nlp.tagger.maxent.TTags
-
- getTagElementsFromFile(File, String) - Static method in class edu.stanford.nlp.util.XMLUtils
-
Returns the text content of all nodes in the given file with the given tag.
- getTagElementTriplesFromFile(File, String) - Static method in class edu.stanford.nlp.util.XMLUtils
-
Returns the elements in the given file with the given tag associated with
the text content of the two previous siblings and two next siblings.
- getTagElementTriplesFromFileNumBounded(File, String, int) - Static method in class edu.stanford.nlp.util.XMLUtils
-
Returns the elements in the given file with the given tag associated with
the text content of the previous and next siblings up to max numIncludedSiblings.
- getTagElementTriplesFromFileNumBoundedSAXException(File, String, int) - Static method in class edu.stanford.nlp.util.XMLUtils
-
Returns the elements in the given file with the given tag associated with
the text content of the previous and next siblings up to max numIncludedSiblings.
- getTagElementTriplesFromFileSAXException(File, String) - Static method in class edu.stanford.nlp.util.XMLUtils
-
Returns the elements in the given file with the given tag associated with
the text content of the two previous siblings and two next siblings.
- getTaggerFeatures() - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
-
- getTagIndex(String) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Will return the index of a tag if known, -1 if not already known
- getTagInside() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
Return a regex of XML elements to tag inside of.
- getTagPre(String, String) - Static method in class edu.stanford.nlp.tagger.maxent.CtbDict
-
- getTags() - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
Returns the Set of entities recognized by this Classifier.
- getTags() - Method in interface edu.stanford.nlp.ling.tokensregex.types.Expression
-
Returns tags associated with this expression.
- getTags() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.TypedExpression
-
- getTags() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.WrappedExpression
-
- getTags() - Method in class edu.stanford.nlp.ling.tokensregex.types.Tags
-
- getTags(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
-
- getTagSeparator(Properties) - Static method in class edu.stanford.nlp.tagger.io.TaggedFileRecord
-
- getTagSeparator() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getTagSuf(String, String) - Static method in class edu.stanford.nlp.tagger.maxent.CtbDict
-
- getTagType(String) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
-
- getTarget() - Method in class edu.stanford.nlp.fsm.DFSATransition
-
- getTarget() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
-
- getTarget() - Method in class edu.stanford.nlp.util.IntPair
-
Return the second element of the pair
- getTarget() - Method in class edu.stanford.nlp.util.IntQuadruple
-
- getTarget() - Method in class edu.stanford.nlp.util.IntTriple
-
- getTarget2() - Method in class edu.stanford.nlp.util.IntQuadruple
-
- getTargets() - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.StringInSetAnnotationPattern
-
- getTemperature(int) - Method in class edu.stanford.nlp.sequences.CoolingSchedule
-
- getTemporal(String) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- getTemporal(int) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- getTemporal() - Method in class edu.stanford.nlp.time.TimeExpression
-
- getTemporalArg() - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
-
- getTemporalExpr(String) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- getTemporalExpr(int) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- getTemporalFunc(int) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- getTemporalOp() - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
-
- getTerminal(Tree, int) - Static method in class edu.stanford.nlp.trees.Trees
-
gets the n
th terminal in tree
.
- getText() - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- getText() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.Phrase
-
- getText(Label) - Method in class edu.stanford.nlp.trees.UnnamedDependency
-
- getTextContentFromTagsFromFile(File, String) - Static method in class edu.stanford.nlp.util.XMLUtils
-
Returns the text content of all nodes in the given file with the given tag.
- getTextPattern() - Method in class edu.stanford.nlp.time.TimeFormatter.CustomDateFormatExtractor
-
- getTfid(SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- getTfidString(SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- getTid(SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- getTidString(SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- getTime() - Method in class edu.stanford.nlp.time.JollyDayHolidays.JollyHoliday
-
- getTime() - Method in class edu.stanford.nlp.time.SUTime.Duration
-
- getTime() - Method in class edu.stanford.nlp.time.SUTime.ExplicitTemporalSet
-
- getTime() - Method in class edu.stanford.nlp.time.SUTime.InexactTime
-
- getTime() - Method in class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
-
- getTime() - Method in class edu.stanford.nlp.time.SUTime.Range
-
- getTime() - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- getTime() - Method in class edu.stanford.nlp.time.SUTime.Time
-
- getTimeLabel() - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- getTimestampString(String) - Static method in class edu.stanford.nlp.util.SystemUtils
-
Returns a String representing the current date and time in the given
format.
- getTimestampString() - Static method in class edu.stanford.nlp.util.SystemUtils
-
Returns a String representing the current date and time in the format
"20071022-140522".
- getTimexAttributes(SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
-
- getTimexAttributes(SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.SUTime.Range
-
- getTimexAttributes(SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
-
- getTimexAttributes(SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- getTimexType() - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
-
- getTimexType() - Method in class edu.stanford.nlp.time.SUTime.Duration
-
- getTimexType() - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- getTimexType() - Method in class edu.stanford.nlp.time.SUTime.Range
-
- getTimexType() - Method in enum edu.stanford.nlp.time.SUTime.StandardTemporalType
-
- getTimexType() - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- getTimexType() - Method in class edu.stanford.nlp.time.SUTime.TemporalSet
-
- getTimexType() - Method in class edu.stanford.nlp.time.SUTime.Time
-
- getTimexValue() - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- getToken(int) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
Get the specific Token.
- getTokenBegin() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseMatch
-
- getTokenEnd() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseMatch
-
- getTokenize() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getTokenizer(Reader) - Method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer.ArabicTokenizerFactory
-
- getTokenizer(Reader, String) - Method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer.ArabicTokenizerFactory
-
- getTokenizer(Reader) - Method in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
-
- getTokenizer(Reader, String) - Method in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
-
- getTokenizer(Reader) - Method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
-
- getTokenizer(Reader, String) - Method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
-
- getTokenizer(Reader) - Method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
-
Returns a tokenizer wrapping the given Reader.
- getTokenizer(Reader, String) - Method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
-
- getTokenizer(Reader) - Method in interface edu.stanford.nlp.process.TokenizerFactory
-
Get a tokenizer for this reader.
- getTokenizer(Reader, String) - Method in interface edu.stanford.nlp.process.TokenizerFactory
-
Get a tokenizer for this reader.
- getTokenizer(Reader) - Method in class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
-
- getTokenizer(Reader, String) - Method in class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
-
- getTokenizer(Reader) - Method in class edu.stanford.nlp.trees.TreeTokenizerFactory
-
Gets a tokenizer from a reader.
- getTokenizer(Reader, String) - Method in class edu.stanford.nlp.trees.TreeTokenizerFactory
-
- getTokenizerFactory() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getTokenizerFactory() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Return a tokenizer which might be suitable for tokenizing text that
will be used with this Treebank/Language pair, without tokenizing carriage returns (i.e., treating them as white space).
- getTokenizerFactory() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
-
Return a tokenizer which might be suitable for tokenizing text
that will be used with this Treebank/Language pair.
- getTokenizerFactory() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
-
- getTokenizerFactory() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
Return a tokenizer which might be suitable for tokenizing text that
will be used with this Treebank/Language pair, without tokenizing carriage
returns (i.e., treating them as white space).
- getTokenizerFactory() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- getTokenizerFactory() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
-
Return a tokenizer which might be suitable for tokenizing text that will be used with this
Treebank/Language pair, without tokenizing carriage returns (i.e., treating them as white
space).
- getTokenizerFactory() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
-
- getTokenizerFactory() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Return a tokenizer factory which might be suitable for tokenizing text
that will be used with this Treebank/Language pair.
- getTokenizerInvertible() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getTokenizerOptions() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getTokenOffsets() - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- getTokenText(List<? extends CoreMap>, Class) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
- getTokenText(List<? extends CoreMap>, Class, String) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
- getTopFeatures(double, boolean, int) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Returns list of top features with weight above a certain threshold
(list is descending and across all labels).
- getTopFeatures(Set<L>, double, boolean, int, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Returns list of top features with weight above a certain threshold
- getTopFeaturesLabelIndices(Set<Integer>, double, boolean, int, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Returns list of top features with weight above a certain threshold
- getTotalGroups() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- getTransitionID(String) - Method in class edu.stanford.nlp.parser.nndep.ParsingSystem
-
- getTreeDeps(List<TypedDependency>, DirectedMultiGraph<TreeGraphNode, GrammaticalRelation>, Predicate<TypedDependency>, Predicate<TypedDependency>) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Look through the tree t and adds to the List basicDep
additional dependencies which aren't
in the List but which satisfy the filter puncTypedDepFilter.
- getTreeDeps(List<TypedDependency>, DirectedMultiGraph<TreeGraphNode, GrammaticalRelation>, Predicate<TypedDependency>, Predicate<TypedDependency>) - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
-
- getTrees(String, int, int, int, int) - Static method in class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
-
- getTregexPatternFromReader(BufferedReader) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
-
Assumes that we are at the beginning of a tsurgeon script file and gets the string for the
tregex pattern leading the file.
- getTriggeredPatterns(List<? extends T>) - Method in class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher
-
Given a sequence, return the collection of patterns that are triggered by the sequence
(these patterns are the ones that may potentially match a subsequence in the sequence)
- getTsurgeonOperationsFromReader(BufferedReader) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
-
Assumes the given reader has only tsurgeon operations (not a tregex pattern), and parses
these out, collecting them into one operation.
- getTsurgeonTextFromReader(BufferedReader) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
-
Assumes the given reader has only tsurgeon operations (not a tregex pattern), and returns
them as a String, mirroring the way the strings appear in the file.
- getTuneCV() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
- getTuneHeldOut() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
- getTuneMinimizer() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
- getType(String) - Static method in class edu.stanford.nlp.classify.LogPrior
-
- getType() - Method in class edu.stanford.nlp.classify.LogPrior
-
- getType() - Method in interface edu.stanford.nlp.ling.CoreAnnotation
-
Returns the type associated with this annotation.
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AbbrAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AbgeneAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AbstrAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AfterAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AnswerAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AnswerObjectAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AnswerProbAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AntecedentAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ArabicCharAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ArabicSegAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ArgDescendentAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ArgumentAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AuthorAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.BagOfWordsAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.BeAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.BeforeAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.BeginIndexAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.BestCliquesAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.BestFullAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CalendarAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CanonicalEntityMentionIndexAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CategoryAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CategoryFunctionalTagAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetBeginAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetEndAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CharAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ChineseCharAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ChineseIsSegmentedAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ChineseOrigSegAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ChineseSegAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ChunkAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoarseNamedEntityTagAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoarseTagAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CodepointOffsetBeginAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CodepointOffsetEndAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ColumnDataClassifierAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CommonWordsAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepParentIndexAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepTypeAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoNLLPredicateAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoNLLSRLAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoNLLUFeats
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoNLLUMisc
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoNLLUSecondaryDepsAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoNLLUTokenSpanAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ContextsAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CorefMentionToEntityMentionMappingAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CostMagnificationAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CovertIDAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.D2_LBeginAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.D2_LEndAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.D2_LMiddleAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DayAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DependentsAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DictAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DistSimAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DoAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DocDateAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DocIDAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DocSourceTypeAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DocTitleAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DocTypeAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DomainAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.EndIndexAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.EntityClassAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.EntityMentionIndexAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.EntityMentionToCorefMentionMappingAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.EntityRuleAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.EntityTypeAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ExceptionAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.FeaturesAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.FemaleGazAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.FineGrainedNamedEntityTagAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.FirstChildAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ForcedSentenceEndAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ForcedSentenceUntilEndAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.FreqAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.GazAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.GazetteerAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.GenderAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.GenericTokensAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.GeniaAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.GoldAnswerAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.GovernorAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.GrandparentAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.HaveAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.HeadWordStringAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.HeightAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.IDAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.IDFAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.INAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.IndexAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.InterpretationAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.IsDateRangeAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.IsFirstWordOfMWTAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.IsMultiWordTokenAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.IsNewlineAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.IsURLAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.KBPTriplesAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LabelAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LabelIDAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LabelWeightAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LastGazAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LastTaggedAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LBeginAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LeftChildrenNodeAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LeftTermAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LemmaAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LEndAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LengthAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LineNumberAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LinkAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LMiddleAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LocationAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MaleGazAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MarkingAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MentionsAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MentionTokenAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MonthAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MorphoCaseAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MorphoGenAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MorphoNumAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MorphoPersAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MWTTokenTextAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NamedEntityTagAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NamedEntityTagProbsAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NeighborsAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NERIDAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NormalizedNamedEntityTagAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NotAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumericCompositeObjectAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumericCompositeTypeAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumericCompositeValueAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumericObjectAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumericTypeAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumericValueAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumerizedTokensAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumTxtSentencesAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.OriginalCharAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.OriginalTextAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ParagraphAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ParagraphIndexAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ParagraphsAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ParaPositionAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ParentAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PartOfSpeechAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PercentAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PhraseWordsAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PhraseWordsTagAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PolarityAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PositionAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PossibleAnswersAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PredictedAnswerAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PresetAnswerAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PrevChildAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PriorAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ProtoAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.QuotationIndexAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.QuotationsAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.QuotedAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.QuotesAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.RoleAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SectionAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SectionAuthorCharacterOffsetBeginAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SectionAuthorCharacterOffsetEndAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SectionDateAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SectionEndAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SectionIDAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SectionIndexAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SectionsAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SectionStartAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SectionTagAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SemanticHeadTagAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SemanticHeadWordAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SemanticTagAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SemanticWordAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SentenceBeginAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SentenceEndAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SentenceIDAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SentenceIndexAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SentencePositionAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SentencesAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ShapeAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SpaceBeforeAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SpanAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SpeakerAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SpeakerTypeAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SRLIDAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SRLInstancesAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.StackedNamedEntityTagAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.StateAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.StatementTextAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.StemAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SubcategorizationAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TagLabelAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TextAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TokenBeginAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TokenEndAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TokensAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TopicAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TrueCaseAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TrueCaseTextAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TrueTagAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.UBlockAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.UnaryAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.UnclosedQuotationsAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.UnknownAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.UseMarkedDiscourseAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.UtteranceAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.UTypeAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ValueAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.VerbSenseAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.WebAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.WikipediaEntityAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.WordFormAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.WordnetSynAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.WordPositionAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.WordSenseAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.XmlContextAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.XmlElementAnnotation
-
- getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.YearAnnotation
-
- getType() - Method in interface edu.stanford.nlp.ling.tokensregex.types.Expression
-
Returns a string indicating the type of this expression.
- getType() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.ConditionalExpression
-
- getType() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.TypedExpression
-
- getType() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.WrappedExpression
-
- getType() - Method in class edu.stanford.nlp.ling.tokensregex.types.Tags.TagsAnnotation
-
- getType() - Method in class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.AlternativeDependenciesAnnotation
-
- getType() - Method in class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.BasicDependenciesAnnotation
-
- getType() - Method in class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.CollapsedCCProcessedDependenciesAnnotation
-
Deprecated.
- getType() - Method in class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.CollapsedDependenciesAnnotation
-
Deprecated.
- getType() - Method in class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.EnhancedDependenciesAnnotation
-
- getType() - Method in class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.EnhancedPlusPlusDependenciesAnnotation
-
- getType() - Method in class edu.stanford.nlp.time.TimeAnnotations.TimexAnnotation
-
- getType() - Method in class edu.stanford.nlp.time.TimeAnnotations.TimexAnnotations
-
- getType() - Method in class edu.stanford.nlp.time.TimeExpression.Annotation
-
- getType() - Method in class edu.stanford.nlp.time.TimeExpression.ChildrenAnnotation
-
- getType() - Method in class edu.stanford.nlp.time.TimeExpression.TimeIndexAnnotation
-
- getType() - Method in class edu.stanford.nlp.trees.TreeCoreAnnotations.BinarizedTreeAnnotation
-
- getType() - Method in class edu.stanford.nlp.trees.TreeCoreAnnotations.HeadTagLabelAnnotation
-
- getType() - Method in class edu.stanford.nlp.trees.TreeCoreAnnotations.HeadWordLabelAnnotation
-
- getType() - Method in class edu.stanford.nlp.trees.TreeCoreAnnotations.KBestTreesAnnotation
-
- getType() - Method in class edu.stanford.nlp.trees.TreeCoreAnnotations.TreeAnnotation
-
- getTypedDependencyChains(List<TypedDependency>, int) - Static method in class edu.stanford.nlp.trees.Dependencies
-
- getTypeName(Class) - Static method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NamedValueFunction
-
- getUAS(List<CoreMap>, List<DependencyTree>, List<DependencyTree>) - Method in class edu.stanford.nlp.parser.nndep.ParsingSystem
-
- getUASnoPunc(List<CoreMap>, List<DependencyTree>, List<DependencyTree>) - Method in class edu.stanford.nlp.parser.nndep.ParsingSystem
-
- getUncertaintyGranularity() - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- getUniformDistribution(Collection<E>) - Static method in class edu.stanford.nlp.stats.Distribution
-
- getUnknownLevel() - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel
-
Get the level of equivalence classing for the model.
- getUnknownWordModel() - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- getUnknownWordModel() - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- getUnknownWordModel() - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- getUnknownWordModel() - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
- getUnsupportedDurationPeriod(Partial, Period) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- getURL() - Method in class edu.stanford.nlp.ie.crf.NERGUI
-
- getUrlEncoding(URLConnection) - Static method in class edu.stanford.nlp.io.IOUtils
-
- getUsedMemory() - Method in class edu.stanford.nlp.util.MemoryMonitor
-
- getUsedMemory(boolean) - Method in class edu.stanford.nlp.util.MemoryMonitor
-
- getUsedMemoryStatic() - Static method in class edu.stanford.nlp.util.MemoryMonitor
-
- getUsedMemoryStatic(Runtime) - Static method in class edu.stanford.nlp.util.MemoryMonitor
-
- getUsedMemoryString() - Static method in class edu.stanford.nlp.util.MemoryMonitor
-
- getUseSigma() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
Get whether or not to train an overlying platt (sigmoid)
model for producing meaningful probabilities.
- getval() - Method in class edu.stanford.nlp.math.DoubleAD
-
- getVal(int) - Method in class edu.stanford.nlp.maxent.Feature
-
Get the value at the index-ed non zero value pair (x,y)
- getVal(int, int) - Method in class edu.stanford.nlp.maxent.Feature
-
This is rarely used because it is slower and requires initHashVals() to be called beforehand
to initialize the hashValues.
- getVal(int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
-
- getVal(int, int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
-
- getValidatingXmlParser(File) - Static method in class edu.stanford.nlp.util.XMLUtils
-
Returns a validating XML parser given an XSD (not DTD!).
- getValue(int) - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
- getValue(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
- getValue(int[]) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
-
- getValue(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
-
- getValue() - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.IntegerAnnotationPattern
-
- getValue(String) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
-
- getValue() - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- getValue(String) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
-
- getValue() - Method in class edu.stanford.nlp.util.TwoDimensionalMap.Entry
-
- getValue() - Method in class edu.stanford.nlp.util.ValuedInterval
-
- getValues(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification
-
- getValues(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.french.FrenchMorphoFeatureSpecification
-
- getValues(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
-
- getValuesArray() - Method in class edu.stanford.nlp.classify.Dataset
-
- getValuesArray() - Method in class edu.stanford.nlp.classify.GeneralDataset
-
- getValuesArray() - Method in class edu.stanford.nlp.classify.RVFDataset
-
- getValueType(Class<? extends CoreAnnotation<?>>) - Static method in class edu.stanford.nlp.ling.AnnotationLookup
-
Returns the runtime value type associated with the given key.
- getVariables() - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- getVariableString(String) - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
-
If there is a current match, and that match involves setting this
particular variable string, this returns that string.
- getVariance(double[]) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
-
- getVariance(double[], int) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
-
- getVerbose() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getVerboseResults() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getVeryCommonWordThresh() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getW1() - Method in class edu.stanford.nlp.parser.nndep.Classifier
-
- getW2() - Method in class edu.stanford.nlp.parser.nndep.Classifier
-
- getWeight() - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- getWeight() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- getWeight() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
-
- getWeightIndices() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- getWeights() - Method in class edu.stanford.nlp.classify.WeightedDataset
-
- getWeights() - Method in class edu.stanford.nlp.classify.WeightedRVFDataset
-
Get the weight array for this dataset.
- getWeights(String) - Static method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
-
- getWord(int) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.StringList
-
- getWord(int) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.TokenList
-
- getWord(int) - Method in interface edu.stanford.nlp.ling.tokensregex.PhraseTable.WordList
-
- getWord(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
- getWord(CoreLabel) - Method in class edu.stanford.nlp.sequences.FeatureFactory
-
Convenience methods for subclasses which use CoreLabel.
- getWord() - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClass
-
- getWord() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
-
- getWordFunction() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getWordID(String) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
-
Get an integer ID for the given word.
- getWordList() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.Phrase
-
- getWrappedList() - Method in class edu.stanford.nlp.util.PaddedList
-
Deprecated.
- getX(int) - Method in class edu.stanford.nlp.maxent.Feature
-
- getX() - Method in class edu.stanford.nlp.tagger.maxent.History
-
- getX(int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
-
- getXMLInput() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getXmlParser() - Static method in class edu.stanford.nlp.util.XMLUtils
-
Returns a non-validating XML parser.
- getXValues(Pair<Integer, String>) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
-
- getY() - Method in class edu.stanford.nlp.maxent.DataGeneric
-
- getY(int) - Method in class edu.stanford.nlp.maxent.Feature
-
- getY() - Method in class edu.stanford.nlp.tagger.maxent.DataWordTag
-
- getY(int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
-
- getYear() - Method in class edu.stanford.nlp.time.SUTime.IsoDate
-
- getYInd() - Method in class edu.stanford.nlp.tagger.maxent.DataWordTag
-
- getYTag() - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
-
- getYYEOF() - Method in interface edu.stanford.nlp.io.Lexer
-
returns value for YYEOF
- gfCharacter - Variable in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Default character for indicating that something is a grammatical fn; probably should be overridden by
lang specific ones
- globalIntern(T) - Static method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
-
Returns a unique object o' that .equals the argument o.
- globalIntern(T) - Static method in class edu.stanford.nlp.util.Interner
-
Returns a unique object o' that .equals the argument o.
- globalMutex - Static variable in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
-
- GOES_WITH - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "goes with" grammatical relation.
- GOES_WITH - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "goes with" grammatical relation.
- GoldAnswerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GoldAnswerAnnotation
-
- GoldenSectionLineSearch - Class in edu.stanford.nlp.optimization
-
A class to do golden section line search.
- GoldenSectionLineSearch(double, double, double) - Constructor for class edu.stanford.nlp.optimization.GoldenSectionLineSearch
-
- GoldenSectionLineSearch(double, double, double, boolean) - Constructor for class edu.stanford.nlp.optimization.GoldenSectionLineSearch
-
- GoldenSectionLineSearch(boolean) - Constructor for class edu.stanford.nlp.optimization.GoldenSectionLineSearch
-
- GoldenSectionLineSearch(boolean, double, double, double) - Constructor for class edu.stanford.nlp.optimization.GoldenSectionLineSearch
-
- GoldenSectionLineSearch(boolean, double, double, double, boolean) - Constructor for class edu.stanford.nlp.optimization.GoldenSectionLineSearch
-
- goodTuringSmoothedCounter(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Distribution
-
Creates a Good-Turing smoothed Distribution from the given counter.
- goodTuringWithExplicitUnknown(Counter<E>, E) - Static method in class edu.stanford.nlp.stats.Distribution
-
Creates a Good-Turing smoothed Distribution from the given counter without
creating any reserved mass-- instead, the special object UNK in the counter
is assumed to be the count of "UNSEEN" items.
- gov() - Method in class edu.stanford.nlp.trees.TypedDependency
-
- governor() - Method in interface edu.stanford.nlp.trees.Dependency
-
Describes the governor (regent/head) of the dependency relation.
- GOVERNOR - Static variable in class edu.stanford.nlp.trees.GrammaticalRelation
-
The "governor" grammatical relation, which is the inverse of "dependent".
- governor() - Method in class edu.stanford.nlp.trees.UnnamedDependency
-
- GovernorAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GovernorAnnotation
-
- govToDepMap(List<TypedDependency>) - Static method in class edu.stanford.nlp.trees.Dependencies
-
- gPA - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
This variable controls doing 2 levels of parent annotation.
- gpaAD - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Grandparent annotate all AD.
- gpaRootVP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Grand-parent annotate (root mark) VP below ROOT.
- grad - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- gradientCheck() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
-
- gradientCheck(int, int, double[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
-
- gradientDebug - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- gradientsOnly - Variable in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
-
- gradList - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- gradPerturbed - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
- GrammaticalRelation - Class in edu.stanford.nlp.trees
-
GrammaticalRelation
is used to define a
standardized, hierarchical set of grammatical relations,
together with patterns for identifying them in
parse trees.
- GrammaticalRelation(Language, String, String, GrammaticalRelation, String, TregexPatternCompiler, String...) - Constructor for class edu.stanford.nlp.trees.GrammaticalRelation
-
- GrammaticalRelation(Language, String, String, GrammaticalRelation) - Constructor for class edu.stanford.nlp.trees.GrammaticalRelation
-
- GrammaticalRelation(Language, String, String, GrammaticalRelation, String) - Constructor for class edu.stanford.nlp.trees.GrammaticalRelation
-
- GrammaticalStructure - Class in edu.stanford.nlp.trees
-
A GrammaticalStructure
stores dependency relations between
nodes in a tree.
- GrammaticalStructure(Tree, Collection<GrammaticalRelation>, Lock, TreeTransformer, HeadFinder, Predicate<String>, Predicate<String>) - Constructor for class edu.stanford.nlp.trees.GrammaticalStructure
-
Create a new GrammaticalStructure, analyzing the parse tree and
populate the GrammaticalStructure with as many labeled
grammatical relation arcs as possible.
- GrammaticalStructure(List<TypedDependency>, TreeGraphNode) - Constructor for class edu.stanford.nlp.trees.GrammaticalStructure
-
- GrammaticalStructure.Extras - Enum in edu.stanford.nlp.trees
-
A specification for the types of extra edges to add to the dependency tree.
- GrammaticalStructureConversionUtils - Class in edu.stanford.nlp.trees
-
Contains several utility methods to convert constituency trees to
dependency trees.
- GrammaticalStructureConversionUtils.ConverterOptions - Enum in edu.stanford.nlp.trees
-
Enum to identify the different TokenizerTypes.
- grammaticalStructureFactory() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Return a GrammaticalStructureFactory suitable for this language/treebank.
- grammaticalStructureFactory(Predicate<String>) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Return a GrammaticalStructureFactory suitable for this language/treebank.
- grammaticalStructureFactory(Predicate<String>, HeadFinder) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Return a GrammaticalStructureFactory suitable for this language/treebank.
- GrammaticalStructureFactory - Interface in edu.stanford.nlp.trees
-
- grammaticalStructureFactory() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- grammaticalStructureFactory(Predicate<String>) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- grammaticalStructureFactory(Predicate<String>, HeadFinder) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- grammaticalStructureFactory() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
-
Return a GrammaticalStructure suitable for this language/treebank.
- grammaticalStructureFactory(Predicate<String>) - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
-
Return a GrammaticalStructure suitable for this language/treebank.
- grammaticalStructureFactory(Predicate<String>, HeadFinder) - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
-
- grammaticalStructureFactory() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Return a GrammaticalStructureFactory suitable for this language/treebank.
- grammaticalStructureFactory(Predicate<String>) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Return a GrammaticalStructureFactory suitable for this language/treebank.
- grammaticalStructureFactory(Predicate<String>, HeadFinder) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Return a GrammaticalStructureFactory suitable for this language/treebank.
- GrammaticalStructureFromDependenciesFactory - Interface in edu.stanford.nlp.trees
-
An interface for a factory that builds a GrammaticalStructure from
a list of TypedDependencies and a TreeGraphNode.
- GrandparentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GrandparentAnnotation
-
- Graph<V,E> - Interface in edu.stanford.nlp.graph
-
- greekifyNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- GREEN - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
-
- GroundedTime(SUTime.Time, ReadableInstant) - Constructor for class edu.stanford.nlp.time.SUTime.GroundedTime
-
- GroundedTime(ReadableInstant) - Constructor for class edu.stanford.nlp.time.SUTime.GroundedTime
-
- group() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- group(int) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- group(String) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- group(String) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
Returns the String
representing the matched group.
- group(Iterable<V>, Comparator<V>) - Static method in class edu.stanford.nlp.util.Iterables
-
Groups consecutive elements from the given iterable based on the value
in the given comparator.
- GROUP_AFTER_MATCH - Static variable in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
- GROUP_BEFORE_MATCH - Static variable in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
- groupByFeatureTemplate - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- groupByHiddenUnit - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- groupByInput - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- groupByOutputClass - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- groupCount() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- groupInfo() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- groupInfo(int) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- groupInfo(String) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- groupInfo(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
- groupInfo() - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
- groupInfo(int) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
- groupInfo(String) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
- GroupMatchReplacement(int) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatcher.GroupMatchReplacement
-
- groupMatchResult(int, int) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- groupMatchResult(String, int) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- groupMatchResult(int, int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
- groupMatchResult(int, int) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
Returns an Object representing the result for the match for a particular node in a group.
- groupMatchResult(String, int) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
Returns an Object representing the result for the match for a particular node in a group.
- groupMatchResults() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- groupMatchResults(int) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- groupMatchResults(String) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- groupMatchResults(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
- groupMatchResults() - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
Returns a list of Objects representing the match results for the entire sequence.
- groupMatchResults(int) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
Returns a list of Objects representing the match results for the nodes in the group.
- groupMatchResults(String) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
Returns a list of Objects representing the match results for the nodes in the group.
- groupNodes() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- groupNodes(int) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- groupNodes(String) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- groupNodes(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
- groupNodes() - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
Returns the entire matched subsequence as a list.
- groupNodes(int) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
Returns the matched group as a list.
- groupNodes(String) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
Returns the matched group as a list.
- GroupPatternExpr(SequencePattern.PatternExpr) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.GroupPatternExpr
-
- GroupPatternExpr(SequencePattern.PatternExpr, boolean) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.GroupPatternExpr
-
- GroupPatternExpr(SequencePattern.PatternExpr, String) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.GroupPatternExpr
-
- GroupToIntervalFunc(int) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchResult.GroupToIntervalFunc
-
- groupValue() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- groupValue(int) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- groupValue(String) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- groupValue(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
- groupValue() - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
Returns the value (some Object) associated with the entire matched sequence.
- groupValue(int) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
Returns the value (some Object) associated with the captured group.
- groupValue(String) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
Returns the value (some Object) associated with the captured group.
- gui() - Method in class edu.stanford.nlp.util.ConfusionMatrix
-
Show the confusion matrix in a GUI.
- id() - Method in class edu.stanford.nlp.ling.RVFDatum
-
- IDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IDAnnotation
-
- IDENTITY_HASH_MAP_FACTORY - Static variable in class edu.stanford.nlp.util.MapFactory
-
- IdentityFunction<X> - Class in edu.stanford.nlp.objectbank
-
An Identity function that returns its argument.
- IdentityFunction() - Constructor for class edu.stanford.nlp.objectbank.IdentityFunction
-
- identityHashMap() - Static method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- identityHashMapCounter() - Static method in class edu.stanford.nlp.stats.ClassicCounter
-
- identityHashMapCounter() - Static method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- identityHashMapFactory() - Static method in class edu.stanford.nlp.util.MapFactory
-
Return a MapFactory that returns an IdentityHashMap.
- IdentityHashSet<E> - Class in edu.stanford.nlp.util
-
This class provides a IdentityHashMap
-backed
implementation of the Set
interface.
- IdentityHashSet() - Constructor for class edu.stanford.nlp.util.IdentityHashSet
-
Construct a new, empty IdentityHashSet whose backing IdentityHashMap
has the default expected maximum size (21);
- IdentityHashSet(int) - Constructor for class edu.stanford.nlp.util.IdentityHashSet
-
Construct a new, empty IdentityHashSet whose backing IdentityHashMap
has the specified expected maximum size.
- IdentityHashSet(Collection<? extends E>) - Constructor for class edu.stanford.nlp.util.IdentityHashSet
-
Construct a new IdentityHashSet with the same elements as the supplied
Collection (eliminating any duplicates, of course); the backing
IdentityHashMap will have the default expected maximum size (21).
- IDFAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IDFAnnotation
-
- IfExpression(Expression, Expression, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.IfExpression
-
- ifrf - Variable in class edu.stanford.nlp.objectbank.ObjectBank
-
- IGNORE - Static variable in interface edu.stanford.nlp.io.Lexer
-
- ignoreCase() - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.AbstractStringAnnotationPattern
-
- ignorePunctuation - Variable in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- ignorePunctuationTokens - Variable in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- imperfectSuffix(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishUnknownWordSignatures
-
- improvedIterative() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Iterate until convergence.
- improvedIterative(int) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Does a fixed number of IIS iterations.
- INAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.INAnnotation
-
- includeC2EViterbi - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- includeFullCRFInLOP - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- includeNested - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- includeNested - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
- includesBegin() - Method in class edu.stanford.nlp.util.Interval
-
Returns whether the start endpoint is included in the interval
- includesEnd() - Method in class edu.stanford.nlp.util.Interval
-
Returns whether the end endpoint is included in the interval
- includeTimexAltValue() - Method in class edu.stanford.nlp.time.SUTime.DurationRange
-
- includeTimexAltValue() - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- incomingEdgeIterable(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- incomingEdgeIterable(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- incomingEdgeIterator(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- incomingEdgeIterator(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- incomingEdgeList(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- increasingLength - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
Parse trees in test treebank in order of increasing length.
- increment(String, String) - Method in class edu.stanford.nlp.ie.crf.LabelDictionary
-
Increment counts for an observation/label pair.
- incrementBatch(int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
incrementBatch will shift the curElement variable to mark the next batch.
- incrementCount(E, double) - Method in class edu.stanford.nlp.stats.AbstractCounter
-
- incrementCount(E) - Method in class edu.stanford.nlp.stats.AbstractCounter
-
- incrementCount(E, double) - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Increments the count for the given key by the given value.
- incrementCount(E) - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Increments the count for this key by 1.0.
- incrementCount(E, double) - Method in interface edu.stanford.nlp.stats.Counter
-
Increments the count for the given key by the given value.
- incrementCount(E) - Method in interface edu.stanford.nlp.stats.Counter
-
Increments the count for this key by 1.0.
- incrementCount(List<K>, K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
equivalent to incrementCount(l,o,1.0).
- incrementCount(List<K>, K, double) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
same as incrementCount(List, double) but as if Object o were at the end of the list
- incrementCount(List<K>) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
Equivalent to incrementCount(l, 1.0).
- incrementCount(List<K>, double) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
- incrementCount(E, int) - Method in class edu.stanford.nlp.stats.IntCounter
-
Adds the given count to the current count for the given key.
- incrementCount(E) - Method in class edu.stanford.nlp.stats.IntCounter
-
Adds 1 to the count for the given key.
- incrementCount(E, double) - Method in class edu.stanford.nlp.stats.IntCounter
-
- incrementCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- incrementCount(K1, K2, double) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- incrementCount(K1, K2) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- incrementCount(K1, K2, double) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- incrementCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- incrementCount(K1, K2, double) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- incrementCount(K1, K2, int) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- incrementCount1D(K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
Equivalent to incrementCount1D(o, 1.0).
- incrementCount1D(K, double) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
- incrementCount2D(K, K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
Equivalent to incrementCount2D(first,second,1.0).
- incrementCount2D(K, K, double) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
Equivalent to incrementCount( new Object[] { first, second }, count ).
- incrementCount3D(K, K, K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
Equivalent to incrementCount3D(first,second,1.0).
- incrementCount3D(K, K, K, double) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
Equivalent to incrementCount( new Object[] { first, second, third }, count ).
- incrementCounts(Collection<E>, int) - Method in class edu.stanford.nlp.stats.IntCounter
-
Adds the given count to the current counts for each of the given keys.
- incrementCounts(Collection<E>) - Method in class edu.stanford.nlp.stats.IntCounter
-
Adds 1 to the counts for each of the given keys.
- incrementRandom(int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
- incrementTreesRead(double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- incrementTreesRead(double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- incrementTreesRead(double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- incrementTreesRead(double) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
If training on a per-word basis instead of on a per-tree basis,
we will want to increment the tree count as this happens.
- incrementTreesRead(double) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
-
Maintains a (real-valued) count of how many (weighted) trees have
been read in.
- incrementValue(int[], double) - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
- incrementValue(int, double) - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
- incrementValue(int[], float) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
-
- incThat() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
-
- incValue(int) - Method in class edu.stanford.nlp.util.MutableInteger
-
Add the argument to the value of this integer.
- inDegree(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- indentedListPrint() - Method in class edu.stanford.nlp.trees.Tree
-
Indented list printing of a tree.
- indentedListPrint(PrintWriter, boolean) - Method in class edu.stanford.nlp.trees.Tree
-
Indented list printing of a tree.
- indentedXMLPrint() - Method in class edu.stanford.nlp.trees.Tree
-
Indented xml printing of a tree.
- indentedXMLPrint(PrintWriter, boolean) - Method in class edu.stanford.nlp.trees.Tree
-
Indented xml printing of a tree.
- index() - Method in class edu.stanford.nlp.ling.CoreLabel
- index() - Method in interface edu.stanford.nlp.ling.HasIndex
-
- index() - Method in class edu.stanford.nlp.ling.IndexedWord
-
- index - Variable in class edu.stanford.nlp.ling.MultiTokenTag
-
- Index() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- index() - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Get the index for the current node.
- Index<E> - Interface in edu.stanford.nlp.util
-
A collection that maps between a vocabulary of type E and a
continuous non-negative integer index series beginning (inclusively) at 0.
- index - Variable in class edu.stanford.nlp.util.StringParsingTask
-
- IndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IndexAnnotation
-
- IndexedExpression(Expression, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.IndexedExpression
-
- indexedValues - Variable in class edu.stanford.nlp.maxent.Feature
-
This will contain the (x,y) pairs for which the feature is non-zero in
case it is sparse.
- IndexedWord - Class in edu.stanford.nlp.ling
-
This class provides a
CoreLabel
that uses its
DocIDAnnotation, SentenceIndexAnnotation, and IndexAnnotation to implement
Comparable/compareTo, hashCode, and equals.
- IndexedWord() - Constructor for class edu.stanford.nlp.ling.IndexedWord
-
Default constructor; uses
CoreLabel
default constructor
- IndexedWord(Label) - Constructor for class edu.stanford.nlp.ling.IndexedWord
-
Copy Constructor - relies on
CoreLabel
copy constructor
It will set the value, and if the word is not set otherwise, set
the word to the value.
- IndexedWord(CoreLabel) - Constructor for class edu.stanford.nlp.ling.IndexedWord
-
Construct an IndexedWord from a CoreLabel just as for a CoreMap.
- IndexedWord(String, int, int) - Constructor for class edu.stanford.nlp.ling.IndexedWord
-
Constructor for setting docID, sentenceIndex, and
index without any other annotations.
- indexLeaves() - Method in class edu.stanford.nlp.trees.Tree
-
Assign sequential integer indices to the leaves of the tree
rooted at this Tree
, starting with 1.
- indexLeaves(boolean) - Method in class edu.stanford.nlp.trees.Tree
-
Index the leaves, and optionally overwrite existing IndexAnnotations if they exist.
- indexLeaves(int, boolean) - Method in class edu.stanford.nlp.trees.Tree
-
Assign sequential integer indices to the leaves of the subtree
rooted at this Tree
, beginning with
startIndex
, and traversing the leaves from left
to right.
- indexOf(int, int) - Method in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
-
- indexOf(int, int) - Method in class edu.stanford.nlp.classify.GeneralizedExpectationObjectiveFunction
-
- indexOf(int, int) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
Converts a Phi feature number and class index into an f(x,y) feature index.
- indexOf(int, int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- indexOf(Object) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
- indexOf(T[], T, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
Returns the index of the first occurrence of the specified element in this array starting at the specified index,
or -1 if this array does not contain the element.
- indexOf(T[], T) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
Returns the index of the first occurrence of the specified element in this array,
or -1 if this array does not contain the element.
- indexOf(E) - Method in class edu.stanford.nlp.util.HashIndex
-
Returns the integer index of the Object in the Index or -1 if the Object
is not already in the Index.
- indexOf(E, boolean) - Method in class edu.stanford.nlp.util.HashIndex
-
Deprecated.
- indexOf(E) - Method in interface edu.stanford.nlp.util.Index
-
Returns the integer index of the Object in the Index or -1 if the Object
is not already in the Index.
- indexOf(E, boolean) - Method in interface edu.stanford.nlp.util.Index
-
- indexOfRegex(Pattern, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
- indexOfRegex(Pattern, String, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
- indexOfRelativeIndex(int) - Method in class edu.stanford.nlp.sequences.Clique
-
For a particular relative index, returns which element in
the Clique it is.
- indexSpans() - Method in class edu.stanford.nlp.trees.Tree
-
Index all spans (constituents) in the tree.
- indexSpans(int) - Method in class edu.stanford.nlp.trees.Tree
-
- indexSpans(MutableInteger) - Method in class edu.stanford.nlp.trees.Tree
-
Assigns span indices (BeginIndexAnnotation and EndIndexAnnotation) to all nodes in a tree.
- indices(Collection<E>) - Method in class edu.stanford.nlp.util.HashIndex
-
Returns the index of each elem in a List.
- INDIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "indirect object" grammatical relation.
- INDIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "indirect object" (iobj) grammatical relation.
- INDIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "indirect object" grammatical relation.
- InefficientSGDMinimizer<T extends Function> - Class in edu.stanford.nlp.optimization
-
Stochastic Gradient Descent Minimizer.
- InefficientSGDMinimizer() - Constructor for class edu.stanford.nlp.optimization.InefficientSGDMinimizer
-
- InefficientSGDMinimizer(double, int) - Constructor for class edu.stanford.nlp.optimization.InefficientSGDMinimizer
-
- InefficientSGDMinimizer(double, int, int) - Constructor for class edu.stanford.nlp.optimization.InefficientSGDMinimizer
-
- InefficientSGDMinimizer(double, int, int, boolean) - Constructor for class edu.stanford.nlp.optimization.InefficientSGDMinimizer
-
- InefficientSGDMinimizer(double, int, int, long) - Constructor for class edu.stanford.nlp.optimization.InefficientSGDMinimizer
-
- InefficientSGDMinimizer(double, int, int, long, boolean) - Constructor for class edu.stanford.nlp.optimization.InefficientSGDMinimizer
-
- InexactDuration(ReadablePeriod) - Constructor for class edu.stanford.nlp.time.SUTime.InexactDuration
-
- InexactDuration(SUTime.Duration, ReadablePeriod) - Constructor for class edu.stanford.nlp.time.SUTime.InexactDuration
-
- InexactTime(Partial) - Constructor for class edu.stanford.nlp.time.SUTime.InexactTime
-
- InexactTime(SUTime.Time, SUTime.Duration, SUTime.Range) - Constructor for class edu.stanford.nlp.time.SUTime.InexactTime
-
- InexactTime(SUTime.Time, SUTime.Range) - Constructor for class edu.stanford.nlp.time.SUTime.InexactTime
-
- InexactTime(SUTime.InexactTime, SUTime.Time, SUTime.Duration, SUTime.Range) - Constructor for class edu.stanford.nlp.time.SUTime.InexactTime
-
- inferenceType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- infinitiveSuffix(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishUnknownWordSignatures
-
- info - Variable in class edu.stanford.nlp.util.logging.OutputHandler
-
The current track info; used to avoid trackStack.peek() calls
- info(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
-
- infof(String, Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
-
Log to the info channel.
- infoFile - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- infoLevel() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
Run Redwood with SLF4J if available, otherwise with stderr logging at the warning (and error) level.
- init(List<Pair<Double, Integer>>) - Method in class edu.stanford.nlp.classify.PRCurve
-
- init(SeqClassifierFlags) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
-
- init(String, Properties) - Method in interface edu.stanford.nlp.ling.tokensregex.Env.Binder
-
- init(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
-
- init(AbstractStochasticCachingDiffUpdateFunction) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
-
- init(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.SMDMinimizer
-
- init(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.SQNMinimizer
-
- init(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- init(SeqClassifierFlags) - Method in class edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
-
- init(String) - Method in class edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
-
- init(SeqClassifierFlags) - Method in class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
-
- init(SeqClassifierFlags) - Method in interface edu.stanford.nlp.sequences.DocumentReaderAndWriter
-
This will be called immediately after construction.
- init(SeqClassifierFlags) - Method in class edu.stanford.nlp.sequences.FeatureFactory
-
- init(SeqClassifierFlags) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
-
- init(SeqClassifierFlags, TokenizerFactory<IN>) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
-
- init() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- init(String, Properties) - Method in class edu.stanford.nlp.time.JollyDayHolidays
-
- init(String, Properties) - Method in interface edu.stanford.nlp.time.TimeExpressionExtractor
-
- init(Options) - Method in interface edu.stanford.nlp.time.TimeExpressionExtractor
-
- init(String, Properties) - Method in class edu.stanford.nlp.time.TimeExpressionExtractorImpl
-
- init(Options) - Method in class edu.stanford.nlp.time.TimeExpressionExtractorImpl
-
- initDefaultBindings() - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- initHashVals() - Method in class edu.stanford.nlp.maxent.Feature
-
Creates a HashMap with keys indices from pairs (x,y) and values the value of the function at the pair;
required for use of getVal(x,y)
- initial() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- initial(boolean) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- initial(Random) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- initial() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
-
- initial() - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
-
- initial() - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
-
- initial() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
-
- initial() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
-
- initial() - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
- initial() - Method in interface edu.stanford.nlp.optimization.HasFloatInitial
-
Returns the intitial point in the domain (but not necessarily a feasible one).
- initial() - Method in interface edu.stanford.nlp.optimization.HasInitial
-
Returns the intitial point in the domain (but not necessarily a feasible one).
- initialConfiguration(CoreMap) - Method in class edu.stanford.nlp.parser.nndep.ArcStandard
-
- initialConfiguration(CoreMap) - Method in class edu.stanford.nlp.parser.nndep.ParsingSystem
-
Build an initial parser configuration from the given sentence.
- initialGain - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- initialize(int) - Method in class edu.stanford.nlp.classify.Dataset
-
- initialize(int) - Method in class edu.stanford.nlp.classify.GeneralDataset
-
This method takes care of resetting values of the dataset
such that it is empty with an initial capacity of numDatums.
- initialize(int) - Method in class edu.stanford.nlp.classify.RVFDataset
-
- initializeTraining(double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- initializeTraining(double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- initializeTraining(double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- initializeTraining(double) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
Start training this lexicon on the expected number of trees.
- initializeTraining(Options, Lexicon, Index<String>, Index<String>, double) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
-
Initialize the trainer with a few of the data structures it needs
to train.
- initializeTraining(double) - Method in interface edu.stanford.nlp.process.WordSegmenter
-
- initialLopScales - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- initialLopWeights - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- initialState() - Method in class edu.stanford.nlp.fsm.DFSA
-
- initialWeights - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- initLexicon(String) - Static method in class edu.stanford.nlp.tagger.maxent.Distsim
-
- initMC(ArrayList<Triple<Double, Integer, Integer>>) - Method in class edu.stanford.nlp.classify.PRCurve
-
- initMC(ProbabilisticClassifier<L, F>, GeneralDataset<L, F>) - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
-
- initRange - Variable in class edu.stanford.nlp.parser.nndep.Config
-
Model weights will be initialized to random values within the
range [-initRange, initRange]
.
- initRate - Variable in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
-
- initRate - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- initRulesWithWord() - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- initRulesWithWord() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexicon
-
Rule table is lemmas!
- initTagBins() - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- initViterbi - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- initWithNERPosterior - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- initWithPosterior - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- innerProduct(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- innerProduct(float[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- input() - Method in class edu.stanford.nlp.fsm.DFSATransition
-
- inputEncoding - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
- inputEncoding - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- inputStreamFromFile(File) - Static method in class edu.stanford.nlp.io.IOUtils
-
Quietly opens a File.
- insertCost(Object) - Method in class edu.stanford.nlp.util.EditDistance
-
- insertDtr(Tree, int) - Method in class edu.stanford.nlp.trees.Tree
-
insert dtr
after position
existing
daughters in this
.
- instanceIndex - Variable in class edu.stanford.nlp.maxent.Feature
-
- INSTANT_ZERO - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
-
- intArrToByteArr(int[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- intArrToByteArr(int[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- intArrToByteArr(byte[], int, int[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- IntCounter<E> - Class in edu.stanford.nlp.stats
-
A specialized kind of hash table (or map) for storing numeric counts for
objects.
- IntCounter() - Constructor for class edu.stanford.nlp.stats.IntCounter
-
Constructs a new (empty) Counter.
- IntCounter(MapFactory<E, MutableInteger>) - Constructor for class edu.stanford.nlp.stats.IntCounter
-
Pass in a MapFactory and the map it vends will back your counter.
- IntCounter(IntCounter<E>) - Constructor for class edu.stanford.nlp.stats.IntCounter
-
Constructs a new Counter with the contents of the given Counter.
- IntDependency - Class in edu.stanford.nlp.parser.lexparser
-
Maintains a dependency between head and dependent where they are each an IntTaggedWord.
- IntDependency(IntTaggedWord, IntTaggedWord, boolean, int) - Constructor for class edu.stanford.nlp.parser.lexparser.IntDependency
-
- IntDependency(int, int, int, int, boolean, int) - Constructor for class edu.stanford.nlp.parser.lexparser.IntDependency
-
- IntegerAnnotationPattern(int) - Constructor for class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.IntegerAnnotationPattern
-
- IntegerToken() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- interimOutputFreq - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- intermediateSegmenterModel - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- intermediateSegmenterOut - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- intern - Variable in class edu.stanford.nlp.classify.LinearClassifier
-
- intern(IntTaggedWord, IntTaggedWord, boolean, short) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
This is a custom interner that simultaneously creates and interns
an IntDependency.
- intern - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- intern(T) - Method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
-
Returns a unique object o' that .equals the argument o.
- intern(T) - Method in class edu.stanford.nlp.util.Interner
-
Returns a unique object o' that .equals the argument o.
- intern2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- internAll(Set<T>) - Method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
-
Returns a Set
such that each element in the returned set
is a unique object e' that .equals the corresponding element e in the
original set.
- internAll(Set<T>) - Method in class edu.stanford.nlp.util.Interner
-
Returns a Set
such that each element in the returned set
is a unique object e' that .equals the corresponding element e in the
original set.
- internedStringPair(String, String) - Static method in class edu.stanford.nlp.util.Pair
-
Returns an MutableInternedPair where the Strings have been interned.
- interner - Static variable in class edu.stanford.nlp.sequences.Clique
-
- interner - Static variable in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
-
- Interner<T> - Class in edu.stanford.nlp.util
-
For interning (canonicalizing) things.
- Interner() - Constructor for class edu.stanford.nlp.util.Interner
-
- Interner(int) - Constructor for class edu.stanford.nlp.util.Interner
-
- interner - Static variable in class edu.stanford.nlp.util.Interner
-
- interp - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
Interpolation between model that directly predicts aTW and model
that predicts aT and then aW given aT.
- InterpretationAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.InterpretationAnnotation
-
- intersect(SUTime.Time) - Method in class edu.stanford.nlp.time.JollyDayHolidays.JollyHoliday
-
- intersect(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
-
- intersect(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.Duration
-
- intersect(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Duration
-
- intersect(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.ExplicitTemporalSet
-
- intersect(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
-
- intersect(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
-
- intersect(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.OrdinalTime
-
- intersect(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- intersect(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
-
- intersect(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.Range
-
- intersect(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
-
- intersect(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
-
- intersect(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- intersect(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.Time
-
- intersect(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.Time
-
- intersect(SUTime.Time, SUTime.Time) - Static method in class edu.stanford.nlp.time.SUTime.Time
-
- intersect(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.TimeWithRange
-
- intersect(Interval<E>) - Method in class edu.stanford.nlp.util.Interval
-
Returns interval that is the intersection of this and the other interval
Returns null if intersect is null
- intersection(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a counter that is the intersection of c1 and c2.
- intersection(Set<T>, Set<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
- intersection(Set<E>, Set<E>) - Static method in class edu.stanford.nlp.util.Sets
-
Returns the intersection of sets s1 and s2.
- IntersectMultiNodePattern(List<MultiNodePattern<T>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiNodePattern.IntersectMultiNodePattern
-
- intersects(Set<E>, Set<E>) - Static method in class edu.stanford.nlp.util.Sets
-
Returns true if there is at least element that is in both s1 and s2.
- Interval<E extends Comparable<E>> - Class in edu.stanford.nlp.util
-
Represents a interval of a generic type E that is comparable.
- Interval(E, E, int) - Constructor for class edu.stanford.nlp.util.Interval
-
- Interval.RelType - Enum in edu.stanford.nlp.util
-
RelType gives the basic types of relations between two intervals
- INTERVAL_OPEN_BEGIN - Static variable in class edu.stanford.nlp.util.Interval
-
Flag indicating that an interval's begin point is not inclusive
(by default, begin points are inclusive)
- INTERVAL_OPEN_END - Static variable in class edu.stanford.nlp.util.Interval
-
Flag indicating that an interval's end point is not inclusive
(by default, begin points are inclusive)
- IntervalTree<E extends Comparable<E>,T extends HasInterval<E>> - Class in edu.stanford.nlp.util
-
An interval tree maintains a tree so that all intervals to the left start
before current interval and all intervals to the right start after.
- IntervalTree() - Constructor for class edu.stanford.nlp.util.IntervalTree
-
- IntervalTree.TreeNode<E extends Comparable<E>,T extends HasInterval<E>> - Class in edu.stanford.nlp.util
-
- IntPair - Class in edu.stanford.nlp.util
-
- IntPair() - Constructor for class edu.stanford.nlp.util.IntPair
-
- IntPair(int, int) - Constructor for class edu.stanford.nlp.util.IntPair
-
- intPow(int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Exponentiation like we learned in grade school:
multiply b by itself e times.
- intPow(float, int) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Exponentiation like we learned in grade school:
multiply b by itself e times.
- intPow(double, int) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Exponentiation like we learned in grade school:
multiply b by itself e times.
- IntQuadruple - Class in edu.stanford.nlp.util
-
- IntQuadruple() - Constructor for class edu.stanford.nlp.util.IntQuadruple
-
- IntQuadruple(int, int, int, int) - Constructor for class edu.stanford.nlp.util.IntQuadruple
-
- IntTaggedWord - Class in edu.stanford.nlp.parser.lexparser
-
Represents a WordTag (in the sense that equality is defined
on both components), where each half is represented by an
int indexed by a Index.
- IntTaggedWord(int, int) - Constructor for class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- IntTaggedWord(String, char, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
Creates an IntTaggedWord given by the String representation
of the form <word>|<tag>
- IntTaggedWord(String, String, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
Creates an IntTaggedWord given by the tagString and wordString
- IntTriple - Class in edu.stanford.nlp.util
-
- IntTriple() - Constructor for class edu.stanford.nlp.util.IntTriple
-
- IntTriple(int, int, int) - Constructor for class edu.stanford.nlp.util.IntTriple
-
- IntTuple - Class in edu.stanford.nlp.util
-
A tuple of int.
- IntTuple(int[]) - Constructor for class edu.stanford.nlp.util.IntTuple
-
- IntTuple(int) - Constructor for class edu.stanford.nlp.util.IntTuple
-
- IntUni - Class in edu.stanford.nlp.util
-
Just a single integer
- IntUni() - Constructor for class edu.stanford.nlp.util.IntUni
-
- IntUni(int) - Constructor for class edu.stanford.nlp.util.IntUni
-
- intValue() - Method in class edu.stanford.nlp.math.DoubleAD
-
- intValue() - Method in class edu.stanford.nlp.util.MutableDouble
-
- intValue() - Method in class edu.stanford.nlp.util.MutableInteger
-
- InvalidElementException(String) - Constructor for exception edu.stanford.nlp.math.ArrayMath.InvalidElementException
-
- invert(Map<X, Y>) - Static method in class edu.stanford.nlp.util.Maps
-
Inverts a map x->y to a map y->x assuming unique preimages.
- invertSet(Map<X, Y>) - Static method in class edu.stanford.nlp.util.Maps
-
Inverts a map x->y to a map y->pow(x) not assuming unique preimages.
- iobTags - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- IOBUtils - Class in edu.stanford.nlp.sequences
-
A static class with functions to convert lists of tokens between
different IOB-style representations.
- iobWrapper - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- IOUtils - Class in edu.stanford.nlp.io
-
Helper Class for various I/O related things.
- IP_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "verb modifier" grammatical relation.
- isAccepting() - Method in class edu.stanford.nlp.fsm.DFSAState
-
- isAcronym(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Given a String the method uses Regex to check if the String looks like an acronym
- isActive(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
-
- isAfter(Span) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
-
Returns true if this span starts after the otherSpan's end.
- isAfter(String) - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
Returns true if this date instance is after
the given dateString.
- isAllCaps(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
-
- isAllUpperCase(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Check if every non whitespace character is upper case (e.g.
- isAlpha(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Given a String the method uses Regex to check if the String only contains alphabet characters
- isAlphaBalanced(IntervalTree.TreeNode<E, T>, double) - Method in class edu.stanford.nlp.util.IntervalTree
-
- isAlphanumeric(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Given a String the method uses Regex to check if the String only contains alphanumeric characters
- isAmbiguous(String) - Static method in class edu.stanford.nlp.international.spanish.process.AnCoraPronounDisambiguator
-
Determine if the given pronoun can have multiple senses.
- isAncestor(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Searches up to 2 levels to determine how far ancestor is from child (i.e.,
returns 1 if "ancestor" is a parent, or 2 if ancestor is a grandparent.
- isAncestor(GrammaticalRelation) - Method in class edu.stanford.nlp.trees.GrammaticalRelation
-
Returns whether this is equal to or an ancestor of gr in the grammatical relations hierarchy.
- isApplicable(Tree) - Method in class edu.stanford.nlp.trees.GrammaticalRelation
-
Returns true
iff the value of Tree
node t
matches the sourcePattern
for
this GrammaticalRelation
, indicating that this
GrammaticalRelation
is one that could hold between
Tree
node t
and some other node.
- isApprox() - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- isAuxiliaryVerb(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns true iff this vertex stands in the "aux" relation to (any of)
its parent(s).
- isBefore(Span) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
-
Returns true if this span ends before the otherSpan starts.
- isBinarized() - Method in class edu.stanford.nlp.trees.Tree
-
Returns whether this node is the root of a possibly binarized
tree.
- isBinary() - Method in class edu.stanford.nlp.trees.Tree
-
Returns whether this node is the root of a possibly binary tree.
- isBreaking(String) - Static method in class edu.stanford.nlp.util.XMLUtils
-
- isBreaking(XMLUtils.XMLTag) - Static method in class edu.stanford.nlp.util.XMLUtils
-
- isCache() - Method in class edu.stanford.nlp.util.Lazy
-
Specify whether this lazy should garbage collect its value if needed,
or whether it should force it to be persistent.
- isCapitalized(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
-
- isCapitalized(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Check if a string begins with an uppercase.
- isClosed(String) - Method in class edu.stanford.nlp.tagger.maxent.TTags
-
- isCloseTo(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath
-
- isComparable(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Duration
-
- isComparable(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.Time
-
- isComparable(T) - Method in interface edu.stanford.nlp.util.FuzzyInterval.FuzzyComparable
-
Returns whether this object is comparable with another object
- isCompatible(String, String) - Static method in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
Returns true iff date1 could represent the same value as date2
e.g.
- isCompatible(String, E, E) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
-
- isCompatible(Partial, Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- isCompatible(SUTime.PartialTime) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- isCompatibleDate(ISODateInstance) - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
- isComposite - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
- isConnected(Collection<TypedDependency>) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Checks if all the typeDependencies are connected
- isConstrained(String) - Method in class edu.stanford.nlp.ie.crf.LabelDictionary
-
True if this observation is constrained, and false otherwise.
- isContinuable() - Method in class edu.stanford.nlp.fsm.DFSAState
-
- isControl(char) - Static method in class edu.stanford.nlp.util.Characters
-
Returns true if a character is a control character, and
false otherwise.
- isCopy(IndexedWord) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- isDag() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- isDag(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- isDangerous(double) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Returns true if the argument is a "dangerous" double to have
around, namely one that is infinite, NaN or zero.
- IsDateRangeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IsDateRangeAnnotation
-
- isDayCompatible(ISODateInstance) - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
Looks if the days for the two dates are compatible.
- isDifferentEntityBoundary(String, String) - Static method in class edu.stanford.nlp.sequences.IOBUtils
-
- isDigit(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
-
- isDot(char) - Method in class edu.stanford.nlp.util.StringParsingTask
-
- isDynamic() - Method in class edu.stanford.nlp.tagger.maxent.Extractor
-
- isDynamic() - Method in class edu.stanford.nlp.tagger.maxent.ExtractorDistsim
-
- isDynamic() - Method in class edu.stanford.nlp.tagger.maxent.ExtractorDistsimConjunction
-
- isEdge(V, V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
only checks if there is an edge from source to dest.
- isEdge(V, V) - Method in interface edu.stanford.nlp.graph.Graph
-
only checks if there is an edge from source to dest.
- isEmpty() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
False if there are any vertices in the graph, true otherwise.
- isEmpty() - Method in interface edu.stanford.nlp.graph.Graph
-
False if there are any vertices in the graph, true otherwise.
- isEmpty() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- isEmpty() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
-
- isEmpty() - Method in class edu.stanford.nlp.objectbank.ObjectBank
-
- isEmpty() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- isEmpty() - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
-
- isEmpty() - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Returns whether a Counter has no keys in it.
- isEmpty() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
Returns true if nothing has a count.
- isEmpty() - Method in class edu.stanford.nlp.stats.IntCounter
-
- isEmpty() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- isEmpty() - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- isEmpty() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- isEmpty() - Method in class edu.stanford.nlp.util.ArrayHeap
-
Checks if the heap is empty.
- isEmpty() - Method in class edu.stanford.nlp.util.ArrayMap
-
- isEmpty() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
Checks if the queue is empty.
- isEmpty() - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
- isEmpty() - Method in interface edu.stanford.nlp.util.Heap
-
Returns true iff the heap is empty.
- isEmpty() - Method in class edu.stanford.nlp.util.IdentityHashSet
-
Returns true
if this set contains no elements.
- isEmpty() - Method in class edu.stanford.nlp.util.IntervalTree
-
- isEmpty() - Method in class edu.stanford.nlp.util.IntervalTree.TreeNode
-
- isEmpty() - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
- isEmpty() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- isEnd() - Method in class edu.stanford.nlp.ling.MultiTokenTag
-
- isEndOfChunk(LabeledChunkIdentifier.LabelTagType, LabeledChunkIdentifier.LabelTagType) - Static method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
-
Returns whether a chunk ended between the previous and current token.
- isEndTag - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
-
Whether this is an ending tag or not.
- isEntityBoundary(String, char, String, char) - Static method in class edu.stanford.nlp.sequences.IOBUtils
-
- isEOF - Variable in class edu.stanford.nlp.util.StringParsingTask
-
- isEOF() - Method in class edu.stanford.nlp.util.StringParsingTask
-
- isEol(String) - Method in class edu.stanford.nlp.process.TokenizerAdapter
-
Say whether the String
is the end-of-line token for
this tokenizer.
- isEvalBIgnoredPunctuationTag(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Accepts a String that is a punctuation
tag that should be ignored by EVALB-style evaluation,
and rejects everything else.
- isEvalBIgnoredPunctuationTag(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
Accepts a String that is a punctuation
tag that should be ignored by EVALB-style evaluation,
and rejects everything else.
- isEvalBIgnoredPunctuationTag(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Accepts a String that is a punctuation
tag that should be ignored by EVALB-style evaluation,
and rejects everything else.
- isEvalGF() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
- isExtra() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
-
- isFinite(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns true if the given counter contains only finite, non-NaN values.
- IsFirstWordOfMWTAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IsFirstWordOfMWTAnnotation
-
- isForeign(String) - Static method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- isFromString() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
-
This function is used to determine whether the GrammaticalRelation in
question is one that was created to be a thin wrapper around a String
representation by valueOf(String), or whether it is a full-fledged
GrammaticalRelation created by direct invocation of the constructor.
- isGarbageCollected() - Method in class edu.stanford.nlp.util.Lazy
-
Check if this lazy has been garbage collected, if it is a cached value.
- isGreedyMatch() - Method in class edu.stanford.nlp.ling.tokensregex.MultiNodePattern
-
- isGrounded() - Method in class edu.stanford.nlp.time.JollyDayHolidays.JollyHoliday
-
- isGrounded() - Method in class edu.stanford.nlp.time.SUTime.Duration
-
- isGrounded() - Method in class edu.stanford.nlp.time.SUTime.ExplicitTemporalSet
-
- isGrounded() - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
-
- isGrounded() - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- isGrounded() - Method in class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
-
- isGrounded() - Method in class edu.stanford.nlp.time.SUTime.Range
-
- isGrounded() - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
-
- isGrounded() - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- isGrounded() - Method in class edu.stanford.nlp.time.SUTime.Time
-
- isIgnoreProvidedTag() - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
-
- isIncludeNested() - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- isInConditionalContext(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Check if the vertex is in a "conditional" context.
- isInteger(Number) - Static method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- isIntervalComparable(Interval<E>) - Method in class edu.stanford.nlp.util.Interval
-
Checks whether this interval is comparable with another interval
comes before or after
- isKnown(int) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Checks whether a word is in the lexicon.
- isKnown(String) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Checks whether a word is in the lexicon.
- isKnown(int) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- isKnown(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- isKnown(int) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- isKnown(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- isKnown(int) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
Checks whether a word is in the lexicon.
- isKnown(String) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
Checks whether a word is in the lexicon.
- isLabelAnnotationIntroducingCharacter(char) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Say whether this character is an annotation introducing
character.
- isLabelAnnotationIntroducingCharacter(char) - Method in class edu.stanford.nlp.trees.international.negra.NegraHeadFinder
-
Say whether this character is an annotation introducing
character.
- isLabelAnnotationIntroducingCharacter(char) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Say whether this character is an annotation introducing
character.
- isLeaf() - Method in class edu.stanford.nlp.trees.Tree
-
Says whether a node is a leaf.
- isLeaveGF() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
- isLeftParen(char) - Method in class edu.stanford.nlp.util.StringParsingTask
-
- isLocal() - Method in class edu.stanford.nlp.tagger.maxent.Extractor
-
- isLocal() - Method in class edu.stanford.nlp.tagger.maxent.ExtractorDistsim
-
- isLocal() - Method in class edu.stanford.nlp.tagger.maxent.ExtractorDistsimConjunction
-
- isLocked() - Method in class edu.stanford.nlp.util.HashIndex
-
Queries the Index for whether it's locked or not.
- isLocked() - Method in interface edu.stanford.nlp.util.Index
-
Queries the Index for whether it's locked or not.
- isLonger(PhraseTable.Phrase) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.Phrase
-
- isMatchWithResult() - Method in class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher
-
- isMatchWithResult() - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
- isMonthCompatible(ISODateInstance) - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
Looks if the months for the two dates are compatible.
- isMoreGeneral(DateTimeFieldType, DateTimeFieldType, Chronology) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- isMoreSpecific(DateTimeFieldType, DateTimeFieldType, Chronology) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- isMostlyCompatible(SequenceMatchRules.AnnotationExtractRule<S, T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
- IsMultiWordTokenAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IsMultiWordTokenAnnotation
-
- isMWT() - Method in class edu.stanford.nlp.ling.CoreLabel
-
Get value of IsMultiWordToken
- isMWTFirst() - Method in class edu.stanford.nlp.ling.CoreLabel
-
Get value of IsFirstWordOfMWT
- isNegatedVertex(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- isNeighbor(V, V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- isNeighbor(V, V) - Method in interface edu.stanford.nlp.graph.Graph
-
- isNewline() - Method in class edu.stanford.nlp.ling.CoreLabel
-
Get value of IsNewlineAnnotation
- IsNewlineAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IsNewlineAnnotation
-
- isNodeCoord() - Method in class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
-
- isNull() - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
-
- isNullOrEmpty(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Returns whether a String is either null or empty.
- isNumber(char) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
-
- isNumeric(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Given a String the method uses Regex to check if the String only contains numeric characters
- IsoDate(int, int, int) - Constructor for class edu.stanford.nlp.time.SUTime.IsoDate
-
- IsoDate(SUTime.StandardTemporalType, int, int, int) - Constructor for class edu.stanford.nlp.time.SUTime.IsoDate
-
- IsoDate(Number, Number, Number) - Constructor for class edu.stanford.nlp.time.SUTime.IsoDate
-
- IsoDate(Number, Number, Number, Number, Boolean) - Constructor for class edu.stanford.nlp.time.SUTime.IsoDate
-
- IsoDate(String, String, String) - Constructor for class edu.stanford.nlp.time.SUTime.IsoDate
-
- ISODateInstance - Class in edu.stanford.nlp.ie.pascal
-
Represents dates and times according to ISO8601 standard while also allowing for
wild cards - e.g., can represent "21 June" without a year.
- ISODateInstance() - Constructor for class edu.stanford.nlp.ie.pascal.ISODateInstance
-
Creates an empty date instance; you probably
don't want this in most cases.
- ISODateInstance(String) - Constructor for class edu.stanford.nlp.ie.pascal.ISODateInstance
-
Takes a string that represents a date, and attempts to
normalize it into ISO 8601-compatible format.
- ISODateInstance(String, String) - Constructor for class edu.stanford.nlp.ie.pascal.ISODateInstance
-
- ISODateInstance(ISODateInstance, ISODateInstance) - Constructor for class edu.stanford.nlp.ie.pascal.ISODateInstance
-
Constructor for a range of dates, beginning at date start and finishing at date end
- ISODateInstance(ISODateInstance, String) - Constructor for class edu.stanford.nlp.ie.pascal.ISODateInstance
-
Construct a new ISODate based on its relation to a referenceDate.
- ISODateInstance.DateField - Enum in edu.stanford.nlp.ie.pascal
-
Enum for the fields *
- IsoDateTime(SUTime.IsoDate, SUTime.IsoTime) - Constructor for class edu.stanford.nlp.time.SUTime.IsoDateTime
-
- isOracle(Configuration, String, DependencyTree) - Method in class edu.stanford.nlp.parser.nndep.ArcStandard
-
- IsoTime(int, int, int) - Constructor for class edu.stanford.nlp.time.SUTime.IsoTime
-
- IsoTime(Number, Number, Number) - Constructor for class edu.stanford.nlp.time.SUTime.IsoTime
-
- IsoTime(int, int, int, int, int) - Constructor for class edu.stanford.nlp.time.SUTime.IsoTime
-
- IsoTime(Number, Number, Number, Number, Number) - Constructor for class edu.stanford.nlp.time.SUTime.IsoTime
-
- IsoTime(String, String, String) - Constructor for class edu.stanford.nlp.time.SUTime.IsoTime
-
- IsoTime(String, String, String, String) - Constructor for class edu.stanford.nlp.time.SUTime.IsoTime
-
- isPhrasal() - Method in class edu.stanford.nlp.trees.Tree
-
Return whether this node is a phrasal node or not.
- isPopulated(int, int, MaxentTagger) - Static method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
-
- isPrefixBe() - Method in class edu.stanford.nlp.ie.util.RelationTriple
-
If true, this relation expresses a "to be" relation.
- isPrefixBe(boolean) - Method in class edu.stanford.nlp.ie.util.RelationTriple
-
Set the value of this relation triple expressing a "to be" relation.
- isPrePreTerminal() - Method in class edu.stanford.nlp.trees.Tree
-
Return whether all the children of this node are preterminals or not.
- isPreTerminal() - Method in class edu.stanford.nlp.trees.Tree
-
Return whether this node is a preterminal or not.
- isPunc(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
-
- isPunct(char) - Method in class edu.stanford.nlp.util.StringParsingTask
-
- isPunct(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Given a String the method uses Regex to check if the String only contains punctuation characters
- isPunctuation(char) - Static method in class edu.stanford.nlp.util.Characters
-
Returns true if a character is punctuation, and false
otherwise.
- isPunctuationTag(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Accepts a String that is a punctuation
tag name, and rejects everything else.
- isPunctuationTag(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
Accepts a String that is a punctuation
tag name, and rejects everything else.
- isPunctuationTag(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Accepts a String that is a punctuation
tag name, and rejects everything else.
- isPunctuationWord(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Accepts a String that is a punctuation
word, and rejects everything else.
- isPunctuationWord(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
Accepts a String that is a punctuation
word, and rejects everything else.
- isPunctuationWord(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Accepts a String that is a punctuation
word, and rejects everything else.
- isRange() - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
Returns true iff this date represents a range
The range must have at least a start or end
date, but is not guaranteed to have both
- isRef() - Method in class edu.stanford.nlp.time.SUTime.RefTime
-
- isRef() - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- isRightParen(char) - Method in class edu.stanford.nlp.util.StringParsingTask
-
- isRoot() - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
-
- isSameEntityBoundary(String, char, String, char) - Static method in class edu.stanford.nlp.sequences.IOBUtils
-
- isSegmenterLanguage(LanguageInfo.HumanLanguage) - Static method in class edu.stanford.nlp.pipeline.LanguageInfo
-
Check if language is a segmenter language, return boolean.
- isSegmenterLanguage(String) - Static method in class edu.stanford.nlp.pipeline.LanguageInfo
-
- isSentenceFinalPunctuationTag(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Accepts a String that is a sentence end
punctuation tag, and rejects everything else.
- isSentenceFinalPunctuationTag(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
Accepts a String that is a sentence end
punctuation tag, and rejects everything else.
- isSentenceFinalPunctuationTag(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Accepts a String that is a sentence end
punctuation tag, and rejects everything else.
- isSingleTag - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
-
Whether this is an empty element expressed as a single empty element tag like <p/>
.
- isStanfordCoreNLPSupportedLang(String) - Static method in class edu.stanford.nlp.pipeline.LanguageInfo
-
boolean saying whether String represents a Stanford CoreNLP supported language
- isStart() - Method in class edu.stanford.nlp.ling.MultiTokenTag
-
- isStartOfChunk(LabeledChunkIdentifier.LabelTagType, LabeledChunkIdentifier.LabelTagType) - Static method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
-
Returns whether a chunk started between the previous and current token
- isStartSymbol(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Accepts a String that is a start symbol of the treebank.
- isStartSymbol(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Accepts a String that is a start symbol of the treebank.
- isStrippable(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishVerbStripper
-
Determine if the given word is a verb which needs to be stripped.
- isSubList(List<T>, List<? super T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Returns true iff l1 is a sublist of l (i.e., every member of l1 is in l,
and for every e1 < e2 in l1, there is an e1 < e2 occurrence in l).
- isSuffixBe() - Method in class edu.stanford.nlp.ie.util.RelationTriple
-
If true, this relation expresses a "to be" relation (with the be at the end of the sentence).
- isSuffixBe(boolean) - Method in class edu.stanford.nlp.ie.util.RelationTriple
-
Set the value of this relation triple expressing a "to be" relation (suffix).
- isSuffixOf() - Method in class edu.stanford.nlp.ie.util.RelationTriple
-
If true, this relation has an ungrounded "of" at the end of the relation.
- isSuffixOf(boolean) - Method in class edu.stanford.nlp.ie.util.RelationTriple
-
Set the value of this triple missing an ungrounded "of" in the relation string.
- isSymbol(char) - Static method in class edu.stanford.nlp.util.Characters
-
Returns true if a character is a symbol, and false
otherwise.
- isTerminal(Configuration) - Method in class edu.stanford.nlp.parser.nndep.ArcStandard
-
- isTitleCase(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Check if every word in a string begins with an uppercase and the rest is lower case (e.g.
- istmod() - Method in class edu.stanford.nlp.ie.util.RelationTriple
-
If true, this relation expresses a tmod (temporal modifier) relation that is not grounded in
the sentence.
- istmod(boolean) - Method in class edu.stanford.nlp.ie.util.RelationTriple
-
Set the value of this relation triple expressing a tmod (temporal modifier) relation.
- isUnaryRewrite() - Method in class edu.stanford.nlp.trees.Tree
-
Says whether the current node has only one child.
- isUniformDistribution(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Check if this counter is a uniform distribution.
- isUnparseable() - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
Returns true iff we were unable to parse the input
String associated with this date; in that case,
we just store the input string and shortcircuit
all of the comparison methods
- IsURLAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IsURLAnnotation
-
- isVerbalAuxiliary(Tree) - Method in class edu.stanford.nlp.trees.SemanticHeadFinder
-
Returns true if this tree is a preterminal that is a verbal auxiliary.
- isVerbalAuxiliary(Tree) - Method in class edu.stanford.nlp.trees.UniversalSemanticHeadFinder
-
Returns true if this tree is a preterminal that is a verbal auxiliary.
- isVeryDangerous(double) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Returns true if the argument is a "very dangerous" double to have
around, namely one that is infinite or NaN.
- isWhiteSpace(char) - Method in class edu.stanford.nlp.util.StringParsingTask
-
- isYearCompatible(ISODateInstance) - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
Looks if the years for the two dates are compatible.
- ITALIC - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
-
- iterableFromEnumerator(Enumeration<E>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
- IterableIterator<E> - Class in edu.stanford.nlp.util
-
This cures a pet peeve of mine: that you can't use an Iterator directly in
Java 5's foreach construct.
- IterableIterator(Iterator<E>) - Constructor for class edu.stanford.nlp.util.IterableIterator
-
- IterableIterator(Iterable<E>) - Constructor for class edu.stanford.nlp.util.IterableIterator
-
- IterableIterator(Stream<E>) - Constructor for class edu.stanford.nlp.util.IterableIterator
-
- Iterables - Class in edu.stanford.nlp.util
-
Utilities for helping out with Iterables as Collections is to Collection.
- Iterables.IncrementComparator<V1,V2> - Interface in edu.stanford.nlp.util
-
A comparator used by the merge functions to determine which of two
iterators to increment by one of the merge functions.
- ITERATIONS - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- iterativeAverage(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
This version avoids certain types of overflow.
- iterativeCKY - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
If true, use faster iterative deepening CKY algorithm.
- iterator() - Method in class edu.stanford.nlp.classify.GeneralDataset
-
- iterator() - Method in class edu.stanford.nlp.classify.RVFDataset
- iterator() - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
-
- iterator() - Method in class edu.stanford.nlp.ie.util.RelationTriple
-
- iterator() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- iterator() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
-
- iterator() - Method in class edu.stanford.nlp.objectbank.ObjectBank
-
- iterator() - Method in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
-
Returns an Iterator over the input sources in the underlying Collection.
- iterator() - Method in class edu.stanford.nlp.objectbank.ResettableReaderIteratorFactory
-
Returns an Iterator over the input sources in the underlying Collection.
- iterator() - Method in class edu.stanford.nlp.process.DocumentPreprocessor
-
Returns sentences until the document is exhausted.
- iterator() - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
-
- iterator() - Method in class edu.stanford.nlp.stats.ClassicCounter
-
This is a shorthand for keySet.iterator().
- iterator() - Method in class edu.stanford.nlp.stats.IntCounter
-
- iterator() - Method in class edu.stanford.nlp.tagger.io.TextTaggedFileReader
-
- iterator() - Method in class edu.stanford.nlp.tagger.io.TreeTaggedFileReader
-
- iterator() - Method in class edu.stanford.nlp.tagger.io.TSVTaggedFileReader
-
- iterator() - Method in class edu.stanford.nlp.trees.CompositeTreebank
-
- iterator() - Method in class edu.stanford.nlp.trees.DiskTreebank
-
Return an Iterator over Trees in the Treebank.
- iterator() - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
Return an Iterator over Trees in the Treebank.
- iterator() - Method in class edu.stanford.nlp.trees.TransformingTreebank
-
- iterator() - Method in class edu.stanford.nlp.trees.Tree
-
Returns an iterator over all the nodes of the tree.
- iterator() - Method in class edu.stanford.nlp.util.ArrayHeap
-
- iterator() - Method in class edu.stanford.nlp.util.ArraySet
-
Returns iterator over elements of the set.
- iterator() - Method in class edu.stanford.nlp.util.Beam
-
- iterator() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
- iterator() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
- iterator() - Method in class edu.stanford.nlp.util.HashIndex
-
Returns an iterator over the elements of the collection.
- iterator() - Method in interface edu.stanford.nlp.util.Heap
-
Returns an iterator over its elements, in order.
- iterator() - Method in class edu.stanford.nlp.util.IdentityHashSet
-
Returns an iterator over the elements in this set.
- iterator() - Method in class edu.stanford.nlp.util.IntervalTree
-
- iterator() - Method in class edu.stanford.nlp.util.IterableIterator
-
- iterator() - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
-
- iterator() - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
- iterator() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
Iterate over the map using the iterator and entry inner classes.
- iteratorFromEnumerator(Enumeration<E>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
- IteratorFromReaderFactory<T> - Interface in edu.stanford.nlp.objectbank
-
An IteratorFromReaderFactory is used to convert a java.io.Reader
into an Iterator over the Objects of type T represented by the text
in the java.io.Reader.
- iterFilesRecursive(File) - Static method in class edu.stanford.nlp.io.IOUtils
-
Iterate over all the files in the directory, recursively.
- iterFilesRecursive(File, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Iterate over all the files in the directory, recursively.
- iterFilesRecursive(File, Pattern) - Static method in class edu.stanford.nlp.io.IOUtils
-
Iterate over all the files in the directory, recursively.
- itwInterner - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- L1_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
-
- L1Norm(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- L1Norm(C) - Static method in class edu.stanford.nlp.stats.Counters
-
Return the L1 norm of a counter.
- L1normalize(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- l1reg - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- L2Norm(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- L2Norm(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- L2Norm(C) - Static method in class edu.stanford.nlp.stats.Counters
-
Return the l2 norm (Euclidean vector length) of a Counter.
- L2normalize(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- L2normalize(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- L2Normalize(C) - Static method in class edu.stanford.nlp.stats.Counters
-
L2 normalize a counter.
- L2NormalizeInPlace(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
L2 normalize a counter in place.
- label() - Method in class edu.stanford.nlp.ie.crf.CRFDatum
-
Returns the label for this Datum, or null if none have been set.
- label() - Method in class edu.stanford.nlp.ling.BasicDatum
-
Returns the first label for this Datum, or null if none have been set.
- Label - Interface in edu.stanford.nlp.ling
-
Something that implements the Label
interface can act as a
constituent, node, or word label with linguistic attributes.
- label() - Method in interface edu.stanford.nlp.ling.Labeled
-
Returns the primary label for this Object, or null if none have been set.
- label() - Method in class edu.stanford.nlp.ling.RVFDatum
-
- label - Variable in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier.LabelTagType
-
- label() - Method in class edu.stanford.nlp.trees.Constituent
-
access label
- label() - Method in interface edu.stanford.nlp.trees.Labeled
-
Returns the Object's label.
- label() - Method in class edu.stanford.nlp.trees.LabeledConstituent
-
- label() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
-
Returns the label associated with the current node, or null
if there is no label
- label() - Method in class edu.stanford.nlp.trees.Tree
-
Returns the label associated with the current node, or null
if there is no label.
- label() - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Returns the label associated with the current node, or null
if there is no label.
- LabelAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LabelAnnotation
-
- labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Return an array of characters at which a String should be
truncated to give the basic syntactic category of a label.
- labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
-
Return an array of characters at which a String should be
truncated to give the basic syntactic category of a label.
- labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
-
Return an array of characters at which a String should be
truncated to give the basic syntactic category of a label.
- labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
-
- labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
Return an array of characters at which a String should be
truncated to give the basic syntactic category of a label.
- labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
Return an array of characters at which a String should be
truncated to give the basic syntactic category of a label.
- labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
-
Return an array of characters at which a String should be truncated to give the basic syntactic
category of a label.
- labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
-
Return an array of characters at which a String should be
truncated to give the basic syntactic category of a label.
- labelAnnotationIntroducingCharacters() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Return an array of characters at which a String should be
truncated to give the basic syntactic category of a label.
- LabelDictionary - Class in edu.stanford.nlp.ie.crf
-
Constrains test-time inference to labels observed in training.
- LabelDictionary() - Constructor for class edu.stanford.nlp.ie.crf.LabelDictionary
-
Constructor.
- labelDictionaryCutoff - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- Labeled<E> - Interface in edu.stanford.nlp.ling
-
Interface for Objects that have a label, whose label is an Object.
- Labeled - Interface in edu.stanford.nlp.trees
-
Interface for Objects which have a Label
.
- LabeledChunkIdentifier - Class in edu.stanford.nlp.pipeline
-
Identifies chunks based on labels that uses IOB-like encoding
(Erik F.
- LabeledChunkIdentifier() - Constructor for class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
-
- LabeledChunkIdentifier.LabelTagType - Class in edu.stanford.nlp.pipeline
-
Class representing a label, tag and type.
- LabeledConstituent - Class in edu.stanford.nlp.trees
-
A LabeledConstituent
object represents a single bracketing in
a derivation, including start and end points and Label
information, but excluding probabilistic information.
- LabeledConstituent() - Constructor for class edu.stanford.nlp.trees.LabeledConstituent
-
Create an empty LabeledConstituent
object.
- LabeledConstituent(int, int) - Constructor for class edu.stanford.nlp.trees.LabeledConstituent
-
Create a LabeledConstituent
object with given
values.
- LabeledConstituent(int, int, Label) - Constructor for class edu.stanford.nlp.trees.LabeledConstituent
-
Create a LabeledConstituent
object with given values.
- LabeledConstituent(int, int, String) - Constructor for class edu.stanford.nlp.trees.LabeledConstituent
-
Create a LabeledConstituent
object with given values.
- LabeledScoredTreeFactory - Class in edu.stanford.nlp.trees
-
A LabeledScoredTreeFactory
acts as a factory for creating
trees with labels and scores.
- LabeledScoredTreeFactory() - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeFactory
-
Make a TreeFactory that produces LabeledScoredTree trees.
- LabeledScoredTreeFactory(LabelFactory) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeFactory
-
Make a TreeFactory that uses LabeledScoredTree trees, where the
labels are as specified by the user.
- LabeledScoredTreeNode - Class in edu.stanford.nlp.trees
-
A LabeledScoredTreeNode
represents a tree composed of a root
label, a score,
and an array of daughter parse trees.
- LabeledScoredTreeNode() - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeNode
-
Create an empty parse tree.
- LabeledScoredTreeNode(Label) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeNode
-
Create a leaf parse tree with given word.
- LabeledScoredTreeNode(Label, double) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeNode
-
Create a leaf parse tree with given word and score.
- LabeledScoredTreeNode(Label, List<Tree>) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeNode
-
Create parse tree with given root and array of daughter trees.
- LabeledScoredTreeReaderFactory - Class in edu.stanford.nlp.trees
-
This class implements a TreeReaderFactory
that produces
labeled, scored array-based Trees, which have been cleaned up to
delete empties, etc.
- LabeledScoredTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeReaderFactory
-
Create a new TreeReaderFactory with CoreLabel labels.
- LabeledScoredTreeReaderFactory(LabelFactory) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeReaderFactory
-
- LabeledScoredTreeReaderFactory(TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeReaderFactory
-
- LabeledScoredTreeReaderFactory(LabelFactory, TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeReaderFactory
-
- LabeledWord - Class in edu.stanford.nlp.ling
-
A LabeledWord
object contains a word and its tag.
- LabeledWord() - Constructor for class edu.stanford.nlp.ling.LabeledWord
-
Create a new TaggedWord
.
- LabeledWord(String) - Constructor for class edu.stanford.nlp.ling.LabeledWord
-
Create a new TaggedWord
.
- LabeledWord(String, Label) - Constructor for class edu.stanford.nlp.ling.LabeledWord
-
Create a new TaggedWord
.
- LabeledWord(Label, Label) - Constructor for class edu.stanford.nlp.ling.LabeledWord
-
- labeledYield() - Method in class edu.stanford.nlp.trees.Tree
-
- labeledYield(List<LabeledWord>) - Method in class edu.stanford.nlp.trees.Tree
-
- labelFactory() - Method in class edu.stanford.nlp.ling.CategoryWordTag
-
Return a factory for this kind of label
(i.e., CategoryWordTag
).
- labelFactory() - Method in class edu.stanford.nlp.ling.CoreLabel
-
Returns a factory that makes labels of the exact same type as this one.
- labelFactory() - Method in class edu.stanford.nlp.ling.IndexedWord
-
Returns a factory that makes labels of the exact same type as this one.
- labelFactory() - Method in interface edu.stanford.nlp.ling.Label
-
Returns a factory that makes labels of the exact same type as this one.
- labelFactory() - Method in class edu.stanford.nlp.ling.LabeledWord
-
Return a factory for this kind of label
(i.e., TaggedWord
).
- LabelFactory - Interface in edu.stanford.nlp.ling
-
A LabelFactory
object acts as a factory for creating
objects of class Label
, or some descendant class.
- labelFactory() - Method in class edu.stanford.nlp.ling.StringLabel
-
Return a factory for this kind of label
(i.e., StringLabel
).
- labelFactory() - Method in class edu.stanford.nlp.ling.TaggedWord
-
Return a factory for this kind of label
(i.e., TaggedWord
).
- labelFactory() - Method in class edu.stanford.nlp.ling.ValueLabel
-
Returns a factory that makes Labels of the appropriate sort.
- labelFactory() - Method in class edu.stanford.nlp.ling.Word
-
Return a factory for this kind of label (i.e., Word
).
- labelFactory() - Method in class edu.stanford.nlp.ling.WordLemmaTag
-
Return a factory for this kind of label
(i.e., TaggedWord
).
- labelFactory() - Method in class edu.stanford.nlp.ling.WordTag
-
Return a factory for this kind of label
(i.e., TaggedWord
).
- labelFactory() - Method in class edu.stanford.nlp.trees.international.negra.NegraLabel
-
- labelFactory() - Method in class edu.stanford.nlp.trees.LabeledConstituent
-
Return a factory for this kind of label.
- labelFactory() - Method in class edu.stanford.nlp.trees.SimpleConstituent
-
Return a factory for this kind of label.
- labelFactory() - Method in class edu.stanford.nlp.trees.Tree
-
Returns a factory that makes labels of the same type as this one.
- LabelIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LabelIDAnnotation
-
- labelIndex - Variable in class edu.stanford.nlp.classify.GeneralDataset
-
- labelIndex() - Method in class edu.stanford.nlp.classify.GeneralDataset
-
- labelIndex() - Method in class edu.stanford.nlp.classify.LinearClassifier
-
- labelIndex - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- labelIndex - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
- labelIndices - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
label indices - for all possible label sequences - for each feature
- labelIterator() - Method in class edu.stanford.nlp.classify.GeneralDataset
-
Returns an iterator over the class labels of the Dataset
- labelList2Text(List<? extends HasWord>) - Static method in class edu.stanford.nlp.process.PTBTokenizer
-
Returns a presentable version of the given PTB-tokenized words.
- labelProb(int, int) - Method in class edu.stanford.nlp.ie.crf.TestSequenceModel
-
Get the probability of label with labelIndex for the token at position
- labels - Variable in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
-
- labels() - Method in interface edu.stanford.nlp.classify.Classifier
-
- labels - Variable in class edu.stanford.nlp.classify.GeneralDataset
-
- labels() - Method in class edu.stanford.nlp.classify.LinearClassifier
-
- labels - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
The label of each data index.
- labels() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- labels() - Method in class edu.stanford.nlp.ie.ClassifierCombiner
-
- labels - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- labels() - Method in class edu.stanford.nlp.ling.BasicDatum
-
Returns the complete List of labels for this Datum, which may be empty.
- labels() - Method in interface edu.stanford.nlp.ling.Labeled
-
Returns the complete list of labels for this Object, which may be empty.
- labels() - Method in class edu.stanford.nlp.ling.RVFDatum
-
- labels - Variable in class edu.stanford.nlp.parser.nndep.ParsingSystem
-
- labels() - Method in class edu.stanford.nlp.trees.Constituent
-
Access labels -- actually always a singleton here.
- labels() - Method in interface edu.stanford.nlp.trees.Labeled
-
Gives back all labels for this thing.
- labels() - Method in class edu.stanford.nlp.trees.Tree
-
Get the set of all node and leaf Label
s,
null or otherwise, contained in the tree.
- LabelTagType(String, String, String) - Constructor for class edu.stanford.nlp.pipeline.LabeledChunkIdentifier.LabelTagType
-
- LabelWeightAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LabelWeightAnnotation
-
- lam - Variable in class edu.stanford.nlp.optimization.SMDMinimizer
-
- lambda - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
These are the model parameters that have to be learned.
- lambda - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
-
- lambda - Variable in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
-
- lambdaCH - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- lambdaEN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- LambdaSolve - Class in edu.stanford.nlp.maxent.iis
-
This is the main class that does the core computation in IIS.
- LambdaSolve(Problem, double, double) - Constructor for class edu.stanford.nlp.maxent.iis.LambdaSolve
-
- LambdaSolve(String) - Constructor for class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Reads the lambda parameters from a file.
- LambdaSolve() - Constructor for class edu.stanford.nlp.maxent.iis.LambdaSolve
-
- LambdaSolveTagger - Class in edu.stanford.nlp.tagger.maxent
-
This module does the working out of lambda parameters for binary tagger
features.
- LANG - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- langList - Static variable in enum edu.stanford.nlp.international.Language
-
- langpack() - Method in class edu.stanford.nlp.parser.lexparser.Options
-
- Language - Enum in edu.stanford.nlp.international
-
Constants and parameters for multilingual NLP (primarily, parsing).
- language - Variable in class edu.stanford.nlp.parser.nndep.Config
-
The language being parsed.
- language - Variable in class edu.stanford.nlp.time.Options
-
- LanguageInfo - Class in edu.stanford.nlp.pipeline
-
This class contains mappings from strings to language properties files.
- LanguageInfo.HumanLanguage - Enum in edu.stanford.nlp.pipeline
-
languages supported
- languageName - Variable in enum edu.stanford.nlp.ie.NERClassifierCombiner.Language
-
- languageToPropertiesFile - Static variable in class edu.stanford.nlp.pipeline.LanguageInfo
-
map enum to properties file
- languageToRulesFiles - Static variable in class edu.stanford.nlp.time.Options
-
- laplaceSmoothedDistribution(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Distribution
-
Creates an Laplace smoothed Distribution from the given counter, ie adds one count
to every item, including unseen ones, and divides by the total count.
- laplaceSmoothedDistribution(Counter<E>, int, double) - Static method in class edu.stanford.nlp.stats.Distribution
-
Creates a smoothed Distribution using Lidstone's law, ie adds lambda (typically
between 0 and 1) to every item, including unseen ones, and divides by the total count.
- laplaceWithExplicitUnknown(Counter<E>, double, E) - Static method in class edu.stanford.nlp.stats.Distribution
-
Creates a smoothed Distribution with Laplace smoothing, but assumes an explicit
count of "UNKNOWN" items.
- largeChSegFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- LAST - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- LAST_DAY_OF_MONTH - Static variable in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
- LAST_MONTH_OF_YEAR - Static variable in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
- LAST_NON_NIL - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- lastBatch - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
- lastBatchSize - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
- lastChild() - Method in class edu.stanford.nlp.trees.Tree
-
Returns the last child of a tree, or null
if none.
- lastDerivative() - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
- lastElement - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
- LastGazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LastGazAnnotation
-
- lastIndexOf(Object) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
- lastNameList - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- lastPoll - Variable in class edu.stanford.nlp.util.MemoryMonitor
-
- lastSentence() - Method in class edu.stanford.nlp.pipeline.CoNLLUReader.CoNLLUDocument
-
Get the last sentence
- LastTaggedAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LastTaggedAnnotation
-
- lastValue() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
-
- lastValue() - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
- lastVBatch - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
- lastXBatch - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
- latinPunc - Variable in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
-
- LatticeWriter<IN extends CoreMap,T,S> - Interface in edu.stanford.nlp.sequences
-
This interface is used for writing
lattices out of SequenceClassifier
s.
- Lazy<E> - Class in edu.stanford.nlp.util
-
An instantiation of a lazy object.
- Lazy() - Constructor for class edu.stanford.nlp.util.Lazy
-
- lazyUpdate - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- LBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LBeginAnnotation
-
- LC_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "localizer complement" grammatical relation.
- leafLabels(Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
returns the labels of the leaves in a Tree in the order that they're found.
- LEARN_CLOSED_CLASS - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- learnCHBasedOnEN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- learnENBasedOnCH - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- learningRate - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
How fast to learn (can mean different things for different algorithms)
- LeastRecentlyUsedCache<K,V> - Class in edu.stanford.nlp.util
-
LRU cache for whatever.
- LeastRecentlyUsedCache(int) - Constructor for class edu.stanford.nlp.util.LeastRecentlyUsedCache
-
- LEAVE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
-
- leaveItAll - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
if true, leave all PTB (functional tag) annotations (bad)
- leaves(Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
returns the leaves in a Tree in the order that they're found.
- LEFT - Static variable in class edu.stanford.nlp.parser.lexparser.IntDependency
-
- leftCharEdge(Tree) - Method in class edu.stanford.nlp.trees.Tree
-
Returns the positional index of the left edge of node within the tree,
as measured by characters.
- LeftChildrenNodeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LeftChildrenNodeAnnotation
-
- leftContext() - Method in class edu.stanford.nlp.tagger.maxent.Extractor
-
- leftEdge(Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
Returns the positional index of the left edge of a tree t
within a given root, as defined by the size of the yield of all
material preceding t.
- leftEdgeUnsafe(Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
Returns the positional index of the left edge of a tree t
within a given root, as defined by the size of the yield of all
material preceding t.
- leftHeaded - Variable in class edu.stanford.nlp.parser.lexparser.IntDependency
-
- LeftHeadFinder - Class in edu.stanford.nlp.trees
-
HeadFinder that always returns the leftmost daughter as head.
- LeftHeadFinder() - Constructor for class edu.stanford.nlp.trees.LeftHeadFinder
-
- leftMargin - Variable in class edu.stanford.nlp.util.logging.OutputHandler
-
The length of the left margin in which to print channel information.
- leftMessage() - Method in class edu.stanford.nlp.sequences.Clique
-
- leftRec - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Left edge is right-recursive (X << X) Bad.
- leftRotate(IntervalTree.TreeNode<E, T>) - Method in class edu.stanford.nlp.util.IntervalTree
-
- leftSisterLabels(Tree, Tree) - Static method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
-
string-value labels of left sisters; from inside to outside (right-left)
- LeftTermAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LeftTermAnnotation
-
- leftToRight - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- leftWindow() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- leftWindow() - Method in class edu.stanford.nlp.ie.crf.TestSequenceModel
-
- leftWindow() - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
-
- leftWindow() - Method in class edu.stanford.nlp.sequences.FactoredSequenceModel
-
How many label positions to the left influence the label assignment
at a particular position.
- leftWindow() - Method in interface edu.stanford.nlp.sequences.SequenceModel
-
How many label positions to the left influence the label assignment
at a particular position.
- leftWindow() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- lemma() - Method in class edu.stanford.nlp.ling.CoreLabel
-
Return the lemma value of the label (or null if none).
- lemma() - Method in interface edu.stanford.nlp.ling.HasLemma
-
Return the lemma value of the label (or null if none).
- lemma() - Method in class edu.stanford.nlp.ling.IndexedWord
-
- lemma() - Method in class edu.stanford.nlp.ling.WordLemmaTag
-
- lemma(String, String) - Method in class edu.stanford.nlp.process.Morphology
-
- lemma(String, String, boolean) - Method in class edu.stanford.nlp.process.Morphology
-
- LEMMA_LABEL - Static variable in class edu.stanford.nlp.ling.WordLemmaTagFactory
-
- LEMMA_MARK - Static variable in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
-
- LemmaAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LemmaAnnotation
-
- lemmaId() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
-
- lemmaStatic(String, String) - Static method in class edu.stanford.nlp.process.Morphology
-
Lemmatize the word, being sensitive to the tag.
- lemmaStatic(String, String, boolean) - Static method in class edu.stanford.nlp.process.Morphology
-
Lemmatize the word, being sensitive to the tag.
- lemmatize(WordTag) - Method in class edu.stanford.nlp.process.Morphology
-
Lemmatize returning a WordLemmaTag
.
- lemmatize(List<CoreLabel>, Morphology) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Adds lemmas to the given list of CoreLabels, using the given
Morphology object.
- lemmatizeStatic(WordTag) - Static method in class edu.stanford.nlp.process.Morphology
-
- len() - Method in class edu.stanford.nlp.maxent.Feature
-
- len() - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
-
- LEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LEndAnnotation
-
- length() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- length() - Method in class edu.stanford.nlp.ie.crf.TestSequenceModel
-
- length() - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
-
- length - Variable in class edu.stanford.nlp.ling.MultiTokenTag.Tag
-
- length() - Method in class edu.stanford.nlp.sequences.FactoredSequenceModel
- length() - Method in interface edu.stanford.nlp.sequences.SequenceModel
-
- length() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- length() - Method in class edu.stanford.nlp.util.IntTuple
-
- LENGTH_COMPARATOR - Static variable in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
Compares two match results.
- LENGTH_ENDPOINTS_COMPARATOR - Static variable in interface edu.stanford.nlp.util.HasInterval
-
- LENGTH_GT_COMPARATOR - Static variable in interface edu.stanford.nlp.util.HasInterval
-
- LENGTH_LT_COMPARATOR - Static variable in interface edu.stanford.nlp.util.HasInterval
-
- LENGTH_SCORER - Static variable in class edu.stanford.nlp.util.Interval
-
- LengthAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LengthAnnotation
-
- lengthEndpointsComparator() - Static method in class edu.stanford.nlp.util.Interval
-
- lengthNormalization - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
Turns on normalizing scores for sentence length.
- lengthPenalty - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Parameters for a ChineseCharacterBasedLexicon
- lengthScorer() - Static method in class edu.stanford.nlp.util.Interval
-
- levenshteinDistance(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
I shamefully stole this from: http://rosettacode.org/wiki/Levenshtein_distance#Java --Gabor
- levenshteinDistance(E[], E[]) - Static method in class edu.stanford.nlp.util.StringUtils
-
I shamefully stole this from: http://rosettacode.org/wiki/Levenshtein_distance#Java --Gabor
- lex - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- lex(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
- lex(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
-
Returns a lexicon for Arabic.
- lex(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Returns a ChineseLexicon
- lex(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
- lex(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
-
- lex(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
-
returns an ordinary Lexicon (could be tuned for German!)
- lex(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
-
- lex(Options, Index<String>, Index<String>) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
Vends a
Lexicon
object suitable to the particular language/treebank combination of interest.
- LexedTokenFactory<T> - Interface in edu.stanford.nlp.process
-
Constructs a token (of arbitrary type) from a String and its position
in the underlying text.
- Lexer - Interface in edu.stanford.nlp.io
-
- lexerProperties - Variable in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer.ArabicTokenizerFactory
-
- lexerProperties - Variable in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
-
- lexerProperties - Variable in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
-
- LexerTokenizer - Class in edu.stanford.nlp.process
-
An implementation of
Tokenizer
designed to work with
Lexer
implementing classes.
- LexerTokenizer(Lexer) - Constructor for class edu.stanford.nlp.process.LexerTokenizer
-
Constructs a tokenizer from a
Lexer
.
- LexerTokenizer(Lexer, Reader) - Constructor for class edu.stanford.nlp.process.LexerTokenizer
-
Constructs a tokenizer from a
Lexer
and makes a
Reader
the active input stream for the tokenizer.
- LexerUtils - Class in edu.stanford.nlp.process
-
This class contains various static utility methods invoked by our JFlex NL lexers.
- LexerUtils.DashesEnum - Enum in edu.stanford.nlp.process
-
- LexerUtils.EllipsesEnum - Enum in edu.stanford.nlp.process
-
- LexerUtils.QuotesEnum - Enum in edu.stanford.nlp.process
-
- lexicalize(Tree, HeadFinder) - Static method in class edu.stanford.nlp.trees.Trees
-
Returns a lexicalized Tree whose Labels are CategoryWordTag
instances, all corresponds to the input tree.
- Lexicon - Interface in edu.stanford.nlp.parser.lexparser
-
An interface for lexicons interfacing to lexparser.
- lexOptions - Variable in class edu.stanford.nlp.parser.lexparser.Options
-
- LexOptions() - Constructor for class edu.stanford.nlp.parser.lexparser.Options.LexOptions
-
- lgamma(double) - Static method in class edu.stanford.nlp.math.SloppyMath
-
- LinearClassifier<L,F> - Class in edu.stanford.nlp.classify
-
Implements a multiclass linear classifier.
- LinearClassifier(double[][], Index<F>, Index<L>) - Constructor for class edu.stanford.nlp.classify.LinearClassifier
-
Make a linear classifier from the parameters.
- LinearClassifier(double[][], Index<F>, Index<L>, double[]) - Constructor for class edu.stanford.nlp.classify.LinearClassifier
-
- LinearClassifier(double[], Index<Pair<F, L>>) - Constructor for class edu.stanford.nlp.classify.LinearClassifier
-
- LinearClassifier(Counter<? extends Pair<F, L>>) - Constructor for class edu.stanford.nlp.classify.LinearClassifier
-
- LinearClassifier(Counter<? extends Pair<F, L>>, Counter<L>) - Constructor for class edu.stanford.nlp.classify.LinearClassifier
-
- LinearClassifierCreator(LogConditionalObjectiveFunction, Index<F>, Index<L>) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory.LinearClassifierCreator
-
- LinearClassifierCreator(Index<F>, Index<L>) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory.LinearClassifierCreator
-
- LinearClassifierFactory<L,F> - Class in edu.stanford.nlp.classify
-
Builds various types of linear classifiers, with functionality for
setting objective function, optimization method, and other parameters.
- LinearClassifierFactory() - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
-
- LinearClassifierFactory(Minimizer<DiffFunction>) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
-
NOTE: Constructors that take in a Minimizer create a LinearClassifierFactory that will reuse the minimizer
and will not be threadsafe (unless the Minimizer itself is ThreadSafe, which is probably not the case).
- LinearClassifierFactory(Factory<Minimizer<DiffFunction>>) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
-
- LinearClassifierFactory(Minimizer<DiffFunction>, double, boolean) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
-
- LinearClassifierFactory(Factory<Minimizer<DiffFunction>>, double, boolean) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
-
- LinearClassifierFactory(double, boolean, double) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
-
- LinearClassifierFactory(Minimizer<DiffFunction>, double, boolean, double) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
-
- LinearClassifierFactory(Factory<Minimizer<DiffFunction>>, double, boolean, double) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
-
- LinearClassifierFactory(Minimizer<DiffFunction>, double, boolean, int, double) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
-
- LinearClassifierFactory(Factory<Minimizer<DiffFunction>>, double, boolean, int, double) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
-
- LinearClassifierFactory(double, boolean, int, double, double) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
-
- LinearClassifierFactory(double, boolean, int, double, double, int) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
-
- LinearClassifierFactory(Minimizer<DiffFunction>, double, boolean, int, double, double) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
-
Create a factory that builds linear classifiers from training data.
- LinearClassifierFactory(Factory<Minimizer<DiffFunction>>, double, boolean, int, double, double) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
-
- LinearClassifierFactory(Minimizer<DiffFunction>, double, boolean, LogPrior) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
-
- LinearClassifierFactory(Factory<Minimizer<DiffFunction>>, double, boolean, LogPrior) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
-
Create a factory that builds linear classifiers from training data.
- LinearClassifierFactory.LinearClassifierCreator<L,F> - Class in edu.stanford.nlp.classify
-
- LinearCliquePotentialFunction - Class in edu.stanford.nlp.ie.crf
-
- linearCombination(Counter<E>, double, Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a Counter which is a weighted average of c1 and c2.
- lineCount(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
- LineIterator<X> - Class in edu.stanford.nlp.objectbank
-
An Iterator that returns a line of a file at a time.
- LineIterator(Reader) - Constructor for class edu.stanford.nlp.objectbank.LineIterator
-
- LineIterator(Reader, Function<String, X>) - Constructor for class edu.stanford.nlp.objectbank.LineIterator
-
- LineIterator.LineIteratorFactory<X> - Class in edu.stanford.nlp.objectbank
-
- LineIteratorFactory() - Constructor for class edu.stanford.nlp.objectbank.LineIterator.LineIteratorFactory
-
- LineIteratorFactory(Function<String, X>) - Constructor for class edu.stanford.nlp.objectbank.LineIterator.LineIteratorFactory
-
- LineNumberAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LineNumberAnnotation
-
- LineSearcher - Interface in edu.stanford.nlp.optimization
-
The interface for one variable function minimizers.
- linesFromFile(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns the contents of a file as a list of strings.
- linesFromFile(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns the contents of a file as a list of strings.
- linesFromFile(String, String, boolean) - Static method in class edu.stanford.nlp.io.IOUtils
-
- LinkAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LinkAnnotation
-
- LINKED_LIST_FACTORY - Static variable in class edu.stanford.nlp.util.CollectionFactory
-
- linkedHashMapFactory() - Static method in class edu.stanford.nlp.util.MapFactory
-
Return a MapFactory that returns an LinkedHashMap.
- linkedListFactory() - Static method in class edu.stanford.nlp.util.CollectionFactory
-
- LinkedListFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory.LinkedListFactory
-
- LIST - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "list" relation.
- LIST_VALUE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- listener - Static variable in class edu.stanford.nlp.util.ArrayCoreMap
-
A listener for when a key is retrieved by the CoreMap.
- ListeningSequenceModel - Interface in edu.stanford.nlp.sequences
-
This is simply a conjunctive interface for something that is
a SequenceModel and a SequenceListener.
- listenOnChannels(Consumer<Redwood.Record>, Object...) - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
- ListExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- ListExpression(String, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.ListExpression
-
- ListExpression(String, List<Expression>, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.ListExpression
-
- ListExpression2(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- ListExtractRule(Collection<SequenceMatchRules.ExtractRule<I, O>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.ListExtractRule
-
- ListExtractRule(SequenceMatchRules.ExtractRule<I, O>...) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.ListExtractRule
-
- listIterator() - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
- listIterator(int) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
- listOptions(Class) - Static method in class edu.stanford.nlp.util.ArgumentParser
-
- ListProcessor<IN,OUT> - Interface in edu.stanford.nlp.process
-
An interface for things that operate on a List.
- listToEvents(List<TaggedWord>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- listToFile(List<double[]>, String) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
-
- listToOriginalTextString(List<T>) - Static method in class edu.stanford.nlp.ling.SentenceUtils
-
Returns the sentence as a string, based on the original text and spacing
prior to tokenization.
- listToOriginalTextString(List<T>, boolean) - Static method in class edu.stanford.nlp.ling.SentenceUtils
-
Returns the sentence as a string, based on the original text and spacing
prior to tokenization.
- listToString(List<T>) - Static method in class edu.stanford.nlp.ling.SentenceUtils
-
Returns the sentence as a string with a space between words.
- listToString(List<T>, boolean) - Static method in class edu.stanford.nlp.ling.SentenceUtils
-
Returns the sentence as a string with a space between words.
- listToString(List<T>, boolean, String) - Static method in class edu.stanford.nlp.ling.SentenceUtils
-
As already described, but if separator is not null, then objects
such as TaggedWord
- listToString(List<T>, String...) - Static method in class edu.stanford.nlp.ling.SentenceUtils
-
Pretty print CoreMap classes using the same semantics as the toShorterString method.
- LMiddleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LMiddleAnnotation
-
- load(Reader) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
Load a collection of parse trees from a Reader.
- load(Reader, String) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
Load a collection of parse trees from a Reader.
- load() - Static method in class edu.stanford.nlp.trees.UniversalPOSMapper
-
- load(String) - Static method in class edu.stanford.nlp.trees.UniversalPOSMapper
-
- load2DCounter(String, Class<T1>, Class<T2>) - Static method in class edu.stanford.nlp.stats.Counters
-
- load2DMatrixFromFile(String) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- loadAuxClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- loadAuxiliaryData(Collection<List<IN>>, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Load auxiliary data to be used in constructing features and labels
Intended to be overridden by subclasses
- loadAuxiliaryData(Collection<List<IN>>, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierWithDropout
-
- loadBisequenceClassifierCh - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- loadBisequenceClassifierEn - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
Bisequence CRF parameters
- loadByReflection(String, Object...) - Static method in class edu.stanford.nlp.util.ReflectionLoading
-
Create an object of type T by calling the class constructor with the given arguments.
- loadClassifier(InputStream) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Load a classifier from the specified InputStream.
- loadClassifier(InputStream, Properties) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Load a classifier from the specified InputStream.
- loadClassifier(ObjectInputStream, Properties) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Load a classifier from the specified input stream.
- loadClassifier(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Loads a classifier from the file specified by loadPath.
- loadClassifier(String, Properties) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Loads a classifier from the file, classpath resource, or URL specified by loadPath.
- loadClassifier(File) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- loadClassifier(File, Properties) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Loads a classifier from the file specified.
- loadClassifier(ObjectInputStream, Properties) - Method in class edu.stanford.nlp.ie.ClassifierCombiner
-
- loadClassifier(ObjectInputStream, Properties) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Loads a classifier from the specified InputStream.
- loadClassifier(ObjectInputStream, Properties) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierNonlinear
-
- loadClassifier(File) - Method in class edu.stanford.nlp.ie.crf.NERGUI
-
Load a classifier from a file or the default.
- loadClassifier(String) - Method in class edu.stanford.nlp.ie.crf.NERGUI
-
Load a classifier from a file or the default.
- loadClassifier(ObjectInputStream, Properties) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
Load a classifier from the given Stream.
- loadClassifier(ObjectInputStream, Properties) - Method in class edu.stanford.nlp.ie.PresetSequenceClassifier
-
Load a classifier from the specified input stream.
- loadClassifier(ObjectInputStream, Properties) - Method in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- loadClassifier(ObjectInputStream, Properties) - Method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
-
- loadClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- loadClassifierFromPath(Properties, String) - Static method in class edu.stanford.nlp.ie.ClassifierCombiner
-
- loadClassifierNoExceptions(InputStream, Properties) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Loads a classifier from the given input stream.
- loadClassifierNoExceptions(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- loadClassifierNoExceptions(String, Properties) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- loadClassifierNoExceptions(File) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- loadClassifierNoExceptions(File, Properties) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- loadClassIndexFrom - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- loadClassIndexFromFile(String) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- loadCollection(String, Class<T>, CollectionFactory<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
- loadCollection(File, Class<T>, CollectionFactory<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
- loadCollection(String, Class<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Adds the items from the file to the collection.
- loadCollection(File, Class<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Adds the items from the file to the collection.
- loadConllFile(String, List<CoreMap>, List<DependencyTree>, boolean, boolean) - Static method in class edu.stanford.nlp.parser.nndep.Util
-
- loadConllFile(String, List<CoreMap>, List<DependencyTree>) - Static method in class edu.stanford.nlp.parser.nndep.Util
-
- loadCounter(String, Class<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Loads a Counter from a text file.
- loadCRFSegmenterPath - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- loadDatasetsDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- loadDefaultClassifier() - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
This is used to load the default supplied classifier stored within the jar
file.
- loadDefaultClassifier(Properties) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
This is used to load the default supplied classifier stored within the jar
file.
- loadDefaultClassifier() - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
Used to load the default supplied classifier.
- loadFeatureIndexFromCH - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- loadFeatureIndexFromEN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- loadFeatureIndexFromFile(String) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- loadFromFilename(String) - Static method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
Given the path to a file representing the text based serialization of a
Linear Classifier, reconstitutes and returns that LinearClassifier.
- loadFromFilename(String) - Static method in class edu.stanford.nlp.util.HashIndex
-
This assumes each line is of the form (number=value) and it adds each value in order of the lines in the file.
- loadFromFileWithList(String) - Static method in class edu.stanford.nlp.util.HashIndex
-
This assumes each line is one value and creates index by adding values in the order of the lines in the file
- loadFromModelFile(String) - Static method in class edu.stanford.nlp.parser.nndep.DependencyParser
-
- loadFromModelFile(String, Properties) - Static method in class edu.stanford.nlp.parser.nndep.DependencyParser
-
Load a saved parser model.
- loadFromReader(BufferedReader) - Static method in class edu.stanford.nlp.util.HashIndex
-
This is the analogue of loadFromFilename
, and is intended to be included in a routine
that unpacks a text-serialized form of an object that incorporates an Index.
- loadIncInto2DCounter(String, Class<T1>, Class<T2>, TwoDimensionalCounterInterface<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters
-
- loadIntCounter(String, Class<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Loads a Counter from a text file.
- loadInto2DCounter(String, Class<T1>, Class<T2>, TwoDimensionalCounter<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters
-
- loadJarClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- loadModel(String) - Static method in class edu.stanford.nlp.tagger.common.Tagger
-
- loadModelFile(String) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
-
Load a parser model file, printing out some messages about the grammar in the file.
- loadPath(File, FileFilter) - Method in class edu.stanford.nlp.trees.CompositeTreebank
-
- loadPath(File, FileFilter) - Method in class edu.stanford.nlp.trees.DiskTreebank
-
Load trees from given directory.
- loadPath(File, FileFilter) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
Load trees from given directory.
- loadPath(String, FileFilter, String) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
- loadPath(File, FileFilter) - Method in class edu.stanford.nlp.trees.TransformingTreebank
-
Load trees from given path specification.
- loadPath(String) - Method in class edu.stanford.nlp.trees.Treebank
-
Load a sequence of trees from given directory and its subdirectories.
- loadPath(File) - Method in class edu.stanford.nlp.trees.Treebank
-
Load a sequence of trees from given file or directory and its subdirectories.
- loadPath(String, String, boolean) - Method in class edu.stanford.nlp.trees.Treebank
-
Load trees from given directory.
- loadPath(File, String, boolean) - Method in class edu.stanford.nlp.trees.Treebank
-
Load trees from given directory.
- loadPath(String, FileFilter) - Method in class edu.stanford.nlp.trees.Treebank
-
Load a sequence of trees from given directory and its subdirectories
which match the file filter.
- loadPath(File, FileFilter) - Method in class edu.stanford.nlp.trees.Treebank
-
Load trees from given path specification.
- loadPCTSegmenterPath - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- loadProcessedData(String) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- loadProcessedData - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- loadSegmenter(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- loadSegmenter(String) - Method in interface edu.stanford.nlp.process.WordSegmenter
-
- loadTagIndex() - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- loadTextClassifier(BufferedReader) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- loadTextClassifier(String, Properties) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- loadTextClassifier(BufferedReader) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierNonlinear
-
- loadTextClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- loadWeightsFrom - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- loadWeightsFromCH - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- loadWeightsFromEN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- loadWeightsFromFile(String) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- localize(Tree) - Static method in class edu.stanford.nlp.parser.metrics.AbstractEval.RuleErrorEval
-
- LOCALIZER_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "localizer complement" grammatical relation.
- localString() - Method in class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
-
- localString() - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
-
- localString() - Method in class edu.stanford.nlp.trees.tregex.DescriptionPattern
-
- localTree() - Method in class edu.stanford.nlp.trees.Tree
-
Returns a new Tree that represents the local Tree at a certain node.
- localTreeAsCatList(Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
returns the syntactic category of the tree as a list of the syntactic categories of the mother and the daughters
- localTrees() - Method in class edu.stanford.nlp.trees.Tree
-
Returns a set of one level Tree
s that ares the local trees
of the tree.
- LocationAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LocationAnnotation
-
- LOCIndex - Variable in class edu.stanford.nlp.ie.EmpiricalNERPriorBIO
-
- lock(int, Index<String>) - Method in class edu.stanford.nlp.ie.crf.LabelDictionary
-
Setup the constrained label sets and free bookkeeping resources.
- lock() - Method in class edu.stanford.nlp.util.HashIndex
-
Locks the Index.
- lock() - Method in interface edu.stanford.nlp.util.Index
-
Locks the Index.
- log(DoubleAD) - Static method in class edu.stanford.nlp.math.ADMath
-
- log(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- log(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Convenience method for log to a different base.
- log(Object) - Static method in class edu.stanford.nlp.util.logging.PrettyLogger
-
Pretty log an object.
- log(String, Object) - Static method in class edu.stanford.nlp.util.logging.PrettyLogger
-
Pretty log an object along with its description.
- log(Redwood.RedwoodChannels, Object) - Static method in class edu.stanford.nlp.util.logging.PrettyLogger
-
Pretty log an object.
- log(Redwood.RedwoodChannels, String, Object) - Static method in class edu.stanford.nlp.util.logging.PrettyLogger
-
Pretty log an object.
- log(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood
-
Log a message.
- log(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
-
Log a message to the channels specified in this RedwoodChannels object.
- log(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- log() - Method in class edu.stanford.nlp.util.MemoryMonitor.PeakMemoryMonitor
-
- logAdd(float, float) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Returns the log of the sum of two numbers, which are
themselves input in log form.
- logAdd(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Returns the log of the sum of two numbers, which are
themselves input in log form.
- LogConditionalObjectiveFunction<L,F> - Class in edu.stanford.nlp.classify
-
Maximizes the conditional likelihood with a given prior.
- LogConditionalObjectiveFunction(GeneralDataset<L, F>) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- LogConditionalObjectiveFunction(GeneralDataset<L, F>, LogPrior) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- LogConditionalObjectiveFunction(GeneralDataset<L, F>, float[], LogPrior) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- LogConditionalObjectiveFunction(GeneralDataset<L, F>, LogPrior, boolean) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- LogConditionalObjectiveFunction(GeneralDataset<L, F>, LogPrior, boolean, float[]) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
Version passing in a GeneralDataset, which may be binary or real-valued features.
- LogConditionalObjectiveFunction(Iterable<Datum<L, F>>, LogPrior, Index<F>, Index<L>) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
Version where an Iterable is passed in for the data.
- LogConditionalObjectiveFunction(int, int, int[][], int[], boolean) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- LogConditionalObjectiveFunction(int, int, int[][], int[]) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- LogConditionalObjectiveFunction(int, int, int[][], int[], LogPrior) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- LogConditionalObjectiveFunction(int, int, int[][], int[], float[]) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- LogConditionalObjectiveFunction(int, int, int[][], int[], float[], LogPrior) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- LogConditionalObjectiveFunction(int, int, int[][], int[], float[], LogPrior, boolean) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- LogConditionalObjectiveFunction(int, int, int[][], int[], int, double, double) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- LogConditionalObjectiveFunction(int, int, int[][], double[][], int[], int, double, double) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
For real-valued features.
- logf(String, Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood
-
The Redwood equivalent to printf().
- logf(Redwood.Flag, String, Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood
-
The Redwood equivalent to printf(), with a logging level.
- logf(String, Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
-
Log a printf-style formatted message to the channels specified in this RedwoodChannels object.
- logf(Redwood.Flag, String, Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
-
Log a printf-style formatted message to the channels specified in this RedwoodChannels object.
- logf(String, Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- LogFilter - Interface in edu.stanford.nlp.util.logging
-
Simple interface to determine if a Record matches a set of criteria.
- LogFilter.ContainsMessage - Class in edu.stanford.nlp.util.logging
-
Propagate records containing certain substrings.
- LogFilter.HasChannel - Class in edu.stanford.nlp.util.logging
-
- LogFilter.MatchesMessage - Class in edu.stanford.nlp.util.logging
-
Propagate records when Records match a specific message exactly (equals() is used for comparisons)
- logger - Variable in class edu.stanford.nlp.util.logging.RedirectOutputHandler
-
- loggingMethod - Variable in class edu.stanford.nlp.util.logging.RedirectOutputHandler
-
- logIncrementCount(E, double) - Method in class edu.stanford.nlp.stats.AbstractCounter
-
- logIncrementCount(E, double) - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Increments the count stored in log space for this key by the given
log-transformed value.
- logIncrementCount(E, double) - Method in interface edu.stanford.nlp.stats.Counter
-
Increments the count stored in log space for this key by the given
log-transformed value.
- logIncrementValue(int[], double) - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
- logIncrementValue(int[], float) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
-
- logInPlace(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- logInPlace(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- logInvocationString(Redwood.RedwoodChannels, String[]) - Static method in class edu.stanford.nlp.util.StringUtils
-
Logs the command line arguments to Redwood on the given channels.
- logLikelihood() - Method in class edu.stanford.nlp.classify.PRCurve
-
assuming the scores are probability of 1 given x
- loglikelihood(List<IN>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
Returns the log conditional likelihood of the given dataset.
- logLikelihood() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
- logLikelihoodNeg() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Calculate the log-likelihood from scratch, hashing the conditional
probabilities in pcond, which we will use later.
- logLikelihoodScratch() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
calculate the log likelihood from scratch, hashing the conditional
probabilities in pcond which we will use for the derivative later.
- logNormalize(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Makes the values in this array sum to 1.0.
- logNormalizeInPlace(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Transform log space values into a probability distribution in place.
- logPrecision(int) - Method in class edu.stanford.nlp.classify.PRCurve
-
what is the precision at this recall if we look at the score as the probability of class 1 given x
as if coming from logistic regression
- LogPrior - Class in edu.stanford.nlp.classify
-
A Prior for functions.
- LogPrior() - Constructor for class edu.stanford.nlp.classify.LogPrior
-
- LogPrior(int) - Constructor for class edu.stanford.nlp.classify.LogPrior
-
- LogPrior(LogPrior.LogPriorType) - Constructor for class edu.stanford.nlp.classify.LogPrior
-
- LogPrior(int, double, double) - Constructor for class edu.stanford.nlp.classify.LogPrior
-
- LogPrior(LogPrior.LogPriorType, double, double) - Constructor for class edu.stanford.nlp.classify.LogPrior
-
- LogPrior(double[]) - Constructor for class edu.stanford.nlp.classify.LogPrior
-
IMPORTANT NOTE: This constructor allows non-uniform regularization, but it
transforms the inputs C (like the machine learning people like) to sigma
(like we NLP folks like).
- LogPrior.LogPriorType - Enum in edu.stanford.nlp.classify
-
- logProb(int, int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- logProb(int, E) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- logProb(int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
returns the log probability for the given labels (indexed using
classIndex), where the last label corresponds to the label at the specified
position.
- logProb(int, E[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
returns the log probability for the given labels, where the last label
corresponds to the label at the specified position.
- logProb(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
- logProb(int[]) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
-
- logProbabilityOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Returns a counter mapping from each class name to the log probability of
that class for a certain example.
- logProbabilityOf(int[]) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Given a datum's features, returns a counter mapping from each
class name to the log probability of that class.
- logProbabilityOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Deprecated.
- logProbabilityOf(Datum<L, F>) - Method in interface edu.stanford.nlp.classify.ProbabilisticClassifier
-
- logProbabilityOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.SVMLightClassifier
-
Returns a counter for the log probability of each of the classes
looking at the the sum of e^v for each count v, should be 1
Note: Uses SloppyMath.logSum which isn't exact but isn't as
offensively slow as doing a series of exponentials
- logProbabilityOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.SVMLightClassifier
-
Returns a counter for the log probability of each of the classes
looking at the the sum of e^v for each count v, should be 1
Note: Uses SloppyMath.logSum which isn't exact but isn't as
offensively slow as doing a series of exponentials
- logProbabilityOf(E) - Method in class edu.stanford.nlp.stats.Distribution
-
Returns the natural logarithm of the object's probability
- logProbabilityOf(E) - Method in interface edu.stanford.nlp.stats.ProbabilityDistribution
-
- logProbEnd(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
- logProbEnd(int) - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
- logProbEnd(int[]) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
-
- logProbEnd(int) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
-
- logProbFront(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
- logProbFront(int) - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
- logProbFront(int[]) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
-
- logProbs(int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- logProbs(int, int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- logProbStartPos() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- logProbsToDoubleArr(int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- logProbTable() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- LogRecordHandler - Class in edu.stanford.nlp.util.logging
-
A log message handler.
- LogRecordHandler() - Constructor for class edu.stanford.nlp.util.logging.LogRecordHandler
-
- logSum(DoubleAD[]) - Static method in class edu.stanford.nlp.math.ADMath
-
- logSum(DoubleAD[], int, int) - Static method in class edu.stanford.nlp.math.ADMath
-
- logSum(double...) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Returns the log of the sum of an array of numbers, which are
themselves input in log form.
- logSum(double[], int, int) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Returns the log of the portion between fromIndex
, inclusive, and
toIndex
, exclusive, of an array of numbers, which are
themselves input in log form.
- logSum(double[], int, int, int) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Returns the log of the portion between fromIndex
, inclusive, and
toIndex
, exclusive, of an array of numbers, which are
themselves input in log form.
- logSum(List<Double>) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- logSum(List<Double>, int, int) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- logSum(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Returns the log of the sum of an array of numbers, which are
themselves input in log form.
- logSum(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns ArrayMath.logSum of the values in this counter.
- longArrToByteArr(long[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- longArrToByteArr(long[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- longArrToByteArr(byte[], int, long[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- LONGEST_STRING_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
- longestCommonContiguousSubstring(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Computes the longest common contiguous substring of s and t.
- longestCommonSubstring(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Computes the longest common substring of s and t.
- LongestStringComparator() - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher.LongestStringComparator
-
- longValue() - Method in class edu.stanford.nlp.math.DoubleAD
-
- longValue() - Method in class edu.stanford.nlp.util.MutableDouble
-
- longValue() - Method in class edu.stanford.nlp.util.MutableInteger
-
- lookingAt(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Say whether this regular expression can be found at the beginning of
this String.
- lookup(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- lookup(PhraseTable.WordList) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- lookupAnnotationKey(Env, String) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
-
- lookupAnnotationKey(Env, String) - Static method in class edu.stanford.nlp.semgraph.semgrex.Env
-
- lookupAnnotationKeyWithClassname(Env, String) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
-
- lookupFunctionObject(Env, String) - Static method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- lookupNormalized(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- lookupShaper(String) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
-
Look up a shaper by a short String name.
- lossDomination() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
calculate the loss for Dom ranking
using the numbers in p.data.values to determine domination relationships in the graphs
if values[x][y]> values[x][y'] then there is an edge (x,y)->(x,y')
- LOWERCASE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- LowercaseAndAmericanizeFunction - Class in edu.stanford.nlp.process
-
- LowercaseAndAmericanizeFunction() - Constructor for class edu.stanford.nlp.process.LowercaseAndAmericanizeFunction
-
- LowercaseFunction - Class in edu.stanford.nlp.process
-
- LowercaseFunction() - Constructor for class edu.stanford.nlp.process.LowercaseFunction
-
- lowercaseNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- lowercaseWordVectors - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Whether or not to lowercase word vectors
- lowerNewgeneThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- lowestLevelCounterEntrySet() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
Returns a set of entries, where each key is a read-only
List
of size one less than the depth of the GeneralizedCounter, and
each value is a
ClassicCounter
.
- LUNCHTIME - Static variable in class edu.stanford.nlp.time.SUTime
-
- Macros - Class in edu.stanford.nlp.trees.tregex
-
This defines how to use macros from a file in Tregex.
- MAGENTA - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
-
- main(String[]) - Static method in class edu.stanford.nlp.classify.CrossValidator
-
- main(String[]) - Static method in class edu.stanford.nlp.classify.PRCurve
-
- main(String[]) - Static method in class edu.stanford.nlp.classify.RVFDataset
-
- main(String[]) - Static method in class edu.stanford.nlp.ie.ClassifierCombiner
-
Some basic testing of the ClassifierCombiner.
- main(String[]) - Static method in class edu.stanford.nlp.ie.crf.CRFBiasedClassifier
-
The main method, which is essentially the same as in CRFClassifier.
- main(String[]) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
The main method.
- main(String[]) - Static method in class edu.stanford.nlp.ie.crf.CRFFeatureExporter
-
- main(String[]) - Static method in class edu.stanford.nlp.ie.crf.FactorTable
-
- main(String[]) - Static method in class edu.stanford.nlp.ie.crf.FloatFactorTable
-
- main(String[]) - Static method in class edu.stanford.nlp.ie.crf.NERGUI
-
Run the GUI.
- main(String[]) - Static method in class edu.stanford.nlp.ie.demo.NERDemo
-
- main(String[]) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
Command-line version of the classifier.
- main(String[]) - Static method in class edu.stanford.nlp.ie.NERClassifierCombiner
-
The main method.
- main(String[]) - Static method in class edu.stanford.nlp.ie.NERServer
-
Starts this server on the specified port.
- main(String[]) - Static method in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
For testing only
- main(String[]) - Static method in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- main(String[]) - Static method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
-
- main(String[]) - Static method in class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification
-
For debugging.
- main(String[]) - Static method in class edu.stanford.nlp.international.arabic.Buckwalter
-
- main(String[]) - Static method in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
-
- main(String[]) - Static method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer
-
A fast, rule-based tokenizer for Modern Standard Arabic (UTF-8 encoding).
- main(String[]) - Static method in class edu.stanford.nlp.international.french.FrenchMorphoFeatureSpecification
-
For debugging
- main(String[]) - Static method in class edu.stanford.nlp.international.french.process.FrenchTokenizer
-
A fast, rule-based tokenizer for Modern Standard French.
- main(String[]) - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
-
A fast, rule-based tokenizer for Spanish based on AnCora.
- main(String[]) - Static method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- main(String[]) - Static method in class edu.stanford.nlp.ling.WordLemmaTag
-
- main(String[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
For testing only.
- main(String[]) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Tests the hypergeometric distribution code, or other functions
provided in this module.
- main(String[]) - Static method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
With arguments, this will print out the lambda parameters of a
bunch of .lam files (which are assumed to all be the same size).
- main(String[]) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
-
- main(String[]) - Static method in class edu.stanford.nlp.optimization.GoldenSectionLineSearch
-
- main(String[]) - Static method in class edu.stanford.nlp.optimization.InefficientSGDMinimizer
-
- main(String[]) - Static method in class edu.stanford.nlp.optimization.SMDMinimizer
-
- main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
-
- main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Provides some testing and opportunities for exploration of the
probabilities of a BaseLexicon.
- main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
This method lets you train and test a segmenter relative to a
Treebank.
- main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
For testing: loads a treebank and prints the trees.
- main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.CNFTransformers
-
- main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
- main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.FactoredLexicon
-
- main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
-
Calculate parent annotation statistics suitable for doing
selective parent splitting in the PCFGParser inside
FactoredParser.
- main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
-
Calculate sister annotation statistics suitable for doing
selective sister splitting in the PCFGParser inside the
FactoredParser.
- main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
-
Lets you test out the TreeAnnotatorAndBinarizer on the command line.
- main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
-
- main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.TreeBinarizer
-
Lets you test out the TreeBinarizer on the command line.
- main(String[]) - Static method in class edu.stanford.nlp.parser.nndep.DependencyParser
-
A main program for training, testing and using the parser.
- main(String[]) - Static method in class edu.stanford.nlp.pipeline.DefaultPaths
-
Go through all of the paths via reflection, and print them out in a TSV format.
- main(String[]) - Static method in class edu.stanford.nlp.pipeline.LanguageInfo
-
Go through all of the paths via reflection, and print them out in a TSV format.
- main(String[]) - Static method in class edu.stanford.nlp.process.Americanize
-
Americanize and print the command line arguments.
- main(String[]) - Static method in class edu.stanford.nlp.process.DocumentPreprocessor
-
A simple, deterministic sentence-splitter.
- main(String[]) - Static method in class edu.stanford.nlp.process.LexerTokenizer
-
For testing only.
- main(String[]) - Static method in class edu.stanford.nlp.process.Morphology
-
Run the morphological analyzer.
- main(String[]) - Static method in class edu.stanford.nlp.process.PTBTokenizer
-
Reads files given as arguments and print their tokens, by default as
one per line.
- main(String[]) - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
-
Reads a file from the argument and prints its tokens one per line.
- main(String[]) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
-
Usage: java edu.stanford.nlp.process.WordShapeClassifier
[-wordShape name] string+
where name
is an argument to lookupShaper
.
- main(String[]) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFormatter
-
- main(String[]) - Static method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
Prints out all matches of a semgrex pattern on a file of dependencies.
- main(String[]) - Static method in class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
-
Count some stats on what occurs in a file.
- main(String[]) - Static method in class edu.stanford.nlp.sequences.IOBUtils
-
Converts entity representation of a file.
- main(String[]) - Static method in class edu.stanford.nlp.stats.Distribution
-
For internal testing purposes only.
- main(String[]) - Static method in class edu.stanford.nlp.stats.GeneralizedCounter
-
for testing purposes only
- main(String[]) - Static method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
-
- main(String[]) - Static method in class edu.stanford.nlp.stats.SimpleGoodTuring
-
Like Sampson's SGT program, reads data from STDIN and writes results to
STDOUT.
- main(String[]) - Static method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.Dictionary
-
- main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.Extractors
-
Prints out the pair of Extractors
objects found in the
file that is the first and only argument.
- main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Command-line tagger interface.
- main(String[]) - Static method in class edu.stanford.nlp.trees.CollinsHeadFinder
-
Go through trees and determine their heads and print them.
- main(String[]) - Static method in class edu.stanford.nlp.trees.CoordinationTransformer
-
- main(String[]) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
Prints out the English grammatical relations hierarchy.
- main(String[]) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
-
- main(String[]) - Static method in class edu.stanford.nlp.trees.GrammaticalRelation
-
- main(String[]) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure
-
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
-
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankTokenizer
-
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
-
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.french.DybroFrenchHeadFinder
-
Go through trees and determine their heads and print them.
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.french.FrenchHeadFinder
-
Go through trees and determine their heads and print them.
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReader
-
For debugging.
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreeReaderFactory
-
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.negra.NegraPennTokenizer
-
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeReaderFactory
-
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
The main method reads (segmented, whitespace delimited) words from a file
and prints them with their English translation(s).
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
-
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
-
Mainly for testing.
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.pennchinese.CHTBTokenizer
-
The main() method tokenizes a file in the specified Encoding
and prints it to standard output in the specified Encoding.
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.pennchinese.RadicalMap
-
The main function reads a list of characters and outputs the list with corresponding
radicals.
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
Prints out the Chinese grammatical relations hierarchy.
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalStructure
-
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.spanish.SpanishHeadFinder
-
Go through trees and determine their heads and print them.
- main(String[]) - Static method in class edu.stanford.nlp.trees.MemoryTreebank
-
Loads treebank grammar from first argument and prints it.
- main(String[]) - Static method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
-
Prints a few aspects of the TreebankLanguagePack, just for debugging.
- main(String[]) - Static method in class edu.stanford.nlp.trees.PennTreeReader
-
Loads treebank data from first argument and prints it.
- main(String[]) - Static method in class edu.stanford.nlp.trees.QPTreeTransformer
-
- main(String[]) - Static method in class edu.stanford.nlp.trees.TransformingTreebank
-
Loads treebank grammar from first argument and prints it.
- main(String[]) - Static method in class edu.stanford.nlp.trees.TreeFunctions
-
This method just tests the functionality of the included transformers.
- main(String[]) - Static method in class edu.stanford.nlp.trees.TreeGraphNode
-
Just for testing.
- main(String[]) - Static method in class edu.stanford.nlp.trees.TreePrint
-
This provides a simple main method for calling TreePrint.
- main(String[]) - Static method in class edu.stanford.nlp.trees.Trees
-
- main(String[]) - Static method in class edu.stanford.nlp.trees.tregex.TregexPattern
-
Prints out all matches of a tree pattern on each tree in the path.
- main(String[]) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
-
Usage: java edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon [-s] -treeFile file-with-trees [-po matching-pattern operation] operation-file-1 operation-file-2 ...
- main(String[]) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
Prints out the English grammatical relations hierarchy.
- main(String[]) - Static method in class edu.stanford.nlp.trees.WordStemmer
-
Reads, stems, and prints the trees in the file.
- main(String[]) - Static method in class edu.stanford.nlp.util.ConcatenationIterator
-
- main(String[]) - Static method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
-
Test method: interns its arguments and says whether they == themselves.
- main(String[]) - Static method in class edu.stanford.nlp.util.ConfusionMatrix
-
- main(String[]) - Static method in class edu.stanford.nlp.util.EditDistance
-
- main(String[]) - Static method in class edu.stanford.nlp.util.FilteredIterator
-
- main(String[]) - Static method in class edu.stanford.nlp.util.IdentityHashSet
-
Just for testing.
- main(String[]) - Static method in class edu.stanford.nlp.util.Interner
-
Test method: interns its arguments and says whether they == themselves.
- main(String[]) - Static method in class edu.stanford.nlp.util.Iterables
-
For internal debugging purposes only.
- main(String[]) - Static method in class edu.stanford.nlp.util.logging.JavaUtilLoggingAdaptor
-
Simple test case.
- main(String[]) - Static method in class edu.stanford.nlp.util.logging.Redwood
-
Various informal tests of Redwood functionality.
- main(String[]) - Static method in class edu.stanford.nlp.util.Maps
-
- main(String[]) - Static method in class edu.stanford.nlp.util.MemoryMonitor
-
- main(String[]) - Static method in class edu.stanford.nlp.util.Sets
-
- main(String[]) - Static method in class edu.stanford.nlp.util.StringUtils
-
Tests the string edit distance function.
- main(String[]) - Static method in class edu.stanford.nlp.util.SystemUtils
-
- main(String[]) - Static method in class edu.stanford.nlp.util.XMLUtils
-
Tests a few methods.
- makeAnswerArraysAndTagIndex(Collection<List<IN>>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
This routine builds the labelIndices
which give the
empirically legal label sequences (of length (order) at most
windowSize
) and the classIndex
, which indexes
known answer classes.
- makeComposite(SUTime.PartialTime, SUTime.Time) - Static method in class edu.stanford.nlp.time.SUTime.Time
-
- makeConsistent - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- makeCopy() - Method in class edu.stanford.nlp.ling.IndexedWord
-
This copies the whole IndexedWord, incrementing a copy count.
- makeDatum(List<IN>, int, List<FeatureFactory<IN>>) - Method in class edu.stanford.nlp.ie.crf.CRFBiasedClassifier
-
- makeDatum(List<IN>, int, List<FeatureFactory<IN>>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Makes a CRFDatum by producing features and a label from input data at a
specific position, using the provided factory.
- makeDatum(List<IN>, int, List<FeatureFactory<IN>>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
Make an individual Datum out of the data list info, focused at position loc.
- makeDependency(Tree, Tree, Tree) - Method in interface edu.stanford.nlp.trees.DependencyTyper
-
Make a dependency given the Tree that is the head and the dependent,
both of which are contained within root.
- makeFromEdges(Iterable<SemanticGraphEdge>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
Given a list of edges, attempts to create and return a rooted SemanticGraph.
- makeFromGraphs(Collection<SemanticGraph>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
Given a list of graphs, constructs a new graph combined from the
collection of graphs.
- makeFromIndexArray(SemanticGraph, SemanticGraph, int[], double, String) - Static method in class edu.stanford.nlp.semgraph.semgrex.Alignment
-
Constructs and returns a new Alignment from the given hypothesis
SemanticGraph
to the given text (passage) SemanticGraph, using
the given array of indexes.
- makeFromIndexArray(SemanticGraph, SemanticGraph, int[]) - Static method in class edu.stanford.nlp.semgraph.semgrex.Alignment
-
- makeFromIndexArray(SemanticGraph, SemanticGraph, int[], double) - Static method in class edu.stanford.nlp.semgraph.semgrex.Alignment
-
- makeFromTree(Tree, SemanticGraphFactory.Mode, GrammaticalStructure.Extras, Predicate<TypedDependency>, boolean) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
- makeFromTree(Tree, SemanticGraphFactory.Mode, GrammaticalStructure.Extras, Predicate<TypedDependency>, boolean, boolean) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
Returns a new
SemanticGraph
constructed from a given
Tree
with given options.
- makeFromTree(GrammaticalStructure, SemanticGraphFactory.Mode, GrammaticalStructure.Extras, Predicate<TypedDependency>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
- makeFromTree(GrammaticalStructure, SemanticGraphFactory.Mode, boolean, Predicate<TypedDependency>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
Deprecated.
- makeFromTree(GrammaticalStructure) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
- makeFromTree(Tree, SemanticGraphFactory.Mode, GrammaticalStructure.Extras, Predicate<TypedDependency>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
- makeFromTree(Tree, SemanticGraphFactory.Mode, boolean, Predicate<TypedDependency>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
Deprecated.
- makeFromTree(Tree, SemanticGraphFactory.Mode, GrammaticalStructure.Extras) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
- makeFromTree(Tree, SemanticGraphFactory.Mode, boolean) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
Deprecated.
- makeFromVertices(SemanticGraph, Collection<IndexedWord>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
Given a set of vertices, and the source graph they are drawn from, create a path composed
of the minimum paths between the vertices.
- makeHTMLTable(String[][], String[], String[]) - Static method in class edu.stanford.nlp.util.StringUtils
-
Returns an HTML table containing the matrix of Strings passed in.
- makeInexact() - Method in class edu.stanford.nlp.time.SUTime.Duration
-
- makeLink() - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
-
- makeList(T...) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Returns a new List containing the given objects.
- makeObjectBankFromFile(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- makeObjectBankFromFile(String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- makeObjectBankFromFiles(String[], DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- makeObjectBankFromFiles(String, String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- makeObjectBankFromFiles(Collection<File>, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- makeObjectBankFromReader(BufferedReader, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Set up an ObjectBank that will allow one to iterate over a collection of
documents obtained from the passed in Reader.
- makeObjectBankFromString(String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Reads a String into an ObjectBank object.
- makeObjects(Tree) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.CatErrorEval
-
Unused.
- makeObjects(Tree) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- makeObjects(Tree) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.RuleErrorEval
-
- makeObjects(Tree) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.ScoreEval
-
- makePair(X, Y) - Static method in class edu.stanford.nlp.util.Pair
-
Returns a Pair constructed from X and Y.
- makePlainTextReaderAndWriter() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Makes a DocumentReaderAndWriter based on
flags.plainTextReaderAndWriter.
- makePPTOintoIN - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Change TO inside PP to IN.
- makeQuadruple(T1, T2, T3, T4) - Static method in class edu.stanford.nlp.util.Quadruple
-
Returns a Quadruple constructed from T1, T2, T3, and T4.
- makeReaderAndWriter() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Makes a DocumentReaderAndWriter based on the flags the CRFClassifier
was constructed with.
- makesCopulaHead() - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
-
Generally will be false, except for SemanticHeadFinder
- makesCopulaHead() - Method in interface edu.stanford.nlp.trees.CopulaHeadFinder
-
- makesCopulaHead() - Method in class edu.stanford.nlp.trees.SemanticHeadFinder
-
- makesCopulaHead() - Method in class edu.stanford.nlp.trees.UniversalSemanticHeadFinder
-
- makeSoftCopy(int) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- makeSoftCopy() - Method in class edu.stanford.nlp.ling.IndexedWord
-
- makeSoftCopy() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- makeSvmLabelMap() - Method in class edu.stanford.nlp.classify.GeneralDataset
-
Maps our labels to labels that are compatible with svm_light
- makeTagToColorMap(Set<String>, String) - Static method in class edu.stanford.nlp.ie.crf.NERGUI
-
- makeTextTable(Object[][], Object[], Object[], int, int, boolean) - Static method in class edu.stanford.nlp.util.StringUtils
-
Returns a text table containing the matrix of objects passed in.
- makeToken(String, int, int) - Method in class edu.stanford.nlp.process.CoreLabelTokenFactory
-
Constructs a CoreLabel as a String with a corresponding BEGIN and END position.
- makeToken(String, String, int, int) - Method in class edu.stanford.nlp.process.CoreLabelTokenFactory
-
Constructs a CoreLabel as a String with a corresponding BEGIN and END position,
when the original OriginalTextAnnotation is different from TextAnnotation
(Does not take substring).
- makeToken() - Method in class edu.stanford.nlp.process.CoreLabelTokenFactory
-
- makeToken(String[], String[]) - Method in class edu.stanford.nlp.process.CoreLabelTokenFactory
-
- makeToken(CoreLabel) - Method in class edu.stanford.nlp.process.CoreLabelTokenFactory
-
- makeToken() - Method in interface edu.stanford.nlp.process.CoreTokenFactory
-
- makeToken(String[], String[]) - Method in interface edu.stanford.nlp.process.CoreTokenFactory
-
- makeToken(IN) - Method in interface edu.stanford.nlp.process.CoreTokenFactory
-
- makeToken(String, int, int) - Method in interface edu.stanford.nlp.process.LexedTokenFactory
-
Constructs a token (of arbitrary type) from a String and its position
in the underlying text.
- makeToken(String, int, int) - Method in class edu.stanford.nlp.process.WordTokenFactory
-
- makeTriple(X, Y, Z) - Static method in class edu.stanford.nlp.util.Triple
-
Returns a Triple constructed from X, Y, and Z.
- MaleGazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MaleGazAnnotation
-
- maleNameList - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- map - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- map(String, String) - Method in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
-
- map - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- map(String, String) - Method in interface edu.stanford.nlp.trees.treebank.Mapper
-
Maps from one string representation to another.
- map - Variable in class edu.stanford.nlp.util.Interner
-
- MAP_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- MAP_KEYS_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- MAP_VALUE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- MAP_VALUES_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- mapDataset(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.GeneralDataset
-
- mapDataset(GeneralDataset<L, F>, Index<L2>, Map<L, L2>, L2) - Method in class edu.stanford.nlp.classify.GeneralDataset
-
- mapDatum(Datum<L, F>, Map<L, L2>, L2) - Static method in class edu.stanford.nlp.classify.GeneralDataset
-
- mapDependencies(Predicate<Dependency<Label, Label, Object>>, HeadFinder) - Method in class edu.stanford.nlp.trees.Tree
-
Return a set of Label-Label dependencies, represented as
Dependency objects, for the Tree.
- mapDependencies(Predicate<Dependency<Label, Label, Object>>, HeadFinder, String) - Method in class edu.stanford.nlp.trees.Tree
-
Return a set of Label-Label dependencies, represented as
Dependency objects, for the Tree.
- MapFactory<K,V> - Class in edu.stanford.nlp.util
-
A factory class for vending different sorts of Maps.
- MapFactory() - Constructor for class edu.stanford.nlp.util.MapFactory
-
- Mapper - Interface in edu.stanford.nlp.trees.treebank
-
Generic interface for mapping one string to another given some contextual evidence.
- Maps - Class in edu.stanford.nlp.util
-
Utilities for Maps, including inverting, composing, and support for list/set values.
- mapStringToArray(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Takes a string of the form "x1=y1,x2=y2,..." such
that each y is an integer and each x is a key.
- mapStringToMap(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Takes a string of the form "x1=y1,x2=y2,..." and returns Map.
- mapTree(Tree) - Static method in class edu.stanford.nlp.trees.UniversalPOSMapper
-
- MARCH - Static variable in class edu.stanford.nlp.time.SUTime
-
- mark(int) - Method in class edu.stanford.nlp.io.ReaderInputStream
-
Marks the read limit of the StringReader.
- MARK - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "marker" (mark) grammatical relation.
- markADgrandchildOfIP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: mark ADs that are grandchild of IP.
- markBoundary() - Method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
-
- markBoundary() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- markCC - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Mark phrases which are conjunctions.
- markCC - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Mark phrases which are conjunctions.
- markContainedVP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
- markDitransV - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Attempt to record ditransitive verbs.
- MARKER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "marker" grammatical relation.
- MARKER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "marker" grammatical relation.
- markFinalStates - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Whether or not to mark final states in binarized grammar.
- markHeadNodes(Tree) - Method in class edu.stanford.nlp.trees.TreePrint
-
- MarkingAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MarkingAnnotation
-
- markIPadjsubj - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- markIPconj - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: mark IPs that are conjuncts.
- markIPsisDEC - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: mark IPs that are part of prenominal modifiers.
- markIPsisterBA - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: mark IPs that are sister of BA.
- markIPsisterVVorP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: mark IP's that are sister of VV or P.
- markModifiedNP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: mark left-modified NPs (rightmost NPs with a left-side
mod).
- markMultiNtag - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: mark nominal tags that are part of multi-nominal
rewrites.
- markNPconj - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: mark NPs that are conjuncts.
- markNPmodNP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: mark NP modifiers of NPs.
- markovFactor - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Whether to do "horizontal Markovization" (as in ACL 2003 paper).
- markovOrder - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- markPostverbalP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: mark P with a left aunt VV, and PP with a left sister
VV.
- markPostverbalPP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- markPsisterIP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: mark P's that are sister of IP.
- markReflexivePRP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Mark reflexive PRP words.
- markStrahler - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Horton-Strahler number/dimension (Maximilian Schlund)
- markSupported() - Method in class edu.stanford.nlp.io.ReaderInputStream
-
- markTargetString(String, String, String, String, boolean) - Static method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
- markTimeRanges - Variable in class edu.stanford.nlp.time.Options
-
- markUnary - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Mark all unary nodes specially.
- markUnaryTags - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Mark POS tags which are the sole member of their phrasal constituent.
- markVPadjunct - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: mark phrases that are adjuncts of VP (these tend to be
locatives/temporals, and have a specific distribution).
- markVVsisterIP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: mark VVs that are sister of IP (communication &
small-clause-taking verbs).
- match(Integer) - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.IntegerAnnotationPattern
-
- match(M) - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern
-
- match(M, Map<K, Object>) - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern
-
- match(Object) - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.NilAnnotationPattern
-
- match(Object) - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.NotNilAnnotationPattern
-
- match(Object) - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.NumericAnnotationPattern
-
- match(Number) - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.NumericAnnotationPattern
-
- match(String) - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.NumericAnnotationPattern
-
- match(List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.SequenceRegexPattern
-
- match(String) - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.StringAnnotationPattern
-
- match(String) - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.StringAnnotationRegexPattern
-
- match(String) - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.StringInSetAnnotationPattern
-
- match(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionNodePattern
-
- match(List<? extends CoreMap>, int) - Method in class edu.stanford.nlp.ling.tokensregex.MultiCoreMapNodePattern
-
- match(List<? extends CoreMap>, int) - Method in class edu.stanford.nlp.ling.tokensregex.MultiCoreMapNodePattern.StringSequenceAnnotationPattern
-
- match(List<? extends T>, int) - Method in class edu.stanford.nlp.ling.tokensregex.MultiNodePattern.IntersectMultiNodePattern
-
- match(List<? extends T>, int) - Method in class edu.stanford.nlp.ling.tokensregex.MultiNodePattern
-
Tries to match sequence of nodes starting of start
Returns intervals (token offsets) of when the nodes matches
- match(List<? extends T>, int) - Method in class edu.stanford.nlp.ling.tokensregex.MultiNodePattern.UnionMultiNodePattern
-
- match(T) - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern.AnyNodePattern
-
- match(T) - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern.ConjNodePattern
-
- match(T) - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern.DisjNodePattern
-
- match(T) - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern.EqualsNodePattern
-
- match(T) - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern
-
Returns true if the input node matches this pattern
- match(T) - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern.NegateNodePattern
-
- MATCH_STATE - Static variable in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
An accepting matching state
- MatchedExpression - Class in edu.stanford.nlp.ling.tokensregex
-
Matched Expression represents a chunk of text that was matched from an original segment of text.
- MatchedExpression(MatchedExpression) - Constructor for class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- MatchedExpression(Interval<Integer>, Interval<Integer>, MatchedExpression.SingleAnnotationExtractor, double, double) - Constructor for class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- MatchedExpression.SingleAnnotationExtractor - Class in edu.stanford.nlp.ling.tokensregex
-
Function that takes a CoreMap, applies an extraction function to it, to get a value.
- matchedExpressionGroup - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
Which group to take as the matched expression - default is 0
- MatchedGroup(BasicSequenceMatchResult.MatchedGroup) - Constructor for class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult.MatchedGroup
-
- MatchedGroup(int, int, Object) - Constructor for class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult.MatchedGroup
-
- MatchedGroupInfo(String, List<? extends T>, List<Object>, Object, String) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchResult.MatchedGroupInfo
-
- matcher(List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.SequenceRegexPattern
-
- matcher(String) - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.StringAnnotationRegexPattern
-
- matcher(List<? extends CoreMap>) - Method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
-
Returns a TokenSequenceMatcher that can be used to match this pattern
against the specified list of tokens.
- matcher(SemanticGraph, IndexedWord, Map<String, IndexedWord>, Map<String, String>, VariableStrings, boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
-
- matcher(SemanticGraph, Alignment, SemanticGraph, boolean, IndexedWord, Map<String, IndexedWord>, Map<String, String>, VariableStrings, boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
-
- matcher(SemanticGraph, IndexedWord, Map<String, IndexedWord>, Map<String, String>, VariableStrings, boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
-
- matcher(SemanticGraph, Alignment, SemanticGraph, boolean, IndexedWord, Map<String, IndexedWord>, Map<String, String>, VariableStrings, boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
-
- matcher(SemanticGraph) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
- matcher(SemanticGraph, IndexedWord) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
- matcher(SemanticGraph, Map<String, IndexedWord>) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
Get a
SemgrexMatcher
for this pattern in this graph, with some
initial conditions on the variable assignments
- matcher(SemanticGraph, boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
- matcher(SemanticGraph, Alignment, SemanticGraph) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
- matcher(SemanticGraph, Alignment, SemanticGraph, boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
- matcher(Tree, Tree, IdentityHashMap<Tree, Tree>, Map<String, Tree>, VariableStrings, HeadFinder) - Method in class edu.stanford.nlp.trees.tregex.DescriptionPattern
-
- matcher(Tree) - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
-
- matcher(Tree, HeadFinder) - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
-
- matcher(Map<String, Tree>, CoindexationGenerator) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.AdjoinToFootNode
-
- matcher(Map<String, Tree>, CoindexationGenerator) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.CreateSubtreeNode
-
- matcher(Map<String, Tree>, CoindexationGenerator) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.ExciseNode
-
- matcher(Map<String, Tree>, CoindexationGenerator) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.FetchNode
-
- matcher() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonPattern
-
- matcher(Map<String, Tree>, CoindexationGenerator) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonPattern
-
- matches(EntityBIO, int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
-
- matches(Map<K, Object>, Map<K, Object>) - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.AttributesEqualMatchChecker
-
- matches(CoreMap, CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.AttributesEqualMatchChecker
-
- matches() - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
Checks if the pattern matches the entire sequence
- matches(T, T) - Method in interface edu.stanford.nlp.ling.tokensregex.SequencePattern.NodesMatchChecker
-
- matches() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
-
Does the pattern match the graph? It's actually closer to
java.util.regex's "lookingAt" in that the root of the graph has to match
the root of the pattern but the whole tree does not have to be "accounted
for".
- matches() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
-
Does the pattern match the tree? It's actually closer to java.util.regex's
"lookingAt" in that the root of the tree has to match the root of the pattern
but the whole tree does not have to be "accounted for".
- matches(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.LogFilter.ContainsMessage
-
- matches(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.LogFilter.HasChannel
-
- matches(Redwood.Record) - Method in interface edu.stanford.nlp.util.logging.LogFilter
-
- matches(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.LogFilter.MatchesMessage
-
- matches(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Say whether this regular expression matches
this String.
- matchesAt(IndexedWord) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
-
Rests the matcher and tests if it matches in the graph when rooted at
node
.
- matchesAt(Tree) - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
-
Resets the matcher and tests if it matches on the tree when rooted at node
.
- MatchesMessage(Object) - Constructor for class edu.stanford.nlp.util.logging.LogFilter.MatchesMessage
-
- matchFindType - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
- matchLength() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult.MatchedGroup
-
- matchNERIncentive - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- matchPatternToVertex(String, IndexedWord, boolean) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- matchPatternToVertex(String, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- matchResults - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchResult.MatchedGroupInfo
-
- matchWithResult(M) - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern
-
- matchWithResult(List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.SequenceRegexPattern
-
- matchWithResult(String) - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.StringAnnotationRegexPattern
-
- matchWithResult(T) - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern
-
Returns result associated with the match
- matchWithResults - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
- max(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- max(Collection<Double>) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- max(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- max(int...) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- max(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Returns the smallest element of the matrix
- max(int, int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
-
max() that works on three integers.
- max(Collection<Integer>) - Static method in class edu.stanford.nlp.math.SloppyMath
-
- max(float, float) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Returns the greater of two float
values.
- max(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Returns the greater of two double
values.
- MAX - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- max(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns the value of the maximum entry in this counter.
- max(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns the value of the maximum entry in this counter.
- max() - Method in class edu.stanford.nlp.stats.IntCounter
-
Finds and returns the largest count in this Counter.
- max(SUTime.Duration, SUTime.Duration) - Static method in class edu.stanford.nlp.time.SUTime.Duration
-
- max(SUTime.Time, SUTime.Time) - Static method in class edu.stanford.nlp.time.SUTime.Time
-
- max(E, E) - Static method in class edu.stanford.nlp.util.Interval
-
- MAX_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- MAX_ITEMS - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
The maximum number of edges and hooks combined that the factored parser
will build before giving up.
- MAX_LEGAL - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
-
- MAX_SWAPS - Static variable in class edu.stanford.nlp.util.MemoryMonitor
-
- maxAdditionalKnownLCWords - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
How many words it is okay to add to knownLCWords after initial training.
- maxAllowedChromaticSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- maxBeamSize - Variable in class edu.stanford.nlp.util.Beam
-
- maxDocSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- MaxentTagger - Class in edu.stanford.nlp.tagger.maxent
-
The main class for users to run, train, and test the part of speech tagger.
- MaxentTagger() - Constructor for class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- MaxentTagger(TaggerConfig) - Constructor for class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- MaxentTagger(String) - Constructor for class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Constructor for a tagger, loading a model stored in a particular file,
classpath resource, or URL.
- MaxentTagger(InputStream) - Constructor for class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Constructor for a tagger, loading a model stored in a particular file,
classpath resource, or URL.
- MaxentTagger(String, Properties) - Constructor for class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Constructor for a tagger using a model stored in a particular file,
with options taken from the supplied TaggerConfig.
- MaxentTagger(String, Properties, boolean) - Constructor for class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Initializer that loads the tagger.
- MaxentTagger(InputStream, Properties, boolean) - Constructor for class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Initializer that loads the tagger.
- maxentTagger - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- maximalProjection(Tree, Tree, HeadFinder) - Static method in class edu.stanford.nlp.trees.Trees
-
returns the maximal projection of
head
in
root
given a
HeadFinder
- maximumValue(DateTimeFieldType, ReadableDateTime) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
Return the maximum value of a field, closest to the reference time
- maxIndex(List<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
- maxInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Places the maximum of first and second keys values in the first counter.
- maxIter - Variable in class edu.stanford.nlp.parser.nndep.Config
-
Maximum number of iterations for training
- maxIterations - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- maxLeft() - Method in class edu.stanford.nlp.sequences.Clique
-
Convenience method for finding the most far left
relative index.
- maxLeft - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- maxLength - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
The maximum sentence length (including punctuation, etc.) to parse.
- maxNGramLeng - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- maxQNItr - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- maxRight() - Method in class edu.stanford.nlp.sequences.Clique
-
Convenience method for finding the most far right
relative index.
- maxRight - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- MaxSizeConcurrentHashSet<E> - Class in edu.stanford.nlp.util
-
A hash set supporting full concurrency of retrievals and
high expected concurrency for updates but with an (adjustable) maximum size.
- MaxSizeConcurrentHashSet() - Constructor for class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
Create a ConcurrentHashSet with no maximum size.
- MaxSizeConcurrentHashSet(int) - Constructor for class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
Create a ConcurrentHashSet with the maximum size given.
- MaxSizeConcurrentHashSet(Set<? extends E>) - Constructor for class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
Create a ConcurrentHashSet with the elements in s.
- maxSpanForTags - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
The largest span to consider for word-hood.
- maxTime - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
-
- maxTime - Variable in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
-
- maxTime - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- maxTrainTimeSeconds - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- maxWaitTimeInMillis() - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ApproximateRepeatSemantics
-
- maxWaitTimeInMillis() - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ExactRepeatSemantics
-
- maxWaitTimeInMillis() - Method in interface edu.stanford.nlp.util.logging.RepeatedRecordHandler.RepeatSemantics
-
- maxY - Variable in class edu.stanford.nlp.maxent.Experiments
-
- MAY - Static variable in class edu.stanford.nlp.time.SUTime
-
- mean(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- mean(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Return the mean of an array of int.
- mean(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns the mean of all the counts (totalCount/size).
- median(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- memory - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- MemoryEvaluator - Class in edu.stanford.nlp.optimization
-
Evaluate current memory usage
- MemoryEvaluator() - Constructor for class edu.stanford.nlp.optimization.MemoryEvaluator
-
- MemoryMonitor - Class in edu.stanford.nlp.util
-
Utilities for monitoring memory use, including peak memory use.
- MemoryMonitor() - Constructor for class edu.stanford.nlp.util.MemoryMonitor
-
- MemoryMonitor(long) - Constructor for class edu.stanford.nlp.util.MemoryMonitor
-
- MemoryMonitor.PeakMemoryMonitor - Class in edu.stanford.nlp.util
-
This class offers a simple way to track the peak memory used by a program.
- memoryThrift - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
returns a MemoryTreebank appropriate to the treebank source
- memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
-
- memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Uses a MemoryTreebank with a CHTBTokenizer and a
BobChrisTreeNormalizer
- memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
Allows you to read in trees from the source you want.
- memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
-
- memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
-
- memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
-
- memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
-
- memoryTreebank() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
returns a MemoryTreebank appropriate to the treebank source
- MemoryTreebank - Class in edu.stanford.nlp.trees
-
A MemoryTreebank
object stores a corpus of examples with
given tree structures in memory (as a List
).
- MemoryTreebank() - Constructor for class edu.stanford.nlp.trees.MemoryTreebank
-
Create a new tree bank.
- MemoryTreebank(TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.MemoryTreebank
-
Create a new tree bank, using a specific TreeNormalizer.
- MemoryTreebank(String) - Constructor for class edu.stanford.nlp.trees.MemoryTreebank
-
Create a new tree bank, set the encoding for file access
- MemoryTreebank(TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.MemoryTreebank
-
Create a new tree bank.
- MemoryTreebank(TreeReaderFactory, String) - Constructor for class edu.stanford.nlp.trees.MemoryTreebank
-
Create a new tree bank.
- MemoryTreebank(List<Tree>, TreeReaderFactory, String) - Constructor for class edu.stanford.nlp.trees.MemoryTreebank
-
Create a new tree bank.
- MemoryTreebank(int) - Constructor for class edu.stanford.nlp.trees.MemoryTreebank
-
Create a new Treebank.
- MemoryTreebank(int, TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.MemoryTreebank
-
Create a new tree bank.
- MentionsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MentionsAnnotation
-
- MentionTokenAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MentionTokenAnnotation
-
- merge(Classifier.Cost) - Method in class edu.stanford.nlp.parser.nndep.Classifier.Cost
-
Merge the given Cost
data with the data in this
instance.
- merge(List<? extends CoreMap>, int, int) - Method in class edu.stanford.nlp.pipeline.CoreMapAggregator
-
- merge(List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAggregator
-
- merge(List<? extends CoreMap>, List<? extends HasInterval<Integer>>) - Method in class edu.stanford.nlp.pipeline.CoreMapAggregator
-
- merge(List<? extends CoreMap>, List<M>, Function<M, Interval<Integer>>) - Method in class edu.stanford.nlp.pipeline.CoreMapAggregator
-
- merge(Iterable<V1>, Iterable<V2>, Iterables.IncrementComparator<V1, V2>) - Static method in class edu.stanford.nlp.util.Iterables
-
Iterates over pairs of objects from two (sorted) iterators such that
each pair a \in iter1, b \in iter2 returned has comparator.compare(a,b)==0.
- merge(Iterable<V>, Iterable<V>, Comparator<V>) - Static method in class edu.stanford.nlp.util.Iterables
-
- merge(Iterable<V1>, Iterable<V2>, Iterable<V3>, Iterables.IncrementComparator<V1, V2>, Iterables.IncrementComparator<V1, V3>) - Static method in class edu.stanford.nlp.util.Iterables
-
Iterates over triples of objects from three (sorted) iterators such that
for every returned triple a (from iter1), b (from iter2), c (from iter3)
satisfies the constraint that comparator.compare(a,b) ==
comparator.compare(a,c) == 0
.
- merge(Iterable<V>, Iterable<V>, Iterable<V>, Comparator<V>) - Static method in class edu.stanford.nlp.util.Iterables
-
- MergeAction() - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction.MergeAction
-
- MergeAction(CoreMapAggregator) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction.MergeAction
-
- mergeChunks(List<CoreMap>, String, int, int) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Merge chunks from chunkIndexStart to chunkIndexEnd (exclusive) and replace them in the list.
- mergeGroup() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
-
- mergeGroup(int) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
-
- mergeList(List<? extends T>, Collection<M>, Function<M, Interval<Integer>>, Function<List<? extends T>, T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
- mergeList(List<? extends T>, List<? extends HasInterval<Integer>>, Function<List<? extends T>, T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
- mergeListWithSortedMatched(List<? extends T>, List<? extends HasInterval<Integer>>, Function<List<? extends T>, T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
- mergeListWithSortedMatchedPreAggregated(List<? extends T>, List<? extends T>, Function<T, Interval<Integer>>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
- mergeNNVV - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: merge NN and VV.
- mergeTags - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- message(int) - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ApproximateRepeatSemantics
-
- message(int) - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ExactRepeatSemantics
-
- message(int) - Method in interface edu.stanford.nlp.util.logging.RepeatedRecordHandler.RepeatSemantics
-
- meta - Variable in class edu.stanford.nlp.optimization.SMDMinimizer
-
- MetaClass - Class in edu.stanford.nlp.util
-
A meta class using Java's reflection library.
- MetaClass(String) - Constructor for class edu.stanford.nlp.util.MetaClass
-
Creates a new MetaClass producing objects of the given type
- MetaClass(Class<?>) - Constructor for class edu.stanford.nlp.util.MetaClass
-
Creates a new MetaClass producing objects of the given type
- MetaClass.ClassCreationException - Exception in edu.stanford.nlp.util
-
- MetaClass.ClassFactory<T> - Class in edu.stanford.nlp.util
-
- MetaClass.ConstructorNotFoundException - Exception in edu.stanford.nlp.util
-
- method - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
- MethodCallExpression(Env, Expression) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- MethodCallExpression(String, Expression, List<Expression>, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.MethodCallExpression
-
- mf - Variable in class edu.stanford.nlp.util.CollectionValuedMap
-
- mf - Variable in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
- mid() - Method in class edu.stanford.nlp.time.SUTime.Range
-
- MID_DOT_REGEX_STR - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
-
- MIDNIGHT - Static variable in class edu.stanford.nlp.time.SUTime
-
- MILLENNIUM - Static variable in class edu.stanford.nlp.time.SUTime
-
- millis - Variable in class edu.stanford.nlp.time.SUTime.IsoTime
-
- MILLIS - Static variable in class edu.stanford.nlp.time.SUTime
-
- min(double...) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- min(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- min(int...) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- min(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Returns the smallest element of the matrix
- min(int, int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Returns the minimum of three int values.
- min(float, float) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Returns the smaller of two float
values.
- min(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Returns the smaller of two double
values.
- MIN - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- min(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns the value of the smallest entry in this counter.
- min() - Method in class edu.stanford.nlp.stats.IntCounter
-
Finds and returns the smallest count in this Counter.
- min(SUTime.Duration, SUTime.Duration) - Static method in class edu.stanford.nlp.time.SUTime.Duration
-
- min(SUTime.Time, SUTime.Time) - Static method in class edu.stanford.nlp.time.SUTime.Time
-
- min() - Method in class edu.stanford.nlp.util.ArrayHeap
-
Finds the object with the minimum key and returns it, without
modifying the heap.
- min() - Method in interface edu.stanford.nlp.util.Heap
-
Returns the minimum Object in this heap.
- min(E, E) - Static method in class edu.stanford.nlp.util.Interval
-
- MIN_FEATURE_THRESH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- MIN_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- MIN_PROBABILITY - Static variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
- MIN_WORDS_LOCK_TAGS - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- minimal() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
The default Redwood configuration, which prints to the console without channels.
- minimallyNormalizeCurrency(String) - Static method in class edu.stanford.nlp.process.LexerUtils
-
Still at least turn cp1252 euro symbol to Unicode one.
- minimize(DiffFunction, double, double[]) - Method in class edu.stanford.nlp.optimization.CGMinimizer
-
- minimize(DiffFunction, double, double[], int) - Method in class edu.stanford.nlp.optimization.CGMinimizer
-
- minimize(DoubleUnaryOperator, double, double, double) - Method in class edu.stanford.nlp.optimization.GoldenSectionLineSearch
-
- minimize(DoubleUnaryOperator) - Method in class edu.stanford.nlp.optimization.GoldenSectionLineSearch
-
- minimize(DiffFunction, double, double[]) - Method in class edu.stanford.nlp.optimization.HybridMinimizer
-
Attempts to find an unconstrained minimum of the objective
function
starting at initial
, accurate to
within functionTolerance
(normally implemented as
a multiplier of the range value to give range tolerance).
- minimize(DiffFunction, double, double[], int) - Method in class edu.stanford.nlp.optimization.HybridMinimizer
-
Attempts to find an unconstrained minimum of the objective
function
starting at initial
, accurate to
within functionTolerance
(normally implemented as
a multiplier of the range value to give range tolerance), but
running only for at most maxIterations
iterations.
- minimize(DoubleUnaryOperator) - Method in interface edu.stanford.nlp.optimization.LineSearcher
-
Attempts to find an unconstrained minimum of the objective function
starting at initial
, within functionTolerance
.
- minimize(T, double, double[]) - Method in interface edu.stanford.nlp.optimization.Minimizer
-
Attempts to find an unconstrained minimum of the objective
function
starting at initial
, accurate to
within functionTolerance
(normally implemented as
a multiplier of the range value to give range tolerance).
- minimize(T, double, double[], int) - Method in interface edu.stanford.nlp.optimization.Minimizer
-
Attempts to find an unconstrained minimum of the objective
function
starting at initial
, accurate to
within functionTolerance
(normally implemented as
a multiplier of the range value to give range tolerance), but
running only for at most maxIterations
iterations.
- minimize(DiffFloatFunction, float, float[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- minimize(DiffFunction, double, double[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- minimize(DiffFunction, double, double[], int) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- minimize(DiffFunction, double, double[], int, QNMinimizer.QNInfo) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- minimize(Function, double, double[]) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
-
- minimize(Function, double, double[], int) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
-
- minimize(DiffFunction, double, double[]) - Method in class edu.stanford.nlp.optimization.SGDToQNMinimizer
-
- minimize(DiffFunction, double, double[], int) - Method in class edu.stanford.nlp.optimization.SGDToQNMinimizer
-
- minimize(DiffFunction, double, double[]) - Method in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
-
- minimize(DiffFunction, double, double[], int) - Method in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
-
- minimize(Function, double, double[]) - Method in class edu.stanford.nlp.optimization.SMDMinimizer
-
- minimize(Function, double, double[]) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- minimize(Function, double, double[], int) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- Minimizer<T extends Function> - Interface in edu.stanford.nlp.optimization
-
The interface for unconstrained function minimizers.
- minimumValue(DateTimeFieldType, ReadableDateTime) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
Return the minimum value of a field, closest to the reference time
- minInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Places the minimum of first and second keys values in the first counter.
- minLineCountForTrackNameReminder - Variable in class edu.stanford.nlp.util.logging.OutputHandler
-
Number of lines above which the closing brace of a track shows the name of the
track
- minus(DoubleAD, DoubleAD) - Static method in class edu.stanford.nlp.math.ADMath
-
- minusConst(DoubleAD, double) - Static method in class edu.stanford.nlp.math.ADMath
-
- minusEquals(DoubleAD) - Method in class edu.stanford.nlp.math.DoubleAD
-
- minusEqualsConst(double) - Method in class edu.stanford.nlp.math.DoubleAD
-
- minute - Variable in class edu.stanford.nlp.time.SUTime.IsoTime
-
- MINUTE - Static variable in class edu.stanford.nlp.time.SUTime
-
- minWordsLockTags - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- MISSING_PHRASAL - Static variable in class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReader
-
- MISSING_POS - Static variable in class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReader
-
- mixedCaseMapFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- mkT2DArray(Class<?>, int[]) - Static method in class edu.stanford.nlp.util.ErasureUtils
-
- mkTArray(Class<?>, int) - Static method in class edu.stanford.nlp.util.ErasureUtils
-
Makes an array based on klass, but casts it to be of type T[].
- MLEDependencyGrammar - Class in edu.stanford.nlp.parser.lexparser
-
- MLEDependencyGrammar(TreebankLangParserParams, boolean, boolean, boolean, boolean, Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
- MLEDependencyGrammar(TagProjection, TreebankLangParserParams, boolean, boolean, boolean, Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
- MLEDependencyGrammarExtractor - Class in edu.stanford.nlp.parser.lexparser
-
Gathers statistics on tree dependencies and then passes them to an
MLEDependencyGrammar for dependency grammar construction.
- MLEDependencyGrammarExtractor(Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
-
- MLEDependencyGrammarSmoothingParams() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Give the parameters for smoothing in the MLEDependencyGrammar.
- MLEDependencyGrammarSmoothingParams() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- MLEDependencyGrammarSmoothingParams() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
Give the parameters for smoothing in the MLEDependencyGrammar.
- mod - Variable in class edu.stanford.nlp.time.SUTime.Temporal
-
- MOD_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- MODAL_VERB - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "modal" grammatical relation.
- MODAL_VERB - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "modal" grammatical relation.
- ModCollinsHeadFinder - Class in edu.stanford.nlp.trees
-
Implements a variant on the HeadFinder found in Michael Collins' 1999
thesis.
- ModCollinsHeadFinder() - Constructor for class edu.stanford.nlp.trees.ModCollinsHeadFinder
-
- ModCollinsHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.ModCollinsHeadFinder
-
- mode(Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Returns the mode in the Collection.
- modes(Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Returns a list of all modes in the Collection.
- MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "modifier" grammatical relation.
- MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "modifier" grammatical relation.
- MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "modifier" (mod) grammatical relation (abstract).
- MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "modifier" grammatical relation.
- MONDAY - Static variable in class edu.stanford.nlp.time.SUTime
-
- MONEY_TAG - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- month - Variable in class edu.stanford.nlp.time.SUTime.IsoDate
-
Month of Year
- MONTH - Static variable in class edu.stanford.nlp.time.SUTime
-
- MONTH_OF_HALF_YEAR - Static variable in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
- MonthAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MonthAnnotation
-
- MONTHLY - Static variable in class edu.stanford.nlp.time.SUTime
-
- MonthOfHalfYear - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
-
- MonthOfQuarter - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
-
- MORNING - Static variable in class edu.stanford.nlp.time.SUTime
-
- MORNING_TWILIGHT - Static variable in class edu.stanford.nlp.time.SUTime
-
- morphBoundary - Static variable in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
-
- morphFeatureFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- morphFeatureSpec() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns a morphological feature specification for words in this language.
- morphFeatureSpec() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
-
- morphFeatureSpec() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
-
- morphFeatureSpec() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
The morphological feature specification for the language.
- morphId() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
-
- MORPHO_MARK - Static variable in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
-
- MorphoCaseAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MorphoCaseAnnotation
-
- MorphoFeatures - Class in edu.stanford.nlp.international.morph
-
Holds a set of morphosyntactic features for a given surface form.
- MorphoFeatures() - Constructor for class edu.stanford.nlp.international.morph.MorphoFeatures
-
- MorphoFeatures(MorphoFeatures) - Constructor for class edu.stanford.nlp.international.morph.MorphoFeatures
-
- MorphoFeatureSpecification - Class in edu.stanford.nlp.international.morph
-
Morphological feature specification for surface forms in a given language.
- MorphoFeatureSpecification() - Constructor for class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
-
- MorphoFeatureSpecification.MorphoFeatureType - Enum in edu.stanford.nlp.international.morph
-
- MorphoGenAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MorphoGenAnnotation
-
- Morphology - Class in edu.stanford.nlp.process
-
Morphology computes the base form of English words, by removing just
inflections (not derivational morphology).
- Morphology() - Constructor for class edu.stanford.nlp.process.Morphology
-
- Morphology(Reader) - Constructor for class edu.stanford.nlp.process.Morphology
-
Process morphologically words from a Reader.
- Morphology(Reader, int) - Constructor for class edu.stanford.nlp.process.Morphology
-
- MorphoNumAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MorphoNumAnnotation
-
- MorphoPersAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MorphoPersAnnotation
-
- MOST_FREQ - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- MostFreqAggregator() - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.MostFreqAggregator
-
- MostFreqAggregator(Set<Object>) - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.MostFreqAggregator
-
- mu - Variable in class edu.stanford.nlp.optimization.SMDMinimizer
-
- mult(DoubleAD, DoubleAD) - Static method in class edu.stanford.nlp.math.ADMath
-
- multConst(DoubleAD, double) - Static method in class edu.stanford.nlp.math.ADMath
-
- MULTI_TOKEN_PATTERN_EXTRACT_RULE_CREATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- MULTI_WORD_EXPRESSION - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "multi-word expression" grammatical relation.
- MULTI_WORD_EXPRESSION - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "multi-word expression" grammatical relation.
- MultiClassAccuracyStats<L> - Class in edu.stanford.nlp.stats
-
- MultiClassAccuracyStats() - Constructor for class edu.stanford.nlp.stats.MultiClassAccuracyStats
-
- MultiClassAccuracyStats(int) - Constructor for class edu.stanford.nlp.stats.MultiClassAccuracyStats
-
- MultiClassAccuracyStats(String) - Constructor for class edu.stanford.nlp.stats.MultiClassAccuracyStats
-
- MultiClassAccuracyStats(String, int) - Constructor for class edu.stanford.nlp.stats.MultiClassAccuracyStats
-
- MultiClassAccuracyStats(ProbabilisticClassifier<L, F>, GeneralDataset<L, F>, String) - Constructor for class edu.stanford.nlp.stats.MultiClassAccuracyStats
-
- MultiClassAccuracyStats(ProbabilisticClassifier<L, F>, GeneralDataset<L, F>, String, int) - Constructor for class edu.stanford.nlp.stats.MultiClassAccuracyStats
-
- MultiClassChunkEvalStats - Class in edu.stanford.nlp.stats
-
Calculates phrase based precision and recall (similar to conlleval)
Handles various encodings such as IO, IOB, IOE, BILOU, SBEIO, []
Usage: java edu.stanford.nlp.stats.MultiClassChunkEvalStats [options] < filename
-r - Do raw token based evaluation
-d delimiter - Specifies delimiter to use (instead of tab)
-b boundary - Boundary token (default is -X- )
-t defaultTag - Default tag to use if tag is not prefixed (i.e.
- MultiClassChunkEvalStats(Classifier<String, F>, GeneralDataset<String, F>, String) - Constructor for class edu.stanford.nlp.stats.MultiClassChunkEvalStats
-
- MultiClassChunkEvalStats(String) - Constructor for class edu.stanford.nlp.stats.MultiClassChunkEvalStats
-
- MultiClassChunkEvalStats(Index<String>, String) - Constructor for class edu.stanford.nlp.stats.MultiClassChunkEvalStats
-
- MultiClassPrecisionRecallExtendedStats<L> - Class in edu.stanford.nlp.stats
-
Extension of MultiClassPrecisionRecallStats that also computes accuracy
- MultiClassPrecisionRecallExtendedStats(Classifier<L, F>, GeneralDataset<L, F>, L) - Constructor for class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- MultiClassPrecisionRecallExtendedStats(L) - Constructor for class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- MultiClassPrecisionRecallExtendedStats(Index<L>, L) - Constructor for class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- MultiClassPrecisionRecallExtendedStats.MultiClassStringLabelStats - Class in edu.stanford.nlp.stats
-
- MultiClassPrecisionRecallExtendedStats.StringStringConverter - Class in edu.stanford.nlp.stats
-
- MultiClassPrecisionRecallStats<L> - Class in edu.stanford.nlp.stats
-
- MultiClassPrecisionRecallStats(Classifier<L, F>, GeneralDataset<L, F>, L) - Constructor for class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
- MultiClassPrecisionRecallStats(L) - Constructor for class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
- MultiClassStringLabelStats(Classifier<String, F>, GeneralDataset<String, F>, String) - Constructor for class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats.MultiClassStringLabelStats
-
- MultiClassStringLabelStats(String) - Constructor for class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats.MultiClassStringLabelStats
-
- MultiClassStringLabelStats(Index<String>, String) - Constructor for class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats.MultiClassStringLabelStats
-
- MultiCoreMapNodePattern - Class in edu.stanford.nlp.ling.tokensregex
-
Pattern for matching across multiple core maps.
- MultiCoreMapNodePattern() - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiCoreMapNodePattern
-
- MultiCoreMapNodePattern(NodePattern) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiCoreMapNodePattern
-
- MultiCoreMapNodePattern(NodePattern, Map<Class, CoreMapAttributeAggregator>) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiCoreMapNodePattern
-
- MultiCoreMapNodePattern.StringSequenceAnnotationPattern - Class in edu.stanford.nlp.ling.tokensregex
-
- MulticoreWrapper<I,O> - Class in edu.stanford.nlp.util.concurrent
-
Provides convenient multicore processing for threadsafe objects.
- MulticoreWrapper(int, ThreadsafeProcessor<I, O>) - Constructor for class edu.stanford.nlp.util.concurrent.MulticoreWrapper
-
Constructor.
- MulticoreWrapper(int, ThreadsafeProcessor<I, O>, boolean) - Constructor for class edu.stanford.nlp.util.concurrent.MulticoreWrapper
-
Constructor.
- MultiNodePattern<T> - Class in edu.stanford.nlp.ling.tokensregex
-
Matches potentially multiple node (i.e does match across multiple tokens)
- MultiNodePattern() - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiNodePattern
-
- MultiNodePattern(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- MultiNodePattern.IntersectMultiNodePattern<T> - Class in edu.stanford.nlp.ling.tokensregex
-
- MultiNodePattern.UnionMultiNodePattern<T> - Class in edu.stanford.nlp.ling.tokensregex
-
- MultiNodePatternExpr(MultiNodePattern) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.MultiNodePatternExpr
-
- MultiPatternMatcher<T> - Class in edu.stanford.nlp.ling.tokensregex
-
Matcher that takes in multiple patterns.
- MultiPatternMatcher(MultiPatternMatcher.SequencePatternTrigger<T>, Collection<? extends SequencePattern<T>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher
-
- MultiPatternMatcher(MultiPatternMatcher.SequencePatternTrigger<T>, SequencePattern<T>...) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher
-
- MultiPatternMatcher(Collection<SequencePattern<T>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher
-
- MultiPatternMatcher(SequencePattern<T>...) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher
-
- MultiPatternMatcher.BasicSequencePatternTrigger<T> - Class in edu.stanford.nlp.ling.tokensregex
-
Simple SequencePatternTrigger that looks at each node, and identifies which
patterns may potentially match each node, and then aggregates (union)
all these patterns together.
- MultiPatternMatcher.NodePatternTrigger<T> - Interface in edu.stanford.nlp.ling.tokensregex
-
A function which returns a collections of patterns that may match when
given a single node from a larger sequence.
- MultiPatternMatcher.SequencePatternTrigger<T> - Interface in edu.stanford.nlp.ling.tokensregex
-
A function which returns a collections of patterns that may match when
a sequence of nodes.
- multiply(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Scales the values in this array by c.
- multiply(float[], float) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Scales the values in this array by c.
- MULTIPLY_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- multiplyBy(int) - Method in class edu.stanford.nlp.time.SUTime.Duration
-
- multiplyBy(int) - Method in class edu.stanford.nlp.time.SUTime.DurationRange
-
- multiplyBy(int) - Method in class edu.stanford.nlp.time.SUTime.DurationWithFields
-
- multiplyBy(int) - Method in class edu.stanford.nlp.time.SUTime.DurationWithMillis
-
- multiplyDurationBy(int) - Method in class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
-
- multiplyInEnd(FactorTable) - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
- multiplyInEnd(FloatFactorTable) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
-
- multiplyInFront(FactorTable) - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
- multiplyInFront(FloatFactorTable) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
-
- multiplyInPlace(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Scales the values in this array by b.
- multiplyInPlace(float[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Scales the values in this array by b.
- multiplyInPlace(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Multiplies each value in target by the given multiplier, in place.
- multiplyInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Multiplies each value in target by the count of the key in mult, in place.
- multiplyInto(double[], double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- MultiSequencePatternExtractRule(MultiPatternMatcher<T>, Function<SequenceMatchResult<T>, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.MultiSequencePatternExtractRule
-
- multiThreadClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- multiThreadGibbs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- multiThreadGrad - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- multiThreadGrad - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- multiThreadGradient(int[], boolean) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- multiThreadPerceptron - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- MultiTokenPatternExtractRuleCreator() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.MultiTokenPatternExtractRuleCreator
-
- MultiTokenTag - Class in edu.stanford.nlp.ling
-
Represents a tag for a multi token expression
Can be used to annotate individual tokens without
having nested annotations
- MultiTokenTag(MultiTokenTag.Tag, int) - Constructor for class edu.stanford.nlp.ling.MultiTokenTag
-
- MultiTokenTag.Tag - Class in edu.stanford.nlp.ling
-
- MultiWordStringMatcher - Class in edu.stanford.nlp.ling.tokensregex
-
Finds multi word strings in a piece of text
- MultiWordStringMatcher(MultiWordStringMatcher.MatchType) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
- MultiWordStringMatcher(String) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
- MultiWordStringMatcher.LongestStringComparator - Class in edu.stanford.nlp.ling.tokensregex
-
- MultiWordStringMatcher.MatchType - Enum in edu.stanford.nlp.ling.tokensregex
-
if matchType
is EXCT
: match exact string
if matchType
is EXCTWS
: match exact string, except whitespace can match multiple whitespaces
if matchType
is LWS
: match case insensitive string, except whitespace can match multiple whitespaces
if matchType
is LNRM
: disregards punctuation, does case insensitive match
if matchType
is REGEX
: interprets string as regex already
- MutableDouble - Class in edu.stanford.nlp.util
-
A class for Double objects that you can change.
- MutableDouble() - Constructor for class edu.stanford.nlp.util.MutableDouble
-
- MutableDouble(double) - Constructor for class edu.stanford.nlp.util.MutableDouble
-
- MutableDouble(Number) - Constructor for class edu.stanford.nlp.util.MutableDouble
-
- MutableInteger - Class in edu.stanford.nlp.util
-
A class for Integer objects that you can change.
- MutableInteger() - Constructor for class edu.stanford.nlp.util.MutableInteger
-
- MutableInteger(int) - Constructor for class edu.stanford.nlp.util.MutableInteger
-
- mutex - Variable in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
-
- MW_PHRASE_TAG - Static variable in class edu.stanford.nlp.trees.international.spanish.SpanishTreeNormalizer
-
Tag provided to constituents which contain words from MW tokens
- MW_TAG - Static variable in class edu.stanford.nlp.trees.international.spanish.SpanishTreeNormalizer
-
Tag provided to words which are extracted from a multi-word token
into their own independent nodes.
- MWETransform(Tree) - Static method in class edu.stanford.nlp.trees.CoordinationTransformer
-
Puts all multi-word expressions below a single constituent labeled "MWE".
- MWT_LINE - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
-
- MWTTokenTextAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MWTTokenTextAnnotation
-
- MyXMLManager() - Constructor for class edu.stanford.nlp.time.JollyDayHolidays.MyXMLManager
-
- name - Variable in class edu.stanford.nlp.ling.MultiTokenTag.Tag
-
- name - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- name - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
Name of the rule
- name - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NamedValueFunction
-
- name - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.ParamInfo
-
- name() - Method in interface edu.stanford.nlp.trees.Dependency
-
Names the type of dependency (subject, instrument, ...).
- NAME - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "name" grammatical relation.
- name() - Method in class edu.stanford.nlp.trees.NamedDependency
-
- name() - Method in class edu.stanford.nlp.trees.UnnamedDependency
-
- name() - Method in class edu.stanford.nlp.util.PropertiesUtils.Property
-
- name - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
-
Stores the elememnt name, such as "doc".
- NAME_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "name" relation.
- NamedDependency - Class in edu.stanford.nlp.trees
-
An individual dependency between a head and a dependent.
- NamedDependency(String, String, Object) - Constructor for class edu.stanford.nlp.trees.NamedDependency
-
- NamedDependency(Label, Label, Object) - Constructor for class edu.stanford.nlp.trees.NamedDependency
-
- NamedEntityTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NamedEntityTagAnnotation
-
- NamedEntityTagProbsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NamedEntityTagProbsAnnotation
-
- NamedGroupMatchReplacement(String) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatcher.NamedGroupMatchReplacement
-
- NamedValueFunction(String) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NamedValueFunction
-
- namesToNodes() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.AuxiliaryTree
-
- nargs - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.BooleanFunction
-
- nargs - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericFunction
-
- nargs - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.StringFunction
-
- naTag - Static variable in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- NBLinearClassifierFactory<L,F> - Class in edu.stanford.nlp.classify
-
Provides a medium-weight implementation of Bernoulli (or binary)
Naive Bayes via a linear classifier.
- NBLinearClassifierFactory() - Constructor for class edu.stanford.nlp.classify.NBLinearClassifierFactory
-
Create a ClassifierFactory.
- NBLinearClassifierFactory(double) - Constructor for class edu.stanford.nlp.classify.NBLinearClassifierFactory
-
Create a ClassifierFactory.
- NBLinearClassifierFactory(double, boolean) - Constructor for class edu.stanford.nlp.classify.NBLinearClassifierFactory
-
Create a ClassifierFactory.
- nChooseK(int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Computes n choose k in an efficient way.
- neatExit() - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
Close tracks when the JVM shuts down.
- NEGATE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- NegateNodePattern(NodePattern<T>) - Constructor for class edu.stanford.nlp.ling.tokensregex.NodePattern.NegateNodePattern
-
- NEGATION_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "negation modifier" grammatical relation.
- NEGATION_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "negative modifier" grammatical relation.
- NEGATION_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "negative modifier" (neg) grammatical relation.
- NEGATION_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "negation modifier" grammatical relation.
- negIndex - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
- negLabel - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
- NegraHeadFinder - Class in edu.stanford.nlp.trees.international.negra
-
HeadFinder for the Negra Treebank.
- NegraHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.negra.NegraHeadFinder
-
- NegraHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraHeadFinder
-
- NegraLabel - Class in edu.stanford.nlp.trees.international.negra
-
- NegraLabel(String) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraLabel
-
- NegraLabel(String, Map<String, String>) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraLabel
-
- NegraLabel(String, String, Map<String, String>) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraLabel
-
- NegraPennCollinizer - Class in edu.stanford.nlp.parser.lexparser
-
- NegraPennCollinizer(TreebankLangParserParams) - Constructor for class edu.stanford.nlp.parser.lexparser.NegraPennCollinizer
-
- NegraPennCollinizer(TreebankLangParserParams, boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.NegraPennCollinizer
-
- NegraPennLanguagePack - Class in edu.stanford.nlp.trees.international.negra
-
Language pack for Negra and Tiger treebanks after conversion to
PTB format.
- NegraPennLanguagePack() - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
Gives a handle to the TreebankLanguagePack
- NegraPennLanguagePack(boolean) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
Gives a handle to the TreebankLanguagePack
- NegraPennLanguagePack(boolean, char) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
Make a new language pack with grammatical functions used based on the value of leaveGF
and marked with the character gfChar.
- NegraPennTokenizer - Class in edu.stanford.nlp.trees.international.negra
-
Produces a tokenizer for the NEGRA corpus in context-free Penn
Treebank format.
- NegraPennTokenizer(Reader) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennTokenizer
-
- NegraPennTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser
-
Parameter file for parsing the Penn Treebank format of the Negra
Treebank (German).
- NegraPennTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
-
- NegraPennTreeNormalizer - Class in edu.stanford.nlp.trees.international.negra
-
Tree normalizer for Negra Penn Treebank format.
- NegraPennTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
-
- NegraPennTreeNormalizer(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
-
- NegraPennTreeNormalizer(TreebankLanguagePack, int) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
-
- NegraPennTreeReaderFactory - Class in edu.stanford.nlp.trees.international.negra
-
A TreeReaderFactory for the Negra and Tiger treebanks in their
Penn Treebank compatible export format.
- NegraPennTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennTreeReaderFactory
-
- NegraPennTreeReaderFactory(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennTreeReaderFactory
-
- NegraPennTreeReaderFactory(int, boolean, boolean, TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennTreeReaderFactory
-
- negraSemanticHeadFinder() - Static method in class edu.stanford.nlp.trees.international.negra.NegraHeadFinder
-
Vends a "semantic" NegraHeadFinder---one that disprefers modal/auxiliary verbs as the heads of S or VP.
- NeighborsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NeighborsAnnotation
-
- ner() - Method in class edu.stanford.nlp.ling.CoreLabel
-
Return the named entity class of the label (or null if none).
- ner() - Method in interface edu.stanford.nlp.ling.HasNER
-
Return the named entity class of the label (or null if none).
- ner() - Method in class edu.stanford.nlp.ling.IndexedWord
-
- NER_LANGUAGE_DEFAULT - Static variable in class edu.stanford.nlp.ie.NERClassifierCombiner
-
- NER_LANGUAGE_PROPERTY - Static variable in class edu.stanford.nlp.ie.NERClassifierCombiner
-
- NER_LANGUAGE_PROPERTY_BASE - Static variable in class edu.stanford.nlp.ie.NERClassifierCombiner
-
- NERClassifierCombiner - Class in edu.stanford.nlp.ie
-
Subclass of ClassifierCombiner that behaves like a NER, by copying
the AnswerAnnotation labels to NERAnnotation.
- NERClassifierCombiner(Properties) - Constructor for class edu.stanford.nlp.ie.NERClassifierCombiner
-
- NERClassifierCombiner(String...) - Constructor for class edu.stanford.nlp.ie.NERClassifierCombiner
-
- NERClassifierCombiner(boolean, boolean, String...) - Constructor for class edu.stanford.nlp.ie.NERClassifierCombiner
-
- NERClassifierCombiner(boolean, NERClassifierCombiner.Language, boolean, Properties, String...) - Constructor for class edu.stanford.nlp.ie.NERClassifierCombiner
-
- NERClassifierCombiner(AbstractSequenceClassifier<CoreLabel>...) - Constructor for class edu.stanford.nlp.ie.NERClassifierCombiner
-
- NERClassifierCombiner(boolean, boolean, AbstractSequenceClassifier<CoreLabel>...) - Constructor for class edu.stanford.nlp.ie.NERClassifierCombiner
-
- NERClassifierCombiner(ObjectInputStream, Properties) - Constructor for class edu.stanford.nlp.ie.NERClassifierCombiner
-
- NERClassifierCombiner.Language - Enum in edu.stanford.nlp.ie
-
- nerConfidence() - Method in class edu.stanford.nlp.ling.CoreLabel
-
Return the map of confidences
- NERDemo - Class in edu.stanford.nlp.ie.demo
-
This is a demo of calling CRFClassifier programmatically.
- NERDemo() - Constructor for class edu.stanford.nlp.ie.demo.NERDemo
-
- NERFeatureFactory<IN extends CoreLabel> - Class in edu.stanford.nlp.ie
-
Features for Named Entity Recognition.
- NERFeatureFactory() - Constructor for class edu.stanford.nlp.ie.NERFeatureFactory
-
- NERFeatureFactory.FeatureCollector - Class in edu.stanford.nlp.ie
-
This class handles collecting features into a set, in a more memory efficient way.
- NERGUI - Class in edu.stanford.nlp.ie.crf
-
A GUI for Named Entity sequence classifiers.
- NERGUI() - Constructor for class edu.stanford.nlp.ie.crf.NERGUI
-
- NERIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NERIDAnnotation
-
- nerModel - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- NERServer - Class in edu.stanford.nlp.ie
-
A named-entity recognizer server for Stanford's NER.
- NERServer(int, AbstractSequenceClassifier, String) - Constructor for class edu.stanford.nlp.ie.NERServer
-
Creates a new named entity recognizer server on the specified port.
- NERServer.NERClient - Class in edu.stanford.nlp.ie
-
This example sends material to the NER server one line at a time.
- nerSkipFirstK - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- nerSlowerTimes - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- NESTED_FIRST_ENDPOINTS_COMPARATOR - Static variable in interface edu.stanford.nlp.util.HasInterval
-
- NestedFunctionCallExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- NestedVarExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- newArabicTokenizer(Reader, Properties) - Static method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer
-
- newArrayList() - Static method in class edu.stanford.nlp.util.Generics
-
- newArrayList(int) - Static method in class edu.stanford.nlp.util.Generics
-
- newArrayList(Collection<? extends E>) - Static method in class edu.stanford.nlp.util.Generics
-
- newArrayMap() - Static method in class edu.stanford.nlp.util.ArrayMap
-
- newArrayMap(int) - Static method in class edu.stanford.nlp.util.ArrayMap
-
- newBinaryHeapPriorityQueue() - Static method in class edu.stanford.nlp.util.Generics
-
- newCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.ArrayListFactory
-
- newCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.HashSetFactory
-
- newCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.LinkedListFactory
-
- newCollection() - Method in class edu.stanford.nlp.util.CollectionFactory
-
- newCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.SizedArrayListFactory
-
- newCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.TreeSetFactory
-
- newConcurrentHashMap() - Static method in class edu.stanford.nlp.util.Generics
-
- newConcurrentHashMap(int) - Static method in class edu.stanford.nlp.util.Generics
-
- newConcurrentHashMap(int, float, int) - Static method in class edu.stanford.nlp.util.Generics
-
- newConcurrentHashSet() - Static method in class edu.stanford.nlp.util.Generics
-
- newConcurrentHashSet(Set<E>) - Static method in class edu.stanford.nlp.util.Generics
-
- newConstituent(int, int) - Method in interface edu.stanford.nlp.trees.ConstituentFactory
-
Build a constituent with this start and end.
- newConstituent(int, int, Label, double) - Method in interface edu.stanford.nlp.trees.ConstituentFactory
-
Build a constituent with this start and end.
- newConstituent(int, int) - Method in class edu.stanford.nlp.trees.SimpleConstituentFactory
-
- newConstituent(int, int, Label, double) - Method in class edu.stanford.nlp.trees.SimpleConstituentFactory
-
- newCoreLabelTokenizerFactory() - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
-
- newCoreLabelTokenizerFactory(String) - Static method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
-
Constructs a new PTBTokenizer that returns CoreLabel objects and
uses the options passed in.
- newCoreLabelTokenizerFactory(String) - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
-
- newCoreLabelTokenizerFactory() - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
-
- newCoreLabelWhitespaceTokenizer(Reader) - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
-
- newCoreLabelWhitespaceTokenizer(Reader, boolean) - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
-
- newDependency(Label, Label) - Method in interface edu.stanford.nlp.trees.DependencyFactory
-
- newDependency(Label, Label, Object) - Method in interface edu.stanford.nlp.trees.DependencyFactory
-
- newEmptyCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.ArrayListFactory
-
- newEmptyCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.HashSetFactory
-
- newEmptyCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.LinkedListFactory
-
- newEmptyCollection() - Method in class edu.stanford.nlp.util.CollectionFactory
-
- newEmptyCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.SizedArrayListFactory
-
- newEmptyCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.TreeSetFactory
-
- newgeneThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- newGrad - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- newGrammaticalStructure(Tree) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructureFactory
-
- newGrammaticalStructure(Tree) - Method in interface edu.stanford.nlp.trees.GrammaticalStructureFactory
-
- newGrammaticalStructure(Tree) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructureFactory
-
- newGrammaticalStructure(Tree) - Method in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalStructureFactory
-
- newGrammaticalStructure(Tree) - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructureFactory
-
- newHashMap() - Static method in class edu.stanford.nlp.util.Generics
-
- newHashMap(int) - Static method in class edu.stanford.nlp.util.Generics
-
- newHashMap(Map<? extends K, ? extends V>) - Static method in class edu.stanford.nlp.util.Generics
-
- newHashSet() - Static method in class edu.stanford.nlp.util.Generics
-
- newHashSet(int) - Static method in class edu.stanford.nlp.util.Generics
-
- newHashSet(Collection<? extends E>) - Static method in class edu.stanford.nlp.util.Generics
-
- newIdentityHashMap() - Static method in class edu.stanford.nlp.util.Generics
-
- newIdentityHashSet() - Static method in class edu.stanford.nlp.util.Generics
-
- newIndex() - Static method in class edu.stanford.nlp.util.Generics
-
- newInstance() - Method in interface edu.stanford.nlp.util.concurrent.ThreadsafeProcessor
-
Return a new threadsafe instance.
- newInterner() - Static method in class edu.stanford.nlp.util.Generics
-
- newLabel(String) - Method in class edu.stanford.nlp.ling.CategoryWordTagFactory
-
Make a new label with this String
as the "name".
- newLabel(String, int) - Method in class edu.stanford.nlp.ling.CategoryWordTagFactory
-
Make a new label with this String
as the value.
- newLabel(String, String, String) - Method in class edu.stanford.nlp.ling.CategoryWordTagFactory
-
Create a new CategoryWordTag label, where the label is formed from
the various String
objects passed in.
- newLabel(Label) - Method in class edu.stanford.nlp.ling.CategoryWordTagFactory
-
Create a new CategoryWordTag Label
, where the label is
formed from
the Label
object passed in.
- newLabel(String) - Method in interface edu.stanford.nlp.ling.LabelFactory
-
Make a new label with this String
as the
value
.
- newLabel(String, int) - Method in interface edu.stanford.nlp.ling.LabelFactory
-
Make a new label with this String
as the value, and
the type determined in an implementation-dependent way from the
options value.
- newLabel(Label) - Method in interface edu.stanford.nlp.ling.LabelFactory
-
Create a new Label
, where the label is formed from
the Label
object passed in.
- newLabel(String) - Method in class edu.stanford.nlp.ling.StringLabelFactory
-
Make a new label with this String
as the "name".
- newLabel(String, int) - Method in class edu.stanford.nlp.ling.StringLabelFactory
-
Make a new label with this String
as the "name".
- newLabel(Label) - Method in class edu.stanford.nlp.ling.StringLabelFactory
-
Create a new StringLabel
, where the label is
formed from
the Label
object passed in.
- newLabel(String) - Method in class edu.stanford.nlp.ling.TaggedWordFactory
-
Make a new label with this String
as the value (word).
- newLabel(String, int) - Method in class edu.stanford.nlp.ling.TaggedWordFactory
-
Make a new label with this String
as a value component.
- newLabel(Label) - Method in class edu.stanford.nlp.ling.TaggedWordFactory
-
Create a new TaggedWord Label
, where the label is
formed from
the Label
object passed in.
- newLabel(String) - Method in class edu.stanford.nlp.ling.WordFactory
-
Create a new word, where the label is formed from
the String
passed in.
- newLabel(String, int) - Method in class edu.stanford.nlp.ling.WordFactory
-
Create a new word, where the label is formed from
the String
passed in.
- newLabel(Label) - Method in class edu.stanford.nlp.ling.WordFactory
-
Create a new Word Label
, where the label is
formed from
the Label
object passed in.
- newLabel(String) - Method in class edu.stanford.nlp.ling.WordLemmaTagFactory
-
Make a new label with this String
as the value (word).
- newLabel(String, int) - Method in class edu.stanford.nlp.ling.WordLemmaTagFactory
-
Make a new label with this String
as a value component.
- newLabel(Label) - Method in class edu.stanford.nlp.ling.WordLemmaTagFactory
-
Create a new WordLemmaTag Label
, where the label is
formed from the Label
object passed in.
- newLabel(String) - Method in class edu.stanford.nlp.ling.WordTagFactory
-
Make a new label with this String
as the value (word).
- newLabel(String, int) - Method in class edu.stanford.nlp.ling.WordTagFactory
-
Make a new label with this String
as a value component.
- newLabel(Label) - Method in class edu.stanford.nlp.ling.WordTagFactory
-
Create a new WordTag Label
, where the label is
formed from
the Label
object passed in.
- newLabelFromString(String) - Method in class edu.stanford.nlp.ling.CategoryWordTagFactory
-
Make a new label with this String
as the "name".
- newLabelFromString(String) - Method in interface edu.stanford.nlp.ling.LabelFactory
-
Make a new label.
- newLabelFromString(String) - Method in class edu.stanford.nlp.ling.StringLabelFactory
-
Make a new label with this String
as the "name".
- newLabelFromString(String) - Method in class edu.stanford.nlp.ling.TaggedWordFactory
-
Create a new word, where the label is formed from
the String
passed in.
- newLabelFromString(String) - Method in class edu.stanford.nlp.ling.WordFactory
-
Create a new word, where the label is formed from
the String
passed in.
- newLabelFromString(String) - Method in class edu.stanford.nlp.ling.WordLemmaTagFactory
-
Create a new word, where the label is formed from
the String
passed in.
- newLabelFromString(String) - Method in class edu.stanford.nlp.ling.WordTagFactory
-
Create a new word, where the label is formed from
the String
passed in.
- newLeaf(String) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeFactory
-
- newLeaf(Label) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeFactory
-
Create a new leaf node with the given label
- newLeaf(String) - Method in class edu.stanford.nlp.trees.SimpleTreeFactory
-
- newLeaf(Label) - Method in class edu.stanford.nlp.trees.SimpleTreeFactory
-
- newLeaf(String) - Method in interface edu.stanford.nlp.trees.TreeFactory
-
Create a new tree leaf node, where the label is formed from
the String
passed in.
- newLeaf(Label) - Method in interface edu.stanford.nlp.trees.TreeFactory
-
Create a new tree leaf node, with the given label.
- newLeaf(String) - Method in class edu.stanford.nlp.trees.TreeGraphNodeFactory
-
Create a new tree leaf node, where the label is formed from
the String
passed in.
- newLeaf(Label) - Method in class edu.stanford.nlp.trees.TreeGraphNodeFactory
-
Create a new tree leaf node, with the given label.
- NEWLINE - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
- NEWLINE_TOKEN - Static variable in class edu.stanford.nlp.process.AbstractTokenizer
-
For tokenizing carriage returns.
- newLinkedList() - Static method in class edu.stanford.nlp.util.Generics
-
- newLinkedList(Collection<? extends E>) - Static method in class edu.stanford.nlp.util.Generics
-
- newMap() - Method in class edu.stanford.nlp.util.MapFactory
-
Returns a new non-parameterized map of a particular sort.
- newMap(int) - Method in class edu.stanford.nlp.util.MapFactory
-
Returns a new non-parameterized map of a particular sort with an initial capacity.
- newPair(T1, T2) - Static method in class edu.stanford.nlp.util.Generics
-
- newPTBTokenizer(Reader) - Static method in class edu.stanford.nlp.process.PTBTokenizer
-
Constructs a new PTBTokenizer that returns Word tokens and which treats
carriage returns as normal whitespace.
- newPTBTokenizer(Reader, boolean, boolean) - Static method in class edu.stanford.nlp.process.PTBTokenizer
-
Constructs a new PTBTokenizer that makes CoreLabel tokens.
- newPTBTokenizerFactory(LexedTokenFactory<T>, String) - Static method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
-
Constructs a new PTBTokenizer that uses the LexedTokenFactory and
options passed in.
- newPTBTokenizerFactory(boolean, boolean) - Static method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
-
- newQNInfo(List<double[]>, List<double[]>) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- newSet() - Method in class edu.stanford.nlp.util.MapFactory
-
A set with the same K
parameterization of the Maps.
- newSet(Collection<K>) - Method in class edu.stanford.nlp.util.MapFactory
-
A set with the same K
parameterization, but initialized to the given collection.
- newSingletonCollection(T) - Method in class edu.stanford.nlp.util.CollectionFactory.ArrayListFactory
-
- newSingletonCollection(T) - Method in class edu.stanford.nlp.util.CollectionFactory.HashSetFactory
-
- newSingletonCollection(T) - Method in class edu.stanford.nlp.util.CollectionFactory.LinkedListFactory
-
- newSingletonCollection(T) - Method in class edu.stanford.nlp.util.CollectionFactory
-
- newSingletonCollection(T) - Method in class edu.stanford.nlp.util.CollectionFactory.SizedArrayListFactory
-
- newSingletonCollection(T) - Method in class edu.stanford.nlp.util.CollectionFactory.TreeSetFactory
-
- newSpanishTokenizerFactory(LexedTokenFactory<T>, String) - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
-
Constructs a new SpanishTokenizer that returns T objects and uses the options passed in.
- newStack() - Static method in class edu.stanford.nlp.util.Generics
-
- newStringRegexPattern(String, int) - Static method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern
-
- newSynchronizedInterner(Interner<T>) - Static method in class edu.stanford.nlp.util.Generics
-
- newSynchronizedInterner(Interner<T>, Object) - Static method in class edu.stanford.nlp.util.Generics
-
- newTestOptions() - Method in class edu.stanford.nlp.parser.lexparser.Options
-
Separated out so subclasses of Options can override
- newTokenizerFactory() - Static method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer.ArabicTokenizerFactory
-
- newTokenizerFactory() - Static method in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
-
- newTokenizerFactory() - Static method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
-
Constructs a new TokenizerFactory that returns Word objects and
treats carriage returns as normal whitespace.
- newTokenizerFactory() - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
-
Constructs a new TokenizerFactory that returns Word objects and
treats carriage returns as normal whitespace.
- newTrainOptions() - Method in class edu.stanford.nlp.parser.lexparser.Options
-
Separated out so subclasses of Options can override
- newTreeMap() - Static method in class edu.stanford.nlp.util.Generics
-
- newTreeNode(String, List<Tree>) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeFactory
-
- newTreeNode(Label, List<Tree>) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeFactory
-
Create a new non-leaf tree node with the given label
- newTreeNode(String, List<Tree>) - Method in class edu.stanford.nlp.trees.SimpleTreeFactory
-
- newTreeNode(Label, List<Tree>) - Method in class edu.stanford.nlp.trees.SimpleTreeFactory
-
- newTreeNode(String, List<Tree>) - Method in interface edu.stanford.nlp.trees.TreeFactory
-
Create a new tree non-leaf node, where the label is formed from
the String
passed in.
- newTreeNode(Label, List<Tree>) - Method in interface edu.stanford.nlp.trees.TreeFactory
-
Create a new tree non-leaf node, with the given label.
- newTreeNode(String, List<Tree>) - Method in class edu.stanford.nlp.trees.TreeGraphNodeFactory
-
Create a new tree non-leaf node, where the label is formed from
the String
passed in.
- newTreeNode(Label, List<Tree>) - Method in class edu.stanford.nlp.trees.TreeGraphNodeFactory
-
Create a new tree non-leaf node, with the given label.
- newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory
-
- newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.international.french.FrenchTreeReaderFactory
-
- newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReaderFactory
-
- newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreeReaderFactory
-
- newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeReaderFactory
-
- newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.international.pennchinese.CTBTreeReaderFactory
-
Create a new TreeReader
using the provided
Reader
.
- newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreeReaderFactory
-
- newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeReaderFactory
-
An implementation of the TreeReaderFactory
interface.
- newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer.NPTmpAdvRetainingTreeReaderFactory
-
- newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer.NPTmpRetainingTreeReaderFactory
-
- newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.PennTreeReaderFactory
-
- newTreeReader(Reader) - Method in interface edu.stanford.nlp.trees.TreeReaderFactory
-
Create a new TreeReader
using the provided
Reader
.
- newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.tregex.TregexPattern.TRegexTreeReaderFactory
-
- newTreeSet() - Static method in class edu.stanford.nlp.util.Generics
-
- newTreeSet(Comparator<? super E>) - Static method in class edu.stanford.nlp.util.Generics
-
- newTreeSet(SortedSet<E>) - Static method in class edu.stanford.nlp.util.Generics
-
- newTriple(T1, T2, T3) - Static method in class edu.stanford.nlp.util.Generics
-
- newWeakHashMap() - Static method in class edu.stanford.nlp.util.Generics
-
- newWeakHashMap(int) - Static method in class edu.stanford.nlp.util.Generics
-
- newWeakReference(T) - Static method in class edu.stanford.nlp.util.Generics
-
- newWordTokenizerFactory(String) - Static method in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
-
todo [cdm 2013]: But we should change it to a method that can return any kind of Label and return CoreLabel here
- newWordTokenizerFactory(String) - Static method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
-
Constructs a new PTBTokenizer that returns Word objects and
uses the options passed in.
- newWordWhitespaceTokenizer(Reader) - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
-
- newWordWhitespaceTokenizer(Reader, boolean) - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
-
- newX - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- next() - Method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
-
- next() - Method in class edu.stanford.nlp.objectbank.LineIterator
-
- next() - Method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
-
- next() - Method in class edu.stanford.nlp.process.AbstractTokenizer
-
Returns the next token from this Tokenizer.
- next() - Method in class edu.stanford.nlp.process.Morphology
-
- next() - Method in class edu.stanford.nlp.tagger.io.TextTaggedFileReader
-
- next() - Method in class edu.stanford.nlp.tagger.io.TreeTaggedFileReader
-
- next() - Method in class edu.stanford.nlp.tagger.io.TSVTaggedFileReader
-
- next() - Method in class edu.stanford.nlp.time.JollyDayHolidays.JollyHoliday
-
- next() - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- next() - Method in class edu.stanford.nlp.util.AbstractIterator
- next() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
- next() - Method in class edu.stanford.nlp.util.ConcatenationIterator
-
- next() - Method in class edu.stanford.nlp.util.FilteredIterator
-
- next() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
Returns the element in the queue with highest priority, and pops it from
the queue.
- next() - Method in class edu.stanford.nlp.util.IterableIterator
-
- NextMatchAction() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.NextMatchAction
-
- nextToken - Variable in class edu.stanford.nlp.process.AbstractTokenizer
-
- nf - Static variable in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- NIGHT - Static variable in class edu.stanford.nlp.time.SUTime
-
- NIGHTLY - Static variable in class edu.stanford.nlp.time.SUTime
-
- NIL - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
- NilAnnotationPattern() - Constructor for class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.NilAnnotationPattern
-
- NO_ANALYSIS - Static variable in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
-
- NO_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
-
- NO_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- NO_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
-
- NO_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
-
- NO_RANGE - Static variable in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
- NO_WORD - Static variable in class edu.stanford.nlp.ling.IndexedWord
-
The identifier that points to no word.
- noClobberWriteProperties(Properties, Properties) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
- Node(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- nodeArity() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
-
- NodeAttributes - Class in edu.stanford.nlp.semgraph.semgrex
-
Stores attributes for a Semgrex NodePattern.
- NodeAttributes() - Constructor for class edu.stanford.nlp.semgraph.semgrex.NodeAttributes
-
- nodeAttrMatch(IndexedWord, SemanticGraph, boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
-
- NodeBasic(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- NodeConj(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- nodeCreated() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
-
- NodeDisj(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- NodeDisjConj(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- NodeGroup(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- nodeMatchResult(int) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- nodeMatchResult(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
- nodeMatchResult(int) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
Returns an Object representing the result for the match for a particular node.
- nodeNumber(Tree) - Method in class edu.stanford.nlp.trees.Tree
-
Calculates the node's number, defined as the number of nodes traversed in a left-to-right, depth-first search of the
tree starting at root
and ending at this
.
- NodePattern<T> - Class in edu.stanford.nlp.ling.tokensregex
-
Matches a Node (i.e a Token).
- NodePattern() - Constructor for class edu.stanford.nlp.ling.tokensregex.NodePattern
-
- NodePattern - Class in edu.stanford.nlp.semgraph.semgrex
-
- NodePattern(GraphRelation, boolean, Map<String, String>, boolean, boolean, String) - Constructor for class edu.stanford.nlp.semgraph.semgrex.NodePattern
-
- NodePattern(GraphRelation, boolean, Map<String, String>, boolean, boolean, String, List<Pair<Integer, String>>) - Constructor for class edu.stanford.nlp.semgraph.semgrex.NodePattern
-
- NodePattern.AnyNodePattern<T> - Class in edu.stanford.nlp.ling.tokensregex
-
Matches any node
- NodePattern.ConjNodePattern<T> - Class in edu.stanford.nlp.ling.tokensregex
-
Given a list of patterns p1,...,pn, matches if all patterns p1,...,pn matches
- NodePattern.DisjNodePattern<T> - Class in edu.stanford.nlp.ling.tokensregex
-
Given a list of patterns p1,...,pn, matches if one of the patterns p1,...,pn matches
- NodePattern.EqualsNodePattern<T> - Class in edu.stanford.nlp.ling.tokensregex
-
Matches a constant value of type T using equals()
- NodePattern.NegateNodePattern<T> - Class in edu.stanford.nlp.ling.tokensregex
-
Given a node pattern p, a node x matches if p does not match x
- NodePatternExpr(NodePattern) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.NodePatternExpr
-
- NodePatternTransformer<T1,T2> - Interface in edu.stanford.nlp.ling.tokensregex
-
Interface to transform a node pattern from a NodePattern<T1>
into a
NodePattern <T2>
.
- nodePrune - Variable in class edu.stanford.nlp.parser.lexparser.Options
-
If true, inside the factored parser, remove any node from the final
chosen tree which improves the PCFG score.
- nodes - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchResult.MatchedGroupInfo
-
- NODES_EQUAL_CHECKER - Static variable in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- nodeString() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
-
- nodeString() - Method in class edu.stanford.nlp.trees.Tree
-
Returns the value of the node's label as a String.
- nodeToString(Node, boolean) - Static method in class edu.stanford.nlp.time.XMLUtils
-
- noEdgeFeature - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- NoEmptiesCTBTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBTreeReaderFactory.NoEmptiesCTBTreeReaderFactory
-
- NoEscapingSAXInterface() - Constructor for class edu.stanford.nlp.process.TransformXML.NoEscapingSAXInterface
-
- noFunctionalForcing - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
Only valid with force tags - strips away functionals when forcing
the tags, meaning tags have to start
appropriately but the parser will assign the functional part.
- NoisyLabelLinearCliquePotentialFunction - Class in edu.stanford.nlp.ie.crf
-
- NoisyLabelLinearCliquePotentialFunction(double[][], int[], double[][]) - Constructor for class edu.stanford.nlp.ie.crf.NoisyLabelLinearCliquePotentialFunction
-
- noLabel - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- noMidNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- NOMINAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "nominal modifier" grammatical relation.
- NOMINAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "nominal passive subject" grammatical relation.
- NOMINAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "nsubjpass" grammatical relation.
- NOMINAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "nominal passive subject" (nsubjpass) grammatical relation.
- NOMINAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "nominal passive subject" grammatical relation.
- NOMINAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "nominal subject" grammatical relation.
- NOMINAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "nominal subject" grammatical relation.
- NOMINAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "nominal subject" (nsubj) grammatical relation.
- NOMINAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "nominal subject" grammatical relation.
- NOMINAL_TOPIC_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "nominal topic" (nmod:topic) grammatical relation (Chinese-specific).
- noNeighborConstraints - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- NONEXIST - Static variable in class edu.stanford.nlp.parser.nndep.Config
-
Represent a non-existent token.
- NonLinearCliquePotentialFunction - Class in edu.stanford.nlp.ie.crf
-
- NonLinearCliquePotentialFunction(double[][], double[][], double[][], SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.NonLinearCliquePotentialFunction
-
- nonLinearCRF - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- NonLinearSecondOrderCliquePotentialFunction - Class in edu.stanford.nlp.ie.crf
-
- NonLinearSecondOrderCliquePotentialFunction(double[][], double[][], double[][], double[][], SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.NonLinearSecondOrderCliquePotentialFunction
-
- nonTerminalInfo - Variable in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
-
- nonUnaryRootSymbol() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
-
- NOON - Static variable in class edu.stanford.nlp.time.SUTime
-
- noop(Object) - Static method in class edu.stanford.nlp.util.ErasureUtils
-
Does nothing, occasionally used to make Java happy that a value is used
- noop - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
A NOOP, as the name implies.
- noPunc - Variable in class edu.stanford.nlp.parser.nndep.Config
-
Exclude punctuations in evaluation if noPunc = true.
- noRebinarization - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
When binarizing trees, don't binarize trees with two children.
- noRecoveryTagging - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
If false, then failure of the PCFG parser to parse a sentence
will trigger allowing all tags for words in parse recovery mode,
with a log probability of -1000.
- norm(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Computes 2-norm of vector.
- norm(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Computes 2-norm of vector.
- norm_1(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Computes 1-norm of vector.
- norm_1(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Computes 1-norm of vector.
- norm_inf(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Computes inf-norm of vector.
- norm_inf(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Computes inf-norm of vector.
- normalizationTable - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- normalize() - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.AbstractStringAnnotationPattern
-
- NORMALIZE - Static variable in class edu.stanford.nlp.ling.tokensregex.NodePattern
-
- normalize - Variable in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- normalize(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Makes the values in this array sum to 1.0.
- normalize(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Makes the values in this array sum to 1.0.
- normalize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- normalize(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Normalizes the target counter in-place, so the sum of the resulting values
equals 1.
- normalize(TwoDimensionalCounter<E, F>) - Static method in class edu.stanford.nlp.stats.Counters
-
Normalizes the target counter in-place, so the sum of the resulting values
equals 1.
- NORMALIZE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
-
- normalize(String) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
-
- normalize(String, int, int) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
-
- normalize(String, int, int, int) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
-
This will normalize a Unicode String in various ways.
- normalize(double[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
Returns a new array which has the numbers in the input array
L1-normalized.
- normalize(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
- normalizeAmp(String) - Static method in class edu.stanford.nlp.process.LexerUtils
-
Convert an XML-escaped ampersand back into an ampersand.
- normalizeClassifierOutput(List<List<CoreLabel>>) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
-
- normalizeCurrency(String) - Static method in class edu.stanford.nlp.process.LexerUtils
-
- normalizeDateString(String, String) - Static method in class edu.stanford.nlp.ie.ChineseQuantifiableEntityNormalizer
-
Normalizes date strings.
- normalizedFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- NormalizedNamedEntityTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NormalizedNamedEntityTagAnnotation
-
- normalizedNumberString(String, String, Number) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
-
- normalizedNumberStringQuiet(String, double, String, Number) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
-
- normalizedOrdinalString(String, Number) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
-
- normalizedPercentString(String, Number) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
-
- normalizedTimeString(String, Timex) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
-
- normalizeFractions(boolean, boolean, String) - Static method in class edu.stanford.nlp.process.LexerUtils
-
Change precomposed fraction characters to spelled out letter forms.
- normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
-
Normalizes a nonterminal contents.
- normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
-
- normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.international.french.FrenchTreeNormalizer
-
- normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
-
Normalizes a nonterminal contents.
- normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.TreeNormalizer
-
Normalizes a nonterminal contents (and maybe intern it).
- normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
-
Normalizes a leaf contents.
- normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.international.french.FrenchTreeNormalizer
-
- normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
-
Normalizes a leaf contents.
- normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreeNormalizer
-
- normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.TreeNormalizer
-
Normalizes a leaf contents (and maybe intern it).
- normalizeTerms - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- normalizeTimex - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- normalizeTree(Tree, TreeNormalizer, TreeFactory) - Static method in class edu.stanford.nlp.trees.Trees
-
- normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
-
Normalize a whole tree -- one can assume that this is the
root.
- normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
-
- normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.international.french.FrenchTreeNormalizer
-
- normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreeNormalizer
-
- normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
-
Normalize a whole tree -- one can assume that this is the
root.
- normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.international.pennchinese.CTBErrorCorrectingTreeNormalizer
-
- normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreeNormalizer
-
- normalizeWholeTree(Tree, TreeFactory, boolean, boolean) - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreeNormalizer
-
- normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
Normalize a whole tree -- one can assume that this is the root.
- normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.TreeNormalizer
-
Normalize a whole tree -- this method assumes that the argument
that it is passed is the root of a complete Tree
.
- normTableEncoding - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- NOT_EQUALS_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- NOT_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- NOT_PAT - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- NOT_PAT_WORD - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- noTagSplit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- NotAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NotAnnotation
-
- NotExpression(Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.NotExpression
-
- notFilter(Predicate<E>) - Static method in class edu.stanford.nlp.util.Filters
-
Filter that does the opposite of given filter (NOT).
- NotNilAnnotationPattern() - Constructor for class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.NotNilAnnotationPattern
-
- NOUN_COMPOUND - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "noun compound" (nn) grammatical relation.
- NOUN_COMPOUND_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "noun compound modifier" grammatical relation.
- NOUN_COMPOUND_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "noun compound modifier" grammatical relation.
- NOUN_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "noun modifier" grammatical relation.
- nounSuffix(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
-
- NOVEMBER - Static variable in class edu.stanford.nlp.time.SUTime
-
- NOWORDSHAPE - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
-
- NP_ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "noun phrase as adverbial modifier" grammatical relation.
- NP_ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "noun phrase as adverbial modifier" grammatical relation.
- NP_V_S_INF_VERBS_REGEX - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- NPTmpAdvRetainingTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer.NPTmpAdvRetainingTreeReaderFactory
-
- NPTmpRetainingTreeNormalizer - Class in edu.stanford.nlp.trees
-
Same TreeNormalizer as BobChrisTreeNormalizer, but optionally provides
four extras.
- NPTmpRetainingTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
- NPTmpRetainingTreeNormalizer(int, boolean) - Constructor for class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
- NPTmpRetainingTreeNormalizer(int, boolean, int, boolean) - Constructor for class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
- NPTmpRetainingTreeNormalizer(int, boolean, int, boolean, HeadFinder) - Constructor for class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
- NPTmpRetainingTreeNormalizer(int, boolean, int, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
- NPTmpRetainingTreeNormalizer(int, boolean, int, boolean, boolean, HeadFinder) - Constructor for class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
Create a TreeNormalizer that maintains some functional annotations,
particularly those involving temporal annotation.
- NPTmpRetainingTreeNormalizer.NPTmpAdvRetainingTreeReaderFactory - Class in edu.stanford.nlp.trees
-
Implementation of TreeReaderFactory, mainly for convenience of
constructing by reflection.
- NPTmpRetainingTreeNormalizer.NPTmpRetainingTreeReaderFactory - Class in edu.stanford.nlp.trees
-
Implementation of TreeReaderFactory, mainly for convenience of
constructing by reflection.
- NPTmpRetainingTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer.NPTmpRetainingTreeReaderFactory
-
- nthIndex(String, char, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
Returns the index of the nth occurrence of ch in s, or -1
if there are less than n occurrences of ch.
- NTHREADS - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- nThreads() - Method in class edu.stanford.nlp.util.concurrent.MulticoreWrapper
-
- NULL - Static variable in class edu.stanford.nlp.parser.nndep.Config
-
Non-existent token string.
- NULL_ITW - Static variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- NULL_ITW - Static variable in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
-
- nullable - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.ParamInfo
-
- nullSafeCompare(T, T) - Static method in class edu.stanford.nlp.util.Comparators
-
Returns a consistent ordering over two elements even if one of them is null
(as long as compareTo() is stable, of course).
- nullSafeNaturalComparator() - Static method in class edu.stanford.nlp.util.Comparators
-
- nullTag - Static variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- nullTag - Static variable in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
-
- nullWord - Static variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- nullWord - Static variable in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
-
- num - Variable in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- numActiveFeatures() - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
-
- numBatches - Variable in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
-
- numBatches - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- NUMBER_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- NUMBER_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "compound number modifier" grammatical relation.
- NUMBER_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "classifier modifier" grammatical relation.
- NUMBER_TAG - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- numberEquivalenceDistSim - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
If this is set to true, all digit characters get mapped to '9' in a distsim
lexicon and for lookup.
- NumberNormalizer - Class in edu.stanford.nlp.ie
-
Provides functions for converting words to numbers.
- NumberRangeFileFilter - Class in edu.stanford.nlp.io
-
Implements a file filter that examines a number in a filename to
determine acceptance.
- NumberRangeFileFilter(int, int, boolean) - Constructor for class edu.stanford.nlp.io.NumberRangeFileFilter
-
Sets up a NumberRangeFileFilter by specifying the range of numbers
to accept, and whether to also traverse
folders for recursive search.
- NumberRangesFileFilter - Class in edu.stanford.nlp.io
-
Implements a file filter that examines a number in a filename to
determine acceptance.
- NumberRangesFileFilter(String, boolean) - Constructor for class edu.stanford.nlp.io.NumberRangesFileFilter
-
Sets up a NumberRangesFileFilter by specifying the ranges of numbers
to accept, and whether to also traverse
folders for recursive search.
- NUMBERS - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
-
- NumberSequenceClassifier - Class in edu.stanford.nlp.ie.regexp
-
A set of deterministic rules for marking certain entities, to add
categories and to correct for failures of statistical NER taggers.
- NumberSequenceClassifier() - Constructor for class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
-
- NumberSequenceClassifier(boolean) - Constructor for class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
-
- NumberSequenceClassifier(Properties, boolean, Properties) - Constructor for class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
-
- NumberToken() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- numCached - Variable in class edu.stanford.nlp.parser.nndep.Config
-
Number of hidden layer activations to cache.
- numChildren() - Method in class edu.stanford.nlp.trees.Tree
-
Says how many children a tree node has in its local tree.
- numClasses - Variable in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
-
- numClasses() - Method in class edu.stanford.nlp.classify.GeneralDataset
-
- numClasses - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- numClasses - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- numClasses() - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
- numClasses() - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
-
- numClasses - Variable in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
-
- numCorrect(int) - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
-
how many correct do we have if we return the most confident num recall ones
- numDatasetsPerFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- numDatumsPerLabel() - Method in class edu.stanford.nlp.classify.GeneralDataset
-
- numDistBins() - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- numDistBins() - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
-
- NUMERIC_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "numeric modifier" grammatical relation.
- NUMERIC_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "number modifier" grammatical relation.
- NUMERIC_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "number modifier" (nummod) grammatical relation.
- NUMERIC_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "numeric modifier" grammatical relation.
- NumericAnnotationPattern(double, ComplexNodePattern.NumericAnnotationPattern.CmpType) - Constructor for class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.NumericAnnotationPattern
-
- NumericComparator() - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericComparator
-
- NumericCompositeObjectAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericCompositeObjectAnnotation
-
- NumericCompositeTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericCompositeTypeAnnotation
-
- NumericCompositeValueAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericCompositeValueAnnotation
-
- NumericFunction(String, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericFunction
-
- NumericFunction(String, int, String) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericFunction
-
- NumericObjectAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericObjectAnnotation
-
- NumericTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericTypeAnnotation
-
- NumericValueAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericValueAnnotation
-
- NumerizedTokensAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumerizedTokensAnnotation
-
- numFeatureMatches(MorphoFeatures) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
-
- numFeatures - Variable in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
-
- numFeatures() - Method in class edu.stanford.nlp.classify.GeneralDataset
-
- numFeatures - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- numFeatureTokens() - Method in class edu.stanford.nlp.classify.GeneralDataset
-
returns the number of feature tokens in the Dataset.
- numFeatureTypes() - Method in class edu.stanford.nlp.classify.GeneralDataset
-
returns the number of distinct feature types in the Dataset.
- numFolds - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- numHid - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
-
Number of hidden units in the word vectors.
- numHiddenUnits - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- numIterations() - Method in class edu.stanford.nlp.sequences.CoolingSchedule
-
- numLopExpert - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
Number of experts to be used in Logarithmic Opinion Pool (product of experts) training
default value is 1
- numOfFeatureSlices - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- numOfSlices - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- numPasses - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
-
- numPasses - Variable in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
-
- numPasses - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- numPreComputed - Variable in class edu.stanford.nlp.parser.nndep.Config
-
Number of input tokens for which we should compute hidden-layer
unit activations.
- numRows(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- numRules() - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Returns the number of rules (tag rewrites as word) in the Lexicon.
- numRules() - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
Returns the number of rules (tag rewrites as word) in the Lexicon.
- numRules() - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
Returns the number of rules (tag rewrites as word) in the Lexicon.
- numRules() - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
Returns the number of rules (tag rewrites as word) in the Lexicon.
- numRuns - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- numSamples - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- numSamples() - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
-
- numStartLayers - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- numTagBins - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- numTagBins() - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- numTagBins() - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
-
- numTags() - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- numTimesPruneFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- numTimesRemoveTopN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- numToForcePrint() - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ApproximateRepeatSemantics
-
- numToForcePrint() - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ExactRepeatSemantics
-
- numToForcePrint() - Method in interface edu.stanford.nlp.util.logging.RepeatedRecordHandler.RepeatSemantics
-
- numTokens - Static variable in class edu.stanford.nlp.parser.nndep.Config
-
Total number of tokens provided as input to the classifier.
- numTransitions() - Method in class edu.stanford.nlp.parser.nndep.ParsingSystem
-
Return the number of transitions.
- NumTxtSentencesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumTxtSentencesAnnotation
-
- numVals - Static variable in class edu.stanford.nlp.international.french.FrenchMorphoFeatureSpecification
-
- numWordTokens - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
- numY(int) - Method in class edu.stanford.nlp.maxent.Experiments
-
- p - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
- p1 - Variable in class edu.stanford.nlp.ie.EmpiricalNERPriorBIO
-
- p2 - Variable in class edu.stanford.nlp.ie.EmpiricalNERPriorBIO
-
- PA - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
This variable controls doing parent annotation of phrasal nodes.
- pad - Variable in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- pad - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- pad(String, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
Return a String of length a minimum of totalChars characters by
padding the input String str at the right end with spaces.
- pad(String, int, char) - Static method in class edu.stanford.nlp.util.StringUtils
-
Return a String of length a minimum of totalChars characters by
padding the input String str at the right end with spaces.
- pad(Object, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
Pads the toString value of the given Object.
- PAD_FIELD_UNKNOWN - Static variable in class edu.stanford.nlp.time.SUTime
-
- PAD_FIELD_UNKNOWN2 - Static variable in class edu.stanford.nlp.time.SUTime
-
- PAD_FIELD_UNKNOWN4 - Static variable in class edu.stanford.nlp.time.SUTime
-
- PaddedList<E> - Class in edu.stanford.nlp.util
-
A PaddedList wraps another list, presenting an apparently infinite
list by padding outside the real confines of the list with a default
value.
- PaddedList(List<E>) - Constructor for class edu.stanford.nlp.util.PaddedList
-
With this constructor, get() will return null
for
elements outside the real list.
- PaddedList(List<E>, E) - Constructor for class edu.stanford.nlp.util.PaddedList
-
- padLeft(String, int, char) - Static method in class edu.stanford.nlp.util.StringUtils
-
Pads the given String to the left with the given character ch to ensure that
it's at least totalChars long.
- padLeft(String, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
Pads the given String to the left with spaces to ensure that it's
at least totalChars long.
- padLeft(Object, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
- padLeft(int, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
- padLeft(double, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
- padLeftOrTrim(String, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
Pad or trim so as to produce a string of exactly a certain length.
- padMoreSpecificFields(Partial, Period) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- padMoreSpecificFields(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- padOrTrim(String, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
Pad or trim so as to produce a string of exactly a certain length.
- padOrTrim(Object, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
Pad or trim the toString value of the given Object.
- Pair<T1,T2> - Class in edu.stanford.nlp.util
-
Pair is a Class for holding mutable pairs of objects.
- Pair() - Constructor for class edu.stanford.nlp.util.Pair
-
- Pair(T1, T2) - Constructor for class edu.stanford.nlp.util.Pair
-
- Pair.ByFirstPairComparator<T1,T2> - Class in edu.stanford.nlp.util
-
Compares a Pair
to another Pair
according to the first object of the pair only
This function will work providing
the first element of the Pair
is comparable, otherwise will throw a
ClassCastException
- Pair.ByFirstReversePairComparator<T1,T2> - Class in edu.stanford.nlp.util
-
Compares a Pair
to another Pair
according to the first object of the pair only in decreasing order
This function will work providing
the first element of the Pair
is comparable, otherwise will throw a
ClassCastException
- Pair.BySecondPairComparator<T1,T2> - Class in edu.stanford.nlp.util
-
Compares a Pair
to another Pair
according to the second object of the pair only
This function will work providing
the first element of the Pair
is comparable, otherwise will throw a
ClassCastException
- Pair.BySecondReversePairComparator<T1,T2> - Class in edu.stanford.nlp.util
-
Compares a Pair
to another Pair
according to the second object of the pair only in decreasing order
This function will work providing
the first element of the Pair
is comparable, otherwise will throw a
ClassCastException
- pairs - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- PairsHolder - Class in edu.stanford.nlp.tagger.maxent
-
A simple class that maintains a list of WordTag pairs which are interned
as they are added.
- PairsHolder() - Constructor for class edu.stanford.nlp.tagger.maxent.PairsHolder
-
- pairwiseAdd(int[], int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- pairwiseAdd(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- pairwiseAdd(float[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- pairwiseAddInPlace(float[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- pairwiseAddInPlace(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Add the two 1d arrays in place of to
.
- pairwiseAddInPlace(double[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Add the two 1d arrays in place of to
.
- pairwiseAddInPlace(double[], int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- pairwiseAddInPlace(double[], short[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- pairwiseDivideInPlace(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Divide the first array by the second elementwise,
and store results in place.
- pairwiseMultiply(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Assumes that both arrays have same length.
- pairwiseMultiply(float[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Assumes that both arrays have same length.
- pairwiseMultiply(double[], double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Puts the result in the result array.
- pairwiseMultiply(float[], float[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Puts the result in the result array.
- pairwiseScaleAdd(double[], double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- pairwiseScaleAddInPlace(double[], double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- pairwiseSubtract(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- pairwiseSubtract(float[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- pairwiseSubtractInPlace(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- ParagraphAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ParagraphAnnotation
-
- ParagraphIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ParagraphIndexAnnotation
-
- ParagraphsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ParagraphsAnnotation
-
- parallelE - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- parallelEhat - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- parallelGradientCalculation - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
The flag to tell the gradient computations to multithread over the data.
- parallelStream() - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
- ParamInfo(String, String, Class, boolean) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.ParamInfo
-
- params - Variable in enum edu.stanford.nlp.international.Language
-
- ParaPositionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ParaPositionAnnotation
-
- PARATAXIS - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "parataxis" grammatical relation.
- PARATAXIS - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
- PARATAXIS - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "parataxis" grammatical relation.
- parent() - Method in interface edu.stanford.nlp.trees.HasParent
-
- parent() - Method in class edu.stanford.nlp.trees.Tree
-
Return the parent of the tree node.
- parent(Tree) - Method in class edu.stanford.nlp.trees.Tree
-
Return the parent of the tree node.
- parent - Variable in class edu.stanford.nlp.trees.TreeGraphNode
-
Parent of this node.
- parent() - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Get the parent for the current node.
- ParentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ParentAnnotation
-
- ParentAnnotationStats - Class in edu.stanford.nlp.parser.lexparser
-
See what parent annotation helps in treebank, based on support and
KL divergence.
- PARENTHETICAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "parenthetical modifier" (prnmod) grammatical relation (Chinese-specific).
- parentPairs(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns a list of pairs of a relation name and the parent
IndexedFeatureLabel to which we bear that relation.
- paRootDtr - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: parent annotate daughter of root.
- parse(List<? extends HasWord>) - Method in interface edu.stanford.nlp.parser.Parser
-
Parses the given sentence.
- parse(Properties) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
Configure Redwood (from scratch) based on a Properties file.
- parse() - Method in class edu.stanford.nlp.util.StringParsingTask
-
Parses the String
associated with this
StringParsingTask
and returns a object of type
E
.
- parseCommandLineArguments(String[]) - Static method in class edu.stanford.nlp.util.StringUtils
-
A simpler form of command line argument parsing.
- parseCommandLineArguments(String[], boolean) - Static method in class edu.stanford.nlp.util.StringUtils
-
A simpler form of command line argument parsing.
- parseDateTime(String, boolean) - Static method in class edu.stanford.nlp.time.SUTime
-
Converts a string that represents some kind of date into ISO 8601 format and
returns it as a SUTime.Time
YYYYMMDDThhmmss
- parseDateTime(String) - Static method in class edu.stanford.nlp.time.SUTime
-
- parseDouble(boolean, long, int) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Taken from http://nerds-central.blogspot.com/2011/05/high-speed-parse-double-for-jvm.html
- parseElement(String) - Static method in class edu.stanford.nlp.time.XMLUtils
-
- ParseException - Exception in edu.stanford.nlp.ling.tokensregex.parser
-
This exception is thrown when parse errors are encountered.
- ParseException(Token, int[][], String[]) - Constructor for exception edu.stanford.nlp.ling.tokensregex.parser.ParseException
-
This constructor is used by the method "generateParseException"
in the generated parser.
- ParseException() - Constructor for exception edu.stanford.nlp.ling.tokensregex.parser.ParseException
-
The following constructors are for use by you for whatever
purpose you can think of.
- ParseException(String) - Constructor for exception edu.stanford.nlp.ling.tokensregex.parser.ParseException
-
Constructor with message.
- ParseException - Exception in edu.stanford.nlp.semgraph.semgrex
-
This exception is thrown when parse errors are encountered.
- ParseException(Token, int[][], String[]) - Constructor for exception edu.stanford.nlp.semgraph.semgrex.ParseException
-
This constructor is used by the method "generateParseException"
in the generated parser.
- ParseException() - Constructor for exception edu.stanford.nlp.semgraph.semgrex.ParseException
-
The following constructors are for use by you for whatever
purpose you can think of.
- ParseException(String) - Constructor for exception edu.stanford.nlp.semgraph.semgrex.ParseException
-
Constructor with message.
- ParseException - Exception in edu.stanford.nlp.trees.tregex
-
This exception is thrown when parse errors are encountered.
- ParseException(Token, int[][], String[]) - Constructor for exception edu.stanford.nlp.trees.tregex.ParseException
-
This constructor is used by the method "generateParseException"
in the generated parser.
- ParseException() - Constructor for exception edu.stanford.nlp.trees.tregex.ParseException
-
The following constructors are for use by you for whatever
purpose you can think of.
- ParseException(String) - Constructor for exception edu.stanford.nlp.trees.tregex.ParseException
-
Constructor with message.
- ParseException - Exception in edu.stanford.nlp.trees.tregex.tsurgeon
-
This exception is thrown when parse errors are encountered.
- ParseException(Token, int[][], String[]) - Constructor for exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException
-
This constructor is used by the method "generateParseException"
in the generated parser.
- ParseException() - Constructor for exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException
-
The following constructors are for use by you for whatever
purpose you can think of.
- ParseException(String) - Constructor for exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException
-
Constructor with message.
- parseExtraDeps(String) - Static method in class edu.stanford.nlp.trees.ud.CoNLLUUtils
-
Parses the value of the extra dependencies column in a CoNLL-U file
and returns them in a HashMap with the governor indices as keys
and the relation names as values.
- parseFeatures(String) - Static method in class edu.stanford.nlp.trees.ud.CoNLLUUtils
-
Parses the value of the feature column in a CoNLL-U file
and returns them in a HashMap with the feature names as keys
and the feature values as values.
- parseFields(BufferedReader, String, int[], int[]) - Static method in class edu.stanford.nlp.util.MemoryMonitor
-
- parseInstant(String, Optional<ZoneId>) - Static method in class edu.stanford.nlp.time.SUTime
-
Try parsing a given string into an Instant
in as many ways as we know how.
- parseInt(String) - Static method in class edu.stanford.nlp.math.SloppyMath
-
From http://nadeausoftware.com/articles/2009/08/java_tip_how_parse_integers_quickly
Parse an integer very quickly, without sanity checks.
- parseMethod(String) - Static method in enum edu.stanford.nlp.optimization.StochasticCalculateMethods
-
- parseNode(Env, String) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- parseNode(Env, String) - Method in interface edu.stanford.nlp.ling.tokensregex.SequencePattern.Parser
-
- parseOperation(String) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
-
- Parser - Interface in edu.stanford.nlp.parser
-
The interface for parser objects.
- ParserException(Exception) - Constructor for exception edu.stanford.nlp.util.StringParsingTask.ParserException
-
- ParserException(String) - Constructor for exception edu.stanford.nlp.util.StringParsingTask.ParserException
-
- parseSequence(Env, String) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- parseSequence(Env, String) - Method in interface edu.stanford.nlp.ling.tokensregex.SequencePattern.Parser
-
- parseSequenceWithAction(Env, String) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- parseSequenceWithAction(Env, String) - Method in interface edu.stanford.nlp.ling.tokensregex.SequencePattern.Parser
-
- parseString(String) - Method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
-
- parseString(String) - Method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
-
- parseStringKeys(String[]) - Static method in class edu.stanford.nlp.ling.CoreLabel
-
- parseTag(String) - Static method in class edu.stanford.nlp.util.XMLUtils
-
- parsevalObjectify(Tree, TreeTransformer) - Static method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Takes a Tree and a collinizer and returns a Collection of labeled
Constituent
s for PARSEVAL.
- parsevalObjectify(Tree, TreeTransformer, boolean) - Static method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Takes a Tree and a collinizer and returns a Collection of
Constituent
s for
PARSEVAL evaluation.
- ParsingSystem - Class in edu.stanford.nlp.parser.nndep
-
Defines a transition-based parsing framework for dependency parsing.
- ParsingSystem(TreebankLanguagePack, List<String>, List<String>, boolean) - Constructor for class edu.stanford.nlp.parser.nndep.ParsingSystem
-
- PART_VERB - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "participial modifier" grammatical relation.
- PART_VERB - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "participial modifier" (prtmod) grammatical relation.
- PartialTime(SUTime.Time, Partial) - Constructor for class edu.stanford.nlp.time.SUTime.PartialTime
-
- PartialTime(SUTime.PartialTime) - Constructor for class edu.stanford.nlp.time.SUTime.PartialTime
-
- PartialTime(Partial) - Constructor for class edu.stanford.nlp.time.SUTime.PartialTime
-
- PartialTime(SUTime.StandardTemporalType, Partial) - Constructor for class edu.stanford.nlp.time.SUTime.PartialTime
-
- PartialTime() - Constructor for class edu.stanford.nlp.time.SUTime.PartialTime
-
- partitionIntoFolds(List<T>, int) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Split a list into numFolds (roughly) equally sized folds.
- PartOfSpeechAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PartOfSpeechAnnotation
-
- passiveAuxWordRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- path() - Static method in class edu.stanford.nlp.trees.international.pennchinese.CEDict
-
- pathFromRoot(Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
returns list of tree nodes to root from t.
- pathNodeToNode(Tree, Tree) - Method in class edu.stanford.nlp.trees.Tree
-
Given nodes t1
and t2
which are
dominated by this node, returns a list of all the nodes on the
path from t1 to t2, inclusive, or null if none found.
- pathNodeToNode(Tree, Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
returns a list of categories that is the path from Tree from to Tree
to within Tree root.
- PathToFileFunction() - Constructor for class edu.stanford.nlp.objectbank.ObjectBank.PathToFileFunction
-
- pattern() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- pattern() - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
Returns pattern used to create this sequence match result
- pattern - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
Pattern - the type of which is dependent on the rule type
- pattern() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- pattern() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
- pattern() - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
-
- PatternExpr() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.PatternExpr
-
- pcfgThreshold - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
If this variable is true, and the sum of the inside and outside score
for a constituent is worse than the best known score for a sentence by
more than pcfgThresholdValue
, then -Inf is returned as the
outside Score by oScore()
(while otherwise the true
outside score is returned).
- pcfgThresholdValue - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
- pcond(int, int) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
- pctSegmenterLenAdjust - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- pctSegmenterProp - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- pctSegmenterScale - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- pctSegmenterScaleByCRF - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- PeakMemoryMonitor() - Constructor for class edu.stanford.nlp.util.MemoryMonitor.PeakMemoryMonitor
-
- PeakMemoryMonitor(int, int) - Constructor for class edu.stanford.nlp.util.MemoryMonitor.PeakMemoryMonitor
-
- PeakMemoryMonitor(int, int, PrintStream) - Constructor for class edu.stanford.nlp.util.MemoryMonitor.PeakMemoryMonitor
-
- pearsonCorrelation(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Direct computation of Pearson product-moment correlation coefficient.
- pearsonsCorrelationCoefficient(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- peek(String) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- peek() - Method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
-
- peek() - Method in class edu.stanford.nlp.objectbank.LineIterator
-
- peek() - Method in class edu.stanford.nlp.process.AbstractTokenizer
-
This is an optional operation, by default supported.
- peek() - Method in interface edu.stanford.nlp.process.Tokenizer
-
Returns the next token, without removing it, from the Tokenizer, so
that the same token will be again returned on the next call to
next() or peek().
- peek() - Method in class edu.stanford.nlp.util.concurrent.MulticoreWrapper
-
Indicates whether or not a new result is available.
- peek() - Method in class edu.stanford.nlp.util.StringParsingTask
-
- peekNode() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
-
- penaltyType - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
penaltyType should be set as follows:
0: no length penalty
1: quadratic length penalty
2: penalty for continuation chars only
TODO: make this an enum
- pennNormalizeParens(String, boolean) - Static method in class edu.stanford.nlp.process.LexerUtils
-
- pennPOSToWordnetPOS(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Computes the WordNet 2.0 POS tag corresponding to the PTB POS tag s.
- pennPrint(PrintWriter) - Method in class edu.stanford.nlp.trees.Tree
-
Print the tree as done in Penn Treebank merged files.
- pennPrint(PrintWriter, Function<Label, String>) - Method in class edu.stanford.nlp.trees.Tree
-
- pennPrint(PrintStream) - Method in class edu.stanford.nlp.trees.Tree
-
Print the tree as done in Penn Treebank merged files.
- pennPrint(PrintStream, Function<Label, String>) - Method in class edu.stanford.nlp.trees.Tree
-
- pennPrint() - Method in class edu.stanford.nlp.trees.Tree
-
Print the tree as done in Penn Treebank merged files.
- pennPunctTags - Static variable in class edu.stanford.nlp.trees.PennTreebankLanguagePack
-
- pennString() - Method in class edu.stanford.nlp.trees.Tree
-
Calls pennPrint()
and saves output to a String
- PennTreebankLanguagePack - Class in edu.stanford.nlp.trees
-
Specifies the treebank/language specific components needed for
parsing the English Penn Treebank.
- PennTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.PennTreebankLanguagePack
-
Gives a handle to the TreebankLanguagePack
- PennTreebankTokenizer - Class in edu.stanford.nlp.trees
-
Builds a tokenizer for English PennTreebank (release 2) trees.
- PennTreebankTokenizer(Reader) - Constructor for class edu.stanford.nlp.trees.PennTreebankTokenizer
-
- PennTreeReader - Class in edu.stanford.nlp.trees
-
This class implements the TreeReader
interface to read Penn Treebank-style
files.
- PennTreeReader(Reader) - Constructor for class edu.stanford.nlp.trees.PennTreeReader
-
Read parse trees from a Reader
.
- PennTreeReader(Reader, TreeFactory) - Constructor for class edu.stanford.nlp.trees.PennTreeReader
-
Read parse trees from a Reader
.
- PennTreeReader(Reader, TreeFactory, TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.PennTreeReader
-
Read parse trees from a Reader.
- PennTreeReader(Reader, TreeFactory, TreeNormalizer, Tokenizer<String>) - Constructor for class edu.stanford.nlp.trees.PennTreeReader
-
Read parse trees from a Reader.
- PennTreeReaderFactory - Class in edu.stanford.nlp.trees
-
- PennTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.PennTreeReaderFactory
-
- PennTreeReaderFactory(TreeFactory) - Constructor for class edu.stanford.nlp.trees.PennTreeReaderFactory
-
- PennTreeReaderFactory(TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.PennTreeReaderFactory
-
- PennTreeReaderFactory(TreeFactory, TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.PennTreeReaderFactory
-
- PERCENT_SYMBOL_PATTERN - Static variable in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
-
- PERCENT_TAG - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- PERCENT_WORD_PATTERN - Static variable in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
-
- PERCENT_WORD_PATTERN1 - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- PERCENT_WORD_PATTERN2 - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- PercentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PercentAnnotation
-
- perceptronDebug - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- percolateHeadAnnotations(HeadFinder) - Method in class edu.stanford.nlp.trees.Tree
-
Finds the head words of each tree and assigns
HeadWordLabelAnnotation on each node pointing to the correct
CoreLabel.
- percolateHeadIndices() - Method in class edu.stanford.nlp.trees.Tree
-
Percolates terminal indices through a dependency tree.
- percolateHeads(HeadFinder) - Method in class edu.stanford.nlp.trees.Tree
-
Finds the heads of the tree.
- percolateHeads(HeadFinder) - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Uses the specified
{@code HeadFinder}
to determine the heads for this node and all its descendants,
and to store references to the head word node and head tag node
in this node's
{@code CoreLabel}
and the
CoreLabel
s of all its descendants.
- PeriodicTemporalSet(SUTime.Temporal, SUTime.Duration, String, String) - Constructor for class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
-
- PeriodicTemporalSet(SUTime.PeriodicTemporalSet, SUTime.Temporal, SUTime.Duration, SUTime.Range, String, String) - Constructor for class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
-
- perturbCounts(C, Random, double) - Static method in class edu.stanford.nlp.stats.Counters
-
- perVals - Static variable in class edu.stanford.nlp.international.french.FrenchMorphoFeatureSpecification
-
- PHRASAL_VERB_PARTICLE - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "phrasal verb particle" grammatical relation.
- PHRASAL_VERB_PARTICLE - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "phrasal verb particle" grammatical relation.
- Phrase(PhraseTable.WordList, String, String, Object) - Constructor for class edu.stanford.nlp.ling.tokensregex.PhraseTable.Phrase
-
- phraseGazettes - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- PhraseMatch(PhraseTable.Phrase, int, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseMatch
-
- PHRASEMATCH_LENGTH_ENDPOINTS_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- PhraseStringCollection(PhraseTable, boolean) - Constructor for class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
-
- PhraseTable - Class in edu.stanford.nlp.ling.tokensregex
-
Table used to lookup multi-word phrases.
- PhraseTable() - Constructor for class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- PhraseTable(int) - Constructor for class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- PhraseTable(boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- PhraseTable.Phrase - Class in edu.stanford.nlp.ling.tokensregex
-
A phrase is a multiword expression
- PhraseTable.PhraseMatch - Class in edu.stanford.nlp.ling.tokensregex
-
Represents a matched phrase
- PhraseTable.PhraseStringCollection - Class in edu.stanford.nlp.ling.tokensregex
-
- PhraseTable.StringList - Class in edu.stanford.nlp.ling.tokensregex
-
- PhraseTable.TokenList - Class in edu.stanford.nlp.ling.tokensregex
-
- PhraseTable.WordList - Interface in edu.stanford.nlp.ling.tokensregex
-
- PhraseWordsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PhraseWordsAnnotation
-
- PhraseWordsTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PhraseWordsTagAnnotation
-
- PlainTextDocumentReaderAndWriter<IN extends CoreMap> - Class in edu.stanford.nlp.sequences
-
This class provides methods for reading plain text documents and writing out
those documents once classified in several different formats.
- PlainTextDocumentReaderAndWriter() - Constructor for class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
-
Construct a PlainTextDocumentReaderAndWriter.
- plainTextDocumentReaderAndWriter - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- PlainTextDocumentReaderAndWriter.OutputStyle - Enum in edu.stanford.nlp.sequences
-
- plainTextReaderAndWriter() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
This is the default DocumentReaderAndWriter used for reading text files for runtime
classification.
- platt - Variable in class edu.stanford.nlp.classify.SVMLightClassifier
-
- plus(DoubleAD, DoubleAD) - Static method in class edu.stanford.nlp.math.ADMath
-
- plusConst(DoubleAD, double) - Static method in class edu.stanford.nlp.math.ADMath
-
- plusEquals(DoubleAD) - Method in class edu.stanford.nlp.math.DoubleAD
-
- plusEqualsConst(double) - Method in class edu.stanford.nlp.math.DoubleAD
-
- pointwiseMutualInformation(Counter<T1>, Counter<T2>, Counter<Pair<T1, T2>>, Pair<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters
-
- poisson(int, double) - Static method in class edu.stanford.nlp.math.SloppyMath
-
- PolarityAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PolarityAnnotation
-
- poll() - Method in class edu.stanford.nlp.util.concurrent.MulticoreWrapper
-
Returns the next available result.
- pollAtMostEvery(long) - Method in class edu.stanford.nlp.util.MemoryMonitor
-
- pollEvery - Variable in class edu.stanford.nlp.util.MemoryMonitor
-
- pollFree(boolean) - Method in class edu.stanford.nlp.util.MemoryMonitor
-
- pollVMstat(boolean) - Method in class edu.stanford.nlp.util.MemoryMonitor
-
- pop(String) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- popNode() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
-
- populate(Env, Map<String, String>, Function<Pair<Env, String>, K>) - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern
-
- populated(int, int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
-
- PositionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PositionAnnotation
-
- POSSESSION_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "possession" grammatical relation between the possessum and the possessor.
- POSSESSION_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "possession" grammatical relation between the possessum and the possessor.
- POSSESSIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "possessive" grammatical relation.
- POSSESSIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
- POSSIBLE_TAGS_ONLY - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- PossibleAnswersAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PossibleAnswersAnnotation
-
- possiblePlural(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
-
- possibleTagsOnly() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- possibleValues - Variable in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
-
- postGPA - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- postOperationFix(int, Tree[]) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
-
A way for subclasses to fix any heads under special conditions.
- postOperationFix(int, Tree[]) - Method in class edu.stanford.nlp.trees.CollinsHeadFinder
-
- postOperationFix(int, Tree[]) - Method in class edu.stanford.nlp.trees.SemanticHeadFinder
-
Overwrite the postOperationFix method.
- postOperationFix(int, Tree[]) - Method in class edu.stanford.nlp.trees.UniversalSemanticHeadFinder
-
Overwrite the postOperationFix method.
- postOrderNodeList() - Method in class edu.stanford.nlp.trees.Tree
-
- postPA - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- postProcessDependencies(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
-
- postProcessDependencies(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Post process the dependencies in whatever way this language
requires.
- postProcessDependencies(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
-
- postProcessDependencies(SemanticGraph) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
-
- postSplitters - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- postSplitWithBaseCategory - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Whether, in post-splitting of categories, nodes are annotated with the
(grand)parent's base category or with its complete subcategorized
category.
- pow(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
raises each entry in array a by power c
- pow(float[], float) - Static method in class edu.stanford.nlp.math.ArrayMath
-
raises each entry in array a by power c
- pow(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Returns an approximation to Math.pow(a,b) that is ~27x faster
with a margin of error possibly around ~10%.
- pow(Counter<T>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
- POW_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- powerAlignProb - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- powerAlignProbAsAddition - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- powerSet(Set<E>) - Static method in class edu.stanford.nlp.util.Sets
-
Returns the powerset (the set of all subsets) of set s.
- powInPlace(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Scales the values in this array by c.
- powInPlace(float[], float) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Sets the values in this array by to their value taken to cth power.
- powInPlace(Counter<T>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
- powNormalized(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a counter where each element corresponds to the normalized count of
the corresponding element in c raised to the given power.
- ppAttachmentEval() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Returns a language specific object for evaluating PP attachment
- ppAttachmentEval() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
Returns a language specific object for evaluating PP attachment
- PRCurve - Class in edu.stanford.nlp.classify
-
A class to create recall-precision curves given scores
used to fit the best monotonic function for logistic regression and SVMs.
- PRCurve(String) - Constructor for class edu.stanford.nlp.classify.PRCurve
-
reads scores with classes from a file, sorts by score and creates the arrays
- PRCurve(String, boolean) - Constructor for class edu.stanford.nlp.classify.PRCurve
-
reads scores with classes from a file, sorts by score and creates the arrays
- PRCurve(List<Pair<Double, Integer>>) - Constructor for class edu.stanford.nlp.classify.PRCurve
-
- precision(int) - Method in class edu.stanford.nlp.classify.PRCurve
-
what is the best precision at the given recall
- precision(Set<?>, Set<?>) - Static method in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- precision() - Method in class edu.stanford.nlp.util.ConfusionMatrix.Contingency
-
- preCompute() - Method in class edu.stanford.nlp.parser.nndep.Classifier
-
- preCompute(Set<Integer>) - Method in class edu.stanford.nlp.parser.nndep.Classifier
-
Pre-compute hidden layer activations for some set of possible
feature inputs.
- precondition(String) - Method in class edu.stanford.nlp.tagger.maxent.Extractor
-
This evaluates any precondition for a feature being applicable based
on a certain tag.
- precondition(String) - Method in class edu.stanford.nlp.tagger.maxent.ExtractorVerbalVBNZero
-
- PRECONJUNCT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "preconjunct" grammatical relation.
- PRECONJUNCT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "preconjunct" grammatical relation.
- PREDETERMINER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "predeterminer" grammatical relation.
- PREDETERMINER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "predeterminer" grammatical relation.
- PREDICATE - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "predicate" grammatical relation.
- PREDICATE - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "predicate" grammatical relation.
- PREDICATE_ASPECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "aspect marker" grammatical relation.
- predict(CoreMap) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
-
Determine the dependency parse of the given sentence using the loaded model.
- predict(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
-
- PredictedAnswerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PredictedAnswerAnnotation
-
- predictSplits - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Use the method reported by Berkeley for splitting and recombining
states.
- predProp - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- preOrderNodeList() - Method in class edu.stanford.nlp.trees.Tree
-
- prepCCTransform(Tree) - Static method in class edu.stanford.nlp.trees.CoordinationTransformer
-
- prependEmbedding - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- PREPOSITION - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The PREPOSITION grammatical relation is only here as a temporary
relation.
- PREPOSITIONAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "prepositional complement" grammatical relation.
- PREPOSITIONAL_LOC_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "prepositional localizer modifier" grammatical relation.
- PREPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "prepositional modifier" grammatical relation.
- PREPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "prepositional modifier" grammatical relation.
- PREPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "prepositional modifier" grammatical relation.
- PREPOSITIONAL_OBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "prepositional object" grammatical relation.
- PREPOSITIONAL_OBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "prepositional object" grammatical relation.
- PresetAnswerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PresetAnswerAnnotation
-
- PresetSequenceClassifier<IN extends CoreMap> - Class in edu.stanford.nlp.ie
-
Created by jebolton on 7/14/17.
- PresetSequenceClassifier(Properties) - Constructor for class edu.stanford.nlp.ie.PresetSequenceClassifier
-
- preTag - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
Tag the sentences first, then parse given those (coarse) tags.
- preTerminals(Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
- preTerminalYield() - Method in class edu.stanford.nlp.trees.Tree
-
Gets the preterminal yield (i.e., tags) of the tree.
- preTerminalYield(List<Label>) - Method in class edu.stanford.nlp.trees.Tree
-
Gets the preterminal yield (i.e., tags) of the tree.
- preTokenized - Variable in class edu.stanford.nlp.parser.nndep.Config
-
Provided text is tokenized by whitespace.
- preTransformer - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
A transformer to use on the training data before any other
processing step.
- prettyLog(Redwood.RedwoodChannels, String) - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Pretty logs the current object to specific Redwood channels.
- prettyLog(Redwood.RedwoodChannels, String) - Method in class edu.stanford.nlp.stats.IntCounter
-
Pretty logs the current object to specific Redwood channels.
- prettyLog(Redwood.RedwoodChannels, String) - Method in class edu.stanford.nlp.util.ArrayCoreMap
-
Pretty logs the current object to specific Redwood channels.
- prettyLog(Redwood.RedwoodChannels, String) - Method in interface edu.stanford.nlp.util.logging.PrettyLoggable
-
Pretty logs the current object to specific Redwood channels.
- prettyLog(Object) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
-
PrettyLog an object using these channels.
- prettyLog(String, Object) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
-
PrettyLog an object with a description using these channels.
- prettyLog(Object) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- prettyLog(String, Object) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- prettyLog(Redwood.RedwoodChannels, String) - Method in class edu.stanford.nlp.util.Pair
-
Pretty logs the current object to specific Redwood channels.
- prettyLog(Redwood.RedwoodChannels, String) - Method in class edu.stanford.nlp.util.Quadruple
-
Pretty logs the current object to specific Redwood channels.
- prettyLog(Redwood.RedwoodChannels, String) - Method in class edu.stanford.nlp.util.Triple
-
Pretty logs the current object to specific Redwood channels.
- PrettyLoggable - Interface in edu.stanford.nlp.util.logging
-
Indicates that a class supports "pretty logging".
- PrettyLogger - Class in edu.stanford.nlp.util.logging
-
Primarily for debugging, PrettyLogger helps you dump various collection
objects in a reasonably structured way via Redwood logging.
- prettyPrint(SemanticGraphFormatter) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Pretty-prints this semantic graph to System.out
, formatted by
the supplied semantic graph formatter.
- prettyPrint() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Pretty-prints this semantic graph to System.out
, formatted by
the default semantic graph formatter.
- prettyPrint(PrintWriter) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
Print a multi-line representation of the pattern illustrating its syntax.
- prettyPrint(PrintStream) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
Print a multi-line representation of the pattern illustrating its syntax.
- prettyPrint() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
Print a multi-line representation of the pattern illustrating its syntax
to System.out
.
- prettyPrint() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
pretty-prints the GeneralizedCounter to
System.out
.
- prettyPrint(PrintWriter) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
pretty-prints the GeneralizedCounter, using a buffer increment of two spaces.
- prettyPrint(PrintWriter, String) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
pretty-prints the GeneralizedCounter.
- prettyPrint(PrintWriter) - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
-
Print a multi-line representation
of the pattern illustrating it's syntax.
- prettyPrint(PrintStream) - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
-
Print a multi-line representation
of the pattern illustrating it's syntax.
- prettyPrint() - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
-
Print a multi-line representation of the pattern illustrating
it's syntax to System.out.
- prev() - Method in class edu.stanford.nlp.time.JollyDayHolidays.JollyHoliday
-
- prev() - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- PrevChildAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PrevChildAnnotation
-
- PrimitiveValue(String, T, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.PrimitiveValue
-
- print(String, String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.err
-
- print(String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.err
-
- print(String, String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.out
-
- print(String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.out
-
- print() - Method in class edu.stanford.nlp.maxent.Experiments
-
- print(PrintFile) - Method in class edu.stanford.nlp.maxent.Experiments
-
- print() - Method in class edu.stanford.nlp.maxent.Feature
-
Prints out the points where the feature is non-zero and the values
at these points.
- print(PrintStream) - Method in class edu.stanford.nlp.maxent.Feature
-
- print() - Method in class edu.stanford.nlp.maxent.Features
-
- print() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Print out p(y|x) for all pairs to the standard output.
- print() - Method in class edu.stanford.nlp.maxent.Problem
-
- print(String) - Method in class edu.stanford.nlp.maxent.Problem
-
- print(Collection<TypedDependency>, boolean, PrintWriter) - Static method in class edu.stanford.nlp.trees.TreePrint
-
USED BY TREEPRINT AND WSD.SUPWSD.PREPROCESS
Prints this set of typed dependencies to the specified
PrintWriter
.
- print(Collection<TypedDependency>, String, boolean, PrintWriter) - Static method in class edu.stanford.nlp.trees.TreePrint
-
USED BY TREEPRINT
Prints this set of typed dependencies to the specified
PrintWriter
in the specified format.
- print() - Method in class edu.stanford.nlp.util.IntTuple
-
- print(Object[], String) - Method in class edu.stanford.nlp.util.logging.JavaUtilLoggingHandler
-
- print(Object[], String) - Method in class edu.stanford.nlp.util.logging.OutputHandler
-
Print a string to an output without the trailing newline.
- print(Object[], String) - Method in class edu.stanford.nlp.util.logging.RedirectOutputHandler
-
- print(Object[], String) - Method in class edu.stanford.nlp.util.logging.Redwood.ConsoleHandler
-
Print a string to the console, without the trailing newline
- print(Object[], String) - Method in class edu.stanford.nlp.util.logging.Redwood.FileHandler
-
Print a string to an output without the trailing newline.
- print(boolean) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- print(char) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- print(int) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- print(long) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- print(float) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- print(double) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- print(char[]) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- print(String) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- print(Object) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- PRINT_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- printAllBestParses - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
Print out all best PCFG parses.
- printAnnotatedPW - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- printAnnotatedRuleCounts - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- printAnnotatedStateCounts - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- printAnswers(List<CoreLabel>, PrintWriter) - Method in class edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
-
- printAnswers(List<CoreLabel>, PrintWriter) - Method in class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
-
Write a standard CoNLL format output file.
- printAnswers(List<IN>, PrintWriter) - Method in interface edu.stanford.nlp.sequences.DocumentReaderAndWriter
-
This method prints the output of the classifier to a
PrintWriter
.
- printAnswers(List<IN>, PrintWriter) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
-
Print the classifications for the document to the given Writer.
- printAnswers(List<IN>, PrintWriter, PlainTextDocumentReaderAndWriter.OutputStyle, boolean) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
-
- printAttFsmFormat(Writer) - Method in class edu.stanford.nlp.fsm.DFSA
-
- printBinarizedPW - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- printChannels(int) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
Print (to console) a margin with the channels of a given log message.
- printClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- printClassifierParam - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- printCollocationStrings(PrintWriter) - Method in class edu.stanford.nlp.trees.CollocationFinder
-
Prints the collocations found in this Tree
as strings.
- printCounterComparison(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Great for debugging.
- printCounterComparison(Counter<E>, Counter<E>, PrintStream) - Static method in class edu.stanford.nlp.stats.Counters
-
Great for debugging.
- printCounterComparison(Counter<E>, Counter<E>, PrintWriter) - Static method in class edu.stanford.nlp.stats.Counters
-
Prints one or more lines (with a newline at the end) describing the
difference between the two Counters.
- printCounterSortedByKeys(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- printDependencies(GrammaticalStructure, Collection<TypedDependency>, Tree, boolean, boolean, boolean) - Static method in class edu.stanford.nlp.trees.GrammaticalStructureConversionUtils
-
Print typed dependencies in either the Stanford dependency representation
or in the conllx format.
- printf(String, Object...) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- printf(Locale, String, Object...) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- printFactoredKGood - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
Printing k-best parses from PCFG, when k > 0.
- printFactorTable(String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Takes the file, reads it in, and prints out the factor table at each position.
- printFactorTable - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- printFactorTableDocument(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Takes a
List
of something that extends
CoreMap
and prints
the factor table at each point.
- printFactorTableDocuments(ObjectBank<List<IN>>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Takes a
List
of documents and prints the factor table
at each point.
- printFeatureLists(IN, Collection<Collection<String>>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Print the String features generated from a token.
- printFeatures(IN, Collection<String>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Print the String features generated from a IN
- printFeatures() - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- printFeatures(String, int[][][][], int[][]) - Method in class edu.stanford.nlp.ie.crf.CRFFeatureExporter
-
Output features that have already been converted into features
(using documentToDataAndLabels) in format suitable for CRFSuite.
- printFeatures(String, Collection<List<IN>>) - Method in class edu.stanford.nlp.ie.crf.CRFFeatureExporter
-
Output features from a collection of documents to a file
Format is with one line per token using the following format
word label feat1 feat2 ...
- printFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- printFeaturesUpto - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- PrintFile - Class in edu.stanford.nlp.io
-
Shorthand class for opening an output file for human-readable output.
- PrintFile(String) - Constructor for class edu.stanford.nlp.io.PrintFile
-
- PrintFile(File) - Constructor for class edu.stanford.nlp.io.PrintFile
-
- printFileNames() - Method in class edu.stanford.nlp.trees.DiskTreebank
-
- printFirstOrderProbs(String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Takes the file, reads it in, and prints out the likelihood of each possible
label at each point.
- printFirstOrderProbs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- printFirstOrderProbsDocument(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Takes a
List
of something that extends
CoreMap
and prints
the likelihood of each possible label at each point.
- printFirstOrderProbsDocuments(ObjectBank<List<IN>>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Takes a
List
of documents and prints the likelihood of each
possible label at each point.
- printFooter(PrintWriter) - Method in class edu.stanford.nlp.trees.TreePrint
-
- printFullFeatureMatrix(PrintWriter) - Method in class edu.stanford.nlp.classify.Dataset
-
prints the full feature matrix in tab-delimited form.
- printFullFeatureMatrix(PrintWriter) - Method in class edu.stanford.nlp.classify.RVFDataset
-
prints the full feature matrix in tab-delimited form.
- printFullFeatureMatrixWithValues(PrintWriter) - Method in class edu.stanford.nlp.classify.RVFDataset
-
Modification of printFullFeatureMatrix to correct bugs and print values
(Rajat).
- printGazFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- printHeader(PrintWriter, String) - Method in class edu.stanford.nlp.trees.TreePrint
-
- printLabelInformation(String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- printLabelValue(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- printLabelValue - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- printLattice(DFSA<T, S>, List<IN>, PrintWriter) - Method in interface edu.stanford.nlp.sequences.LatticeWriter
-
This method prints the output lattice (typically, Viterbi search graph) of
the classifier to a
PrintWriter
.
- printLexStats() - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Print some statistics about this lexicon.
- println(String, String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.err
-
- println(String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.err
-
- println(String, String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.out
-
- println(String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.out
-
Print the argument plus a NEWLINE in UTF-8, regardless of
the platform default.
- println(Object) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- println(boolean) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- println(char) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- println(int) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- println(long) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- println(float) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- println(double) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- println(char[]) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- println(String) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- println(Object) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- println() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- printLocalTree() - Method in class edu.stanford.nlp.trees.Tree
-
- printLocalTree(PrintWriter) - Method in class edu.stanford.nlp.trees.Tree
-
Only prints the local tree structure, does not recurse
- printMinMax - Variable in class edu.stanford.nlp.optimization.SMDMinimizer
-
- printNode(OutputStream, Node, boolean, boolean) - Static method in class edu.stanford.nlp.time.XMLUtils
-
- printNR - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- printOnlyRelation - Static variable in class edu.stanford.nlp.semgraph.SemanticGraphEdge
-
- printParameters() - Method in class edu.stanford.nlp.parser.nndep.Config
-
- printPCFGkBest - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
Printing k-best parses from PCFG, when k > 0.
- printProbs(String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Takes the file, reads it in, and prints out the likelihood of each possible
label at each point.
- printProbs(Collection<File>, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Takes the files, reads them in, and prints out the likelihood of each possible
label at each point.
- printProbs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- printProbsDocument(List<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- printProbsDocument(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Takes a
List
of something that extends
CoreMap
and prints
the likelihood of each possible label at each point.
- printProbsDocument(List<IN>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
Takes a
List
of
CoreLabel
s and prints the likelihood
of each possible label at each point.
- printProbsDocuments(ObjectBank<List<IN>>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Takes a
List
of documents and prints the likelihood of each
possible label at each point.
- printProperties(String, Properties, PrintStream) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
- printProperties(String, Properties) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
- printResults(Counter<String>, Counter<String>, Counter<String>) - Static method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Given counters of true positives, false positives, and false
negatives, prints out precision, recall, and f1 for each key.
- printRuleCounts() - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
-
- printSamples(List, PrintStream) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
-
- printSparseFeatureMatrix() - Method in class edu.stanford.nlp.classify.Dataset
-
- printSparseFeatureMatrix(PrintWriter) - Method in class edu.stanford.nlp.classify.Dataset
-
prints a sparse feature matrix representation of the Dataset.
- printSparseFeatureMatrix() - Method in class edu.stanford.nlp.classify.GeneralDataset
-
- printSparseFeatureMatrix(PrintWriter) - Method in class edu.stanford.nlp.classify.GeneralDataset
-
prints a sparse feature matrix representation of the Dataset.
- printSparseFeatureMatrix() - Method in class edu.stanford.nlp.classify.RVFDataset
-
- printSparseFeatureMatrix(PrintWriter) - Method in class edu.stanford.nlp.classify.RVFDataset
-
Prints a sparse feature matrix representation of the Dataset.
- printSparseFeatureValues(PrintWriter) - Method in class edu.stanford.nlp.classify.RVFDataset
-
Prints a sparse feature-value output of the Dataset.
- printSparseFeatureValues(int, PrintWriter) - Method in class edu.stanford.nlp.classify.RVFDataset
-
Prints a sparse feature-value output of the Dataset.
- printStateCounts() - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
-
- printStates - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- printStats() - Method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
-
- printStats() - Method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
-
- printStats(PrintStream) - Method in class edu.stanford.nlp.util.CacheMap
-
Print out cache stats to the specified stream.
- printStringOneCharPerLine(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
- printSVMLightFormat(PrintWriter, ClassicCounter<Integer>, int) - Static method in class edu.stanford.nlp.classify.Dataset
-
Need to sort the counter by feature keys and dump it
- printSVMLightFormat() - Method in class edu.stanford.nlp.classify.GeneralDataset
-
Dumps the Dataset as a training/test file for SVMLight.
- printSVMLightFormat(PrintWriter) - Method in class edu.stanford.nlp.classify.GeneralDataset
-
Print SVM Light Format file.
- printTable() - Method in class edu.stanford.nlp.util.ConfusionMatrix
-
Prints the current confusion in table form to a string, with contingency
- printToFile(File, String, boolean, boolean, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Prints to a file.
- printToFile(File, String, boolean) - Static method in class edu.stanford.nlp.util.StringUtils
-
Prints to a file.
- printToFile(File, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Prints to a file.
- printToFile(String, String, boolean) - Static method in class edu.stanford.nlp.util.StringUtils
-
Prints to a file.
- printToFile(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Prints to a file.
- printToFileLn(File, String, boolean) - Static method in class edu.stanford.nlp.util.StringUtils
-
Prints to a file.
- printToFileLn(String, String, boolean) - Static method in class edu.stanford.nlp.util.StringUtils
-
Prints to a file.
- printTrainLabels - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- printTrainTree(PrintWriter, String, Tree) - Static method in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- printTree(Tree) - Method in class edu.stanford.nlp.trees.TreePrint
-
Prints the tree to the default PrintWriter.
- printTree(Tree, PrintWriter) - Method in class edu.stanford.nlp.trees.TreePrint
-
Prints the tree, with an empty ID.
- printTree(Tree, String, PrintWriter) - Method in class edu.stanford.nlp.trees.TreePrint
-
Prints the tree according to the options specified for this instance.
- printTrees(List<ScoredObject<Tree>>, String, PrintWriter) - Method in class edu.stanford.nlp.trees.TreePrint
-
Prints the trees according to the options specified for this instance.
- printTreeStats(String, List<DependencyTree>) - Static method in class edu.stanford.nlp.parser.nndep.Util
-
- printTreeStats(List<DependencyTree>) - Static method in class edu.stanford.nlp.parser.nndep.Util
-
- printTreeTransformations - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Just for debugging: check that your tree transforms work correctly.
- printTrieAsRules(DFSA<T, S>, Writer) - Static method in class edu.stanford.nlp.fsm.DFSA
-
- printTrieDFSA(DFSA<T, S>) - Static method in class edu.stanford.nlp.fsm.DFSA
-
- printWeights - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- printWordTag - Static variable in class edu.stanford.nlp.ling.CategoryWordTag
-
If this is false, the tag and word are never printed in toString()
calls.
- printXML - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- prior - Variable in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
-
- prior - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- prior - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
-
- prior - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- prior - Variable in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
-
- prior - Variable in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
-
- priorAlpha - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- PriorAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PriorAnnotation
-
- priorDerivative - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
The only reason this is around is because the Prior Functions don't handle stochastic calculations yet.
- priority() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- priority - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- priority() - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
- priority - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
Priority in which this rule should be applied with respect to others
- PRIORITY_COMPARATOR - Static variable in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
- PRIORITY_SCORE_LENGTH_ORDER_OFFSET_COMPARATOR - Static variable in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
Compares two match results.
- PriorityQueue<E> - Interface in edu.stanford.nlp.util
-
A Set that also represents an ordering of its elements, and responds
quickly to add()
, changePriority()
,
removeFirst()
, and getFirst()
method calls.
- priorLambda - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- PriorModelFactory<IN extends CoreMap> - Interface in edu.stanford.nlp.ie
-
- priorModelFactory - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
A class name for a factory that vends a prior NER model that
implements both SequenceModel and SequenceListener, and which
is used in the Gibbs sampling sequence model inference.
- priorType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- PRN_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "parenthetical modifier" grammatical relation.
- prob(int, int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- prob(int, E) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- prob(int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
Returns the probability for the given labels (indexed using classIndex),
where the last label corresponds to the label at the specified position.
- prob(int, E[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
returns the probability for the given labels, where the last label
corresponds to the label at the specified position.
- prob(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
- prob(int[]) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
-
- ProbabilisticClassifier<L,F> - Interface in edu.stanford.nlp.classify
-
- ProbabilisticClassifierCreator<L,F> - Interface in edu.stanford.nlp.classify
-
Creates a probablic classifier with given weights
- ProbabilityDistribution<E> - Interface in edu.stanford.nlp.stats
-
This is an interface for probability measures, which will allow
samples to be drawn and the probability of objects computed.
- probabilityOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Returns a counter mapping from each class name to the probability of
that class for a certain example.
- probabilityOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Deprecated.
- probabilityOf(int[]) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
- probabilityOf(Datum<L, F>) - Method in interface edu.stanford.nlp.classify.ProbabilisticClassifier
-
- probabilityOf(E) - Method in class edu.stanford.nlp.stats.Distribution
-
Returns the normalized count of the given object.
- probabilityOf(E) - Method in interface edu.stanford.nlp.stats.ProbabilityDistribution
-
- probConds - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Conditional probabilities.
- Problem - Class in edu.stanford.nlp.maxent
-
This is a general class for a Problem to be solved by the MaxEnt toolkit.
- Problem(Experiments, Features) - Constructor for class edu.stanford.nlp.maxent.Problem
-
- Problem() - Constructor for class edu.stanford.nlp.maxent.Problem
-
- probs(int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- probs(int, int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- probsToDoubleArr(int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- probTB(IntDependency) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
Calculate the probability of a dependency as a real probability between
0 and 1 inclusive.
- process(List<? extends IN>) - Method in interface edu.stanford.nlp.process.ListProcessor
-
Take a List (including a Sentence) of input, and return a
List that has been processed in some way.
- process(List<? extends IN>) - Method in class edu.stanford.nlp.process.WordToSentenceProcessor
-
Returns a List of Lists where each element is built from a run
of Words in the input Document.
- process(List<? extends List<? extends HasWord>>) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Tags the Words in each Sentence in the given List with their
grammatical part-of-speech.
- process(I) - Method in interface edu.stanford.nlp.util.concurrent.ThreadsafeProcessor
-
Set the input item that will be processed when a thread is allocated to
this processor.
- processCp1252misc(String) - Static method in class edu.stanford.nlp.process.LexerUtils
-
- processDocument(Document<L, F, IN>) - Method in class edu.stanford.nlp.process.WordToSentenceProcessor
-
- processDocument(List<IN>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
-
- ProcessException(String) - Constructor for exception edu.stanford.nlp.util.SystemUtils.ProcessException
-
- ProcessException(Throwable) - Constructor for exception edu.stanford.nlp.util.SystemUtils.ProcessException
-
- processFile(File) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
Load a collection of parse trees from the file of given name.
- processFile(File) - Method in interface edu.stanford.nlp.util.FileProcessor
-
Apply this predicate to a File
.
- processHeadWord(Label) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
- processHeadWord(Label) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
Allows language specific processing (e.g., stemming) of head words.
- processLine(String) - Method in class edu.stanford.nlp.pipeline.CoNLLUReader.CoNLLUSentence
-
Process line for current sentence.
- processMultiWordPrepositions - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
-
- ProcessOutputStream(String[]) - Constructor for class edu.stanford.nlp.util.SystemUtils.ProcessOutputStream
-
- ProcessOutputStream(String[], Writer) - Constructor for class edu.stanford.nlp.util.SystemUtils.ProcessOutputStream
-
- ProcessOutputStream(String[], Writer, Writer) - Constructor for class edu.stanford.nlp.util.SystemUtils.ProcessOutputStream
-
- ProcessOutputStream(ProcessBuilder, Writer, Writer) - Constructor for class edu.stanford.nlp.util.SystemUtils.ProcessOutputStream
-
- processPath(String, String, boolean, FileProcessor) - Static method in class edu.stanford.nlp.util.FilePathProcessor
-
Apply a method to the files under a given directory and
perhaps its subdirectories.
- processPath(File, String, boolean, FileProcessor) - Static method in class edu.stanford.nlp.util.FilePathProcessor
-
Apply a method to the files under a given directory and
perhaps its subdirectories.
- processPath(File, FileFilter, FileProcessor) - Static method in class edu.stanford.nlp.util.FilePathProcessor
-
Apply a function to the files under a given directory and
perhaps its subdirectories.
- processPattern(TregexPattern, TsurgeonPattern, Tree) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
-
Tries to match a pattern against a tree.
- processPatternOnTrees(TregexPattern, TsurgeonPattern, Collection<Tree>) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
-
Applies {#processPattern} to a collection of trees.
- processPatternsOnTree(List<Pair<TregexPattern, TsurgeonPattern>>, Tree) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
-
- processText(String) - Method in class edu.stanford.nlp.process.TransformXML.NoEscapingSAXInterface
-
- processText(String) - Method in class edu.stanford.nlp.process.TransformXML.SAXInterface
-
- processTreeHelper(String, String, Tree) - Method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
-
- product(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns the product of c1 and c2.
- project(String) - Method in class edu.stanford.nlp.parser.lexparser.BasicCategoryTagProjection
-
- project(String) - Method in interface edu.stanford.nlp.parser.lexparser.TagProjection
-
Project more split dependency space onto less split space.
- project(String) - Method in class edu.stanford.nlp.parser.lexparser.TestTagProjection
-
- promptUserInput(Optional<String>) - Static method in class edu.stanford.nlp.io.IOUtils
-
Create a prompt, and read a single line of response.
- propagateDependents - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
-
- propagateRecord(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.BooleanLogRecordHandler
-
Given a record, return true if it should be propagated to later handlers.
- propagateRecord(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.FilterHandler
-
- PropertiesUtils - Class in edu.stanford.nlp.util
-
Utilities methods for standard (but woeful) Java Properties objects.
- PropertiesUtils.Property - Class in edu.stanford.nlp.util
-
- Property(String, String, String) - Constructor for class edu.stanford.nlp.util.PropertiesUtils.Property
-
- propFileToLinkedHashMap(String, Map<String, String>) - Static method in class edu.stanford.nlp.util.StringUtils
-
This method reads in properties listed in a file in the format prop=value,
one property per line.
- propFileToProperties(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
This method reads in properties listed in a file in the format prop=value, one property per line.
- props - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- propsAsJsonString(Properties) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Convert the given properties to a json string
- ProtoAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ProtoAnnotation
-
- prune(Predicate<Tree>) - Method in class edu.stanford.nlp.trees.Tree
-
Creates a deep copy of the tree, where all nodes that the filter
does not accept and all children of such nodes are pruned.
- prune(Predicate<Tree>, TreeFactory) - Method in class edu.stanford.nlp.trees.Tree
-
Creates a deep copy of the tree, where all nodes that the filter
does not accept and all children of such nodes are pruned.
- pruneNodeFeatureIndices(int, int) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- prunePunc - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
- pruneTW(IntTaggedWord) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
- pseudoPosition() - Method in class edu.stanford.nlp.ling.IndexedWord
-
In most cases, this is just the index of the word.
- ptb2Text(String) - Static method in class edu.stanford.nlp.process.PTBTokenizer
-
Returns a presentable version of the given PTB-tokenized text.
- ptb2Text(Reader, Writer) - Static method in class edu.stanford.nlp.process.PTBTokenizer
-
Writes a presentable version of the given PTB-tokenized text.
- ptb2Text(List<String>) - Static method in class edu.stanford.nlp.process.PTBTokenizer
-
Returns a presentable version of the given PTB-tokenized words.
- ptbToken2Text(String) - Static method in class edu.stanford.nlp.process.PTBTokenizer
-
Returns a presentable version of a given PTB token.
- PTBTokenizer<T extends HasWord> - Class in edu.stanford.nlp.process
-
A fast, rule-based tokenizer implementation, which produces Penn Treebank
style tokenization of English text.
- PTBTokenizer(Reader, LexedTokenFactory<T>, String) - Constructor for class edu.stanford.nlp.process.PTBTokenizer
-
Constructs a new PTBTokenizer with a custom LexedTokenFactory.
- PTBTokenizer.PTBTokenizerFactory<T extends HasWord> - Class in edu.stanford.nlp.process
-
This class provides a factory which will vend instances of PTBTokenizer
which wrap a provided Reader.
- ptilde() - Method in class edu.stanford.nlp.maxent.Experiments
-
- ptilde(int) - Method in class edu.stanford.nlp.maxent.Experiments
-
When we want a pre-given number of classes.
- ptildeX(int) - Method in class edu.stanford.nlp.maxent.Experiments
-
- ptildeXY(int, int) - Method in class edu.stanford.nlp.maxent.Experiments
-
- ptildeY(int) - Method in class edu.stanford.nlp.maxent.Experiments
-
- publish(LogRecord) - Method in class edu.stanford.nlp.util.logging.JavaUtilLoggingAdaptor.RedwoodHandler
-
Convert a java.util.logging call to its equivalent Redwood logging call.
- puncFilter - Variable in class edu.stanford.nlp.trees.GrammaticalStructure
-
- puncTag - Static variable in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
-
- PunctEquivalenceClasser - Class in edu.stanford.nlp.parser.tools
-
Performs equivalence classing of punctuation per PTB guidelines.
- PunctEquivalenceClasser() - Constructor for class edu.stanford.nlp.parser.tools.PunctEquivalenceClasser
-
- PUNCTUATION - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "punctuation" grammatical relation.
- PUNCTUATION - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "punctuation" grammatical relation.
- PUNCTUATION - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "punctuation" grammatical relation.
- PUNCTUATION - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "punctuation" grammatical relation.
- punctuationTagAcceptFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Return a filter that accepts a String that is a punctuation
tag name, and rejects everything else.
- punctuationTagAcceptFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Return a filter that accepts a String that is a punctuation
tag name, and rejects everything else.
- punctuationTagRejectFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Return a filter that rejects a String that is a punctuation
tag name, and rejects everything else.
- punctuationTagRejectFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Return a filter that rejects a String that is a punctuation
tag name, and accepts everything else.
- punctuationTags() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns a String array of punctuation tags for this treebank/language.
- punctuationTags() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
-
Returns a String array of punctuation tags for this treebank/language.
- punctuationTags() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
-
Returns a String array of punctuation tags for this treebank/language.
- punctuationTags() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
-
- punctuationTags() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
Returns a String array of punctuation tags for this treebank/language.
- punctuationTags() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
Returns a String array of punctuation tags for this treebank/language.
- punctuationTags() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
-
Returns a String array of punctuation tags for this treebank/language.
- punctuationTags() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
-
Returns a String array of punctuation tags for this treebank/language.
- punctuationTags() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns a String array of punctuation tags for this treebank/language.
- punctuationWordAcceptFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns a filter that accepts a String that is a punctuation
word, and rejects everything else.
- punctuationWordAcceptFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns a filter that accepts a String that is a punctuation
word, and rejects everything else.
- punctuationWordRejectFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns a filter that accepts a String that is not a punctuation
word, and rejects punctuation.
- punctuationWordRejectFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns a filter that accepts a String that is not a punctuation
word, and rejects punctuation.
- punctuationWords() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns a String array of punctuation words for this treebank/language.
- punctuationWords() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
-
Returns a String array of punctuation words for this treebank/language.
- punctuationWords() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
-
Returns a String array of punctuation words for this treebank/language.
- punctuationWords() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
-
- punctuationWords() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
Returns a String array of punctuation words for this treebank/language.
- punctuationWords() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
Returns a String array of punctuation words for this treebank/language.
- punctuationWords() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
-
Returns a String array of punctuation words for this treebank/language.
- punctuationWords() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
-
Returns a String array of punctuation words for this treebank/language.
- punctuationWords() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns a String array of punctuation words for this treebank/language.
- purgeDatasets - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- purgeFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- push(String, Object) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- pushBack(int) - Method in interface edu.stanford.nlp.io.Lexer
-
Pushes back length
character positions in the
lexer.
- pushDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- pushNode(Node) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
-
- put(K, V) - Method in class edu.stanford.nlp.util.ArrayMap
-
- put(K, V) - Method in class edu.stanford.nlp.util.CacheMap
-
Add the entry to the map, and dump the map to a file if it's been a while
since we last did.
- put(K, Collection<V>) - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
Replaces current Collection mapped to key with the specified Collection.
- put(I) - Method in class edu.stanford.nlp.util.concurrent.MulticoreWrapper
-
Allocate instance to a process and return.
- put(K, V) - Method in class edu.stanford.nlp.util.DeltaMap
-
This may cost twice what it would in the original Map because we have to find
the original value for this key.
- put(K1, K2, V) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- put(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- putAll(Map<? extends K, ? extends Collection<V>>) - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
Unsupported.
- putAll(Map<K1, CollectionValuedMap<K2, V>>) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
- putIntoValueArrayList(Map<K, List<V>>, K, V) - Static method in class edu.stanford.nlp.util.Maps
-
Adds the value to the ArrayList given by map.get(key), creating a new ArrayList if needed.
- putIntoValueCollection(Map<K, C>, K, V, CollectionFactory<V>) - Static method in class edu.stanford.nlp.util.Maps
-
Adds the value to the collection given by map.get(key).
- putIntoValueHashSet(Map<K, Set<V>>, K, V) - Static method in class edu.stanford.nlp.util.Maps
-
Adds the value to the HashSet given by map.get(key), creating a new HashMap if needed.
- putSpacesAroundTargetString(String, String) - Static method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
Finds target string in text and put spaces around it so it will be matched with we match against tokens.
- pw() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
The PrintWriter used to print output.
- pw(OutputStream) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
The PrintWriter used to print output.
- pw() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
returns a PrintWriter used to print output.
- pw(OutputStream) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
returns a PrintWriter used to print output to the OutputStream
o.
- px - Variable in class edu.stanford.nlp.maxent.Experiments
-
px[x] holds the number of times the history x appeared in training data
- pxy - Variable in class edu.stanford.nlp.maxent.Experiments
-
pxy[x][y]=# times (x,y) occurred in training
- py - Variable in class edu.stanford.nlp.maxent.Experiments
-
py[y] holds the number of times the outcome y appeared in training data
- pythonMod(int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Returns a mod where the sign of the answer is the same as the sign of the second
argument.
- r - Variable in class edu.stanford.nlp.util.MemoryMonitor
-
- RadicalMap - Class in edu.stanford.nlp.trees.international.pennchinese
-
A way to determine the primary (or "semantic") radical of a Chinese character or get the set of
characters with a given semantic radical.
- rand - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- randGenerator - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
- RandomFilter() - Constructor for class edu.stanford.nlp.util.Filters.RandomFilter
-
- RandomFilter(double) - Constructor for class edu.stanford.nlp.util.Filters.RandomFilter
-
- RandomFilter(double, Random) - Constructor for class edu.stanford.nlp.util.Filters.RandomFilter
-
- randomInitial() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
-
- randomize(long) - Method in class edu.stanford.nlp.classify.GeneralDataset
-
Randomizes the data array in place.
- randomize(long) - Method in class edu.stanford.nlp.classify.RVFDataset
-
Randomizes the data array in place.
- randomize(long) - Method in class edu.stanford.nlp.classify.WeightedDataset
-
Randomizes (shuffles) the data array in place.
- randomizedRatio - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- randomLopFeatureSplit - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- randomLopWeights - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- randomSeed - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- range(int) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Generate a range of integers from start (inclusive) to end (exclusive).
- range(int, int) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Generate a range of integers from start (inclusive) to end (exclusive).
- Range(SUTime.Time, SUTime.Time) - Constructor for class edu.stanford.nlp.time.SUTime.Range
-
- Range(SUTime.Time, SUTime.Time, SUTime.Duration) - Constructor for class edu.stanford.nlp.time.SUTime.Range
-
- Range(SUTime.Time, SUTime.Duration) - Constructor for class edu.stanford.nlp.time.SUTime.Range
-
- Range(SUTime.Range, SUTime.Time, SUTime.Time, SUTime.Duration) - Constructor for class edu.stanford.nlp.time.SUTime.Range
-
- range() - Method in class edu.stanford.nlp.time.Timex
-
- Range(String, String, String) - Constructor for class edu.stanford.nlp.time.Timex.Range
-
- RANGE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "range" grammatical relation.
- RANGE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "range" grammatical relation (Chinese only).
- RANGE_EXPAND_FIX_BEGIN - Static variable in class edu.stanford.nlp.time.SUTime
-
- RANGE_EXPAND_FIX_END - Static variable in class edu.stanford.nlp.time.SUTime
-
- RANGE_FLAGS_PAD_AUTO - Static variable in class edu.stanford.nlp.time.SUTime
-
Automatic range (whatever padding we think is most appropriate, default)
- RANGE_FLAGS_PAD_FINEST - Static variable in class edu.stanford.nlp.time.SUTime
-
Pad to most specific (whatever that is)
- RANGE_FLAGS_PAD_MASK - Static variable in class edu.stanford.nlp.time.SUTime
-
Flags for how to pad when converting times into ranges
- RANGE_FLAGS_PAD_NONE - Static variable in class edu.stanford.nlp.time.SUTime
-
Simple range (without padding)
- RANGE_FLAGS_PAD_SPECIFIED - Static variable in class edu.stanford.nlp.time.SUTime
-
Pad to specified granularity
- RANGE_OFFSET_BEGIN - Static variable in class edu.stanford.nlp.time.SUTime
-
- RANGE_OFFSET_END - Static variable in class edu.stanford.nlp.time.SUTime
-
- RANGE_RESOLVE_TIME_REF - Static variable in class edu.stanford.nlp.time.SUTime
-
- RARE_WORD_MIN_FEATURE_THRESH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- RARE_WORD_THRESH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- read() - Method in class edu.stanford.nlp.io.ReaderInputStream
-
Reads from the Reader
, returning the same value.
- read(byte[], int, int) - Method in class edu.stanford.nlp.io.ReaderInputStream
-
Reads from the Reader
into a byte array
- read(DataInputStream) - Method in class edu.stanford.nlp.ling.WordTag
-
- read(DataInputStream) - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
-
- read(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
-
- read(DataInputStream) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
-
- read(DataInputStream) - Method in class edu.stanford.nlp.tagger.maxent.FeatureKey
-
- read(String) - Method in class edu.stanford.nlp.tagger.maxent.TTags
-
- read(DataInputStream) - Method in class edu.stanford.nlp.tagger.maxent.TTags
-
- read() - Method in class edu.stanford.nlp.util.StringParsingTask
-
- read_lambdas(DataInputStream) - Static method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Read the lambdas from the stream.
- readAndParseTag(Reader) - Static method in class edu.stanford.nlp.util.XMLUtils
-
- readCEDict(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
- readCEDict(String, String, String, String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
- readClassifier(String) - Static method in class edu.stanford.nlp.classify.LinearClassifier
-
Loads a classifier from a file.
- readColumnSet(String, int) - Static method in class edu.stanford.nlp.io.IOUtils
-
Read column as set
- readConfig(DataInputStream) - Static method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
Read in a TaggerConfig.
- readCoNLLUFile(String) - Method in class edu.stanford.nlp.pipeline.CoNLLUReader
-
Read a CoNLL-U file and generate a list of Annotations
- readCoNLLUFileCreateCoNLLUDocuments(String) - Method in class edu.stanford.nlp.pipeline.CoNLLUReader
-
Read a CoNLL-U file and generate a list of CoNLLUDocument objects
- readCoNLLUFileCreateCoNLLXLines(String) - Method in class edu.stanford.nlp.pipeline.CoNLLUReader
-
Read a CoNLL-U file and generate a list of CoNLL-X lines
- readCoNLLXGrammaticalStructureCollection(String) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
-
- readCoNLLXGrammaticalStructureCollection(String, Map<String, GrammaticalRelation>, GrammaticalStructureFromDependenciesFactory) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Read in a file containing a CoNLL-X dependency treebank and return a
corresponding list of GrammaticalStructures.
- readCoNLLXGrammaticalStructureCollection(String) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
-
- readCoNLLXGrammaticalStructureCollection(String) - Static method in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalStructure
-
- readCoNLLXGrammaticalStructureCollection(String) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
-
- readCSVStrictly(char[], int) - Static method in class edu.stanford.nlp.io.IOUtils
-
Read a CSV file character by character.
- readCSVStrictly(String, int) - Static method in class edu.stanford.nlp.io.IOUtils
-
- readCSVWithHeader(String, char, char) - Static method in class edu.stanford.nlp.io.IOUtils
-
Read in a CSV formatted file with a header row.
- readCSVWithHeader(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
- readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
Default is to throw exception.
- readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Populates data in this Lexicon from the character stream given by the
Reader r.
- readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- readData(BufferedReader) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
-
Read from text grammar.
- readData(BufferedReader) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
Read the lexicon from the BufferedReader in the format written by
writeData.
- readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
Populates data in this DependencyGrammar from the character stream
given by the Reader r.
- readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
-
- readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.Options
-
Populates data in this Options from the character stream.
- ReadDataTagged - Class in edu.stanford.nlp.tagger.maxent
-
Reads tagged data from a file and creates a dictionary.
- ReadDataTagged(TaggerConfig, MaxentTagger, PairsHolder) - Constructor for class edu.stanford.nlp.tagger.maxent.ReadDataTagged
-
- readDependencies(String) - Method in interface edu.stanford.nlp.trees.DependencyReader
-
- readDocumentFromFile(String) - Static method in class edu.stanford.nlp.util.XMLUtils
-
- readDocumentFromString(String) - Static method in class edu.stanford.nlp.util.XMLUtils
-
- readDot() - Method in class edu.stanford.nlp.util.StringParsingTask
-
- readDoubleArr(DataInputStream) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- reader() - Method in class edu.stanford.nlp.tagger.io.TaggedFileRecord
-
- readerAndWriter - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- readerFromFile(File) - Static method in class edu.stanford.nlp.io.IOUtils
-
Open a BufferedReader to a File.
- readerFromFile(File, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Open a BufferedReader to a File.
- readerFromStdin() - Static method in class edu.stanford.nlp.io.IOUtils
-
Open a BufferedReader on stdin.
- readerFromStdin(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Open a BufferedReader on stdin.
- readerFromString(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Open a BufferedReader to a file, class path entry or URL specified by a String name.
- readerFromString(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Open a BufferedReader to a file or URL specified by a String name.
- ReaderInputStream - Class in edu.stanford.nlp.io
-
Adapts a Reader
as an InputStream
.
- ReaderInputStream(Reader) - Constructor for class edu.stanford.nlp.io.ReaderInputStream
-
Construct a ReaderInputStream
for the specified Reader
.
- ReaderInputStream(Reader, String) - Constructor for class edu.stanford.nlp.io.ReaderInputStream
-
Construct a ReaderInputStream
for the specified Reader
,
with the specified encoding.
- ReaderIteratorFactory - Class in edu.stanford.nlp.objectbank
-
A ReaderIteratorFactory provides a means of getting an Iterator
which returns java.util.Readers over a Collection of input
sources.
- ReaderIteratorFactory(Collection<?>) - Constructor for class edu.stanford.nlp.objectbank.ReaderIteratorFactory
-
Constructs a ReaderIteratorFactory from the input sources
contained in the Collection.
- ReaderIteratorFactory(Collection<?>, String) - Constructor for class edu.stanford.nlp.objectbank.ReaderIteratorFactory
-
- ReaderIteratorFactory(Object) - Constructor for class edu.stanford.nlp.objectbank.ReaderIteratorFactory
-
Convenience constructor to construct a ReaderIteratorFactory from a single
input source.
- ReaderIteratorFactory(Object, String) - Constructor for class edu.stanford.nlp.objectbank.ReaderIteratorFactory
-
- ReaderIteratorFactory() - Constructor for class edu.stanford.nlp.objectbank.ReaderIteratorFactory
-
- readFloatArr(DataInputStream) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- readGrammaticalStructureFromFile(String) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
- readGrammaticalStructureFromFile(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- readGrammaticalStructureFromFile(String) - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
- readGrammaticalStructureFromFile(String) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
Returns a function which reads the given filename and turns its
content in a list of GrammaticalStructures.
- readJavaIdentifier() - Method in class edu.stanford.nlp.util.StringParsingTask
-
- readL(String) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Read the lambdas from the file.
- readLeftParen() - Method in class edu.stanford.nlp.util.StringParsingTask
-
- readLines(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns an Iterable of the lines in the file.
- readLines(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns an Iterable of the lines in the file.
- readLines(File) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns an Iterable of the lines in the file.
- readLines(File, Class<? extends InputStream>) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns an Iterable of the lines in the file.
- readLines(File, Class<? extends InputStream>, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns an Iterable of the lines in the file, wrapping the generated
FileInputStream with an instance of the supplied class.
- readMacros(String) - Static method in class edu.stanford.nlp.trees.tregex.Macros
-
- readMacros(String, String) - Static method in class edu.stanford.nlp.trees.tregex.Macros
-
- readMacros(BufferedReader) - Static method in class edu.stanford.nlp.trees.tregex.Macros
-
- readMap(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
- readModelAndInit(Properties, String, boolean) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
This reads the complete tagger from a single model stored in a file, at a URL,
or as a resource in a jar file, and initializes the tagger using a
combination of the properties passed in and parameters from the file.
- readModelAndInit(Properties, InputStream, boolean) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
This reads the complete tagger from a single model provided as an InputStream,
and initializes the tagger using a
combination of the properties passed in and parameters from the file.
- readModelAndInit(Properties, DataInputStream, boolean) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
This reads the complete tagger from a single model file, and inits
the tagger using a combination of the properties passed in and
parameters from the file.
- readName() - Method in class edu.stanford.nlp.util.StringParsingTask
-
- readObjectAnnouncingTimingFromURLOrClasspathOrFileSystem(Redwood.RedwoodChannels, String, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
- readObjectFromColumns(Class, String, String[], String) - Static method in class edu.stanford.nlp.io.IOUtils
-
- readObjectFromFile(File) - Static method in class edu.stanford.nlp.io.IOUtils
-
Read an object from a stored file.
- readObjectFromFile(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Read an object from a stored file.
- readObjectFromFileNoExceptions(File) - Static method in class edu.stanford.nlp.io.IOUtils
-
Read an object from a stored file without throwing exceptions.
- readObjectFromObjectStream(ObjectInputStream) - Static method in class edu.stanford.nlp.io.IOUtils
-
- readObjectFromURLOrClasspathOrFileSystem(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Read an object from a stored file.
- readPhrases(String, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
Read in phrases from a file (assumed to be tab delimited)
- readPhrases(String, boolean, String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
Read in phrases from a file.
- readPhrases(String, boolean, Pattern) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- readPhrases(String, int, int) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- readPhrasesWithTagScores(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
Read in phrases where there is each pattern has a score of being associated with a certain tag.
- readPhrasesWithTagScores(String, String, String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- readPhrasesWithTagScores(String, Pattern, Pattern) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- readResolve() - Method in class edu.stanford.nlp.sequences.Clique
-
- readResolve() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
-
When deserializing a GrammaticalRelation, it needs to be matched
up with the existing singleton relation of the same type.
- readRightParen() - Method in class edu.stanford.nlp.util.StringParsingTask
-
- readStdin - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- readStreamFromString(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns an ObjectInputStream reading from any of a URL, a CLASSPATH resource, or a file.
- readSVMLightFormat(String) - Static method in class edu.stanford.nlp.classify.Dataset
-
Constructs a Dataset by reading in a file in SVM light format.
- readSVMLightFormat(String, List<String>) - Static method in class edu.stanford.nlp.classify.Dataset
-
Constructs a Dataset by reading in a file in SVM light format.
- readSVMLightFormat(String, Index<String>, Index<String>) - Static method in class edu.stanford.nlp.classify.Dataset
-
Constructs a Dataset by reading in a file in SVM light format.
- readSVMLightFormat(String, Index<String>, Index<String>, List<String>) - Static method in class edu.stanford.nlp.classify.Dataset
-
Constructs a Dataset by reading in a file in SVM light format.
- readSVMLightFormat(String) - Static method in class edu.stanford.nlp.classify.RVFDataset
-
Constructs a Dataset by reading in a file in SVM light format.
- readSVMLightFormat(String, List<String>) - Static method in class edu.stanford.nlp.classify.RVFDataset
-
Constructs a Dataset by reading in a file in SVM light format.
- readSVMLightFormat(String, Index<String>, Index<String>) - Static method in class edu.stanford.nlp.classify.RVFDataset
-
Constructs a Dataset by reading in a file in SVM light format.
- readSVMLightFormat(File) - Method in class edu.stanford.nlp.classify.RVFDataset
-
Read SVM-light formatted data into this dataset.
- readTag(Reader) - Static method in class edu.stanford.nlp.util.XMLUtils
-
Reads all text of the XML tag and returns it as a String.
- readTree() - Method in class edu.stanford.nlp.trees.FilteringTreeReader
-
Reads a single tree.
- readTree() - Method in class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReader
-
- readTree() - Method in class edu.stanford.nlp.trees.international.pennchinese.FragDiscardingPennTreeReader
-
- readTree() - Method in class edu.stanford.nlp.trees.PennTreeReader
-
Reads a single tree in standard Penn Treebank format from the
input stream.
- readTree() - Method in interface edu.stanford.nlp.trees.TreeReader
-
Reads a single tree.
- readTree(String, TreeFactory) - Static method in class edu.stanford.nlp.trees.Trees
-
Simple tree reading utility method.
- readTree(String) - Static method in class edu.stanford.nlp.trees.Trees
-
Simple tree reading utility method.
- readUntilTag(Reader) - Static method in class edu.stanford.nlp.util.XMLUtils
-
Reads all text up to next XML tag and returns it as a String.
- readWhiteSpace() - Method in class edu.stanford.nlp.util.StringParsingTask
-
- realSysErr - Static variable in class edu.stanford.nlp.util.logging.Redwood
-
The real System.err stream
- realSysOut - Static variable in class edu.stanford.nlp.util.logging.Redwood
-
The real System.out stream
- recalculatePrevBatch - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
- recall() - Method in class edu.stanford.nlp.util.ConfusionMatrix.Contingency
-
- recomputeTotal() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- Record(Object, Object[], int, long) - Constructor for class edu.stanford.nlp.util.logging.Redwood.Record
-
Create a new Record, based on the content of the log, the channels, and
the depth
- RecordHandlerTree() - Constructor for class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
-
- RecordHandlerTree(LogRecordHandler) - Constructor for class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
-
- recordScore(KBestViterbiParser, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.ScoreEval
-
- recurse(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
-
p is parent
- RED - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
-
- RedirectOutputHandler<LoggerClass,ChannelEquivalent> - Class in edu.stanford.nlp.util.logging
-
A class to redirect the output of Redwood to another logging mechanism,
e.g., java.util.logging.
- RedirectOutputHandler(LoggerClass, Method) - Constructor for class edu.stanford.nlp.util.logging.RedirectOutputHandler
-
Create a redirect handler, with a logging class, ignoring logging
levels.
- RedirectOutputHandler(LoggerClass, Method, Map<Object, ChannelEquivalent>, ChannelEquivalent) - Constructor for class edu.stanford.nlp.util.logging.RedirectOutputHandler
-
Create a redirect handler, with a logging class, redirecting both the logging
message, and the channel that it came from
- reduceGranularityTo(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
-
- reduceGranularityTo(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- reduceGranularityTo(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Time
-
- Redwood - Class in edu.stanford.nlp.util.logging
-
A hierarchical channel-based logger.
- Redwood.ConsoleHandler - Class in edu.stanford.nlp.util.logging
-
Default output handler which actually prints things to the real System.out
- Redwood.FileHandler - Class in edu.stanford.nlp.util.logging
-
Handler which prints to a specified file.
- Redwood.Flag - Enum in edu.stanford.nlp.util.logging
-
Standard channels; enum for the sake of efficiency.
- Redwood.Record - Class in edu.stanford.nlp.util.logging
-
A log record, which encapsulates the information needed
to eventually display the enclosed message.
- Redwood.RecordHandlerTree - Class in edu.stanford.nlp.util.logging
-
A tree structure of record handlers
- Redwood.RedwoodChannels - Class in edu.stanford.nlp.util.logging
-
Represents a collection of channels.
- Redwood.Util - Class in edu.stanford.nlp.util.logging
-
A utility class for Redwood intended for static import
(import static edu.stanford.nlp.util.logging.Redwood.Util.*;),
providing a wrapper for Redwood functions and adding utility shortcuts.
- RedwoodChannels(Object...) - Constructor for class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
-
- RedwoodConfiguration - Class in edu.stanford.nlp.util.logging
-
A class which encapsulates configuration settings for Redwood.
- RedwoodConfiguration() - Constructor for class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
Private constructor to prevent use of "new RedwoodConfiguration()"
- RedwoodConfiguration.Handlers - Class in edu.stanford.nlp.util.logging
-
- RedwoodConfiguration.Thunk - Interface in edu.stanford.nlp.util.logging
-
- RedwoodHandler() - Constructor for class edu.stanford.nlp.util.logging.JavaUtilLoggingAdaptor.RedwoodHandler
-
- RedwoodPrintStream - Class in edu.stanford.nlp.util.logging
-
A PrintStream that writes to Redwood logs.
- RedwoodPrintStream(Redwood.Flag, PrintStream) - Constructor for class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- REFERENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "referent" grammatical relation.
- REFERENT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "referent" grammatical relation.
- ReflectionLoading - Class in edu.stanford.nlp.util
-
The goal of this class is to make it easier to load stuff by
reflection.
- ReflectionLoading.ReflectionLoadingException - Exception in edu.stanford.nlp.util
-
This class encapsulates all of the exceptions that can be thrown
when loading something by reflection.
- ReflectionLoadingException(String, Throwable) - Constructor for exception edu.stanford.nlp.util.ReflectionLoading.ReflectionLoadingException
-
- RefTime(String) - Constructor for class edu.stanford.nlp.time.SUTime.RefTime
-
- RefTime(SUTime.StandardTemporalType, String, String) - Constructor for class edu.stanford.nlp.time.SUTime.RefTime
-
- regCost - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- regDistanceBin(int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- regDistanceBins - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- regentText - Variable in class edu.stanford.nlp.trees.UnnamedDependency
-
- regexesToPatterns(Iterable<String>) - Static method in class edu.stanford.nlp.util.StringUtils
-
- RegExFileFilter - Class in edu.stanford.nlp.io
-
Implements a file filter that filters based on a passed in
Pattern
.
- RegExFileFilter(Pattern) - Constructor for class edu.stanford.nlp.io.RegExFileFilter
-
Sets up a RegExFileFilter which checks if the file name (not the
entire path) matches the passed in
Pattern
.
- regexGroups(Pattern, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Given a pattern, which contains one or more capturing groups, and a String,
returns a list with the values of the
captured groups in the pattern.
- RegexMatchResultVarExpression(String, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexMatchResultVarExpression
-
- RegexMatchResultVarExpression(Integer, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexMatchResultVarExpression
-
- RegexMatchVarExpression(String, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexMatchVarExpression
-
- RegexMatchVarExpression(Integer, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexMatchVarExpression
-
- RegexStringFilter - Class in edu.stanford.nlp.util
-
Filters Strings based on whether they match a given regex.
- RegexStringFilter(String) - Constructor for class edu.stanford.nlp.util.RegexStringFilter
-
- RegexValue(String, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexValue
-
- region(int, int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
Set region to search in.
- regionEnd() - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
- regionStart() - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
- regParameter - Variable in class edu.stanford.nlp.parser.nndep.Config
-
Regularization parameter.
- regularGradientAndValue() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- regularGradientAndValue() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionNoisyLabel
-
- regularizeSoftmaxTieParam - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- reinit() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
This method should be called after there have been changes to the flags
(SeqClassifierFlags) variable, such as after deserializing a classifier.
- ReInit(InputStream) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
Reinitialise.
- ReInit(InputStream, String) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
Reinitialise.
- ReInit(Reader) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
Reinitialise.
- ReInit(TokenSequenceParserTokenManager) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
Reinitialise.
- rejectFilter() - Static method in class edu.stanford.nlp.util.Filters
-
The rejectFilter accepts nothing.
- REL_FLAGS_AFTER - Static variable in class edu.stanford.nlp.util.Interval
-
- REL_FLAGS_BEFORE - Static variable in class edu.stanford.nlp.util.Interval
-
- REL_FLAGS_EE_AFTER - Static variable in class edu.stanford.nlp.util.Interval
-
The first interval ends after the second ends
- REL_FLAGS_EE_BEFORE - Static variable in class edu.stanford.nlp.util.Interval
-
The first interval ends before the second ends
- REL_FLAGS_EE_SAME - Static variable in class edu.stanford.nlp.util.Interval
-
Both intervals have the same end point
- REL_FLAGS_EE_SHIFT - Static variable in class edu.stanford.nlp.util.Interval
-
- REL_FLAGS_EE_UNKNOWN - Static variable in class edu.stanford.nlp.util.Interval
-
The relationship between the end points of the
two intervals is unknown (used for fuzzy intervals)
- REL_FLAGS_ES_AFTER - Static variable in class edu.stanford.nlp.util.Interval
-
The end point of the first interval is after
the start point of the second interval
(the two intervals overlap)
- REL_FLAGS_ES_BEFORE - Static variable in class edu.stanford.nlp.util.Interval
-
The end point of the first interval is before
the start point of the second interval
(the first interval is before the second)
- REL_FLAGS_ES_SAME - Static variable in class edu.stanford.nlp.util.Interval
-
The end point of the first interval is the same
as the start point of the second interval
(the first interval is before the second)
- REL_FLAGS_ES_SHIFT - Static variable in class edu.stanford.nlp.util.Interval
-
- REL_FLAGS_ES_UNKNOWN - Static variable in class edu.stanford.nlp.util.Interval
-
The relationship between the end point of the first
interval and the start point of the second interval
is unknown (used for fuzzy intervals)
- REL_FLAGS_INTERVAL_AFTER - Static variable in class edu.stanford.nlp.util.Interval
-
The first interval is entirely after the second interval
(the start of the first interval happens after the end of the second)
- REL_FLAGS_INTERVAL_ALMOST_AFTER - Static variable in class edu.stanford.nlp.util.Interval
-
- REL_FLAGS_INTERVAL_ALMOST_BEFORE - Static variable in class edu.stanford.nlp.util.Interval
-
- REL_FLAGS_INTERVAL_ALMOST_SAME - Static variable in class edu.stanford.nlp.util.Interval
-
- REL_FLAGS_INTERVAL_BEFORE - Static variable in class edu.stanford.nlp.util.Interval
-
The first interval is entirely before the second interval
(the end of the first interval happens before the start of the second)
- REL_FLAGS_INTERVAL_CONTAIN - Static variable in class edu.stanford.nlp.util.Interval
-
The first interval contains the second interval.
- REL_FLAGS_INTERVAL_FUZZY - Static variable in class edu.stanford.nlp.util.Interval
-
- REL_FLAGS_INTERVAL_INSIDE - Static variable in class edu.stanford.nlp.util.Interval
-
The first interval is inside the second interval.
- REL_FLAGS_INTERVAL_OVERLAP - Static variable in class edu.stanford.nlp.util.Interval
-
The first interval overlaps with the second interval.
- REL_FLAGS_INTERVAL_SAME - Static variable in class edu.stanford.nlp.util.Interval
-
The intervals are the same (have the same start and end points).
- REL_FLAGS_INTERVAL_UNKNOWN - Static variable in class edu.stanford.nlp.util.Interval
-
It is uncertain what the relationship between the
two intervals are...
- REL_FLAGS_SAME - Static variable in class edu.stanford.nlp.util.Interval
-
- REL_FLAGS_SE_AFTER - Static variable in class edu.stanford.nlp.util.Interval
-
The start point of the first interval is after
the end point of the second interval
(the second interval is before the first)
- REL_FLAGS_SE_BEFORE - Static variable in class edu.stanford.nlp.util.Interval
-
The start point of the first interval is before
the end point of the second interval
(the two intervals overlap)
- REL_FLAGS_SE_SAME - Static variable in class edu.stanford.nlp.util.Interval
-
The start point of the first interval is the same
as the end point of the second interval
(the second interval is before the first)
- REL_FLAGS_SE_SHIFT - Static variable in class edu.stanford.nlp.util.Interval
-
- REL_FLAGS_SE_UNKNOWN - Static variable in class edu.stanford.nlp.util.Interval
-
The relationship between the start point of the first
interval and the end point of the second interval
is unknown (used for fuzzy intervals)
- REL_FLAGS_SS_AFTER - Static variable in class edu.stanford.nlp.util.Interval
-
The first interval starts after the second starts
- REL_FLAGS_SS_BEFORE - Static variable in class edu.stanford.nlp.util.Interval
-
The first interval starts before the second starts
- REL_FLAGS_SS_SAME - Static variable in class edu.stanford.nlp.util.Interval
-
Both intervals have the same start point
- REL_FLAGS_SS_SHIFT - Static variable in class edu.stanford.nlp.util.Interval
-
- REL_FLAGS_SS_UNKNOWN - Static variable in class edu.stanford.nlp.util.Interval
-
The relationship between the start points of the
two intervals is unknown (used for fuzzy intervals)
- REL_FLAGS_UNKNOWN - Static variable in class edu.stanford.nlp.util.Interval
-
- relation - Variable in class edu.stanford.nlp.ie.util.RelationTriple
-
The relation (second argument) of this triple.
- relationGloss() - Method in class edu.stanford.nlp.ie.util.RelationTriple
-
The relation of this relation triple, as a String
- relationHead() - Method in class edu.stanford.nlp.ie.util.RelationTriple
-
The head of the relation of this relation triple.
- relationHead() - Method in class edu.stanford.nlp.ie.util.RelationTriple.WithTree
-
The head of the relation of this relation triple.
- relationLemmaGloss() - Method in class edu.stanford.nlp.ie.util.RelationTriple
-
The relation of this relation triple, as a String of the relation's lemmas.
- relationTokenSpan() - Method in class edu.stanford.nlp.ie.util.RelationTriple
-
Get a representative span for the relation expressed by this triple.
- RelationTriple - Class in edu.stanford.nlp.ie.util
-
A (subject, relation, object) triple; e.g., as used in the KBP challenges or in OpenIE systems.
- RelationTriple(List<CoreLabel>, List<CoreLabel>, List<CoreLabel>, double) - Constructor for class edu.stanford.nlp.ie.util.RelationTriple
-
Create a new triple with known values for the subject, relation, and object.
- RelationTriple(List<CoreLabel>, List<CoreLabel>, List<CoreLabel>) - Constructor for class edu.stanford.nlp.ie.util.RelationTriple
-
- RelationTriple(List<CoreLabel>, List<CoreLabel>, List<CoreLabel>, List<CoreLabel>, List<CoreLabel>, double) - Constructor for class edu.stanford.nlp.ie.util.RelationTriple
-
Create a new triple with known values for the subject, relation, and object.
- RelationTriple(List<CoreLabel>, List<CoreLabel>, List<CoreLabel>, List<CoreLabel>, List<CoreLabel>) - Constructor for class edu.stanford.nlp.ie.util.RelationTriple
-
- RelationTriple.WithLink - Class in edu.stanford.nlp.ie.util
-
A
RelationTriple
, but with both the tree and the entity
links saved as well.
- RelationTriple.WithTree - Class in edu.stanford.nlp.ie.util
-
- RELATIVE - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The RELATIVE grammatical relation is only here as a temporary
relation.
- RELATIVE - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The RELATIVE grammatical relation is only here as a temporary
relation.
- RELATIVE_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "relative clause modifier" grammatical relation.
- RELATIVE_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "relative clause modifier" grammatical relation.
- RELATIVE_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "relative clause modifier" grammatical relation.
- RELATIVE_OFFSET_INEXACT - Static variable in class edu.stanford.nlp.time.SUTime
-
- relativeDateMap - Static variable in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
Map for mapping a relativeDate String to a pair with the field that should be modified and the amount to modify it *
- relativeIndex(int) - Method in class edu.stanford.nlp.sequences.Clique
-
- RelativeTime(SUTime.Time, SUTime.TemporalOp, SUTime.Temporal, int) - Constructor for class edu.stanford.nlp.time.SUTime.RelativeTime
-
- RelativeTime(SUTime.Time, SUTime.TemporalOp, SUTime.Temporal) - Constructor for class edu.stanford.nlp.time.SUTime.RelativeTime
-
- RelativeTime(SUTime.TemporalOp, SUTime.Temporal) - Constructor for class edu.stanford.nlp.time.SUTime.RelativeTime
-
- RelativeTime(SUTime.TemporalOp, SUTime.Temporal, int) - Constructor for class edu.stanford.nlp.time.SUTime.RelativeTime
-
- RelativeTime(SUTime.Duration) - Constructor for class edu.stanford.nlp.time.SUTime.RelativeTime
-
- RelativeTime(SUTime.Time, SUTime.Duration) - Constructor for class edu.stanford.nlp.time.SUTime.RelativeTime
-
- RelativeTime(SUTime.Time) - Constructor for class edu.stanford.nlp.time.SUTime.RelativeTime
-
- RELATIVIZING_WORD_PATTERN - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- RELATIVIZING_WORD_REGEX - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- RelaxedString() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- RelaxedStringNoIdentifier() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- RelaxedStringToken() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- relaxPriority(E, double) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
Promotes a key in the queue, adding it if it wasn't there already.
- relaxPriority(E, double) - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
Not supported in this implementation.
- relaxPriority(E, double) - Method in interface edu.stanford.nlp.util.PriorityQueue
-
Increases the priority of the E key to the new priority if the old priority
was lower than the new priority.
- release() - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
-
- reln(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns the relation that node a has with node b.
- reln() - Method in class edu.stanford.nlp.trees.TypedDependency
-
- relns(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns a set of relations which this node has with its parents.
- remove(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- remove(Object) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
-
- remove(Object) - Method in class edu.stanford.nlp.objectbank.ObjectBank
-
Unsupported Operation.
- remove(Object) - Method in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
-
Removes an Object from the underlying Collection of input sources.
- remove() - Method in class edu.stanford.nlp.process.AbstractTokenizer
-
This is an optional operation, by default not supported.
- remove(Object) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
-
- remove(E) - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Removes the given key and its associated value from this Counter.
- remove(E) - Method in interface edu.stanford.nlp.stats.Counter
-
Removes the given key and its associated value from this Counter.
- remove(E) - Method in class edu.stanford.nlp.stats.IntCounter
-
Removes the given key from this Counter.
- remove(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- remove(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- remove(K1, K2) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- remove(K1) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- remove(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- remove(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- remove() - Method in class edu.stanford.nlp.tagger.io.TextTaggedFileReader
-
- remove() - Method in class edu.stanford.nlp.tagger.io.TreeTaggedFileReader
-
- remove() - Method in class edu.stanford.nlp.tagger.io.TSVTaggedFileReader
-
- remove(int) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
- remove(Object) - Method in class edu.stanford.nlp.trees.Treebank
-
This operation isn't supported for a Treebank.
- remove() - Method in class edu.stanford.nlp.util.AbstractIterator
-
Throws an UnsupportedOperationException
.
- remove(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.util.ArrayCoreMap
-
Removes the given key from the map, returning the value removed.
- remove(Object) - Method in class edu.stanford.nlp.util.ArrayMap
-
- remove(Object) - Method in class edu.stanford.nlp.util.Beam
-
- remove() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
- remove(Object) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
- remove(Object) - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
Removes the mapping associated with this key from this Map.
- remove() - Method in class edu.stanford.nlp.util.ConcatenationIterator
-
- remove(Object) - Method in class edu.stanford.nlp.util.DeltaMap
-
- remove() - Method in class edu.stanford.nlp.util.FilteredIterator
-
- remove() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
Not supported -- next() already removes the head of the queue.
- remove(Object) - Method in class edu.stanford.nlp.util.IdentityHashSet
-
Removes the specified element from this set if it is present.
- remove(Object) - Method in class edu.stanford.nlp.util.IntervalTree
-
- remove(T) - Method in class edu.stanford.nlp.util.IntervalTree
-
- remove(IntervalTree.TreeNode<E, T>, T) - Method in class edu.stanford.nlp.util.IntervalTree
-
- remove() - Method in class edu.stanford.nlp.util.IterableIterator
-
- remove(Object) - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
- remove(K1, K2) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- remove(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
Removes all of the data associated with the first key in the map
- remove(Class<? extends TypesafeMap.Key<VALUE>>) - Method in interface edu.stanford.nlp.util.TypesafeMap
-
Removes the given key from the map, returning the value removed.
- REMOVE_ANNOTATION_TAG_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- REMOVE_VALUE_TAG_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- removeAll(Collection<?>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
-
- removeAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ObjectBank
-
Unsupported Operation.
- removeAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
-
Removes all Objects in Collection c from the underlying Collection of
input sources.
- removeAll(Collection<?>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
-
- removeAll(Collection<E>) - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Removes all the given keys from this Counter.
- removeAll(Collection<E>) - Method in class edu.stanford.nlp.stats.IntCounter
-
Removes all the given keys from this Counter.
- removeAll(Collection<K>) - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
Removes the mappings associated with the keys from this map.
- removeAll(Collection<?>) - Method in class edu.stanford.nlp.util.IntervalTree
-
- removeAll(Collection<?>) - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
- removeAt(double[], int) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
Removes the element at the specified index from the array, and returns
a new array containing the remaining elements.
- removeAt(Object[], int) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
Removes the element at the specified index from the array, and returns
a new array containing the remaining elements.
- removeBackgroundSingletonFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- removeChild(int) - Method in class edu.stanford.nlp.trees.Tree
-
Destructively removes the child at some daughter index and returns it.
- removeChild(int) - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Removes the ith child from the TreeGraphNode.
- removeChild(LogRecordHandler) - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
-
- removeChildren(Node) - Static method in class edu.stanford.nlp.time.XMLUtils
-
- removeDependencyRoots(List<Tree>) - Static method in class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
-
- removeEdge(V, V, E) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- removeEdge(V, V, E) - Method in interface edu.stanford.nlp.graph.Graph
-
- removeEdge(SemanticGraphEdge) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- removeEdges(V, V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- removeEdges(V, V) - Method in interface edu.stanford.nlp.graph.Graph
-
- removeEldestEntry(Map.Entry<K, V>) - Method in class edu.stanford.nlp.util.CacheMap
-
- removeFeature(String) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
-
Disable a feature.
- removeFirst() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
Finds the E with the highest priority, removes it,
and returns it.
- removeFirst() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
Returns the highest-priority element and removes it from the queue.
- removeFirst() - Method in interface edu.stanford.nlp.util.PriorityQueue
-
Finds the object with the highest priority, removes it,
and returns it.
- RemoveGFSubcategoryStripper() - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.RemoveGFSubcategoryStripper
-
- removeIf(Predicate<? super E>) - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
- removeKeys(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Removes all entries with keys in the given collection
- removeKeys(TwoDimensionalCounter<E, F>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Removes all entries with keys (first key set) in the given collection
- removeKeys(Map<K, V>, Collection<K>) - Static method in class edu.stanford.nlp.util.Maps
-
Removes keys from the map
- removeLast() - Method in class edu.stanford.nlp.maxent.Features
-
- removeLast() - Method in class edu.stanford.nlp.maxent.Problem
-
- removeLastEntry() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
Remove the last element of the heap (last in the index array).
- removeMapping(K, V) - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
Removes the value from the Collection mapped to by this key, leaving the
rest of the collection intact.
- removeNested(List<T>) - Static method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- removeNullValues(List<T>) - Static method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- removeObject(List<T>, T) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Removes the first occurrence in the list of the specified object, using
object identity (==) not equality as the criterion for object presence.
- removeOverlapping(List<T>) - Static method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- removeSecondTopStack() - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
- removeSoftHyphens(String) - Static method in class edu.stanford.nlp.process.LexerUtils
-
- removeStrictGoodCoNLLDuplicates - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- removeTag(String) - Method in class edu.stanford.nlp.ling.tokensregex.types.Tags
-
- removeTopN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- removeTopNPercent - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- removeTopStack() - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
- removeVertex(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
remove a vertex (and its edges) from the graph.
- removeVertex(V) - Method in interface edu.stanford.nlp.graph.Graph
-
remove a vertex (and its edges) from the graph.
- removeVertex(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- removeVertices(Collection<V>) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- removeVertices(Collection<V>) - Method in interface edu.stanford.nlp.graph.Graph
-
- removeXOverX(Tree) - Static method in class edu.stanford.nlp.trees.CoordinationTransformer
-
- removeZeroCounts() - Method in class edu.stanford.nlp.stats.IntCounter
-
Removes all keys whose count is 0.
- removeZeroCounts() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- removeZeroCounts() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- removeZeroDegreeNodes() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
Deletes nodes with zero incoming and zero outgoing edges
- removeZeroDegreeNodes() - Method in interface edu.stanford.nlp.graph.Graph
-
Deletes nodes with zero incoming and zero outgoing edges
- repeat(String, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
- repeat(char, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
- RepeatedRecordHandler - Class in edu.stanford.nlp.util.logging
-
Filters repeated messages and replaces them with the number of times they were logged.
- RepeatedRecordHandler(RepeatedRecordHandler.RepeatSemantics) - Constructor for class edu.stanford.nlp.util.logging.RepeatedRecordHandler
-
Create a new repeated log message handler, using the given semantics for what
constitutes a repeated record.
- RepeatedRecordHandler.ApproximateRepeatSemantics - Class in edu.stanford.nlp.util.logging
-
Judges two records to be equal if they come from the same place,
and begin with the same string, modulo numbers
- RepeatedRecordHandler.ExactRepeatSemantics - Class in edu.stanford.nlp.util.logging
-
Judges two records to be equal if they are from the same place,
and have the same message
- RepeatedRecordHandler.RepeatSemantics - Interface in edu.stanford.nlp.util.logging
-
Determines the semantics of what constitutes a repeated record
- RepeatPatternExpr(SequencePattern.PatternExpr, int, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.RepeatPatternExpr
-
- RepeatPatternExpr(SequencePattern.PatternExpr, int, int, boolean) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.RepeatPatternExpr
-
- replaceAll(List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
Replaces all occurrences of the pattern with the specified list.
- replaceAll(Function<V, ? extends V>) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
Replace each of the elements with the application of a function.
- replaceAllExtended(List<SequenceMatcher.MatchReplacement<T>>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
Replaces all occurrences of the pattern with the specified list
of replacement items (can include matched groups).
- replaceAscii(String) - Static method in class edu.stanford.nlp.util.UTF8EquivalenceFunction
-
- replaceFirst(List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
Replaces the first occurrence of the pattern with the specified list.
- replaceFirstExtended(List<SequenceMatcher.MatchReplacement<T>>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
Replaces the first occurrence of the pattern with the specified list
of replacement items (can include matched groups).
- replaceMerged(List<? extends CoreMap>, List<? extends MatchedExpression>) - Static method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- replaceMergedUsingTokenOffsets(List<? extends CoreMap>, List<? extends MatchedExpression>) - Static method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- replaceNode(Tree, Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
replaces all instances (by ==) of node with node1.
- report() - Method in class edu.stanford.nlp.util.Timing
-
Return elapsed time (without stopping timer).
- report(String, PrintStream) - Method in class edu.stanford.nlp.util.Timing
-
Print elapsed time (without stopping timer).
- report(String) - Method in class edu.stanford.nlp.util.Timing
-
Print elapsed time to System.err
(without stopping timer).
- report(Redwood.RedwoodChannels, String) - Method in class edu.stanford.nlp.util.Timing
-
Print elapsed time (without stopping timer).
- report(String, PrintWriter) - Method in class edu.stanford.nlp.util.Timing
-
Print elapsed time (without stopping timer).
- reportNano() - Method in class edu.stanford.nlp.util.Timing
-
Return elapsed time (without stopping timer).
- requirementsSatisfied() - Method in interface edu.stanford.nlp.pipeline.Annotator
-
Returns a set of requirements for which tasks this annotator can
provide.
- requires() - Method in interface edu.stanford.nlp.pipeline.Annotator
-
Returns the set of tasks which this annotator requires in order
to perform.
- rerankerKBest - Variable in class edu.stanford.nlp.parser.lexparser.Options
-
If the parser has a reranker, it looks at this many trees when
building the reranked list.
- reroute(Object, Object) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
Rename a channel to be something else
- RerouteChannel - Class in edu.stanford.nlp.util.logging
-
- RerouteChannel(Object, Object) - Constructor for class edu.stanford.nlp.util.logging.RerouteChannel
-
- RES_VERB - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "resultative complement" grammatical relation.
- reservedWords - Static variable in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
-
- reset() - Method in class edu.stanford.nlp.io.ReaderInputStream
-
Resets the StringReader.
- reset() - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
Clears matcher.
- reset() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
-
Resets the matcher so that its search starts over.
- reset() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
-
Resets the matcher so that its search starts over.
- reset() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
-
- resetRoots() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
This method should not be used if possible.
- ResettableReaderIteratorFactory - Class in edu.stanford.nlp.objectbank
-
Vends ReaderIterators which can always be rewound.
- ResettableReaderIteratorFactory(Collection<?>) - Constructor for class edu.stanford.nlp.objectbank.ResettableReaderIteratorFactory
-
Constructs a ResettableReaderIteratorFactory from the input sources
contained in the Collection.
- ResettableReaderIteratorFactory(Collection<?>, String) - Constructor for class edu.stanford.nlp.objectbank.ResettableReaderIteratorFactory
-
- ResettableReaderIteratorFactory(Object) - Constructor for class edu.stanford.nlp.objectbank.ResettableReaderIteratorFactory
-
Convenience constructor to construct a ResettableReaderIteratorFactory
from a single input source.
- ResettableReaderIteratorFactory(Object, String) - Constructor for class edu.stanford.nlp.objectbank.ResettableReaderIteratorFactory
-
Convenience constructor to construct a ResettableReaderIteratorFactory
from a single input source.
- ResettableReaderIteratorFactory() - Constructor for class edu.stanford.nlp.objectbank.ResettableReaderIteratorFactory
-
Constructs a ResettableReaderIteratorFactory with no initial
input sources.
- resetWeight() - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
NOTE: Nothing is actually done with this value.
- resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.JollyDayHolidays.JollyHoliday
-
- resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
-
- resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.Duration
-
- resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.DurationWithFields
-
- resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.ExplicitTemporalSet
-
- resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
-
- resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.InexactTime
-
- resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.OrdinalTime
-
- resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
-
- resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.Range
-
- resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.RefTime
-
- resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
-
- resolve(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.Time
-
- resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.TimeWithRange
-
- RESOLVE_NOW - Static variable in class edu.stanford.nlp.time.SUTime
-
- RESOLVE_TO_CLOSEST - Static variable in class edu.stanford.nlp.time.SUTime
-
- RESOLVE_TO_FUTURE - Static variable in class edu.stanford.nlp.time.SUTime
-
- RESOLVE_TO_PAST - Static variable in class edu.stanford.nlp.time.SUTime
-
- RESOLVE_TO_THIS - Static variable in class edu.stanford.nlp.time.SUTime
-
- resolveDowToDay(Partial, Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- resolveDowToDay(Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- resolveVars(String, Map) - Static method in class edu.stanford.nlp.util.StringUtils
-
Resolve variable.
- resolveWeek(Partial, Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- resolveWeek(Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- restart() - Method in class edu.stanford.nlp.util.Timing
-
Restart timer.
- restart(String, PrintStream) - Method in class edu.stanford.nlp.util.Timing
-
Print elapsed time and restart timer.
- restart(String) - Method in class edu.stanford.nlp.util.Timing
-
Print elapsed time to System.err
and restart timer.
- restart(String, PrintWriter) - Method in class edu.stanford.nlp.util.Timing
-
Print elapsed time and restart timer.
- restore(OutputStream) - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
- restoreSystemStreams() - Static method in class edu.stanford.nlp.util.logging.Redwood
-
Restores System.out and System.err to their original values
- restrictedArgMax(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- restrictLabels - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- restrictTransitionsTimit - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- result - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
- resultAnnotationExtractor - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- resultAnnotationField - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- resultAnnotationField - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
Annotation field(s) to put new annotation
- RESULTATIVE_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "resultative complement" grammatical relation.
- resultNestedAnnotationField - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- resultNestedAnnotationField - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
Annotation field for child/nested annotations
- resultsString(MaxentTagger) - Method in class edu.stanford.nlp.tagger.maxent.TestClassifier
-
- ResultStoringFloatMonitor - Class in edu.stanford.nlp.optimization
-
- ResultStoringFloatMonitor(int, String) - Constructor for class edu.stanford.nlp.optimization.ResultStoringFloatMonitor
-
- ResultStoringMonitor - Class in edu.stanford.nlp.optimization
-
- ResultStoringMonitor(int, String) - Constructor for class edu.stanford.nlp.optimization.ResultStoringMonitor
-
- resultTypeName - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.BooleanFunction
-
- resultTypeName - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericFunction
-
- resultTypeName - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.StringFunction
-
- retainAbove(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Removes all entries with counts below the given threshold, returning the
set of removed entries.
- retainAbove(TwoDimensionalCounter<E1, E2>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Removes all entries with counts below the given threshold, returning the
set of removed entries.
- retainAll(Collection<?>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
-
- retainAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ObjectBank
-
Unsupported Operation.
- retainAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
-
Removes all Objects from the underlying Collection of input sources
except those in Collection c
- retainAll(Collection<?>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
-
- retainAll(Collection<E>, Predicate<? super E>) - Static method in class edu.stanford.nlp.util.Filters
-
Removes all elements in the given Collection that aren't accepted by the given Filter.
- retainAll(Collection<?>) - Method in class edu.stanford.nlp.util.IntervalTree
-
- retainAll(Collection<?>) - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
- retainAll(Set<K1>) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
- retainBelow(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Removes all entries with counts above the given threshold, returning the
set of removed entries.
- retainBottom(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
-
Removes all entries from c except for the bottom num
.
- retainEntitySubclassification - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- retainFeatures(Set<F>) - Method in class edu.stanford.nlp.classify.GeneralDataset
-
Retains the given features in the Dataset.
- retainKeys(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Removes all entries with keys that does not match the given set of keys.
- retainKeys(Counter<E>, Predicate<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- retainMatchingKeys(Counter<String>, List<Pattern>) - Static method in class edu.stanford.nlp.stats.Counters
-
Removes all entries with keys that does not match one of the given patterns.
- retainNonZeros(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Removes all entries with 0 count in the counter, returning the set of
removed entries.
- retainTop(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
-
Removes all entries from c except for the top num
.
- retainTopKeyComparable(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
-
Removes all entries from c except for the top num
.
- retainTopMass(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Retains the minimal set of top keys such that their count sum is more than thresholdCount.
- retrain(ObjectBank<List<IN>>, Index<String>, Index<String>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- retrain(ObjectBank<List<IN>>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- returnLastFoundSequence - Variable in class edu.stanford.nlp.sequences.SequenceGibbsSampler
-
- returnPreviousValues - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
- reverse(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- reverse(Comparator<? super T>) - Static method in class edu.stanford.nlp.util.Comparators
-
Returns a new Comparator
which is the reverse of the
given Comparator
.
- reverseIndexOrder(TwoDimensionalCounter<K1, K2>) - Static method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
Produces a new ConditionalCounter.
- reverseIndexOrder(TwoDimensionalIntCounter<K1, K2>) - Static method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
Produces a new ConditionalCounter.
- reverseKeys() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
- revert(int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- rif - Variable in class edu.stanford.nlp.objectbank.ObjectBank
-
- RIGHT - Static variable in class edu.stanford.nlp.parser.lexparser.IntDependency
-
- rightCharEdge(Tree) - Method in class edu.stanford.nlp.trees.Tree
-
Returns the positional index of the right edge of node within the tree,
as measured by characters.
- rightContext() - Method in class edu.stanford.nlp.tagger.maxent.Extractor
-
- rightEdge(Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
Returns the positional index of the right edge of a tree
t within a given root, as defined by the size of the yield
of all material preceding t plus all the material
contained in t.
- rightEdgeUnsafe(Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
Returns the positional index of the right edge of a tree
t within a given root, as defined by the size of the yield
of all material preceding t plus all the material
contained in t.
- rightMessage() - Method in class edu.stanford.nlp.sequences.Clique
-
- rightPhrasal - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Right edge has a phrasal node.
- rightRec - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Right edge is right-recursive (X << X) Bad.
- rightRotate(IntervalTree.TreeNode<E, T>) - Method in class edu.stanford.nlp.util.IntervalTree
-
- rightSisterLabels(Tree, Tree) - Static method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
-
string-value labels of right sisters; from inside to outside (left-right)
- rightWindow() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- rightWindow() - Method in class edu.stanford.nlp.ie.crf.TestSequenceModel
-
- rightWindow() - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
-
- rightWindow() - Method in class edu.stanford.nlp.sequences.FactoredSequenceModel
-
How many label positions to the right influence the label assignment
at a particular position.
- rightWindow() - Method in interface edu.stanford.nlp.sequences.SequenceModel
-
How many label positions to the right influence the label assignment
at a particular position.
- rightWindow() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- RoleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.RoleAnnotation
-
- ROOT - Static variable in class edu.stanford.nlp.parser.nndep.Config
-
Root token string.
- root() - Method in class edu.stanford.nlp.semgraph.semgrex.NodeAttributes
-
- ROOT - Static variable in class edu.stanford.nlp.trees.GrammaticalRelation
-
The "root" grammatical relation between a faked "ROOT" node, and the root of the sentence.
- root() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Return the root Tree of this GrammaticalStructure.
- rootHandler() - Static method in class edu.stanford.nlp.util.logging.Redwood
-
- rootLabel - Variable in class edu.stanford.nlp.parser.nndep.ParsingSystem
-
Dependency label used between root of sentence and ROOT node.
- rootLabelOnlyFormat - Static variable in class edu.stanford.nlp.trees.TreePrint
-
- rootNode() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
-
- rootSymbol() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
-
- rootTW(IntTaggedWord) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- rotateUp(IntervalTree.TreeNode<E, T>, IntervalTree.TreeNode<E, T>) - Method in class edu.stanford.nlp.util.IntervalTree
-
- round(double) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Round a double to the nearest integer, via conventional rules
(.5 rounds up, .49 rounds down), and return the result, still as a double.
- round(double, int) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Round a double to the given number of decimal places,
rounding to the nearest value via conventional rules (5 rounds up, 49
rounds down).
- Rule(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- ruleDiscount - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Discounts the count of BinaryRule's (only, apparently) in training data.
- RuleErrorEval(String) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval.RuleErrorEval
-
- ruleIteratorByWord(String, int) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Returns the possible POS taggings for a word.
- ruleIteratorByWord(int, int, String) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Generate the possible taggings for a word at a sentence position.
- ruleIteratorByWord(String, int, String) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- ruleIteratorByWord(int, int, String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- ruleIteratorByWord(String, int, String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- ruleIteratorByWord(int, int, String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- ruleIteratorByWord(String, int, String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- ruleIteratorByWord(int, int, String) - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexicon
-
Rule table is lemmas.
- ruleIteratorByWord(int, int, String) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
Get an iterator over all rules (pairs of (word, POS)) for this word.
- ruleIteratorByWord(String, int, String) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
Same thing, but with a string that needs to be translated by the
lexicon's word index
- RuleList(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- ruleList() - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.ListExtractRule
-
- ruleSmoothing - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Enables linear rule smoothing during grammar extraction
but before grammar compaction.
- ruleSmoothingAlpha - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- rulesWithWord - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
An array of Lists of rules (IntTaggedWord), indexed by word.
- ruleType - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
Type of rule to apply: token string match, pattern string match
- run() - Method in class edu.stanford.nlp.ie.NERServer
-
Runs this named entity recognizer server.
- run() - Method in class edu.stanford.nlp.util.ByteStreamGobbler
-
- run() - Method in class edu.stanford.nlp.util.MemoryMonitor.PeakMemoryMonitor
-
- run() - Method in class edu.stanford.nlp.util.StreamGobbler
-
- run(ProcessBuilder) - Static method in class edu.stanford.nlp.util.SystemUtils
-
Start the process defined by the ProcessBuilder, and run until complete.
- run(ProcessBuilder, Writer, Writer) - Static method in class edu.stanford.nlp.util.SystemUtils
-
Start the process defined by the ProcessBuilder, and run until complete.
- runningAverages - Variable in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- runShellCommand(String[], StringBuilder, StringBuilder) - Static method in class edu.stanford.nlp.util.SystemUtils
-
Runs the shell command which is specified, along with its arguments, in the
given String
array.
- runShellCommand(String[], File, StringBuilder, StringBuilder) - Static method in class edu.stanford.nlp.util.SystemUtils
-
Runs the shell command which is specified, along with its arguments, in the
given String
array.
- runShellCommand(String, StringBuilder, StringBuilder) - Static method in class edu.stanford.nlp.util.SystemUtils
-
Runs the shell command which is specified, along with its arguments, in the
given String
.
- runShellCommand(String[], StringBuilder) - Static method in class edu.stanford.nlp.util.SystemUtils
-
Runs the shell command which is specified, along with its arguments, in the
given String
array.
- runShellCommand(String, StringBuilder) - Static method in class edu.stanford.nlp.util.SystemUtils
-
Runs the shell command which is specified, along with its arguments, in the
given String
.
- runShellCommand(String[]) - Static method in class edu.stanford.nlp.util.SystemUtils
-
Runs the shell command which is specified, along with its arguments, in the
given String
array.
- runShellCommand(String) - Static method in class edu.stanford.nlp.util.SystemUtils
-
Runs the shell command which is specified, along with its arguments, in the
given String
.
- runTagger(Iterable<List<X>>, BufferedWriter, PlainTextDocumentReaderAndWriter.OutputStyle) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- runTagger(BufferedReader, BufferedWriter, String, PlainTextDocumentReaderAndWriter.OutputStyle) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
This method runs the tagger on the provided reader and writer.
- runTaggerSGML(BufferedReader, BufferedWriter, PlainTextDocumentReaderAndWriter.OutputStyle) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- runTaggerStdin(BufferedReader, BufferedWriter, PlainTextDocumentReaderAndWriter.OutputStyle) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- runtimeException(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- RuntimeInterruptedException - Exception in edu.stanford.nlp.util
-
- RuntimeInterruptedException() - Constructor for exception edu.stanford.nlp.util.RuntimeInterruptedException
-
- RuntimeInterruptedException(InterruptedException) - Constructor for exception edu.stanford.nlp.util.RuntimeInterruptedException
-
- RuntimeIOException - Exception in edu.stanford.nlp.io
-
- RuntimeIOException() - Constructor for exception edu.stanford.nlp.io.RuntimeIOException
-
Creates a new exception.
- RuntimeIOException(String) - Constructor for exception edu.stanford.nlp.io.RuntimeIOException
-
Creates a new exception with a message.
- RuntimeIOException(Throwable) - Constructor for exception edu.stanford.nlp.io.RuntimeIOException
-
Creates a new exception with an embedded cause.
- RuntimeIOException(String, Throwable) - Constructor for exception edu.stanford.nlp.io.RuntimeIOException
-
Creates a new exception with a message and an embedded cause.
- rvfcalculate(double[]) - Method in class edu.stanford.nlp.classify.AdaptedGaussianPriorObjectiveFunction
-
- rvfcalculate(double[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
Calculate conditional likelihood for datasets with real-valued features.
- RVFClassifier<L,F> - Interface in edu.stanford.nlp.classify
-
A simple interface for classifying and scoring data points with
real-valued features.
- RVFDataset<L,F> - Class in edu.stanford.nlp.classify
-
- RVFDataset() - Constructor for class edu.stanford.nlp.classify.RVFDataset
-
- RVFDataset(int, Index<F>, Index<L>) - Constructor for class edu.stanford.nlp.classify.RVFDataset
-
- RVFDataset(Index<F>, Index<L>) - Constructor for class edu.stanford.nlp.classify.RVFDataset
-
- RVFDataset(int) - Constructor for class edu.stanford.nlp.classify.RVFDataset
-
- RVFDataset(Index<L>, int[], Index<F>, int[][], double[][]) - Constructor for class edu.stanford.nlp.classify.RVFDataset
-
Constructor that fully specifies a Dataset.
- RVFDatum<L,F> - Class in edu.stanford.nlp.ling
-
A basic implementation of the Datum interface that can be constructed with a
Collection of features and one more more labels.
- RVFDatum(Counter<F>, L) - Constructor for class edu.stanford.nlp.ling.RVFDatum
-
Constructs a new RVFDatum with the given features and label.
- RVFDatum(Datum<L, F>) - Constructor for class edu.stanford.nlp.ling.RVFDatum
-
Constructs a new RVFDatum taking the data from a Datum.
- RVFDatum(Counter<F>) - Constructor for class edu.stanford.nlp.ling.RVFDatum
-
Constructs a new RVFDatum with the given features and no labels.
- RVFDatum() - Constructor for class edu.stanford.nlp.ling.RVFDatum
-
Constructs a new RVFDatum with no features or labels.
- s - Variable in class edu.stanford.nlp.util.StringParsingTask
-
- safeCompile(String, boolean) - Static method in class edu.stanford.nlp.trees.tregex.TregexPattern
-
Creates a pattern from the given string using the default HeadFinder and
BasicCategoryFunction.
- safeMax(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Returns the largest value in a vector of doubles.
- safeMean(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Returns the mean of a vector of doubles.
- safeMin(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Returns the smallest value in a vector of doubles.
- saferL2Norm(C) - Static method in class edu.stanford.nlp.stats.Counters
-
For counters with large # of entries, this scales down each entry in the
sum, to prevent an extremely large sum from building up and overwhelming
the max double.
- saferL2Normalize(C) - Static method in class edu.stanford.nlp.stats.Counters
-
L2 normalize a counter, using the "safer" L2 normalizer.
- safeStdev(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Returns the standard deviation of a vector of doubles.
- sameInnerList(PaddedList<E>) - Method in class edu.stanford.nlp.util.PaddedList
-
Returns true if this PaddedList and another are wrapping the
same list.
- sample - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
Used when you want to generate sample parses instead of finding the best
parse.
- sample(Counter<T>, Random) - Static method in class edu.stanford.nlp.stats.Counters
-
Does not assumes c is normalized.
- sample(Counter<T>) - Static method in class edu.stanford.nlp.stats.Counters
-
Does not assumes c is normalized.
- sample(List<E>, Random) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
- sample(Iterable<T>, int, int, Random) - Static method in class edu.stanford.nlp.util.Iterables
-
Sample k items uniformly from an Iterable of size n (without replacement).
- sampleDataset(long, double, boolean) - Method in class edu.stanford.nlp.classify.GeneralDataset
-
- sampleFrom(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
Samples from the distribution over words with this POS according to the lexicon.
- sampleFrom() - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
Samples over words regardless of POS: first samples POS, then samples
word according to that POS
- sampleFrom() - Method in class edu.stanford.nlp.stats.Distribution
-
Returns an object sampled from the distribution using Math.random().
- sampleFrom(Random) - Method in class edu.stanford.nlp.stats.Distribution
-
Returns an object sampled from the distribution using a self-provided
random number generator.
- sampleFromDistribution(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Samples from the distribution over values 0 through d.length given by d.
- sampleFromDistribution(double[], Random) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Samples from the distribution over values 0 through d.length given by d.
- sampleFromDistribution(float[], Random) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Samples from the distribution over values 0 through d.length given by d.
- sampleMethod - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
- samplePosition(SequenceModel, int[], int) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
-
Samples a single position in the sequence.
- samplePosition(SequenceModel, int[], int, double) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
-
Samples a single position in the sequence.
- Sampler<T> - Interface in edu.stanford.nlp.stats
-
An interace for drawing samples from the label
space of an object.
- sampleSequenceBackward(SequenceModel, int[]) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
-
Samples the complete sequence once in the backward direction
Destructively modifies the sequence in place.
- sampleSequenceBackward(SequenceModel, int[], double) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
-
Samples the complete sequence once in the backward direction
Destructively modifies the sequence in place.
- sampleSequenceForward(SequenceModel, int[]) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
-
Samples the complete sequence once in the forward direction
Destructively modifies the sequence in place.
- sampleSequenceForward(SequenceModel, int[], double, Set<Integer>) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
-
Samples the complete sequence once in the forward direction
Destructively modifies the sequence in place.
- sampleSequenceRepeatedly(SequenceModel, int[], int) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
-
Samples the sequence repeatedly, making numSamples passes over the entire sequence.
- sampleSequenceRepeatedly(SequenceModel, int) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
-
Samples the sequence repeatedly, making numSamples passes over the entire sequence.
- sampleWithoutReplacement(int[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Fills the array with sample from 0 to numArgClasses-1 without replacement.
- sampleWithoutReplacement(int[], int, Random) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Fills the array with sample from 0 to numArgClasses-1 without replacement.
- sampleWithoutReplacement(Collection<E>, int) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Samples without replacement from a collection.
- sampleWithoutReplacement(Collection<E>, int, Random) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Samples without replacement from a collection, using your own
Random
number generator.
- sampleWithReplacement(Collection<E>, int) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Samples with replacement from a collection.
- sampleWithReplacement(Collection<E>, int, Random) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Samples with replacement from a collection, using your own
Random
number generator.
- samplingSpeedUpThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- SATURDAY - Static variable in class edu.stanford.nlp.time.SUTime
-
- save(DataOutputStream) - Method in class edu.stanford.nlp.ling.WordTag
-
- save(DataOutputStream) - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
-
- save(DataOutputStream) - Method in class edu.stanford.nlp.tagger.maxent.FeatureKey
-
- save(String, Map<String, Set<String>>) - Method in class edu.stanford.nlp.tagger.maxent.TTags
-
- save(DataOutputStream, Map<String, Set<String>>) - Method in class edu.stanford.nlp.tagger.maxent.TTags
-
- save(DataOutputStream) - Method in class edu.stanford.nlp.util.Pair
-
Write a string representation of a Pair to a DataStream.
- save2DCounter(TwoDimensionalCounter<T1, T2>, String) - Static method in class edu.stanford.nlp.stats.Counters
-
- save2DCounterSorted(TwoDimensionalCounterInterface<T1, T2>, String) - Static method in class edu.stanford.nlp.stats.Counters
-
- save_lambdas(String) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Writes the lambda feature weights to the file.
- save_lambdas(DataOutputStream, double[]) - Static method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Writes the lambdas to a stream.
- saveConfig(OutputStream) - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
Serialize the TaggerConfig.
- saveCounter(Counter<E>, OutputStream) - Static method in class edu.stanford.nlp.stats.Counters
-
Saves a Counter as one key/count pair per line separated by white space to
the given OutputStream.
- saveCounter(Counter<E>, String) - Static method in class edu.stanford.nlp.stats.Counters
-
Saves a Counter to a text file.
- saveDoubleArr(DataOutputStream, double[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- SavedState() - Constructor for class edu.stanford.nlp.classify.CrossValidator.SavedState
-
- saveFeatureIndexToDisk - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- saveFloatArr(DataOutputStream, float[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- saveIntermediate - Variable in class edu.stanford.nlp.parser.nndep.Config
-
Save an intermediate model file whenever we see an improved UAS
evaluation.
- saveModel(String) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- saveModel(DataOutputStream) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- saveOutput - Variable in class edu.stanford.nlp.optimization.CmdEvaluator
-
- saveProcessedData(List<?>, String) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- saveToFilename(String) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Saves this out to a standard text file, instead of as a serialized Java object.
- saveToFilename(String) - Method in class edu.stanford.nlp.util.HashIndex
-
- saveToFilename(String) - Method in interface edu.stanford.nlp.util.Index
-
Save the contents of this index into a file.
- saveToWriter(Writer) - Method in class edu.stanford.nlp.util.HashIndex
-
This saves the contents of this index into string form, as part of a larger
text-serialization.
- saveToWriter(Writer) - Method in interface edu.stanford.nlp.util.Index
-
Save the contents of this index into string form, as part of a larger
text-serialization.
- SAXInterface() - Constructor for class edu.stanford.nlp.process.TransformXML.SAXInterface
-
- say(String) - Method in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
-
- say(String) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- sayln(String) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
-
- sayln(String) - Method in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
-
- sayln(String) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- sayVerbRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
A list of verbs which are verbs of speaking that easily take an S (as a complement or topicalized)
which is a direct speech ccomp.
- scale(C, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a new Counter which is scaled by the given scale factor.
- scale(TwoDimensionalCounter<T1, T2>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Creates a new TwoDimensionalCounter where all the counts are scaled by d.
- scaleDataset(RVFDataset<L, F>) - Method in class edu.stanford.nlp.classify.RVFDataset
-
Scales the values of each feature in each linearly using the min and max
values found in the training set.
- scaleDatasetGaussian(RVFDataset<L, F>) - Method in class edu.stanford.nlp.classify.RVFDataset
-
- scaleDatum(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.RVFDataset
-
Scales the values of each feature linearly using the min and max values
found in the training set.
- scaleDatumGaussian(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.RVFDataset
-
- scaledSGDMethod - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- ScaledSGDMinimizer<Q extends AbstractStochasticCachingDiffFunction> - Class in edu.stanford.nlp.optimization
-
Stochastic Gradient Descent To Quasi Newton Minimizer.
- ScaledSGDMinimizer(double, int, int) - Constructor for class edu.stanford.nlp.optimization.ScaledSGDMinimizer
-
- ScaledSGDMinimizer(double, int, int, int) - Constructor for class edu.stanford.nlp.optimization.ScaledSGDMinimizer
-
- ScaledSGDMinimizer(double, int, int, int, boolean) - Constructor for class edu.stanford.nlp.optimization.ScaledSGDMinimizer
-
- ScaledSGDMinimizer(double, int) - Constructor for class edu.stanford.nlp.optimization.ScaledSGDMinimizer
-
- ScaledSGDMinimizer.Weights - Class in edu.stanford.nlp.optimization
-
- scaleFeatures() - Method in class edu.stanford.nlp.classify.RVFDataset
-
Scales feature values linearly such that each feature value lies between 0
and 1.
- scaleFeaturesGaussian() - Method in class edu.stanford.nlp.classify.RVFDataset
-
- scaleUp - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
- scaleUp(boolean) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
- scaleWeights(double) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Scales the weights of this CRFClassifier by the specified weight.
- scaling(double[][], double, double) - Static method in class edu.stanford.nlp.parser.nndep.Util
-
Normalize word embeddings by setting mean = rMean, std = rStd
- scaling(double[][]) - Static method in class edu.stanford.nlp.parser.nndep.Util
-
Normalize word embeddings by setting mean = 0, std = 1
- scalingForInit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
How much to scale certain parameters when initializing models.
- score() - Method in class edu.stanford.nlp.fsm.DFSA
-
- score - Variable in class edu.stanford.nlp.fsm.DFSAState
-
- score() - Method in class edu.stanford.nlp.fsm.DFSAState
-
- score() - Method in class edu.stanford.nlp.fsm.DFSATransition
-
- score() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- score() - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
- score(IntDependency) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- score(int, int, int, int, boolean, int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- score(IntTaggedWord, int, String, String) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Get the score of this word with this tag (as an IntTaggedWord) at this
location.
- score(IntTaggedWord, int, String, String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- score(IntTaggedWord, int, String, String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexicon
-
- score(IntTaggedWord, int, String, String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- score(IntDependency) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
-
Score a IntDependency according to the grammar.
- score(int, int, int, int, boolean, int) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
-
Score a dependency according to the grammar, where the elements of the
dependency are represented in separate paramters.
- score(IntTaggedWord, int, String, String) - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexicon
-
- score(IntTaggedWord, int, String, String) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
Get the score of this word with this tag (as an IntTaggedWord) at this
loc.
- score(IntTaggedWord, int, double, double, double, String) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel
-
Get the score of this word with this tag (as an IntTaggedWord) at this
location loc in a sentence.
- score - Variable in class edu.stanford.nlp.semgraph.semgrex.Alignment
-
- score(ProbabilisticClassifier<L, F>, GeneralDataset<L, F>) - Method in class edu.stanford.nlp.stats.AccuracyStats
-
- score(ProbabilisticClassifier<L, F>, GeneralDataset<L, F>) - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
-
- score() - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
-
- score(Classifier<L, F>, GeneralDataset<L, F>) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- score(List<L>, List<L>, Index<L>) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
Returns the score (F1) for the given list of guesses
- score(List<L>, List<L>) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
Returns the score (F1) for the given list of guesses
- score() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- score(String, String) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- score(String, String, String) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- score(BufferedReader, String) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- score(BufferedReader, String, String) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- score(ProbabilisticClassifier<L, F>, GeneralDataset<L, F>) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
- score(Classifier<L, F>, GeneralDataset<L, F>) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
- score(ProbabilisticClassifier<L, F>, GeneralDataset<L, F>) - Method in interface edu.stanford.nlp.stats.Scorer
-
- score() - Method in class edu.stanford.nlp.trees.Constituent
-
access score
- score() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
-
Returns the score associated with the current node, or Nan
if there is no score
- score() - Method in class edu.stanford.nlp.trees.Tree
-
Returns the score associated with the current node, or NaN
if there is no score.
- score - Variable in class edu.stanford.nlp.util.EditDistance
-
- score(Object[], Object[]) - Method in class edu.stanford.nlp.util.EditDistance
-
- score(String, String) - Method in class edu.stanford.nlp.util.EditDistance
-
- score() - Method in interface edu.stanford.nlp.util.Scored
-
- score() - Method in class edu.stanford.nlp.util.ScoredObject
-
- SCORE_COMPARATOR - Static variable in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
- scoreAll(Collection<IntDependency>) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
- Scored - Interface in edu.stanford.nlp.util
-
Scored: This is a simple interface that says that an object can answer
requests for the score, or goodness of the object.
- ScoredComparator - Class in edu.stanford.nlp.util
-
ScoredComparator allows one to compare Scored things.
- ScoredObject<T> - Class in edu.stanford.nlp.util
-
Wrapper class for holding a scored object.
- ScoredObject(T, double) - Constructor for class edu.stanford.nlp.util.ScoredObject
-
- ScoreEval(String, boolean) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval.ScoreEval
-
- scoreOf(Datum<L, F>, L) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Returns of the score of the Datum for the specified label.
- scoreOf(int[], int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- scoreOf(int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
Returns the log probability of this sequence given the CRF.
- scoreOf(int[], int) - Method in class edu.stanford.nlp.ie.crf.TestSequenceModel
-
Return the score of the proposed tags for position given.
- scoreOf(int[]) - Method in class edu.stanford.nlp.ie.crf.TestSequenceModel
-
- scoreOf(int[]) - Method in class edu.stanford.nlp.ie.EmpiricalNERPriorBIO
-
- scoreOf(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
-
- scoreOf(int[], int) - Method in class edu.stanford.nlp.sequences.FactoredSequenceModel
-
Computes the score of the element at the given position in the sequence,
conditioned on the values of the elements in all other positions of the
provided sequence.
- scoreOf(int[]) - Method in class edu.stanford.nlp.sequences.FactoredSequenceModel
-
Computes the score assigned by this model to the whole sequence.
- scoreOf(int[]) - Method in interface edu.stanford.nlp.sequences.SequenceModel
-
Computes the score assigned by this model to the whole sequence.
- scoreOf(int[], int) - Method in interface edu.stanford.nlp.sequences.SequenceModel
-
Computes the score of the element at the given position in the sequence,
conditioned on the values of the elements in all other positions of the
provided sequence.
- scoreOf(int[], int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- scoreOf(int[]) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- scoreProbTagGivenWordSignature(IntTaggedWord, int, double, String) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel
-
Calculate P(Tag|Signature) with Bayesian smoothing via just P(Tag|Unknown).
- SCORER - Static variable in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
- Scorer<L> - Interface in edu.stanford.nlp.stats
-
- scoresOf(Datum<L, F>) - Method in interface edu.stanford.nlp.classify.Classifier
-
- scoresOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Construct a counter with keys the labels of the classifier and
values the score (unnormalized log probability) of each class.
- scoresOf(int[]) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Given a datum's features, construct a counter with keys
the labels and values the score (unnormalized log probability)
for each class.
- scoresOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Deprecated.
- scoresOf(Datum<L, F>, Collection<L>) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
- scoresOf(RVFDatum<L, F>) - Method in interface edu.stanford.nlp.classify.RVFClassifier
-
- scoresOf(int[], int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
Computes the unnormalized log conditional distribution over values of the
element at position pos in the sequence, conditioned on the values of the
elements in all other positions of the provided sequence.
- scoresOf(int[], int) - Method in class edu.stanford.nlp.ie.crf.TestSequenceModel
-
- scoresOf(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
-
- scoresOf(List<IN>, int) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- scoresOf(int[], int) - Method in class edu.stanford.nlp.sequences.FactoredSequenceModel
-
Computes the scores of labels for the element at the given position in
the sequence, conditioned on the values of the labels at all other
positions of the provided sequence.
- scoresOf(int[], int) - Method in interface edu.stanford.nlp.sequences.SequenceModel
-
Computes the scores of labels for the element at the given position in
the sequence, conditioned on the values of the labels at all other
positions of the provided sequence.
- scoresOf(int[], int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- scoreTB(int, int, int, int, boolean, int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- scoreTB(IntDependency) - Method in class edu.stanford.nlp.parser.lexparser.ChineseSimWordAvgDepGrammar
-
- scoreTB(IntDependency) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
-
Score an IntDependency in the reduced tagBin space according to the
grammar.
- scoreTB(int, int, int, int, boolean, int) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
-
Score a dependency according to the grammar, where the elements of the
dependency are represented in separate paramters.
- scoreTB(IntDependency) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
Score a tag binned dependency.
- SEARCH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- searchAndReplace(String, String, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
- searchGraphPrefix - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- searchGraphPrune - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- second - Variable in class edu.stanford.nlp.time.SUTime.IsoTime
-
- SECOND - Static variable in class edu.stanford.nlp.time.SUTime
-
- second - Variable in class edu.stanford.nlp.util.Pair
-
Direct access is deprecated.
- second() - Method in class edu.stanford.nlp.util.Pair
-
- second - Variable in class edu.stanford.nlp.util.Quadruple
-
- second() - Method in class edu.stanford.nlp.util.Quadruple
-
- second - Variable in class edu.stanford.nlp.util.Triple
-
- second() - Method in class edu.stanford.nlp.util.Triple
-
- secondKeySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- secondKeySet() - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- secondKeySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- secondKeySet() - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
- secondKeySet() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- secondOrderNonLinear - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- SectionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SectionAnnotation
-
- SectionAuthorCharacterOffsetBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SectionAuthorCharacterOffsetBeginAnnotation
-
- SectionAuthorCharacterOffsetEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SectionAuthorCharacterOffsetEndAnnotation
-
- SectionDateAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SectionDateAnnotation
-
- SectionEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SectionEndAnnotation
-
- SectionIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SectionIDAnnotation
-
- SectionIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SectionIndexAnnotation
-
- SectionsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SectionsAnnotation
-
- SectionStartAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SectionStartAnnotation
-
- SectionTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SectionTagAnnotation
-
- seenCounter - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Records the number of times word/tag pair was seen in training data.
- segMarker - Static variable in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
-
- segment(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- segment - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- segment(String) - Method in interface edu.stanford.nlp.process.WordSegmenter
-
- segmentationMarker - Variable in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
-
- segmentDouble(double) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Segment a double into a mantissa and exponent.
- segmenterClass - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- segmentMarkov - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- segmentString(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Have a word segmenter segment a String into a list of words.
- segmentString(String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- selectFeatures(int, double[]) - Method in class edu.stanford.nlp.classify.Dataset
-
Generic method to select features based on the feature scores vector provided as an argument.
- selectFeaturesBinaryInformationGain(int) - Method in class edu.stanford.nlp.classify.Dataset
-
- selectFeaturesFromSet(Set<F>) - Method in class edu.stanford.nlp.classify.RVFDataset
-
Removes all features from the dataset that are not in featureSet.
- selectivePostSplit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- selectivePostSplitCutOff - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- selectiveSplit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Only split the "common high KL divergence" parent categories....
- selectiveSplitCutOff - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- selfRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- selfTest - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- selfTrainConfidenceThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- selfTrainFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- selfTrainIterations - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- selfTrainWindowSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- SEMANTIC_DEPENDENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "semantic dependent" grammatical relation has been
introduced as a supertype for the controlling subject relation.
- SEMANTIC_DEPENDENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "semantic dependent" grammatical relation.
- SEMANTIC_DEPENDENT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "semantic dependent" grammatical relation has been
introduced as a supertype for the controlling subject relation.
- SemanticGraph - Class in edu.stanford.nlp.semgraph
-
Represents a semantic graph of a sentence or document, with IndexedWord
objects for nodes.
- SemanticGraph() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraph
-
- SemanticGraph(SemanticGraph) - Constructor for class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns a new SemanticGraph which is a copy of the supplied SemanticGraph.
- SemanticGraph(SemanticGraph, Map<IndexedWord, IndexedWord>) - Constructor for class edu.stanford.nlp.semgraph.SemanticGraph
-
Copies a the current graph, but also sets the mapping from the old to new
graph.
- SemanticGraph(Collection<TypedDependency>) - Constructor for class edu.stanford.nlp.semgraph.SemanticGraph
-
This is the constructor used by the parser.
- SemanticGraph.OutputFormat - Enum in edu.stanford.nlp.semgraph
-
- SemanticGraphCoreAnnotations - Class in edu.stanford.nlp.semgraph
-
This class collects CoreAnnotations that are used in working with a
SemanticGraph.
- SemanticGraphCoreAnnotations() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations
-
- SemanticGraphCoreAnnotations.AlternativeDependenciesAnnotation - Class in edu.stanford.nlp.semgraph
-
The CoreMap key for storing a semantic graph that was converted using a non-default converter.
- SemanticGraphCoreAnnotations.BasicDependenciesAnnotation - Class in edu.stanford.nlp.semgraph
-
The CoreMap key for getting the syntactic dependencies of a sentence.
- SemanticGraphCoreAnnotations.CollapsedCCProcessedDependenciesAnnotation - Class in edu.stanford.nlp.semgraph
-
- SemanticGraphCoreAnnotations.CollapsedDependenciesAnnotation - Class in edu.stanford.nlp.semgraph
-
- SemanticGraphCoreAnnotations.DependenciesType - Enum in edu.stanford.nlp.semgraph
-
An enum to represent the three types of dependencies generally supported
- SemanticGraphCoreAnnotations.EnhancedDependenciesAnnotation - Class in edu.stanford.nlp.semgraph
-
The CoreMap key for getting the syntactic dependencies of a sentence.
- SemanticGraphCoreAnnotations.EnhancedPlusPlusDependenciesAnnotation - Class in edu.stanford.nlp.semgraph
-
The CoreMap key for getting the syntactic dependencies of a sentence.
- SemanticGraphEdge - Class in edu.stanford.nlp.semgraph
-
Represents an edge in the dependency graph.
- SemanticGraphEdge(IndexedWord, IndexedWord, GrammaticalRelation, double, boolean) - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphEdge
-
- SemanticGraphEdge(SemanticGraphEdge) - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphEdge
-
- SemanticGraphFactory - Class in edu.stanford.nlp.semgraph
-
Refactoring of static makers of SemanticGraphs in order to simplify
the SemanticGraph class.
- SemanticGraphFactory.Mode - Enum in edu.stanford.nlp.semgraph
-
- SemanticGraphFormatter - Class in edu.stanford.nlp.semgraph
-
Defines a class for pretty-printing SemanticGraphs.
- SemanticGraphFormatter() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphFormatter
-
- SemanticGraphFormatter(int, int, boolean, boolean, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphFormatter
-
- SemanticHeadFinder - Class in edu.stanford.nlp.trees
-
Implements a 'semantic head' variant of the the English HeadFinder
found in Michael Collins' 1999 thesis.
- SemanticHeadFinder() - Constructor for class edu.stanford.nlp.trees.SemanticHeadFinder
-
- SemanticHeadFinder(boolean) - Constructor for class edu.stanford.nlp.trees.SemanticHeadFinder
-
- SemanticHeadFinder(TreebankLanguagePack, boolean) - Constructor for class edu.stanford.nlp.trees.SemanticHeadFinder
-
Create a SemanticHeadFinder.
- SemanticHeadTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SemanticHeadTagAnnotation
-
- SemanticHeadWordAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SemanticHeadWordAnnotation
-
- SemanticTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SemanticTagAnnotation
-
- SemanticWordAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SemanticWordAnnotation
-
- SemgrexMatcher - Class in edu.stanford.nlp.semgraph.semgrex
-
- SemgrexParseException - Exception in edu.stanford.nlp.semgraph.semgrex
-
A runtime exception that indicates something went wrong parsing a
semgrex expression.
- SemgrexParseException(String) - Constructor for exception edu.stanford.nlp.semgraph.semgrex.SemgrexParseException
-
- SemgrexParseException(String, Throwable) - Constructor for exception edu.stanford.nlp.semgraph.semgrex.SemgrexParseException
-
- SemgrexPattern - Class in edu.stanford.nlp.semgraph.semgrex
-
A SemgrexPattern is a pattern for matching node and edge configurations a dependency graph.
- SemgrexPattern.OutputFormat - Enum in edu.stanford.nlp.semgraph.semgrex
-
- SemiSupervisedLogConditionalObjectiveFunction - Class in edu.stanford.nlp.classify
-
Maximizes the conditional likelihood with a given prior.
- SemiSupervisedLogConditionalObjectiveFunction(AbstractCachingDiffFunction, AbstractCachingDiffFunction, LogPrior, double) - Constructor for class edu.stanford.nlp.classify.SemiSupervisedLogConditionalObjectiveFunction
-
- SemiSupervisedLogConditionalObjectiveFunction(AbstractCachingDiffFunction, AbstractCachingDiffFunction, LogPrior) - Constructor for class edu.stanford.nlp.classify.SemiSupervisedLogConditionalObjectiveFunction
-
- sent - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- SentenceBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SentenceBeginAnnotation
-
- sentenceData - Variable in class edu.stanford.nlp.pipeline.CoNLLUReader.CoNLLUSentence
-
- sentenceDelimiter - Variable in class edu.stanford.nlp.parser.nndep.Config
-
If non-null, when parsing raw text assume sentences have already
been split and are separated by the given delimiter.
- SentenceEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SentenceEndAnnotation
-
- sentenceFinalPunctuationTagAcceptFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns a filter that accepts a String that is a sentence end
punctuation tag, and rejects everything else.
- sentenceFinalPunctuationTagAcceptFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns a filter that accepts a String that is a sentence end
punctuation tag, and rejects everything else.
- sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns a String array of sentence final punctuation tags for this
treebank/language.
- sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
-
Returns a String array of sentence final punctuation tags for this
treebank/language.
- sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
-
Returns a String array of sentence final punctuation tags for this
treebank/language.
- sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
-
- sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
Returns a String array of sentence final punctuation tags for this
treebank/language.
- sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
Returns a String array of sentence final punctuation tags for this
treebank/language.
- sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
-
Returns a String array of sentence final punctuation tags for this
treebank/language.
- sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
-
Returns a String array of sentence final punctuation tags for this
treebank/language.
- sentenceFinalPunctuationTags() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns a String array of sentence final punctuation tags for this
treebank/language.
- sentenceFinalPunctuationWords() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
-
Returns a String array of sentence final punctuation words for this
treebank/language.
- sentenceFinalPunctuationWords() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
-
Returns a String array of sentence final punctuation words for this
treebank/language.
- sentenceFinalPunctuationWords() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
-
- sentenceFinalPunctuationWords() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
Returns a String array of sentence final punctuation words for this
treebank/language.
- sentenceFinalPunctuationWords() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
Returns a String array of sentence final punctuation words for this
treebank/language.
- sentenceFinalPunctuationWords() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
-
Returns a String array of sentence final punctuation words for this
treebank/language.
- sentenceFinalPunctuationWords() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
-
Returns a String array of sentence final punctuation words for this
treebank/language.
- sentenceFinalPunctuationWords() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns a String array of sentence final punctuation words for
this treebank/language.
- SentenceIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SentenceIDAnnotation
-
- SentenceIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SentenceIndexAnnotation
-
- SentencePositionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SentencePositionAnnotation
-
- sentences - Variable in class edu.stanford.nlp.pipeline.CoNLLUReader.CoNLLUDocument
-
sentences for this doc
- SentencesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SentencesAnnotation
-
- SentenceUtils - Class in edu.stanford.nlp.ling
-
SentenceUtils holds a couple utility methods for lists that are sentences.
- sentIndex() - Method in class edu.stanford.nlp.ling.CoreLabel
- sentIndex() - Method in interface edu.stanford.nlp.ling.HasIndex
-
- sentIndex() - Method in class edu.stanford.nlp.ling.IndexedWord
-
- separateASCIIandRange - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- separateLopExpertWeights(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
-
- separateLopExpertWeights2D(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
-
- separateLopScales(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
-
- separatePronouns(String) - Method in class edu.stanford.nlp.international.spanish.SpanishVerbStripper
-
Attempt to separate attached pronouns from the given verb.
- separateWeights(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
-
- separateWeights(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
-
- SEPARATOR - Static variable in class edu.stanford.nlp.parser.nndep.Config
-
For printing messages.
- SEPTEMBER - Static variable in class edu.stanford.nlp.time.SUTime
-
- SEQ_BEGIN_PATTERN_EXPR - Static variable in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- SEQ_END_PATTERN_EXPR - Static variable in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- SeqBackRef(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- SeqClassifierFlags - Class in edu.stanford.nlp.sequences
-
Flags for sequence classifiers.
- SeqClassifierFlags() - Constructor for class edu.stanford.nlp.sequences.SeqClassifierFlags
-
Create a new SeqClassifierFlags object initialized with default values.
- SeqClassifierFlags(Properties) - Constructor for class edu.stanford.nlp.sequences.SeqClassifierFlags
-
Create a new SeqClassifierFlags object and initialize it using values in
the Properties object.
- SeqClassifierFlags(Properties, boolean) - Constructor for class edu.stanford.nlp.sequences.SeqClassifierFlags
-
Create a new SeqClassifierFlags object and initialize it using values in
the Properties object.
- SeqClassifierFlags.SlashHyphenEnum - Enum in edu.stanford.nlp.sequences
-
- SeqRegex(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- SeqRegexBasic(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- SeqRegexDisj(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- SeqRegexDisjConj(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- SeqRegexGroup(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- SeqRegexRepeatTimes(Env, SequencePattern.PatternExpr) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- SeqRegexWithAction(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- sequence - Variable in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
-
- SequenceEndPatternExpr() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequenceEndPatternExpr
-
- SequenceGibbsSampler - Class in edu.stanford.nlp.sequences
-
A Gibbs sampler for sequence models.
- SequenceGibbsSampler(int, int, SequenceListener, List, boolean, int, int, List<List<Integer>>, int, EmpiricalNERPriorBIO, EmpiricalNERPriorBIO) - Constructor for class edu.stanford.nlp.sequences.SequenceGibbsSampler
-
- SequenceGibbsSampler(int, int, SequenceListener, List) - Constructor for class edu.stanford.nlp.sequences.SequenceGibbsSampler
-
- SequenceGibbsSampler(int, int, SequenceListener) - Constructor for class edu.stanford.nlp.sequences.SequenceGibbsSampler
-
- SequenceGibbsSampler(int, int, SequenceListener, int, int, List<List<Integer>>, int, EmpiricalNERPriorBIO, EmpiricalNERPriorBIO) - Constructor for class edu.stanford.nlp.sequences.SequenceGibbsSampler
-
- SequenceListener - Interface in edu.stanford.nlp.sequences
-
A class capable of listening to changes about a sequence,
represented as an array of type int.
- SequenceMatchAction<T> - Interface in edu.stanford.nlp.ling.tokensregex
-
Performs action on a sequence
- SequenceMatchAction.BoundAction<T> - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchAction.BranchAction<T> - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchAction.NextMatchAction<T> - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchAction.SeriesAction<T> - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchAction.StartMatchAction<T> - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchedExpressionExtractor(MatchedExpression.SingleAnnotationExtractor, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequenceMatchedExpressionExtractor
-
- SequenceMatcher<T> - Class in edu.stanford.nlp.ling.tokensregex
-
A generic sequence matcher.
- SequenceMatcher(SequencePattern<T>, List<? extends T>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
- SequenceMatcher.BasicMatchReplacement<T> - Class in edu.stanford.nlp.ling.tokensregex
-
Replacement item is a sequence of items.
- SequenceMatcher.FindType - Enum in edu.stanford.nlp.ling.tokensregex
-
Type of search to perform
FIND_NONOVERLAPPING - Find nonoverlapping matches (default)
FIND_ALL - Find all potential matches
Greedy/reluctant quantifiers are not enforced
(perhaps should add syntax where some of them are enforced...)
- SequenceMatcher.GroupMatchReplacement<T> - Class in edu.stanford.nlp.ling.tokensregex
-
Replacement item is a matched group specified with a group id.
- SequenceMatcher.MatchReplacement<T> - Interface in edu.stanford.nlp.ling.tokensregex
-
Interface that specifies what to replace a matched pattern with.
- SequenceMatcher.NamedGroupMatchReplacement<T> - Class in edu.stanford.nlp.ling.tokensregex
-
Replacement item is a matched group specified with a group name.
- SequenceMatchResult<T> - Interface in edu.stanford.nlp.ling.tokensregex
-
The result of a match against a sequence.
- SequenceMatchResult.GroupToIntervalFunc<MR extends MatchResult> - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchResult.MatchedGroupInfo<T> - Class in edu.stanford.nlp.ling.tokensregex
-
Information about a matched group.
- sequenceMatchResultExtractor - Variable in class edu.stanford.nlp.ling.tokensregex.Env
-
- SequenceMatchResultExtractor(Env, Expression, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequenceMatchResultExtractor
-
- SequenceMatchResultExtractor(Env, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequenceMatchResultExtractor
-
- SequenceMatchRules - Class in edu.stanford.nlp.ling.tokensregex
-
Rules for matching sequences using regular expressions.
- SequenceMatchRules.AnnotationExtractRule<S,T extends MatchedExpression> - Class in edu.stanford.nlp.ling.tokensregex
-
Rule that specifies how to extract sequence of MatchedExpression from an annotation (CoreMap).
- SequenceMatchRules.AnnotationExtractRuleCreator - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchRules.AnnotationMatchedFilter - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchRules.AssignmentRule - Class in edu.stanford.nlp.ling.tokensregex
-
Rule that specifies what value to assign to a variable.
- SequenceMatchRules.BasicSequenceExtractRule - Class in edu.stanford.nlp.ling.tokensregex
-
Extraction rule.
- SequenceMatchRules.CompositeExtractRuleCreator - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchRules.CoreMapExtractRule<T,O> - Class in edu.stanford.nlp.ling.tokensregex
-
Extraction rule to apply a extraction rule on a particular CoreMap field.
- SequenceMatchRules.CoreMapFunctionApplier<T,O> - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchRules.CoreMapToListExtractRule<O> - Class in edu.stanford.nlp.ling.tokensregex
-
Extraction rule that treats a single CoreMap as a list/sequence of CoreMaps.
- SequenceMatchRules.CoreMapToListFunctionApplier<O> - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchRules.ExtractRule<I,O> - Interface in edu.stanford.nlp.ling.tokensregex
-
Interface for a rule that extracts a list of matched items from an input.
- SequenceMatchRules.FilterExtractRule<I,O> - Class in edu.stanford.nlp.ling.tokensregex
-
Extraction rule that filters the input before passing it on to the next extractor.
- SequenceMatchRules.ListExtractRule<I,O> - Class in edu.stanford.nlp.ling.tokensregex
-
Extraction rule that applies a list of rules in sequence and aggregates
all matches found.
- SequenceMatchRules.MultiSequencePatternExtractRule<T,O> - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchRules.MultiTokenPatternExtractRuleCreator - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchRules.Rule - Interface in edu.stanford.nlp.ling.tokensregex
-
A sequence match rule.
- SequenceMatchRules.SequenceMatchedExpressionExtractor - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchRules.SequenceMatchResultExtractor<T> - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchRules.SequencePatternExtractRule<T,O> - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchRules.StringMatchedExpressionExtractor - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchRules.StringMatchResultExtractor - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchRules.StringPatternExtractRule<O> - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchRules.TextPatternExtractRuleCreator - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchRules.TokenPatternExtractRuleCreator - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceModel - Interface in edu.stanford.nlp.sequences
-
Interface for scoring the labeling of sequences of a fixed length.
- SequencePattern<T> - Class in edu.stanford.nlp.ling.tokensregex
-
Generic Sequence Pattern for regular expressions.
- SequencePattern(SequencePattern.PatternExpr) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- SequencePattern(String, SequencePattern.PatternExpr) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- SequencePattern(String, SequencePattern.PatternExpr, SequenceMatchAction<T>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- SequencePattern.AndPatternExpr - Class in edu.stanford.nlp.ling.tokensregex
-
- SequencePattern.BackRefPatternExpr - Class in edu.stanford.nlp.ling.tokensregex
-
- SequencePattern.GroupPatternExpr - Class in edu.stanford.nlp.ling.tokensregex
-
Expression that represents a group.
- SequencePattern.MultiNodePatternExpr - Class in edu.stanford.nlp.ling.tokensregex
-
Represents a pattern that can match multiple nodes.
- SequencePattern.NodePatternExpr - Class in edu.stanford.nlp.ling.tokensregex
-
Represents one element to be matched.
- SequencePattern.NodesMatchChecker<T> - Interface in edu.stanford.nlp.ling.tokensregex
-
- SequencePattern.OrPatternExpr - Class in edu.stanford.nlp.ling.tokensregex
-
Expression that represents a disjunction.
- SequencePattern.Parser<T> - Interface in edu.stanford.nlp.ling.tokensregex
-
- SequencePattern.PatternExpr - Class in edu.stanford.nlp.ling.tokensregex
-
Represents a sequence pattern expressions (before translating into NFA).
- SequencePattern.RepeatPatternExpr - Class in edu.stanford.nlp.ling.tokensregex
-
Expression that represents a pattern that repeats for a number of times.
- SequencePattern.SequenceEndPatternExpr - Class in edu.stanford.nlp.ling.tokensregex
-
- SequencePattern.SequencePatternExpr - Class in edu.stanford.nlp.ling.tokensregex
-
Represents a sequence of patterns to be matched.
- SequencePattern.SequenceStartPatternExpr - Class in edu.stanford.nlp.ling.tokensregex
-
- SequencePattern.SpecialNodePatternExpr - Class in edu.stanford.nlp.ling.tokensregex
-
Represents one element to be matched.
- SequencePattern.ValuePatternExpr - Class in edu.stanford.nlp.ling.tokensregex
-
- SequencePatternExpr(List<SequencePattern.PatternExpr>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequencePatternExpr
-
- SequencePatternExpr(SequencePattern.PatternExpr...) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequencePatternExpr
-
- SequencePatternExtractRule(Env, String, Function<SequenceMatchResult<T>, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequencePatternExtractRule
-
- SequencePatternExtractRule(SequencePattern<T>, Function<SequenceMatchResult<T>, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequencePatternExtractRule
-
- SequencePatternExtractRule(SequencePattern<T>, Function<SequenceMatchResult<T>, O>, SequenceMatcher.FindType, boolean) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequencePatternExtractRule
-
- SequenceRegexPattern(SequencePattern<T>) - Constructor for class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.SequenceRegexPattern
-
- SequenceSampler - Class in edu.stanford.nlp.sequences
-
This class will sample an output from a sequence model.
- SequenceSampler() - Constructor for class edu.stanford.nlp.sequences.SequenceSampler
-
- SequenceStartPatternExpr() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequenceStartPatternExpr
-
- SeqVar(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- SerializableFunction<T1,T2> - Interface in edu.stanford.nlp.process
-
This interface is a conjunction of Function and Serializable, which is
a bad idea from the perspective of the type system, but one that seems
more palatable than other bad ideas until java's type system is flexible
enough to support type conjunctions.
- serializeClassifier(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Serialize a sequence classifier to a file on the given path.
- serializeClassifier(ObjectOutputStream) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Serialize a sequence classifier to an object output stream
- serializeClassifier(String) - Method in class edu.stanford.nlp.ie.ClassifierCombiner
-
- serializeClassifier(ObjectOutputStream) - Method in class edu.stanford.nlp.ie.ClassifierCombiner
-
- serializeClassifier(String) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Serialize a sequence classifier to a file on the given path.
- serializeClassifier(ObjectOutputStream) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Serialize the classifier to the given ObjectOutputStream.
- serializeClassifier(ObjectOutputStream) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierNonlinear
-
- serializeClassifier(String) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- serializeClassifier(ObjectOutputStream) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- serializeClassifier(ObjectOutputStream) - Method in class edu.stanford.nlp.ie.NERClassifierCombiner
-
- serializeClassifier(String) - Method in class edu.stanford.nlp.ie.PresetSequenceClassifier
-
Serialize a sequence classifier to a file on the given path.
- serializeClassifier(ObjectOutputStream) - Method in class edu.stanford.nlp.ie.PresetSequenceClassifier
-
Serialize a sequence classifier to an object output stream
- serializeClassifier(String) - Method in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- serializeClassifier(ObjectOutputStream) - Method in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- serializeClassifier(String) - Method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
-
- serializeClassifier(ObjectOutputStream) - Method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
-
- serializeClassIndex(String) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- serializeClassIndexTo - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- serializeCounter(Counter<T>, String) - Static method in class edu.stanford.nlp.stats.Counters
-
- serializeDatasetsDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- serializedDictionary - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- serializeFeatureIndex(String) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- serializeFeatureIndexTo - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- serializeStringCounter(Counter<String>, String, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Serialize a counter into an efficient string TSV
- serializeStringCounter(Counter<String>, String) - Static method in class edu.stanford.nlp.stats.Counters
-
- serializeTextClassifier(PrintWriter) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- serializeTextClassifier(String) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Serialize the model to a human readable format.
- serializeTextClassifier(PrintWriter) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierNonlinear
-
- serializeTo - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- serializeToCH - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- serializeToEN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- serializeToText - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- serializeWeights(String) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- serializeWeights(String, double[]) - Static method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
-
- serializeWeights(String, double[], double[]) - Static method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
-
- serializeWeightsTo - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- SeriesAction(SequenceMatchAction<T>...) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.SeriesAction
-
- SeriesAction(List<SequenceMatchAction<T>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.SeriesAction
-
- set(Class<? extends TypesafeMap.Key<VALUE>>, VALUE) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- set(String, Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
-
- set(double, double) - Method in class edu.stanford.nlp.math.DoubleAD
-
- set(T1) - Method in interface edu.stanford.nlp.optimization.StochasticMinimizer.PropertySetter
-
- set(int, int, int) - Method in class edu.stanford.nlp.tagger.maxent.History
-
- set(int, Tree) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
- set(Class<? extends TypesafeMap.Key<VALUE>>, VALUE) - Method in class edu.stanford.nlp.util.ArrayCoreMap
-
Associates the given value with the given type for future calls
to get.
- set(Class<? extends TypesafeMap.Key<VALUE>>, VALUE) - Method in class edu.stanford.nlp.util.HashableCoreMap
-
Sets the value associated with the given key; if the the key is one
of the hashable keys, throws an exception.
- set(int, int) - Method in class edu.stanford.nlp.util.IntTuple
-
- set(double) - Method in class edu.stanford.nlp.util.MutableDouble
-
- set(int) - Method in class edu.stanford.nlp.util.MutableInteger
-
- set(Class<? extends TypesafeMap.Key<VALUE>>, VALUE) - Method in interface edu.stanford.nlp.util.TypesafeMap
-
Associates the given value with the given type for future calls
to get.
- SET_ANNOTATION_TAG_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- SET_VALUE_TAG_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- setAccepting(boolean) - Method in class edu.stanford.nlp.fsm.DFSAState
-
- setAction(SequenceMatchAction<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- setAfter(String) - Method in class edu.stanford.nlp.ling.CoreLabel
-
Set the whitespace String after the word.
- setAfter(String) - Method in interface edu.stanford.nlp.ling.HasContext
-
Set the whitespace String after the word.
- setAfter(String) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- setAltTag(String) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
-
- setAmbClasses(AmbiguityClasses, int, TTags) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
-
This makes ambiguity classes from all words in the dictionary and remembers
their classes in the TagCounts
- setAttribute(String, String) - Method in class edu.stanford.nlp.semgraph.semgrex.NodeAttributes
-
- SetAttrValue(Env, Map<String, String>) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- SetAttrValues(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- setBatchSize(int) - Method in class edu.stanford.nlp.optimization.InefficientSGDMinimizer
-
- setBatchSize(int) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
-
- setBatchSize(int) - Method in class edu.stanford.nlp.optimization.SMDMinimizer
-
- setBefore(String) - Method in class edu.stanford.nlp.ling.CoreLabel
-
Set the whitespace String before the word.
- setBefore(String) - Method in interface edu.stanford.nlp.ling.HasContext
-
Set the whitespace String before the word.
- setBefore(String) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- setBeginPosition(int) - Method in class edu.stanford.nlp.ling.CoreLabel
-
Set the beginning character offset for the label.
- setBeginPosition(int) - Method in interface edu.stanford.nlp.ling.HasOffset
-
Set the beginning character offset for the label.
- setBeginPosition(int) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- setBeginPosition(int) - Method in class edu.stanford.nlp.ling.StringLabel
-
- setBiasWeight(String, double) - Method in class edu.stanford.nlp.ie.crf.CRFBiasedClassifier
-
- setBiasWeight(int, double) - Method in class edu.stanford.nlp.ie.crf.CRFBiasedClassifier
-
- setBinary() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
- setBranchLimit(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
- setC(double) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
Set the C parameter (for the slack variables) for training the SVM.
- setCapacity(int) - Method in class edu.stanford.nlp.util.ArrayCoreMap
-
- setCategory(String) - Method in class edu.stanford.nlp.ling.CategoryWordTag
-
- setCategory(String) - Method in class edu.stanford.nlp.ling.CoreLabel
-
Set the category value for the label (if one is stored).
- setCategory(String) - Method in interface edu.stanford.nlp.ling.HasCategory
-
Set the category value for the label (if one is stored).
- setCategoryWordTag(String, String, String) - Method in class edu.stanford.nlp.ling.CategoryWordTag
-
- setChild(SemgrexPattern) - Method in class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
-
- setChild(SemgrexPattern) - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
-
- setChild(int, Tree) - Method in class edu.stanford.nlp.trees.Tree
-
Replaces the i
th child of this
with the tree t.
- setChild(int, Tree) - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
- setChild(TregexPattern) - Method in class edu.stanford.nlp.trees.tregex.DescriptionPattern
-
- setChildren(Tree[]) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
-
Sets the children of this Tree
.
- setChildren(Tree[]) - Method in class edu.stanford.nlp.trees.SimpleTree
-
Sets the children of this Tree
.
- setChildren(Tree[]) - Method in class edu.stanford.nlp.trees.Tree
-
Set the children of this node to be the children given in the
array.
- setChildren(List<? extends Tree>) - Method in class edu.stanford.nlp.trees.Tree
-
Set the children of this tree node to the given list.
- setChildren(Tree[]) - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Sets the children of this TreeGraphNode
.
- setChildren(List<? extends Tree>) - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Set the children of this tree node to the given list.
- setClosedClassTags(String[]) - Method in class edu.stanford.nlp.tagger.maxent.TTags
-
- setColorChannels(boolean) - Method in class edu.stanford.nlp.util.logging.OutputHandler
-
- setCopyCount(int) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- setCorrectTags(List<? extends HasTag>) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- setCount(E, double) - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Sets the count for the given key to be the given value.
- setCount(E, double) - Method in interface edu.stanford.nlp.stats.Counter
-
Sets the count for the given key to be the given value.
- setCount(E, int) - Method in class edu.stanford.nlp.stats.IntCounter
-
Sets the current count for the given key.
- setCount(E, String) - Method in class edu.stanford.nlp.stats.IntCounter
-
- setCount(E, double) - Method in class edu.stanford.nlp.stats.IntCounter
-
- setCount(K1, K2, double) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- setCount(K1, K2, double) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- setCount(K1, K2, double) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- setCount(K1, K2, int) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- setCounter(K1, Counter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
replace the counter for K1-index o by new counter c
- setCounter(K1, IntCounter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
replace the counter for K1-index o by new counter c
- setCounts(Collection<E>, int) - Method in class edu.stanford.nlp.stats.IntCounter
-
Sets the current count for each of the given keys.
- setDate(int, int, int) - Method in class edu.stanford.nlp.time.SUTime.IsoDate
-
- setDay(int) - Method in class edu.stanford.nlp.time.SUTime.IsoDate
-
- setDefaultNegTag(String) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
-
- setDefaultNestedResultsAnnotationKey(Class) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- setDefaultPosTag(String) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
-
- setDefaultResultAnnotationKey(Class...) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- setDefaultResultAnnotationKey(List<Class>) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- setDefaultResultsAnnotationExtractor(Function<MatchedExpression, ?>) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- setDefaultReturnValue(double) - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Sets the default return value.
- setDefaultReturnValue(double) - Method in interface edu.stanford.nlp.stats.Counter
-
Sets the default return value.
- setDefaultReturnValue(double) - Method in class edu.stanford.nlp.stats.IntCounter
-
- setDefaultReturnValue(int) - Method in class edu.stanford.nlp.stats.IntCounter
-
- setDefaults(Map<String, Object>) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- setDefaultStringMatchFlags(int) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- setDefaultStringPatternFlags(int) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- setDefaultTextAnnotationKey(Class) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- setDefaultTokensAggregators(Map<Class, CoreMapAttributeAggregator>) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- setDefaultTokensAnnotationKey(Class) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- setDefaultTokensResultAnnotationKey(Class...) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- setDefaultTokensResultAnnotationKey(List<Class>) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- setDeleteTempFilesOnExitFlag(boolean) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
- setDelimPadSize(int) - Method in class edu.stanford.nlp.util.ConfusionMatrix
-
Sets the width used to separate cells in the table.
- setDep(IndexedWord) - Method in class edu.stanford.nlp.trees.TypedDependency
-
- setDocID(String) - Method in class edu.stanford.nlp.ling.CoreLabel
- setDocID(String) - Method in interface edu.stanford.nlp.ling.HasIndex
-
- setDocID(String) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- setDomain(String) - Method in class edu.stanford.nlp.ie.NERFeatureFactory.FeatureCollector
-
Additional suffix domain.
- setDoSelectiveSplit(boolean) - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
-
- setDoSelectiveSplit(boolean) - Method in class edu.stanford.nlp.parser.lexparser.TreeBinarizer
-
If this is set to true, then the binarizer will choose selectively whether or not to
split states based on how many counts the states had in a previous run.
- setdot(double) - Method in class edu.stanford.nlp.math.DoubleAD
-
- setEdge(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraLabel
-
- setElementDelimiter(String) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
-
Only read text from inside these XML elements if in XML mode.
- setEmpty(boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.NodeAttributes
-
- setEnd(int) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
-
- setEnd(int) - Method in class edu.stanford.nlp.trees.Constituent
-
set end node.
- setEnd(int) - Method in class edu.stanford.nlp.trees.SimpleConstituent
-
set end node.
- setEndPosition(int) - Method in class edu.stanford.nlp.ling.CoreLabel
-
Set the ending character offset of the label (or -1 if none).
- setEndPosition(int) - Method in interface edu.stanford.nlp.ling.HasOffset
-
Set the ending character offset of the label (or -1 if none).
- setEndPosition(int) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- setEndPosition(int) - Method in class edu.stanford.nlp.ling.StringLabel
-
- setEnv(Env) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
Recursively sets the env variable to this pattern in this and in all its children
- setEolString(String) - Method in class edu.stanford.nlp.process.TokenizerAdapter
-
Set the String
returned when the inner tokenizer
returns an end-of-line token.
- setEpsilon(double) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
- setEpsilon(double) - Method in class edu.stanford.nlp.classify.LogPrior
-
- setError() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- setEscaper(Function<List<HasWord>, List<HasWord>>) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
-
Set an escaper.
- setEvalCmd(String) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierEvaluator
-
Set the evaluation command (set to null to skip evaluation using command line)
- setEvalGF(boolean) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
- setEvaluateGrammaticalFunctions(boolean) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Sets whether to consider grammatical functions in evaluation
- setEvaluateGrammaticalFunctions(boolean) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
If evalGFs = true, then the evaluation of parse trees will include evaluation on grammatical functions.
- setEvaluators(int, Evaluator[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
- setEvaluators(int, Evaluator[]) - Method in interface edu.stanford.nlp.optimization.HasEvaluators
-
- setEvaluators(int, Evaluator[]) - Method in class edu.stanford.nlp.optimization.HybridMinimizer
-
- setEvaluators(int, Evaluator[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- setEvaluators(int, int, Evaluator[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- setEvaluators(int, Evaluator[]) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
-
- setEvaluators(int, Evaluator[]) - Method in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
-
- setEvaluators(int, Evaluator[]) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- setExtra() - Method in class edu.stanford.nlp.trees.TypedDependency
-
- setExtractRules(SequenceMatchRules.ExtractRule<CoreMap, T>, SequenceMatchRules.ExtractRule<List<? extends CoreMap>, T>, Predicate<T>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
-
- setFeatureGrouping(int[][]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- setFeatureValue(String, String) - Method in class edu.stanford.nlp.trees.international.negra.NegraLabel
-
- setField(Partial, DateTimeFieldType, int) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- setFindType(SequenceMatcher.FindType) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
- setFirst(T1) - Method in class edu.stanford.nlp.util.Pair
-
- setFirst(T1) - Method in class edu.stanford.nlp.util.Quadruple
-
- setFirst(T1) - Method in class edu.stanford.nlp.util.Triple
-
- setFolds(int) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
- setFourth(T4) - Method in class edu.stanford.nlp.util.Quadruple
-
- setFromString(String) - Method in class edu.stanford.nlp.ling.CategoryWordTag
-
Set everything by reversing a toString operation.
- setFromString(String) - Method in class edu.stanford.nlp.ling.CoreLabel
-
Set the contents of this label to this String
representing the
complete contents of the label.
- setFromString(String) - Method in class edu.stanford.nlp.ling.IndexedWord
-
Set the contents of this label to this String
representing the
complete contents of the label.
- setFromString(String) - Method in interface edu.stanford.nlp.ling.Label
-
Set the contents of this label to this String
representing the
complete contents of the label.
- setFromString(String) - Method in class edu.stanford.nlp.ling.StringLabel
-
Set the label from a String.
- setFromString(String) - Method in class edu.stanford.nlp.ling.TaggedWord
-
Sets a TaggedWord from decoding
the String
passed in.
- setFromString(String, String) - Method in class edu.stanford.nlp.ling.TaggedWord
-
- setFromString(String) - Method in class edu.stanford.nlp.ling.ValueLabel
-
- setFromString(String) - Method in class edu.stanford.nlp.ling.WordLemmaTag
-
The String is divided according to the divider character (usually, "/").
- setFromString(String, String) - Method in class edu.stanford.nlp.ling.WordLemmaTag
-
- setFromString(String) - Method in class edu.stanford.nlp.ling.WordTag
-
Sets a WordTag from decoding
the String
passed in.
- setFromString(String, String) - Method in class edu.stanford.nlp.ling.WordTag
-
- setFromString(String) - Method in class edu.stanford.nlp.trees.Constituent
-
Make a new label with this String
as the "name", perhaps
by doing some appropriate decoding of the string.
- setFromString(String) - Method in class edu.stanford.nlp.trees.LabeledConstituent
-
- setFromString(String) - Method in class edu.stanford.nlp.trees.Tree
-
- setGenerateOriginalDependencies(boolean) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
For languages that have implementations of the
original Stanford dependencies and Universal
dependencies, this parameter is used to decide which
implementation should be used.
- setGenerateOriginalDependencies(boolean) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
Set whether to generate original Stanford Dependencies or the newer
Universal Dependencies.
- setGenerateOriginalDependencies(boolean) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
- setGenerateOriginalDependencies(boolean) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Used for languages where an original Stanford Dependency
converter and a Universal Dependency converter exists.
- setGfCharacter(char) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
- setGfCharacter(char) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Sets the grammatical function indicating character to gfCharacter.
- setGlobal(Interner<Object>) - Static method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
-
For supplying a new instance for the global methods to use.
- setGlobal(Interner<Object>) - Static method in class edu.stanford.nlp.util.Interner
-
For supplying a new instance for the global methods to use.
- setGlobalHolder(MaxentTagger) - Method in class edu.stanford.nlp.tagger.maxent.DictionaryExtractor
-
Any subclass of this extractor that overrides setGlobalHolder
should call this class's setGlobalHolder as well...
- setGlobalHolder(MaxentTagger) - Method in class edu.stanford.nlp.tagger.maxent.Extractor
-
Subclasses should override this method and keep only the data
they want about the tagger.
- setGlobalHolder(MaxentTagger) - Method in class edu.stanford.nlp.tagger.maxent.Extractors
-
- setGov(IndexedWord) - Method in class edu.stanford.nlp.trees.TypedDependency
-
- setGreedyMatch(boolean) - Method in class edu.stanford.nlp.ling.tokensregex.MultiNodePattern
-
- setHeadFinder(HeadFinder) - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
-
- setHeldOutPercent(double) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
- setHeldOutSearcher(LineSearcher) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
- setHessSampleSize(int) - Method in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
-
- setHistory(List<double[]>, List<double[]>) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- setID(String) - Method in class edu.stanford.nlp.ling.RVFDatum
-
Sets id for this instance
- setIgnoreProvidedTag(boolean) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
-
- setIncludeNested(boolean) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- setIndex(int) - Method in class edu.stanford.nlp.ling.CoreLabel
- setIndex(int) - Method in interface edu.stanford.nlp.ling.HasIndex
-
- setIndex(int) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- setIndex(int) - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Set the index for the current node.
- setInitialSequence(int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
Informs this sequence model that the value of the whole sequence is
initialized to sequence
- setInitialSequence(int[]) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
-
- setInitialSequence(int[]) - Method in class edu.stanford.nlp.sequences.FactoredSequenceListener
-
Informs this sequence model that the value of the whole sequence is initialized to sequence
- setInitialSequence(int[]) - Method in interface edu.stanford.nlp.sequences.SequenceListener
-
Informs this sequence listener that the value of the whole sequence is initialized to sequence.
- setInitialState(DFSAState<T, S>) - Method in class edu.stanford.nlp.fsm.DFSA
-
- setInputEncoding(String) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Sets the input encoding.
- setInputEncoding(String) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
- setInsertNPinPP(boolean) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
-
- setIsExtra(boolean) - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
-
- setIsMWT(boolean) - Method in class edu.stanford.nlp.ling.CoreLabel
-
Set value of IsMultiWordToken
- setIsMWTFirst(boolean) - Method in class edu.stanford.nlp.ling.CoreLabel
-
Set value of IsFirstWordOfMWT
- setIsNewline(boolean) - Method in class edu.stanford.nlp.ling.CoreLabel
-
Set value of IsNewlineAnnotation
- setIterationCallbackFunction(CallbackFunction) - Method in class edu.stanford.nlp.optimization.CGMinimizer
-
- setIterationCallbackFunction(CallbackFunction) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- setKeepEmptySentences(boolean) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
-
Set whether or not the tokenizer keeps empty sentences in
whitespace mode.
- setLabel(LabelType) - Method in class edu.stanford.nlp.ling.BasicDatum
-
Removes all currently assigned Labels for this Datum then adds the
given Label.
- setLabel(L) - Method in class edu.stanford.nlp.ling.RVFDatum
-
Removes all currently assigned Labels for this Datum then adds the given
Label.
- setLabel(Label) - Method in class edu.stanford.nlp.trees.Constituent
-
Sets the label associated with the current Constituent,
if there is one.
- setLabel(Label) - Method in interface edu.stanford.nlp.trees.Labeled
-
Sets the label associated with this object.
- setLabel(Label) - Method in class edu.stanford.nlp.trees.LabeledConstituent
-
- setLabel(Label) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
-
Sets the label associated with the current node, if there is one.
- setLabel(Label) - Method in class edu.stanford.nlp.trees.Tree
-
Sets the label associated with the current node, if there is one.
- setLabel(Label) - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
- setLabel(CoreLabel) - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Sets the label associated with the current node.
- setLabelIndex(Index<L>) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- setLabels(Collection<LabelType>) - Method in class edu.stanford.nlp.ling.BasicDatum
-
Removes all currently assigned labels for this Datum then adds all
of the given Labels.
- setLabels(Collection<Label>) - Method in class edu.stanford.nlp.trees.Constituent
-
- setLabels(Collection<Label>) - Method in interface edu.stanford.nlp.trees.Labeled
-
Sets the labels associated with this object.
- setLabels(Collection<Label>) - Method in class edu.stanford.nlp.trees.Tree
-
- setLeafLabels(Tree, List<Label>) - Static method in class edu.stanford.nlp.trees.Trees
-
Replace the labels of the leaves with the given leaves.
- setLeafTagsIfUnset(Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
Given a tree, set the tags on the leaf nodes if they are not
already set.
- setLearnClosedTags(boolean) - Method in class edu.stanford.nlp.tagger.maxent.TTags
-
- setLeaveGF(boolean) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
- setLeftPadSize(int) - Method in class edu.stanford.nlp.util.ConfusionMatrix
-
This sets the lefthand side pad width for displaying the text table.
- setLemma(String) - Method in class edu.stanford.nlp.ling.CoreLabel
-
Set the lemma value for the label (if one is stored).
- setLemma(String) - Method in interface edu.stanford.nlp.ling.HasLemma
-
Set the lemma value for the label (if one is stored).
- setLemma(String) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- setLemma(String) - Method in class edu.stanford.nlp.ling.WordLemmaTag
-
- setLex(Lexicon) - Method in class edu.stanford.nlp.parser.lexparser.ChineseSimWordAvgDepGrammar
-
- setLexicon(Lexicon) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- setLexicon(Lexicon) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
-
Set the Lexicon, which the DependencyGrammar may use in scoring P(w|t).
- setM(int) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- setM(int) - Method in class edu.stanford.nlp.optimization.SQNMinimizer
-
- setMap(Map<K1, V1>) - Method in class edu.stanford.nlp.util.MapFactory
-
A method to get a parameterized (genericized) map out.
- setMap(Map<K1, V1>, int) - Method in class edu.stanford.nlp.util.MapFactory
-
- setMatchType(MultiWordStringMatcher.MatchType) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
- setMatchWithResult(boolean) - Method in class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher
-
- setMatchWithResult(boolean) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
- setMaxNodes(int) - Method in class edu.stanford.nlp.ling.tokensregex.MultiNodePattern
-
- setMaxSize(int) - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
- setMaxTime(Long) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
-
- setMaxY(int[]) - Method in class edu.stanford.nlp.maxent.Experiments
-
- setMem(int) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
- setMinimizerCreator(Factory<Minimizer<DiffFunction>>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
Sets the minimizer.
- setMinNodes(int) - Method in class edu.stanford.nlp.ling.tokensregex.MultiNodePattern
-
- setMonth(int) - Method in class edu.stanford.nlp.time.SUTime.IsoDate
-
- setNegLabel(String) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
-
- setNER(String) - Method in class edu.stanford.nlp.ling.CoreLabel
-
Set the named entity class of the label.
- setNER(String) - Method in interface edu.stanford.nlp.ling.HasNER
-
Set the named entity class of the label.
- setNER(String) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- setNonBinary() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
- setNormalizationCacheSize(int) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- setObject(T) - Method in class edu.stanford.nlp.util.ScoredObject
-
- setOldOptions() - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- setOpenClassTags(String[]) - Method in class edu.stanford.nlp.tagger.maxent.TTags
-
- setOption(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.Options
-
Set an option based on a String array in the style of
commandline flags.
- setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Set language-specific options according to flags.
- setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
-
Some options for setOptionFlag:
- setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Set language-specific options according to flags.
- setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
Set language-specific options according to flags.
- setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
-
- setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
-
Set language-specific options according to flags.
- setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.Options
-
Set an option in this object, based on a String array in the style of
commandline flags.
- setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
-
Set language-specific options according to flags.
- setOptionFlag(String[], int) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
Set a language-specific option according to command-line flags.
- setOptionFlags(String...) - Method in interface edu.stanford.nlp.parser.ViterbiParserWithOptions
-
This will set options to a parser, in a way generally equivalent to
passing in the same sequence of command-line arguments.
- setOptionOrWarn(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.Options
-
Set an option based on a String array in the style of
commandline flags.
- setOptions(String) - Method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer.ArabicTokenizerFactory
-
options: A comma-separated list of options
- setOptions(String) - Method in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
-
Set underlying tokenizer options.
- setOptions(String) - Method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
-
Set underlying tokenizer options.
- setOptions(String...) - Method in class edu.stanford.nlp.parser.lexparser.Options
-
Set options based on a String array in the style of
commandline flags.
- setOptions(String[], int, int) - Method in class edu.stanford.nlp.parser.lexparser.Options
-
Set options based on a String array in the style of
commandline flags.
- setOptions(String) - Method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
-
- setOptions(String) - Method in interface edu.stanford.nlp.process.TokenizerFactory
-
Sets default options for how tokenizers built from this factory should behave.
- setOptions(String) - Method in class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
-
- setOptions(String) - Method in class edu.stanford.nlp.trees.TreeTokenizerFactory
-
- setOptionsOrWarn(String...) - Method in class edu.stanford.nlp.parser.lexparser.Options
-
Set options based on a String array in the style of
commandline flags.
- setOptionsOrWarn(String[], int, int) - Method in class edu.stanford.nlp.parser.lexparser.Options
-
Set options based on a String array in the style of
commandline flags.
- setOrder(int) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- setOriginalText(String) - Method in class edu.stanford.nlp.ling.CoreLabel
-
Set the String which is the original character sequence of the token.
- setOriginalText(String) - Method in interface edu.stanford.nlp.ling.HasContext
-
Set the String which is the original character sequence of the token.
- setOriginalText(String) - Method in interface edu.stanford.nlp.ling.HasOriginalText
-
- setOriginalText(String) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- setOutputEncoding(String) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Sets the output encoding.
- setOutputEncoding(String) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
- setParent(TreeGraphNode) - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Set the parent for the current node.
- setPlatt(LinearClassifier<L, L>) - Method in class edu.stanford.nlp.classify.SVMLightClassifier
-
- setPrior(LogPrior) - Method in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
-
- setPrior(LogPrior) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
Set the prior.
- setPrior(LogPrior) - Method in class edu.stanford.nlp.classify.SemiSupervisedLogConditionalObjectiveFunction
-
- setPriority(double) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- setProperties(Properties) - Method in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
Initialize this object using values in Properties object.
- setProperties(Properties, boolean) - Method in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
Initialize using values in Properties file.
- setProperties(Properties) - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- setPseudoPosition(double) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- setRelation(GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
-
- setReln(GrammaticalRelation) - Method in class edu.stanford.nlp.trees.TypedDependency
-
- setRetrainFromScratchAfterSigmaTuning(boolean) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
If set to true, then when training a classifier, after an optimal sigma is chosen a model is relearned from
scratch.
- setRobustOptions() - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- setRoot(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- setRoot(boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.NodeAttributes
-
- setRoot(TsurgeonPatternRoot) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonPattern
-
- setRoots(Collection<IndexedWord>) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- Sets - Class in edu.stanford.nlp.util
-
Utilities for sets.
- setScore(double) - Method in class edu.stanford.nlp.fsm.DFSA
-
- setScore(double) - Method in class edu.stanford.nlp.fsm.DFSAState
-
- setScore(double) - Method in class edu.stanford.nlp.trees.Constituent
-
Sets the score associated with the current node, if there is one
- setScore(double) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
-
Sets the score associated with the current node, if there is one
- setScore(double) - Method in class edu.stanford.nlp.trees.Tree
-
Sets the score associated with the current node, if there is one.
- setScore(double) - Method in class edu.stanford.nlp.util.ScoredObject
-
- setScorer(Scorer<L>) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
- setSecond(T2) - Method in class edu.stanford.nlp.util.Pair
-
- setSecond(T2) - Method in class edu.stanford.nlp.util.Quadruple
-
- setSecond(T2) - Method in class edu.stanford.nlp.util.Triple
-
- setSentenceDelimiter(String) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
-
Make the processor assume that the document is already delimited
by the supplied parameter.
- setSentenceFinalPuncWords(String[]) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
-
Sets the end-of-sentence delimiters.
- setSentIndex(int) - Method in class edu.stanford.nlp.ling.CoreLabel
- setSentIndex(int) - Method in interface edu.stanford.nlp.ling.HasIndex
-
- setSentIndex(int) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- setSentIndex(Tree, int) - Static method in class edu.stanford.nlp.trees.Trees
-
Set the sentence index of all the leaves in the tree
(only works on CoreLabel)
- setSequenceMatchResultExtractor(Class) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- setSigma(double) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
- setSigma(double) - Method in class edu.stanford.nlp.classify.LogPrior
-
- setSigmaSquared(double) - Method in class edu.stanford.nlp.classify.LogPrior
-
- setSigmaSquaredM(double[]) - Method in class edu.stanford.nlp.classify.LogPrior
-
- setSize(int) - Method in class edu.stanford.nlp.tagger.maxent.PairsHolder
-
- setSource(int) - Method in class edu.stanford.nlp.util.IntUni
-
- setSpans() - Method in class edu.stanford.nlp.trees.Tree
-
Assign a SpanAnnotation on each node of this tree.
- setStart(int) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
-
- setStart(int) - Method in class edu.stanford.nlp.trees.Constituent
-
set start node.
- setStart(int) - Method in class edu.stanford.nlp.trees.SimpleConstituent
-
set start node.
- setStateID(S) - Method in class edu.stanford.nlp.fsm.DFSAState
-
- setStem(String) - Method in class edu.stanford.nlp.international.spanish.SpanishVerbStripper.StrippedVerb
-
- setStringMatchResultExtractor(Class) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- setSuffix(String) - Method in class edu.stanford.nlp.ie.NERFeatureFactory.FeatureCollector
-
Set the suffix to append to each token (separated by "|")
- setSum() - Method in class edu.stanford.nlp.maxent.Feature
-
- setSvmLightVerbosity(int) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
- setTag(String) - Method in class edu.stanford.nlp.ling.CategoryWordTag
-
- setTag(String) - Method in class edu.stanford.nlp.ling.CoreLabel
-
Set the tag value for the label (if one is stored).
- setTag(String) - Method in interface edu.stanford.nlp.ling.HasTag
-
Set the tag value for the label (if one is stored).
- setTag(String) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- setTag(Label) - Method in class edu.stanford.nlp.ling.LabeledWord
-
- setTag(String) - Method in class edu.stanford.nlp.ling.TaggedWord
-
- setTag(String, Value) - Method in class edu.stanford.nlp.ling.tokensregex.types.Tags
-
- setTag(String) - Method in class edu.stanford.nlp.ling.WordLemmaTag
-
Set the tag for the Label.
- setTag(String) - Method in class edu.stanford.nlp.ling.WordTag
-
- setTag(int, String) - Method in class edu.stanford.nlp.tagger.maxent.History
-
- setTagDelimiter(String) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
-
Split tags from tokens.
- setTags(Tags) - Method in interface edu.stanford.nlp.ling.tokensregex.types.Expression
-
Set the tags associated with this expression.
- setTags(Tags) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.TypedExpression
-
- setTags(Tags) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.WrappedExpression
-
- setTemporal(SUTime.Temporal) - Method in class edu.stanford.nlp.time.TimeExpression
-
- setTerminateOnEvalImprovementNumOfEpoch(int) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- setTerminateOnEvalImprovementNumOfEpoch(int) - Method in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
-
- setTestData(Collection<List<IN>>, List<Triple<int[][][], int[], double[][][]>>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierEvaluator
-
Set the data to test on
- setThird(T3) - Method in class edu.stanford.nlp.util.Quadruple
-
- setThird(T3) - Method in class edu.stanford.nlp.util.Triple
-
- setTimeZone(DateTimeZone) - Method in class edu.stanford.nlp.time.SUTime.ExplicitTemporalSet
-
- setTimeZone(DateTimeZone) - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
-
- setTimeZone(DateTimeZone) - Method in class edu.stanford.nlp.time.SUTime.InexactTime
-
- setTimeZone(DateTimeZone) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- setTimeZone(DateTimeZone) - Method in class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
-
- setTimeZone(DateTimeZone) - Method in class edu.stanford.nlp.time.SUTime.Range
-
- setTimeZone(SUTime.Temporal, DateTimeZone) - Static method in class edu.stanford.nlp.time.SUTime.Temporal
-
- setTimeZone(DateTimeZone) - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- setTimeZone(DateTimeZone) - Method in class edu.stanford.nlp.time.SUTime.TimeWithRange
-
- setTokenizerFactory(TokenizerFactory<? extends HasWord>) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
-
Sets the factory from which to produce a
Tokenizer
.
- setTokenizerFactory(TokenizerFactory<? extends HasWord>) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- setTol(double) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
Set the tolerance.
- setToLogDeterministic(float[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- setToLogDeterministic(double[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- setTuneCV(boolean) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
- setTuneHeldOut(boolean) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
- setTuneMinimizer(LineSearcher) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
- setTuneSigmaCV(int) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
setTuneSigmaCV sets the tuneSigmaCV
flag: when turned on,
the sigma is tuned by cross-validation.
- setTuneSigmaCV(int) - Method in class edu.stanford.nlp.classify.NBLinearClassifierFactory
-
setTuneSigmaCV sets the tuneSigma
flag: when turned on,
the sigma is tuned by cross-validation.
- setTuneSigmaHeldOut() - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
setTuneSigmaHeldOut sets the tuneSigmaHeldOut
flag: when turned on,
the sigma is tuned by means of held-out (70%-30%).
- setUnknownWordModel(UnknownWordModel) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- setUnknownWordModel(UnknownWordModel) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- setUnknownWordModel(UnknownWordModel) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- setUnknownWordModel(UnknownWordModel) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
- setup(File, String...) - Method in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
-
- setup(File, String...) - Method in interface edu.stanford.nlp.trees.treebank.Mapper
-
Perform initialization prior to the first call to map
.
- setUseRealLabels(boolean) - Method in class edu.stanford.nlp.util.ConfusionMatrix
-
- setUseSigmoid(boolean) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
Specify whether or not to train an overlying platt (sigmoid)
model for producing meaningful probabilities.
- setUseSum(boolean) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
NOTE: nothing is actually done with this value!
SetUseSum sets the useSum
flag: when turned on,
the Summed Conditional Objective Function is used.
- setval(double) - Method in class edu.stanford.nlp.math.DoubleAD
-
- setValue(int, double) - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
- setValue(int[], double) - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
- setValue(int[], float) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
-
- setValue(String) - Method in class edu.stanford.nlp.ling.CoreLabel
-
Set the value for the label (if one is stored).
- setValue(String) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- setValue(String) - Method in interface edu.stanford.nlp.ling.Label
-
Set the value for the label (if one is stored).
- setValue(String) - Method in class edu.stanford.nlp.ling.StringLabel
-
Set the value for the label.
- setValue(String) - Method in class edu.stanford.nlp.ling.ValueLabel
-
Set the value for the label (if one is stored).
- setValue(String) - Method in class edu.stanford.nlp.ling.WordLemmaTag
-
Set the value for the Label.
- setValue(String) - Method in class edu.stanford.nlp.ling.WordTag
-
Set the value for the label (if one is stored).
- setValue(int, int, double) - Method in class edu.stanford.nlp.maxent.Feature
-
Used to sequentially set the values of a feature -- index is the pace in the arrays ; key goes into
indexedValues, and value goes into valuesI.
- setValue(String) - Method in class edu.stanford.nlp.trees.Constituent
-
Set the value for the label (if one is stored).
- setValue(String) - Method in class edu.stanford.nlp.trees.Tree
-
- setValues(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierEvaluator
-
- setValues(double[]) - Method in class edu.stanford.nlp.optimization.CmdEvaluator
-
- setVariables(Map<String, Object>) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- setVerbose(boolean) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
- setVerbose(boolean) - Static method in class edu.stanford.nlp.ie.NumberNormalizer
-
- setVerbose(boolean) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
-
- setWeight(int, float) - Method in class edu.stanford.nlp.classify.WeightedDataset
-
Set the weight of datum i.
- setWeight(double) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- setWeight(double) - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
-
- setWeights(double[][]) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
- setWeights(double[][]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- setWeights(double[][]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionNoisyLabel
-
- setWeights(double[][]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionWithDropout
-
- setWord(String) - Method in class edu.stanford.nlp.ling.CategoryWordTag
-
- setWord(String) - Method in class edu.stanford.nlp.ling.CoreLabel
-
Set the word value for the label.
- setWord(String) - Method in interface edu.stanford.nlp.ling.HasWord
-
Set the word value for the label (if one is stored).
- setWord(String) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- setWord(String) - Method in class edu.stanford.nlp.ling.Word
-
- setWord(String) - Method in class edu.stanford.nlp.ling.WordLemmaTag
-
- setWord(String) - Method in class edu.stanford.nlp.ling.WordTag
-
- setYear(int) - Method in class edu.stanford.nlp.time.SUTime.IsoDate
-
- SGD2QNhessSamples - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- SGDMinimizer<T extends Function> - Class in edu.stanford.nlp.optimization
-
In place Stochastic Gradient Descent Minimizer.
- SGDMinimizer(double, int) - Constructor for class edu.stanford.nlp.optimization.SGDMinimizer
-
- SGDMinimizer(double, int, int) - Constructor for class edu.stanford.nlp.optimization.SGDMinimizer
-
- SGDMinimizer(double, int, int, int) - Constructor for class edu.stanford.nlp.optimization.SGDMinimizer
-
- SGDMinimizer(LogPrior, int, int, int) - Constructor for class edu.stanford.nlp.optimization.SGDMinimizer
-
- SGDPasses - Variable in class edu.stanford.nlp.optimization.SGDToQNMinimizer
-
- SGDPasses - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- SGDToQNMinimizer - Class in edu.stanford.nlp.optimization
-
Stochastic Gradient Descent To Quasi Newton Minimizer
An experimental minimizer which takes a stochastic function (one implementing AbstractStochasticCachingDiffFunction)
and executes SGD for the first couple passes.
- SGDToQNMinimizer(double, int, int, int) - Constructor for class edu.stanford.nlp.optimization.SGDToQNMinimizer
-
- SGDToQNMinimizer(double, int, int, int, int, int) - Constructor for class edu.stanford.nlp.optimization.SGDToQNMinimizer
-
- SGDToQNMinimizer(double, int, int, int, int, int, boolean) - Constructor for class edu.stanford.nlp.optimization.SGDToQNMinimizer
-
- SGDWithAdaGradAndFOBOS<T extends DiffFunction> - Class in edu.stanford.nlp.optimization
-
Stochastic Gradient Descent With AdaGrad and FOBOS in batch mode.
- SGDWithAdaGradAndFOBOS(double, double, int) - Constructor for class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
-
- SGDWithAdaGradAndFOBOS(double, double, int, int) - Constructor for class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
-
- SGDWithAdaGradAndFOBOS(double, double, int, int, String, double, boolean, boolean, double, double) - Constructor for class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
-
- SGDWithAdaGradAndFOBOS.Prior - Enum in edu.stanford.nlp.optimization
-
- SGML - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- ShapeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ShapeAnnotation
-
- shapeOf(CharSequence, boolean, boolean) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
-
- shift() - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
- shift(int) - Method in class edu.stanford.nlp.sequences.Clique
-
- shiftLeft() - Method in class edu.stanford.nlp.util.IntTuple
-
- shortArrToByteArr(short[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- shortArrToByteArr(short[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- shortArrToByteArr(byte[], int, short[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- shortNameToGRel - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
- shortNameToGRel - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
Map from Chinese GrammaticalRelation short names to their corresponding
GrammaticalRelation objects.
- shortNameToGRel - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
- shortNameToGRel - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
- shortValue() - Method in class edu.stanford.nlp.util.MutableDouble
-
- shortValue() - Method in class edu.stanford.nlp.util.MutableInteger
-
- showAll() - Method in class edu.stanford.nlp.util.logging.VisibilityHandler
-
Show all of the channels.
- showAllChannels() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
Show all channels (with this handler, there may be upstream handlers).
- showCCInfo(ClassifierCombiner) - Static method in class edu.stanford.nlp.ie.ClassifierCombiner
-
- showCCInfo - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- showNCCInfo(NERClassifierCombiner) - Static method in class edu.stanford.nlp.ie.NERClassifierCombiner
-
Method for displaying info about an NERClassifierCombiner.
- showNCCInfo - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- showOnlyChannels(Object...) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
Show only these channels, as far as downstream handlers are concerned.
- showOnlyError - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
Show only errors (e.g., to send them to an error file)
- shuffle(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- shuffle(int[], Random) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- shuffleWithSideInformation(long, List<E>) - Method in class edu.stanford.nlp.classify.GeneralDataset
-
Randomizes the data array in place.
- shuffleWithSideInformation(long, List<E>) - Method in class edu.stanford.nlp.classify.RVFDataset
-
Randomizes the data array in place.
- shuffleWithSideInformation(long, List<E>) - Method in class edu.stanford.nlp.classify.WeightedDataset
-
Randomizes (shuffles) the data array in place.
- shutUp() - Method in class edu.stanford.nlp.optimization.InefficientSGDMinimizer
-
- shutUp() - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- shutUp() - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
-
- shutUp() - Method in class edu.stanford.nlp.optimization.SGDMinimizer
-
- shutUp() - Method in class edu.stanford.nlp.optimization.SGDToQNMinimizer
-
- shutUp() - Method in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
-
- shutUp() - Method in class edu.stanford.nlp.optimization.SMDMinimizer
-
- shutUp() - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- siblings(Tree) - Method in class edu.stanford.nlp.trees.Tree
-
Returns the siblings of this Tree node.
- sideCounters(String, List, List, Map) - Method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
-
- sighanCorporaDict - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
for Sighan bakeoff 2005, the path to the dictionary of bigrams appeared in
corpus
- sighanPostProcessing - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- sigLevelByApproxRand(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Computes the significance level by approximate randomization, using a
default value of 1000 iterations.
- sigLevelByApproxRand(double[], double[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Takes a pair of arrays, A and B, which represent corresponding
outcomes of a pair of random variables: say, results for two different
classifiers on a sequence of inputs.
- sigLevelByApproxRand(int[], int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- sigLevelByApproxRand(int[], int[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- sigLevelByApproxRand(boolean[], boolean[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- sigLevelByApproxRand(boolean[], boolean[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- sigma - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
-
- sigma - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- sigma - Variable in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
-
- sigma - Variable in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
-
- sigma - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
-
- sigma - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- SIGMA_SQUARED - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- sigmasToTry - Static variable in class edu.stanford.nlp.classify.LinearClassifierFactory
-
- sigmoid(double) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Compute the sigmoid function with mean zero.
- signalEndTrack(int, long) - Method in class edu.stanford.nlp.util.logging.LogRecordHandler
-
Signal the end of a track, i.e.
- signalEndTrack(int, long) - Method in class edu.stanford.nlp.util.logging.OutputHandler
-
Signal the end of a track, i.e.
- signalEndTrack(int, long) - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler
-
Signal the end of a track, i.e.
- signalEndTrack(int, long) - Method in class edu.stanford.nlp.util.logging.VisibilityHandler
-
Signal the end of a track, i.e.
- signalShutdown() - Method in class edu.stanford.nlp.util.logging.LogRecordHandler
-
- signalShutdown() - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler
- signalStartTrack(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.LogRecordHandler
-
Signal the start of a track, i.e.
- signalStartTrack(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.OutputHandler
-
Signal the start of a track, i.e.
- signalStartTrack(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler
-
Signal the start of a track, i.e.
- signalStartTrack(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.VisibilityHandler
-
Signal the start of a track, i.e.
- signature - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NamedValueFunction
-
- simpleBinarizedLabels - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
When binarizing trees, don't annotate the labels with anything
- SimpleCachedExpression(String, T, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleCachedExpression
-
- SimpleConstituent - Class in edu.stanford.nlp.trees
-
A SimpleConstituent
object defines a generic edge in a graph.
- SimpleConstituent() - Constructor for class edu.stanford.nlp.trees.SimpleConstituent
-
Create an empty SimpleConstituent
object.
- SimpleConstituent(int, int) - Constructor for class edu.stanford.nlp.trees.SimpleConstituent
-
Create a SimpleConstituent
object with given values.
- SimpleConstituentFactory - Class in edu.stanford.nlp.trees
-
A ConstituentFactory
acts as a factory for creating objects
of class Constituent
, or some descendent class.
- SimpleConstituentFactory() - Constructor for class edu.stanford.nlp.trees.SimpleConstituentFactory
-
- SimpleExpression(String, T, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleExpression
-
- simpleGoodTuring(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Distribution
-
Creates a Distribution from the given counter using Gale & Sampsons'
"simple Good-Turing" smoothing.
- SimpleGoodTuring - Class in edu.stanford.nlp.stats
-
Simple Good-Turing smoothing, based on code from Sampson, available at:
ftp://ftp.informatics.susx.ac.uk/pub/users/grs2/SGT.c
See also http://www.grsampson.net/RGoodTur.html
- SimpleGoodTuring(int[], int[]) - Constructor for class edu.stanford.nlp.stats.SimpleGoodTuring
-
Each instance of this class encapsulates the computation of the smoothing
for one probability distribution.
- SimpleStringFunction(String) - Constructor for class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.SimpleStringFunction
-
- SimpleTime(String) - Constructor for class edu.stanford.nlp.time.SUTime.SimpleTime
-
- SimpleTree - Class in edu.stanford.nlp.trees
-
A SimpleTree
is a minimal concrete implementation of an
unlabeled, unscored Tree
.
- SimpleTree() - Constructor for class edu.stanford.nlp.trees.SimpleTree
-
Create an empty parse tree.
- SimpleTree(Label) - Constructor for class edu.stanford.nlp.trees.SimpleTree
-
Create parse tree with given root and null daughters.
- SimpleTree(Label, List<Tree>) - Constructor for class edu.stanford.nlp.trees.SimpleTree
-
Create parse tree with given root and array of daughter trees.
- simpleTreeBinarizer(HeadFinder, TreebankLanguagePack) - Static method in class edu.stanford.nlp.parser.lexparser.TreeBinarizer
-
Builds a TreeBinarizer with all of the options set to simple values
- SimpleTreeFactory - Class in edu.stanford.nlp.trees
-
A SimpleTreeFactory
acts as a factory for creating objects
of class SimpleTree
.
- SimpleTreeFactory() - Constructor for class edu.stanford.nlp.trees.SimpleTreeFactory
-
Creates a new TreeFactory
.
- SimpleValue(String, T, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleValue
-
- simplify(Env) - Method in interface edu.stanford.nlp.ling.tokensregex.types.Expression
-
Simplifies the expression using the specified environment.
- simplify(Env) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.ConditionalExpression
-
- simplify(Env) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.FunctionCallExpression
-
- simplify(Env) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.MethodCallExpression
-
- simplify(Env) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.TypedExpression
-
- simplify(Env) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.WrappedExpression
-
- simplifyNoTypeConversion(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
-
- SingleAnnotationExtractor() - Constructor for class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- sisterAnnotate - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Selective Sister annotation.
- SisterAnnotationStats - Class in edu.stanford.nlp.parser.lexparser
-
See what sister annotation helps in treebank, based on support and
KL divergence.
- SisterAnnotationStats() - Constructor for class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
-
- sisterCounters(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
-
- sisterSplitLevel - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Set the support * KL cutoff level (1-4) for sister splitting
-- don't use it, as far as we can tell so far
- sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Returns the splitting strings used for selective splits.
- sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
-
- sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
- sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
-
- sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
-
- sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
-
- sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
-
- sisterSplitters - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- sisterSplitters() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
Returns the splitting strings used for selective splits.
- size - Variable in class edu.stanford.nlp.classify.GeneralDataset
-
- size() - Method in class edu.stanford.nlp.classify.GeneralDataset
-
Returns the number of examples (
Datum
s) in the Dataset.
- size() - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
- size() - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
-
- size() - Method in class edu.stanford.nlp.ling.IndexedWord
-
- size() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
-
- size() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.StringList
-
- size() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.TokenList
-
- size() - Method in interface edu.stanford.nlp.ling.tokensregex.PhraseTable.WordList
-
- size() - Method in class edu.stanford.nlp.maxent.Experiments
-
Returns the number of training data items.
- size() - Method in class edu.stanford.nlp.maxent.Features
-
- size() - Method in class edu.stanford.nlp.objectbank.ObjectBank
-
Can be slow.
- size() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns the number of nodes in the graph
- size() - Method in class edu.stanford.nlp.sequences.Clique
-
The number of nodes in the clique.
- size() - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
-
- size() - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Returns the number of entries stored in this counter.
- size() - Method in interface edu.stanford.nlp.stats.Counter
-
Returns the number of entries stored in this counter.
- size() - Method in class edu.stanford.nlp.stats.IntCounter
-
- size() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- size() - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- size() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- size() - Method in class edu.stanford.nlp.tagger.maxent.Extractors
-
- size() - Method in class edu.stanford.nlp.tagger.maxent.PairsHolder
-
- size - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- size() - Method in class edu.stanford.nlp.trees.Constituent
-
Return the length of a Constituent
- size() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
- size() - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
Returns the size of the Treebank.
- size() - Method in class edu.stanford.nlp.trees.Tree
-
Returns the number of nodes the tree contains.
- size() - Method in class edu.stanford.nlp.trees.Treebank
-
Returns the size of the Treebank.
- size() - Method in class edu.stanford.nlp.util.ArrayCoreMap
-
Returns the number of elements in this map.
- size() - Method in class edu.stanford.nlp.util.ArrayHeap
-
Get the number of elements in the heap.
- size() - Method in class edu.stanford.nlp.util.ArrayMap
-
- size() - Method in class edu.stanford.nlp.util.ArraySet
-
Returns size of set.
- size() - Method in class edu.stanford.nlp.util.Beam
-
- size() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
Get the number of elements in the queue.
- size() - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
The number of keys in this map.
- size() - Method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
-
- size() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
Number of elements in the queue.
- size() - Method in class edu.stanford.nlp.util.HashIndex
-
Returns the number of indexed objects.
- size() - Method in interface edu.stanford.nlp.util.Heap
-
The number of elements currently in the heap.
- size() - Method in class edu.stanford.nlp.util.IdentityHashSet
-
Returns the number of elements in this set (its cardinality).
- size() - Method in interface edu.stanford.nlp.util.Index
-
Returns the number of indexed objects.
- size() - Method in class edu.stanford.nlp.util.Interner
-
- size() - Method in class edu.stanford.nlp.util.IntervalTree
-
- size() - Method in class edu.stanford.nlp.util.LeastRecentlyUsedCache
-
- size() - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
- size() - Method in class edu.stanford.nlp.util.PaddedList
-
- size() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- size() - Method in interface edu.stanford.nlp.util.TypesafeMap
-
Returns the number of keys in the map.
- SizedArrayListFactory(int) - Constructor for class edu.stanford.nlp.util.CollectionFactory.SizedArrayListFactory
-
- sizeOuterMap() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- skewDivergence(Counter<E>, Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Calculates the skew divergence between the two counters.
- skipOutputRegularization - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- skipRoot() - Method in class edu.stanford.nlp.trees.Tree
-
Returns first child if this is unary and if the label at the current
node is either "ROOT" or empty.
- skipValCalc - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
-
- slashHyphenTreatment - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- slf4j - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
Output to slf4j.
- slf4j() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
Run Redwood with SLF4J as the console backend
- sList - Variable in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
-
- sList - Variable in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
-
- sloppyGazette - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- SloppyMath - Class in edu.stanford.nlp.math
-
The class SloppyMath
contains methods for performing basic
numeric operations.
- slurpFile(File) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text in the given File as a single String.
- slurpFile(File, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text in the given File as a single String.
- slurpFile(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text in the given file with the given encoding.
- slurpFile(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text in the given file
- slurpFileNoExceptions(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text in the given file with the given
encoding.
- slurpFileNoExceptions(File) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text in the given file with the given
encoding.
- slurpFileNoExceptions(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text in the given file with the given
encoding.
- slurpGZippedFile(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text in the given File as a single String.
- slurpGZippedFile(File) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text in the given File as a single String.
- slurpInputStream(InputStream, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Read the contents of an input stream, decoding it according to the given character encoding.
- slurpReader(Reader) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text from the given Reader.
- slurpURL(URL, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text at the given URL.
- slurpURL(URL) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text at the given URL.
- slurpURL(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text at the given URL.
- slurpURLNoExceptions(URL, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text at the given URL.
- slurpURLNoExceptions(URL) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text at the given URL.
- slurpURLNoExceptions(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text at the given URL.
- smallConst - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- smartMutation - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Have tags changeable based on statistics on word types having various
taggings.
- smartMutation - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
-
Smarter smoothing for rare words.
- SMDMinimizer<T extends Function> - Class in edu.stanford.nlp.optimization
-
Stochastic Meta Descent Minimizer based on
Accelerated training of conditional random fields with stochastic gradient methods
S.
- SMDMinimizer() - Constructor for class edu.stanford.nlp.optimization.SMDMinimizer
-
- SMDMinimizer(double, int, StochasticCalculateMethods, int) - Constructor for class edu.stanford.nlp.optimization.SMDMinimizer
-
- SMDMinimizer(double, int, StochasticCalculateMethods, int, boolean) - Constructor for class edu.stanford.nlp.optimization.SMDMinimizer
-
- smooth(List<double[]>) - Static method in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- smooth_aPTW_aPT - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
- smooth_aT_hTd - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
- smooth_aT_hTWd - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
Bayesian m-estimate prior for aT given hTWd against base distribution
of aT given hTd.
- smooth_aTW_aT - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
- smooth_aTW_hTd - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
- smooth_aTW_hTWd - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
Bayesian m-estimate prior for aTW given hTWd against base distribution
of aTW given hTd.
- smooth_stop - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
- smoothing - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
TODO wsg2011: This is the old grammar smoothing parameter that no
longer does anything in the parser.
- smoothInUnknownsThreshold - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
If a word has been seen more than this many times, then relative
frequencies of tags are used for POS assignment; if not, they are smoothed
with tag priors.
- smoothInUnknownsThreshold - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
-
Words more common than this are tagged with MLE P(t|w).
- softmax(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- softmaxOutputLayer - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- softmaxTieLambda - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- solveCG() - Method in class edu.stanford.nlp.maxent.CGRunner
-
Solves the problem using conjugate gradient (CG).
- solveL1(double) - Method in class edu.stanford.nlp.maxent.CGRunner
-
Solves the problem using OWLQN.
- solveOWLQN2(double) - Method in class edu.stanford.nlp.maxent.CGRunner
-
- solveQN() - Method in class edu.stanford.nlp.maxent.CGRunner
-
Solves the problem using a quasi-newton method (L-BFGS).
- sorted(Iterable<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Return the items of an Iterable as a sorted list.
- sorted(Iterable<T>, Comparator<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Return the items of an Iterable as a sorted list.
- sortedEntries(Collection<Map.Entry<K, V>>) - Static method in class edu.stanford.nlp.util.Maps
-
Sorts a list of entries.
- sortedEntries(Map<K, V>) - Static method in class edu.stanford.nlp.util.Maps
-
Returns a List of entries in the map, sorted by key.
- sortedIfPossible(Collection<T>) - Static method in class edu.stanford.nlp.util.ErasureUtils
-
- source() - Method in class edu.stanford.nlp.fsm.DFSATransition
-
- sourceTree - Variable in class edu.stanford.nlp.ie.util.RelationTriple.WithTree
-
- SpaceBeforeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SpaceBeforeAnnotation
-
- Span - Class in edu.stanford.nlp.ie.machinereading.structure
-
Stores the offsets for a span of text
Offsets may indicate either token or byte positions
Start is inclusive, end is exclusive
- Span(int, int) - Constructor for class edu.stanford.nlp.ie.machinereading.structure.Span
-
This assumes that s <= e.
- Span(Span...) - Constructor for class edu.stanford.nlp.ie.machinereading.structure.Span
-
Creates a span that encloses all spans in the argument list.
- SpanAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SpanAnnotation
-
- SPANISH_PROPERTIES - Static variable in class edu.stanford.nlp.pipeline.LanguageInfo
-
- SpanishHeadFinder - Class in edu.stanford.nlp.trees.international.spanish
-
- SpanishHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.spanish.SpanishHeadFinder
-
- SpanishHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.spanish.SpanishHeadFinder
-
- SpanishTokenizer<T extends HasWord> - Class in edu.stanford.nlp.international.spanish.process
-
Tokenizer for raw Spanish text.
- SpanishTokenizer(Reader, LexedTokenFactory<T>, Properties, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
-
Constructor.
- SpanishTokenizer.SpanishTokenizerFactory<T extends HasWord> - Class in edu.stanford.nlp.international.spanish.process
-
A factory for Spanish tokenizer instances.
- SpanishTreebankLanguagePack - Class in edu.stanford.nlp.trees.international.spanish
-
Language pack for the Spanish treebank.
- SpanishTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
-
- SpanishTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser
-
TreebankLangParserParams for the AnCora corpus.
- SpanishTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
-
- SpanishTreeNormalizer - Class in edu.stanford.nlp.trees.international.spanish
-
Normalize trees read from the AnCora Spanish corpus.
- SpanishTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.international.spanish.SpanishTreeNormalizer
-
- SpanishTreeNormalizer(boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.spanish.SpanishTreeNormalizer
-
- SpanishTreeReaderFactory - Class in edu.stanford.nlp.trees.international.spanish
-
A class for reading Spanish AnCora trees that have been converted
from XML to PTB format.
- SpanishTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.spanish.SpanishTreeReaderFactory
-
- SpanishUnknownWordSignatures - Class in edu.stanford.nlp.international.spanish
-
Contains patterns for matching certain word types in Spanish, such
as common suffices for nouns, verbs, adjectives and adverbs.
- SpanishVerbStripper - Class in edu.stanford.nlp.international.spanish
-
Provides a utility function for removing attached pronouns from
Spanish verb forms.
- SpanishVerbStripper.StrippedVerb - Class in edu.stanford.nlp.international.spanish
-
A struct describing the result of verb stripping.
- spanString() - Method in class edu.stanford.nlp.trees.Tree
-
Return String of leaves spanned by this tree assuming they are CoreLabel's
Throws an IllegalArgumentException if the leaves are not CoreLabels that contain
text info as in the typical use case of a Tree generated by a pipeline
- sparseOutputLayer - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- SpeakerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SpeakerAnnotation
-
- SpeakerTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SpeakerTypeAnnotation
-
- spearmanRankCorrelation(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- spec() - Method in class edu.stanford.nlp.util.ConfusionMatrix.Contingency
-
- SpecialNodePatternExpr(String) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.SpecialNodePatternExpr
-
- SpecialNodePatternExpr(String, Factory<SequencePattern.State>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.SpecialNodePatternExpr
-
- spliceOut(Predicate<Tree>) - Method in class edu.stanford.nlp.trees.Tree
-
Creates a (partial) deep copy of the tree, where all nodes that the
filter does not accept are spliced out.
- spliceOut(Predicate<Tree>, TreeFactory) - Method in class edu.stanford.nlp.trees.Tree
-
Creates a (partial) deep copy of the tree, where all nodes that the
filter does not accept are spliced out.
- split(double) - Method in class edu.stanford.nlp.classify.Dataset
-
Divide out a (devtest) split from the start of the dataset and the rest of it (as a training set).
- split(int, int) - Method in class edu.stanford.nlp.classify.Dataset
-
Divide out a (devtest) split of the dataset versus the rest of it (as a training set).
- split(int, int) - Method in class edu.stanford.nlp.classify.GeneralDataset
-
Divide out a (devtest) split of the dataset versus the rest of it (as a training set).
- split(double) - Method in class edu.stanford.nlp.classify.GeneralDataset
-
Divide out a (devtest) split from the start of the dataset and the rest of it (as a training set).
- split(double) - Method in class edu.stanford.nlp.classify.RVFDataset
-
- split(int, int) - Method in class edu.stanford.nlp.classify.RVFDataset
-
- split(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Splits on whitespace (\\s+).
- split(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Splits the given string using the given regex as delimiters.
- splitAux - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Make special tags for forms of BE and HAVE (and maybe DO/HELP, etc.).
- splitBaseNP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Mark base NPs.
- splitBaseNP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Mark base NPs.
- splitCC - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Provide annotation of conjunctions.
- splitCompoundOption - Variable in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
-
- splitCompoundOption - Variable in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
-
- splitContractionOption - Variable in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
-
- splitContractionOption - Variable in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
-
- splitCoreMap(Pattern, boolean, CoreMap, CoreTokenFactory<T>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
- splitCount - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
If we are predicting splits, we loop this many times
- splitDocuments - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- spliterator() - Method in class edu.stanford.nlp.util.IterableIterator
-
- spliterator() - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
- splitFieldsFast(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Splits a string into whitespace tokenized fields based on a delimiter and then whitespace.
- splitIN - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Annotate prepositions into subcategories.
- splitJJCOMP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Put a special tag on 'adjectives with complements'.
- splitKeepDelimiter(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Splits on the given delimiter and returns the delimiters as well.
- splitLinesKeepNewlines(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Split the text into pieces based on newlines.
- splitMoreLess - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Specially mark the comparative/superlative words: less, least,
more, most
- splitMorphString(String, String) - Static method in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
-
Returns the lemma as pair.first() and the morph analysis as pair.second().
- splitNNP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Mark NNP words as to position in phrase (single, left, right, inside)
or subcategorizes NNP(S) as initials or initial/final in NP.
- splitNOT - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Annotates forms of "not" specially as tag "NOT".
- splitNPADV - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Retain NP-ADV annotation.
- splitNPNNP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Mark NP-NNP.
- splitNPpercent - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Mark phrases that are headed by %.
- splitNPPRP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
- splitNPTMP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Whether to retain the -TMP functional tag on various phrasal
categories.
- splitNumNP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Mark "numeric NPs".
- splitOnChar(String, char) - Static method in class edu.stanford.nlp.util.StringUtils
-
Split a string on a given single character.
- splitOnChar(String[], String, char) - Static method in class edu.stanford.nlp.util.StringUtils
-
Split on a given character, filling out the fields in the output array.
- splitOnCharWithQuoting(String, char, char, char) - Static method in class edu.stanford.nlp.util.StringUtils
-
This function splits the String s into multiple Strings using the
splitChar.
- splitOnHead - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- splitOutFold(int, int) - Method in class edu.stanford.nlp.classify.GeneralDataset
-
Divide out a (devtest) split of the dataset versus the rest of it (as a training set).
- splitPercent - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Mark the nouns that are percent signs.
- splitPoss - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Give a special tag to NPs which are possessive NPs (end in 's).
- splitPPJJ - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
A special test for "such" mainly ("such as Fred").
- splitPPTMP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- splitPrePreT - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Mark all pre-preterminals (also does splitBaseNP: don't need both)
- splitQuotes - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Mark quote marks for single vs.
- splitRB - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Split modifier (NP, AdjP) adverbs from others.
- splitRecombineRate - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
If we are predicting splits, we recombine states at this rate every loop
- splitSbar - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Split SBAR nodes.
- splitSFP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Separate out sentence final punct.
- splitSGapped - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Mark specially S nodes with "gapped" subject (control, raising).
- splitSlashHyphenWords - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- splitSTag - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Mark S/SINV/SQ nodes according to verbal tag.
- splitters - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Set the splitter strings.
- splitText(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- splitTMP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Retain NP-TMP (or maybe PP-TMP) annotation.
- splitTRJJ - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Put a special tag on 'transitive adjectives' with NP complement, like
'due May 15' -- it also catches 'such' in 'such as NP', which may
be a good.
- splitVerbOption - Variable in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
-
- splitVP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Add (head) tags to VPs.
- splitVPNPAgr - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Put enough marking on VP and NP to permit "agreement".
- splitWordRegex - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- splitXPTMP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- SPRING - Static variable in class edu.stanford.nlp.time.SUTime
-
- SPRING_EQUINOX - Static variable in class edu.stanford.nlp.time.SUTime
-
- SQflatten(Tree) - Method in class edu.stanford.nlp.trees.CoordinationTransformer
-
Removes the SQ structure under a WHNP question, such as "Who am I
to judge?".
- SQNMinimizer<T extends Function> - Class in edu.stanford.nlp.optimization
-
Online Limited-Memory Quasi-Newton BFGS implementation based on the algorithms in
Nocedal, Jorge, and Stephen J.
- SQNMinimizer(int) - Constructor for class edu.stanford.nlp.optimization.SQNMinimizer
-
- SQNMinimizer() - Constructor for class edu.stanford.nlp.optimization.SQNMinimizer
-
- SQNMinimizer(int, double, int, boolean) - Constructor for class edu.stanford.nlp.optimization.SQNMinimizer
-
- SRLIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SRLIDAnnotation
-
- SRLInstancesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SRLInstancesAnnotation
-
- st - Variable in class edu.stanford.nlp.process.TokenizerAdapter
-
- StackedNamedEntityTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.StackedNamedEntityTagAnnotation
-
- Stage() - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor.Stage
-
- stage - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
Stage in which this rule should be applied with respect to others
- stalledIterationLimit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
How many iterations to allow training to stall before taking the
best model, if training in an iterative manner
- standard() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
A standard Redwood configuration, which prints to the console with channels.
- standardDeviation(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- standardErrorOfMean(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- standardISODateFields - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
-
- standardISOFields - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
-
- standardISOTimeFields - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
-
- standardISOWeekFields - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
-
- standardize(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Standardize values in this array, i.e., subtract the mean and divide by the standard deviation.
- STANFORD_CLEAN_XML - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_COLUMN_DATA_CLASSIFIER - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_COREF - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_COREF_MENTION - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_DEPENDENCIES - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_DETERMINISTIC_COREF - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_DOCDATE - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_ENTITY_MENTIONS - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_GENDER - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_KBP - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_LEMMA - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_LINK - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_MWT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_NATLOG - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_NER - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_OPENIE - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_PARSE - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_POS - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_QUOTE - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_QUOTE_ATTRIBUTION - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_REGEXNER - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_RELATION - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_SENTIMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_SSPLIT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_TOKENIZE - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
These are annotators which StanfordCoreNLP knows how to create.
- STANFORD_TOKENSREGEX - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_TRUECASE - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_UD_FEATURES - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- stanfordDependencies - Variable in enum edu.stanford.nlp.trees.GrammaticalStructureConversionUtils.ConverterOptions
-
- start() - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
-
- start() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- start(int) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- start(String) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- start(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
- start(String) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
Returns the start index of the subsequence captured by the given group
during this match.
- start() - Method in class edu.stanford.nlp.trees.Constituent
-
access start node.
- start() - Method in class edu.stanford.nlp.trees.SimpleConstituent
-
access start node.
- start() - Method in class edu.stanford.nlp.util.Timing
-
Start timer.
- startDoing(String) - Static method in class edu.stanford.nlp.util.Timing
-
Print the start of timing message to stderr and start the timer.
- startElement(String, String, String, Attributes) - Method in class edu.stanford.nlp.process.TransformXML.SAXInterface
-
- startEvaluateIters - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- startFold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- StartMatchAction(SequencePattern<T>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.StartMatchAction
-
- startSymbol() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns a String which is the first (perhaps unique) start symbol
of the treebank, or null if none is defined.
- startSymbol() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns a String which is the first (perhaps unique) start symbol
of the treebank, or null if none is defined.
- startSymbolAcceptFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Return a filter that accepts a String that is a start symbol
of the treebank, and rejects everything else.
- startSymbolAcceptFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Return a filter that accepts a String that is a start symbol
of the treebank, and rejects everything else.
- startSymbols() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns a String array of treebank start symbols.
- startSymbols() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
-
Returns a String array of treebank start symbols.
- startSymbols() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
-
Returns a String array of treebank start symbols.
- startSymbols() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
-
- startSymbols() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
Returns a String array of treebank start symbols.
- startSymbols() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
Returns a String array of treebank start symbols.
- startSymbols() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
-
Returns a String array of treebank start symbols.
- startSymbols() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
-
Returns a String array of treebank start symbols.
- startSymbols() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns a String array of treebank start symbols.
- startThreads(String) - Static method in class edu.stanford.nlp.util.logging.Redwood
-
Start a multithreaded logging environment.
- startThreads(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- startTime() - Static method in class edu.stanford.nlp.util.Timing
-
Start (static) timer.
- startTrack(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood
-
Begin a "track;" that is, begin logging at one level deeper.
- startTrack(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- state - Variable in class edu.stanford.nlp.classify.CrossValidator.SavedState
-
- StateAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.StateAnnotation
-
- stateID() - Method in class edu.stanford.nlp.fsm.DFSAState
-
- StatementTextAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.StatementTextAnnotation
-
- states() - Method in class edu.stanford.nlp.fsm.DFSA
-
- statesReachable() - Method in class edu.stanford.nlp.fsm.DFSAState
-
- STDERR - Static variable in class edu.stanford.nlp.util.logging.Redwood
-
- STDERR - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
-
- stderr - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
Output to a standard error.
- stdev(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- STDOUT - Static variable in class edu.stanford.nlp.util.logging.Redwood
-
- STDOUT - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
-
- stdout - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
Output to a standard output.
- stem(Word) - Method in class edu.stanford.nlp.process.Morphology
-
- stem(String) - Method in class edu.stanford.nlp.process.Morphology
-
- stem(CoreLabel) - Method in class edu.stanford.nlp.process.Morphology
-
Adds the LemmaAnnotation to the given CoreLabel.
- stem(CoreLabel, Class<? extends CoreAnnotation<String>>) - Method in class edu.stanford.nlp.process.Morphology
-
Adds stem under annotation ann
to the given CoreLabel.
- StemAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.StemAnnotation
-
- stemStatic(String, String) - Static method in class edu.stanford.nlp.process.Morphology
-
Return a new WordTag which has the lemma as the value of word().
- stemStatic(WordTag) - Static method in class edu.stanford.nlp.process.Morphology
-
Return a new WordTag which has the lemma as the value of word().
- stochasticBatchSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- StochasticCalculateMethods - Enum in edu.stanford.nlp.optimization
-
This enumeratin was created to organize the selection of different methods for stochastic
calculations.
- StochasticDiffFunctionTester - Class in edu.stanford.nlp.optimization
-
- StochasticDiffFunctionTester(Function) - Constructor for class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
-
- stochasticMethod - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- StochasticMinimizer<T extends Function> - Class in edu.stanford.nlp.optimization
-
Stochastic Gradient Descent Minimizer.
- StochasticMinimizer() - Constructor for class edu.stanford.nlp.optimization.StochasticMinimizer
-
- StochasticMinimizer.PropertySetter<T1> - Interface in edu.stanford.nlp.optimization
-
- STOP - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- stop() - Static method in class edu.stanford.nlp.util.logging.Redwood
-
Stop Redwood, closing all tracks and prohibiting future log messages.
- stop() - Method in class edu.stanford.nlp.util.Timing
-
Stop timer.
- stop(String, PrintStream) - Method in class edu.stanford.nlp.util.Timing
-
Print elapsed time and stop timer.
- stop(String) - Method in class edu.stanford.nlp.util.Timing
-
Print elapsed time to System.err
and stop timer.
- stop(String, PrintWriter) - Method in class edu.stanford.nlp.util.Timing
-
Print elapsed time and stop timer.
- STOP_TAG_INT - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- STOP_WORD_INT - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- stopCounter - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
- stopTW - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- str - Variable in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- stream() - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
- StreamGobbler - Class in edu.stanford.nlp.util
-
Reads the output of a process started by Process.exec()
Adapted from:
http://www.velocityreviews.com/forums/t130884-process-runtimeexec-causes-subprocess-hang.html
- StreamGobbler(InputStream, Writer) - Constructor for class edu.stanford.nlp.util.StreamGobbler
-
- strictGoodCoNLL - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- strictlyFirstOrder - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- strictlySecondOrder - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- strictlyThirdOrder - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- strictlyZeroethOrder - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- STRING_MATCH_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- STRING_REPLACE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- StringAnnotationPattern(String, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.StringAnnotationPattern
-
- StringAnnotationPattern(String) - Constructor for class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.StringAnnotationPattern
-
- StringAnnotationRegexPattern(Pattern) - Constructor for class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.StringAnnotationRegexPattern
-
- StringAnnotationRegexPattern(String, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.StringAnnotationRegexPattern
-
- stringAToByteArr(String) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- stringConverter - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- stringFromFile(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns the contents of a file as a single string.
- stringFromFile(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns the contents of a file as a single string.
- StringFunction(String, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.StringFunction
-
- StringFunction(String, int, String) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.StringFunction
-
- StringInSetAnnotationPattern(Set<String>, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.StringInSetAnnotationPattern
-
- StringInSetAnnotationPattern(Set<String>) - Constructor for class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.StringInSetAnnotationPattern
-
- stringIntern(Pair<String, String>) - Static method in class edu.stanford.nlp.util.Pair
-
If first and second are Strings, then this returns an MutableInternedPair
where the Strings have been interned, and if this Pair is serialized
and then deserialized, first and second are interned upon
deserialization.
- StringLabel - Class in edu.stanford.nlp.ling
-
A StringLabel
object acts as a Label by containing a
single String, which it sets or returns in response to requests.
- StringLabel() - Constructor for class edu.stanford.nlp.ling.StringLabel
-
Create a new StringLabel
with a null content (i.e., str).
- StringLabel(String) - Constructor for class edu.stanford.nlp.ling.StringLabel
-
Create a new StringLabel
with the given content.
- StringLabel(String, int, int) - Constructor for class edu.stanford.nlp.ling.StringLabel
-
Create a new StringLabel
with the given content.
- StringLabel(Label) - Constructor for class edu.stanford.nlp.ling.StringLabel
-
Create a new StringLabel
with the
value()
of another label as its label.
- StringLabelFactory - Class in edu.stanford.nlp.ling
-
A StringLabelFactory
object makes a simple
StringLabel
out of a String
.
- StringLabelFactory() - Constructor for class edu.stanford.nlp.ling.StringLabelFactory
-
- StringList(List<String>) - Constructor for class edu.stanford.nlp.ling.tokensregex.PhraseTable.StringList
-
- StringList(String[]) - Constructor for class edu.stanford.nlp.ling.tokensregex.PhraseTable.StringList
-
- StringMatchedExpressionExtractor(MatchedExpression.SingleAnnotationExtractor, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringMatchedExpressionExtractor
-
- stringMatchResultExtractor - Variable in class edu.stanford.nlp.ling.tokensregex.Env
-
- StringMatchResultExtractor(Env, Expression, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringMatchResultExtractor
-
- StringMatchResultExtractor(Env, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringMatchResultExtractor
-
- StringNumberValue(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- StringOutputStream - Class in edu.stanford.nlp.io
-
An OutputStream
that can be turned into a String
.
- StringOutputStream() - Constructor for class edu.stanford.nlp.io.StringOutputStream
-
- StringParsingTask<E> - Class in edu.stanford.nlp.util
-
An instantiation of this abstract class parses a String
and
returns an object of type E
.
- StringParsingTask(String) - Constructor for class edu.stanford.nlp.util.StringParsingTask
-
Constructs a new StringParsingTask
from the specified
String
.
- StringParsingTask.ParserException - Exception in edu.stanford.nlp.util
-
- StringPatternExtractRule(Pattern, Function<MatchResult, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringPatternExtractRule
-
- StringPatternExtractRule(Env, String, Function<MatchResult, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringPatternExtractRule
-
- StringPatternExtractRule(String, Function<MatchResult, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringPatternExtractRule
-
- StringPatternExtractRule(Env, String, Function<MatchResult, O>, boolean) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringPatternExtractRule
-
- StringRegex(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- StringSequenceAnnotationPattern(Class, Set<List<String>>, boolean) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiCoreMapNodePattern.StringSequenceAnnotationPattern
-
- StringSequenceAnnotationPattern(Class, Set<List<String>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiCoreMapNodePattern.StringSequenceAnnotationPattern
-
- StringSequenceAnnotationPattern(Class, Map<List<String>, Object>, boolean) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiCoreMapNodePattern.StringSequenceAnnotationPattern
-
- StringSequenceAnnotationPattern(Class, Map<List<String>, Object>) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiCoreMapNodePattern.StringSequenceAnnotationPattern
-
- StringStringConverter() - Constructor for class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats.StringStringConverter
-
- stringTagsAt(int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- stringToNewlineIsSentenceBreak(String) - Static method in class edu.stanford.nlp.process.WordToSentenceProcessor
-
- stringToProperties(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
This method converts a comma-separated String (with whitespace
optionally allowed after the comma) representing properties
to a Properties object.
- stringToProperties(String, Properties) - Static method in class edu.stanford.nlp.util.StringUtils
-
This method updates a Properties object based on
a comma-separated String (with whitespace
optionally allowed after the comma) representing properties
to a Properties object.
- stringToSet(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
- StringUtils - Class in edu.stanford.nlp.util
-
StringUtils is a class for random String things, including output formatting and command line argument parsing.
- stringUToByteArr(String) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- stripEmptyNode(Tree) - Static method in class edu.stanford.nlp.trees.DependencyTreeTransformer
-
- stripGF(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
- stripGF(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
- stripGF(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns the category for a String with everything following
the gf character (which may be language specific) stripped.
- stripNonAlphaNumerics(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
- StrippedVerb(String, List<String>) - Constructor for class edu.stanford.nlp.international.spanish.SpanishVerbStripper.StrippedVerb
-
- stripSGML(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
- stripTag(Tree) - Method in class edu.stanford.nlp.trees.DependencyTreeTransformer
-
- stripTags(Reader, List<Integer>, boolean) - Static method in class edu.stanford.nlp.util.XMLUtils
-
- stripVerb(String) - Method in class edu.stanford.nlp.international.spanish.SpanishVerbStripper
-
Remove attached pronouns from a strippable Spanish verb form.
- strToFeatures(String) - Method in class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification
-
Hand-written rules to convert SAMA analyses to feature structures.
- strToFeatures(String) - Method in class edu.stanford.nlp.international.french.FrenchMorphoFeatureSpecification
-
- strToFeatures(String) - Method in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
-
- style(StringBuilder, String, Color, Style) - Method in class edu.stanford.nlp.util.logging.OutputHandler
-
Style a particular String segment, according to a color and style
- Style - Enum in edu.stanford.nlp.util.logging
-
ANSI supported styles (rather, a subset of).
- styleChannel(String, Style) - Method in class edu.stanford.nlp.util.logging.OutputHandler
-
Style the tag for a particular channel this style
- subArray(Object[], int, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- SubcategorizationAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SubcategorizationAnnotation
-
- subcategoryStripper() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Returns a TreeTransformer appropriate to the Treebank which
can be used to remove functional tags (such as "-TMP") from
categories.
- SubcategoryStripper() - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.SubcategoryStripper
-
- subcategoryStripper() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
-
Returns a TreeTransformer that retains categories
according to the following options supported by setOptionFlag:
- subcategoryStripper() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
Returns a TreeTransformer appropriate to the Treebank which
can be used to remove functional tags (such as "-TMP") from
categories.
- subcategoryStripper() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
Returns a TreeTransformer appropriate to the Treebank which
can be used to remove functional tags (such as "-TMP") from
categories.
- subCWGaz - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- subject - Variable in class edu.stanford.nlp.ie.util.RelationTriple
-
The subject (first argument) of this triple
- SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "subject" grammatical relation.
- SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "subject" grammatical relation.
- SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "subject" (subj) grammatical relation (abstract).
- SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "subject" grammatical relation.
- subjectGloss() - Method in class edu.stanford.nlp.ie.util.RelationTriple
-
The subject of this relation triple, as a String
- subjectHead() - Method in class edu.stanford.nlp.ie.util.RelationTriple
-
The head of the subject of this relation triple.
- subjectHead() - Method in class edu.stanford.nlp.ie.util.RelationTriple.WithTree
-
The head of the subject of this relation triple.
- subjectLemmaGloss() - Method in class edu.stanford.nlp.ie.util.RelationTriple
-
The subject of this relation triple, as a String of the subject's lemmas.
- subjectLink() - Method in class edu.stanford.nlp.ie.util.RelationTriple
-
The entity link of the subject
- subjectLink - Variable in class edu.stanford.nlp.ie.util.RelationTriple.WithLink
-
The canonical entity link of the subject
- subjectLink() - Method in class edu.stanford.nlp.ie.util.RelationTriple.WithLink
-
The entity link of the subject
- subjectTokenSpan() - Method in class edu.stanford.nlp.ie.util.RelationTriple
-
Gets the span of the NON-CANONICAL subject.
- subList(int, int) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
- substituteCost(Object, Object) - Method in class edu.stanford.nlp.util.EditDistance
-
- subtract(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Duration
-
- subtract(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Range
-
- subtract(SUTime.Duration, int) - Method in class edu.stanford.nlp.time.SUTime.Range
-
- subtract(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Time
-
- SUBTRACT_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- subtractAll(IntCounter<E>) - Method in class edu.stanford.nlp.stats.IntCounter
-
Subtracts the counts in the given Counter from the counts in this Counter.
- subtractAll(K1, Counter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- subtractAll(TwoDimensionalCounterInterface<K1, K2>, boolean) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- subtractAll(K1, IntCounter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- subtractAll(TwoDimensionalIntCounter<K1, K2>, boolean) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- subtractInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Sets each value of target to be target[k]-arg[k] for all keys k in target.
- subtractInPlace(double[], Counter<E>, Index<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Sets each value of double[] target to be
target[idx.indexOf(k)]-a.getCount(k) for all keys k in arg
- subTreeList() - Method in class edu.stanford.nlp.trees.Tree
-
Get the list of all subtrees inside the tree by returning a tree
rooted at each node.
- subTrees() - Method in class edu.stanford.nlp.trees.Tree
-
Get the set of all subtrees inside the tree by returning a tree
rooted at each node.
- subTrees(T) - Method in class edu.stanford.nlp.trees.Tree
-
Add the set of all subtrees inside a tree (including the tree itself)
to the given Collection
.
- successorStates() - Method in class edu.stanford.nlp.fsm.DFSAState
-
- sum(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Returns the sum of an array of doubles.
- sum(double[], int, int) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Returns the sum of the portion of an array of numbers between
fromIndex
, inclusive, and toIndex
, exclusive.
- sum(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- sum(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- sum(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- sum - Variable in class edu.stanford.nlp.maxent.Feature
-
- SUM - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- sum(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
-
- sumEntries(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- sumInnerCounter() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
Returns the counters with keys as the first key and count as the
total count of the inner counter for that key
- summaryStatistics() - Method in class edu.stanford.nlp.classify.Dataset
-
Prints some summary statistics to stderr for the Dataset.
- summaryStatistics() - Method in class edu.stanford.nlp.classify.GeneralDataset
-
Print some statistics summarizing the dataset
- summaryStatistics() - Method in class edu.stanford.nlp.classify.RVFDataset
-
Prints some summary statistics to the logger for the Dataset.
- SUMMER - Static variable in class edu.stanford.nlp.time.SUTime
-
- SUMMER_SOLSTICE - Static variable in class edu.stanford.nlp.time.SUTime
-
- sumOutEnd() - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
- sumOutEnd() - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
-
- sumOutFront() - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
- sumOutFront() - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
-
- sumSquared(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- sumSquaredError(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- sumSquares(C) - Static method in class edu.stanford.nlp.stats.Counters
-
Return the sum of squares (squared L2 norm).
- SUNDAY - Static variable in class edu.stanford.nlp.time.SUTime
-
- SunJurafskyChineseHeadFinder - Class in edu.stanford.nlp.trees.international.pennchinese
-
A HeadFinder for Chinese based on rules described in Sun/Jurafsky NAACL 2004.
- SunJurafskyChineseHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.SunJurafskyChineseHeadFinder
-
- SunJurafskyChineseHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.SunJurafskyChineseHeadFinder
-
- sunJurafskyHeadFinder - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- SUNRISE - Static variable in class edu.stanford.nlp.time.SUTime
-
- SUNSET - Static variable in class edu.stanford.nlp.time.SUTime
-
- supFileCH - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- supFileEN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- SUPPCUTOFF - Static variable in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
-
Minimum support of parent annotated node for grandparent to be
studied.
- SUPPCUTOFF - Static variable in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
-
Minimum support of parent annotated node for grandparent to be
studied.
- supportsAnsi() - Method in class edu.stanford.nlp.util.logging.OutputHandler
-
Specify whether this output handler supports ansi output
- supportsAnsi() - Method in class edu.stanford.nlp.util.logging.Redwood.ConsoleHandler
-
- supportsAnsi - Static variable in class edu.stanford.nlp.util.logging.Redwood
-
Check if the console supports ANSI escape codes.
- supportsBasicDependencies() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
By default, parsers are assumed to not support dependencies.
- supportsBasicDependencies() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- supportsBasicDependencies() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
- supportsBasicDependencies() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
Whether our code provides support for converting phrase structure
(constituency) parses to (basic) dependency parses.
- supportsGrammaticalStructures() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
- supportsGrammaticalStructures() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- supportsGrammaticalStructures() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
-
- supportsGrammaticalStructures() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Whether or not we have typed dependencies for this language.
- suppressBuckDigitConversion(boolean) - Method in class edu.stanford.nlp.international.arabic.Buckwalter
-
- suppressBuckPunctConversion(boolean) - Method in class edu.stanford.nlp.international.arabic.Buckwalter
-
- suppressMidDotPostprocessing - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- suppressTerminalDetails - Static variable in class edu.stanford.nlp.ling.CategoryWordTag
-
If set to true, when a terminal or preterminal has as its category
something that is also the word or tag value, the latter are
suppressed.
- suppressTestDebug - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- suppressTestPrompt(boolean) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- suppressTestPrompt(boolean) - Method in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
-
- SurpriseConvergence(String) - Constructor for exception edu.stanford.nlp.optimization.QNMinimizer.SurpriseConvergence
-
- SUTime - Class in edu.stanford.nlp.time
-
SUTime is a collection of data structures to represent various temporal
concepts and operations between them.
- SUTime.CompositePartialTime - Class in edu.stanford.nlp.time
-
- SUTime.Duration - Class in edu.stanford.nlp.time
-
A Duration represents a period of time (without endpoints).
- SUTime.DurationRange - Class in edu.stanford.nlp.time
-
A range of durations.
- SUTime.DurationWithFields - Class in edu.stanford.nlp.time
-
Duration that is specified using fields such as milliseconds, days, etc.
- SUTime.DurationWithMillis - Class in edu.stanford.nlp.time
-
Duration specified in terms of milliseconds.
- SUTime.ExplicitTemporalSet - Class in edu.stanford.nlp.time
-
Explicit set of times: like tomorrow and next week, not really used
- SUTime.GroundedTime - Class in edu.stanford.nlp.time
-
- SUTime.InexactDuration - Class in edu.stanford.nlp.time
-
Duration that is inexact.
- SUTime.InexactTime - Class in edu.stanford.nlp.time
-
Inexact time, not sure when this is, but have some guesses.
- SUTime.IsoDate - Class in edu.stanford.nlp.time
-
- SUTime.IsoDateTime - Class in edu.stanford.nlp.time
-
- SUTime.IsoTime - Class in edu.stanford.nlp.time
-
- SUTime.OrdinalTime - Class in edu.stanford.nlp.time
-
The nth temporal.
- SUTime.PartialTime - Class in edu.stanford.nlp.time
-
- SUTime.PeriodicTemporalSet - Class in edu.stanford.nlp.time
-
PeriodicTemporalSet represent a set of times that occurs with some frequency.
- SUTime.Range - Class in edu.stanford.nlp.time
-
A time interval
- SUTime.RefTime - Class in edu.stanford.nlp.time
-
Reference time (some kind of reference time).
- SUTime.RelativeTime - Class in edu.stanford.nlp.time
-
Relative Time (something not quite resolved).
- SUTime.SimpleTime - Class in edu.stanford.nlp.time
-
Simple time (vague time that we don't really know what to do with)
- SUTime.StandardTemporalType - Enum in edu.stanford.nlp.time
-
- SUTime.Temporal - Class in edu.stanford.nlp.time
-
Basic temporal object.
- SUTime.TemporalOp - Enum in edu.stanford.nlp.time
-
- SUTime.TemporalSet - Class in edu.stanford.nlp.time
-
Exciting set of times
- SUTime.Time - Class in edu.stanford.nlp.time
-
Time represents a time point on some time scale.
- SUTime.TimeIndex - Class in edu.stanford.nlp.time
-
- SUTime.TimeUnit - Enum in edu.stanford.nlp.time
-
- SUTime.TimeWithRange - Class in edu.stanford.nlp.time
-
- SUTime.TimexAttr - Enum in edu.stanford.nlp.time
-
- SUTime.TimexDocFunc - Enum in edu.stanford.nlp.time
-
- SUTime.TimexMod - Enum in edu.stanford.nlp.time
-
- SUTime.TimexType - Enum in edu.stanford.nlp.time
-
- SUTIME_PROPERTY - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- SUTIME_PROPERTY - Static variable in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
-
- SVMLightClassifier<L,F> - Class in edu.stanford.nlp.classify
-
This class represents a trained SVM Classifier.
- SVMLightClassifier(ClassicCounter<Pair<F, L>>, ClassicCounter<L>) - Constructor for class edu.stanford.nlp.classify.SVMLightClassifier
-
- SVMLightClassifier(ClassicCounter<Pair<F, L>>, ClassicCounter<L>, LinearClassifier<L, L>) - Constructor for class edu.stanford.nlp.classify.SVMLightClassifier
-
- SVMLightClassifierFactory<L,F> - Class in edu.stanford.nlp.classify
-
- SVMLightClassifierFactory(String, String, String) - Constructor for class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
- SVMLightClassifierFactory() - Constructor for class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
- SVMLightClassifierFactory(boolean) - Constructor for class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
- svmLightLineToDatum(String) - Static method in class edu.stanford.nlp.classify.Dataset
-
- svmLightLineToRVFDatum(String) - Static method in class edu.stanford.nlp.classify.RVFDataset
-
- svmModelFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- swaps - Variable in class edu.stanford.nlp.util.MemoryMonitor
-
- switchedFilter(Predicate<E>, boolean) - Static method in class edu.stanford.nlp.util.Filters
-
Filter that's either negated or normal as specified.
- symmetricDiff(Set<E>, Set<E>) - Static method in class edu.stanford.nlp.util.Sets
-
Returns the symmetric difference of sets s1 and s2 (i.e.
- SynchronizedInterner<T> - Class in edu.stanford.nlp.util.concurrent
-
For interning (canonicalizing) things in a multi-threaded environment.
- SynchronizedInterner(Interner<T>) - Constructor for class edu.stanford.nlp.util.concurrent.SynchronizedInterner
-
- SynchronizedInterner(Interner<T>, Object) - Constructor for class edu.stanford.nlp.util.concurrent.SynchronizedInterner
-
- systemIsSwapping() - Method in class edu.stanford.nlp.util.MemoryMonitor
-
- SystemUtils - Class in edu.stanford.nlp.util
-
Useful methods for running shell commands, getting the process ID, checking
memory usage, etc.
- SystemUtils.ProcessException - Exception in edu.stanford.nlp.util
-
Runtime exception thrown by execute.
- SystemUtils.ProcessOutputStream - Class in edu.stanford.nlp.util
-
Helper class that acts as a output stream to a process
- t0 - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
-
- tab - Variable in class edu.stanford.nlp.util.logging.OutputHandler
-
The tab character
- tag - Variable in class edu.stanford.nlp.ling.CategoryWordTag
-
- tag() - Method in class edu.stanford.nlp.ling.CategoryWordTag
-
- tag() - Method in class edu.stanford.nlp.ling.CoreLabel
-
Return the tag value of the label (or null if none).
- tag() - Method in interface edu.stanford.nlp.ling.HasTag
-
Return the tag value of the label (or null if none).
- tag() - Method in class edu.stanford.nlp.ling.IndexedWord
-
- tag() - Method in class edu.stanford.nlp.ling.LabeledWord
-
- tag - Variable in class edu.stanford.nlp.ling.MultiTokenTag
-
- Tag(String, String, int) - Constructor for class edu.stanford.nlp.ling.MultiTokenTag.Tag
-
- tag - Variable in class edu.stanford.nlp.ling.MultiTokenTag.Tag
-
- tag() - Method in class edu.stanford.nlp.ling.TaggedWord
-
- tag() - Method in class edu.stanford.nlp.ling.WordLemmaTag
-
- tag() - Method in class edu.stanford.nlp.ling.WordTag
-
- tag - Variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- tag() - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- tag - Variable in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier.LabelTagType
-
- TAG_COLUMN - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
-
- TAG_INSIDE - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- TAG_LABEL - Static variable in class edu.stanford.nlp.ling.TaggedWordFactory
-
- TAG_LABEL - Static variable in class edu.stanford.nlp.ling.WordLemmaTagFactory
-
- TAG_SEPARATOR - Static variable in class edu.stanford.nlp.ling.CoreLabel
-
Tag separator to use by default
- TAG_SEPARATOR - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
-
- TAG_SEPARATOR - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- TAG_SEPARATOR_PROPERTY - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- tagAccuracy() - Method in class edu.stanford.nlp.tagger.maxent.TestClassifier
-
- tagAndOutputSentence(List<? extends HasWord>, boolean, Morphology, PlainTextDocumentReaderAndWriter.OutputStyle, boolean, int, String, Writer) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- tagBin - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- tagBin(int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- tagBin(int) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
-
Converts a tag (coded as an integer via a Numberer) from its
representation in the full tag space to the reduced (projected) tag
space used in the DependencyGrammar.
- tagCoreLabels(List<CoreLabel>) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Takes a sentence composed of CoreLabels and add the tags to the
CoreLabels, modifying the input sentence.
- tagCoreLabels(List<CoreLabel>, boolean) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Takes a sentence composed of CoreLabels and add the tags to the
CoreLabels, modifying the input sentence.
- tagCoreLabelsOrHasWords(List<? extends HasWord>, Morphology, boolean) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- tagFilter - Variable in class edu.stanford.nlp.trees.GrammaticalStructure
-
- tagFromXML(InputStream, Writer, String...) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Uses an XML transformer to turn an input stream into a bunch of
output.
- tagFromXML(Reader, Writer, String...) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- TaggedFileReader - Interface in edu.stanford.nlp.tagger.io
-
- TaggedFileRecord - Class in edu.stanford.nlp.tagger.io
-
Parses and specifies all the details for how to read some POS tagging data.
- TaggedFileRecord.Format - Enum in edu.stanford.nlp.tagger.io
-
- taggedFiles - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
A set of files to use as extra information in the lexicon.
- taggedLabeledYield() - Method in class edu.stanford.nlp.trees.Tree
-
Returns a List<CoreLabel>
from the tree.
- taggedLeafLabels(Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
returns the labels of the leaves in a Tree, augmented with POS tags.
- taggedStringFromTree(Tree, boolean, String) - Static method in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
-
Converts a parse tree into a string of tokens.
- TaggedWord - Class in edu.stanford.nlp.ling
-
A TaggedWord
object contains a word and its tag.
- TaggedWord() - Constructor for class edu.stanford.nlp.ling.TaggedWord
-
Create a new TaggedWord
.
- TaggedWord(String) - Constructor for class edu.stanford.nlp.ling.TaggedWord
-
Create a new TaggedWord
.
- TaggedWord(String, String) - Constructor for class edu.stanford.nlp.ling.TaggedWord
-
Create a new TaggedWord
.
- TaggedWord(Label) - Constructor for class edu.stanford.nlp.ling.TaggedWord
-
Create a new TaggedWord
.
- TaggedWord(Label, Label) - Constructor for class edu.stanford.nlp.ling.TaggedWord
-
Create a new TaggedWord
.
- TaggedWordFactory - Class in edu.stanford.nlp.ling
-
A TaggedWordFactory
acts as a factory for creating objects of
class TaggedWord
.
- TaggedWordFactory() - Constructor for class edu.stanford.nlp.ling.TaggedWordFactory
-
Create a new TaggedWordFactory
.
- TaggedWordFactory(char) - Constructor for class edu.stanford.nlp.ling.TaggedWordFactory
-
Create a new TaggedWordFactory
.
- taggedYield() - Method in class edu.stanford.nlp.trees.Tree
-
Gets the tagged yield of the tree.
- taggedYield(X) - Method in class edu.stanford.nlp.trees.Tree
-
Gets the tagged yield of the tree -- that is, get the preterminals
as well as the terminals.
- tagger - Variable in class edu.stanford.nlp.parser.nndep.Config
-
- Tagger - Class in edu.stanford.nlp.tagger.common
-
This module includes constants that are the same for all taggers,
as opposed to being part of their configurations.
- Tagger() - Constructor for class edu.stanford.nlp.tagger.common.Tagger
-
- TAGGER_HOME - Static variable in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- TaggerConfig - Class in edu.stanford.nlp.tagger.maxent
-
Reads and stores configuration information for a POS tagger.
- TaggerConfig(TaggerConfig) - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
We force you to pass in a TaggerConfig rather than any other
superclass so that we know the arg error checking has already occurred
- TaggerConfig(String...) - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- TaggerConfig(Properties) - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- TaggerConfig.Mode - Enum in edu.stanford.nlp.tagger.maxent
-
- TaggerExperiments - Class in edu.stanford.nlp.tagger.maxent
-
This class represents the training samples.
- TaggerExperiments(TaggerConfig, MaxentTagger) - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerExperiments
-
This method gets feature statistics from a training file found in the TaggerConfig.
- TaggerFeature - Class in edu.stanford.nlp.tagger.maxent
-
Holds a Tagger Feature for the loglinear model.
- TaggerFeature(int, int, FeatureKey, int, TaggerExperiments) - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerFeature
-
- TaggerFeatures - Class in edu.stanford.nlp.tagger.maxent
-
This class contains POS tagger specific features.
- taggerSerializedFile - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
POS tagger model used when preTag is enabled.
- tagId() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
-
- tagIndex - Variable in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
-
- tagIndex - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- tagIndex - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- tagIndex - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
-
- tagITWList - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
The indices of this list are in the tag binned space.
- TagLabelAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TagLabelAnnotation
-
- tagPA - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Parent annotation on tags.
- tagProjection - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- TagProjection - Interface in edu.stanford.nlp.parser.lexparser
-
An interface for projecting POS tags onto a reduced
set for the dependency grammar.
- tagRBGPA - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Grand parent annotate RB to try to distinguish sentential ones and
ones in places like NP post modifier (things like 'very' are already
distinguished as their parent is ADJP).
- Tags - Class in edu.stanford.nlp.ling.tokensregex.types
-
Tags that can be added to values or annotations
- Tags(String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Tags
-
- tags - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Set of all tags as IntTaggedWord.
- Tags.TagsAnnotation - Class in edu.stanford.nlp.ling.tokensregex.types
-
- TAGS_VALUE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- TagsAnnotation() - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Tags.TagsAnnotation
-
- tagSelectivePostSplit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- tagSelectivePostSplitCutOff - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- tagSelectiveSplit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Do parent annotation on tags selectively.
- tagSelectiveSplitCutOff - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- tagSentence(List<? extends HasWord>) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Returns a new Sentence that is a copy of the given sentence with all the
words tagged with their part-of-speech.
- tagSentence(List<? extends HasWord>, boolean) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Returns a new Sentence that is a copy of the given sentence with all the
words tagged with their part-of-speech.
- tagSentence(List<? extends HasWord>, boolean) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
-
Tags the sentence s by running maxent model.
- tagSeparator - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- tagSet(Function<String, String>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Return the Set of tags used by this tagger (available after training the tagger).
- tagSet(Function<String, String>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
Return the Set of tags used by this tagger (available after training the tagger).
- tagSet(Function<String, String>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
Return the Set of tags used by this tagger (available after training the tagger).
- tagSet(Function<String, String>) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
Return the Set of tags used by this tagger (available after training the tagger).
- tagSet() - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- tagSet() - Method in class edu.stanford.nlp.tagger.maxent.TTags
-
Return the Set of tags used by this tagger (available after training the tagger).
- tagSet - Variable in class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
-
- tagString(Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- tagString(String) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Tags the input string and returns the tagged version.
- tagTokenizedString(String) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Tags the tokenized input string and returns the tagged version.
- tagWordSize - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Annotate tags for number of characters contained.
- tail(File, int, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
A Java implementation of the Unix tail functionality.
- tail(File, int) - Static method in class edu.stanford.nlp.io.IOUtils
-
- take(T[], int) - Static method in class edu.stanford.nlp.util.Iterables
-
Returns a shortened view of an iterator.
- take(Iterable<T>, int) - Static method in class edu.stanford.nlp.util.Iterables
-
Returns a shortened view of an iterator.
- takeAdaGradientStep(Classifier.Cost, double, double) - Method in class edu.stanford.nlp.parser.nndep.Classifier
-
Update classifier weights using the given training cost
information.
- takeStep(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.InefficientSGDMinimizer
-
- takeStep(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
-
- takeStep(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.SMDMinimizer
-
- takeStep(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.SQNMinimizer
-
- takeStep(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- tallyInternalNode(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
-
- tallyLeaf(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
-
- tallyLocalTree(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
-
- tallyPreTerminal(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
-
- tallyRoot(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
-
- tallyRoot(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
-
- tallyTree(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
-
- tallyTreeIterator(Iterator<Tree>, Function<Tree, Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
-
- tallyTrees(Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
-
- target - Variable in class edu.stanford.nlp.fsm.DFSATransition
-
- target() - Method in class edu.stanford.nlp.fsm.DFSATransition
-
- TEATIME - Static variable in class edu.stanford.nlp.time.SUTime
-
- TemplateHash - Class in edu.stanford.nlp.tagger.maxent
-
- TemplateHash(MaxentTagger) - Constructor for class edu.stanford.nlp.tagger.maxent.TemplateHash
-
- Temporal() - Constructor for class edu.stanford.nlp.time.SUTime.Temporal
-
- Temporal(SUTime.Temporal) - Constructor for class edu.stanford.nlp.time.SUTime.Temporal
-
- TEMPORAL_9 - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
- TEMPORAL_ACL03PCFG - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
- TEMPORAL_ALL_NP - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
- TEMPORAL_ALL_NP_AND_PP - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
- TEMPORAL_ALL_NP_EVEN_UNDER_PP - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
- TEMPORAL_ALL_NP_PP_ADVP - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
- TEMPORAL_ALL_TERMINALS - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
- TEMPORAL_ANY_TMP_PERCOLATED - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
- TEMPORAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "temporal modifier" grammatical relation.
- TEMPORAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "temporal modifier" grammatical relation.
- TEMPORAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "temporal modifier" grammatical relation.
- TEMPORAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "temporal modifier" grammatical relation.
- TEMPORAL_NONE - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
- TEMPORAL_NP_AND_PP_WITH_NP_HEAD - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
- TemporalSet() - Constructor for class edu.stanford.nlp.time.SUTime.TemporalSet
-
- TemporalSet(SUTime.TemporalSet) - Constructor for class edu.stanford.nlp.time.SUTime.TemporalSet
-
- terminateOnAverageImprovement(boolean) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- terminateOnAvgImprovement(boolean, double) - Method in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
-
- terminateOnAvgImprovement - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- terminateOnEvalImprovement(boolean) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- terminateOnEvalImprovement(boolean) - Method in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
-
- terminateOnEvalImprovement - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- terminateOnEvalImprovementNumOfEpoch - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- terminateOnMaxItr(int) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- terminateOnNumericalZero(boolean) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- terminateOnRelativeNorm(boolean) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- test(T) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
- test(MatchedExpression) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationMatchedFilter
-
- test(Tree) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer.AOverAFilter
-
Doesn't accept nodes that are A over A nodes (perhaps due to
empty removal or are EDITED nodes).
- test(Tree) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer.EmptyFilter
-
Doesn't accept nodes that only cover an empty.
- test(Dependency<G, D, N>) - Method in class edu.stanford.nlp.trees.Dependencies.DependentPuncTagRejectFilter
-
- test(Dependency<G, D, N>) - Method in class edu.stanford.nlp.trees.Dependencies.DependentPuncWordRejectFilter
-
- test(Tree) - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer.ArabicEmptyFilter
-
- test(Tree) - Method in class edu.stanford.nlp.trees.international.french.FrenchTreeNormalizer.FrenchAOverAFilter
-
Doesn't accept nodes that are A over A nodes (perhaps due to
empty removal or are EDITED nodes).
- test(Tree) - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreeNormalizer.HebrewEmptyFilter
-
- test(String) - Method in class edu.stanford.nlp.util.ArrayStringFilter
-
- test(T) - Method in class edu.stanford.nlp.util.Filters.ConjFilter
-
- test(T) - Method in class edu.stanford.nlp.util.Filters.DisjFilter
-
- test(E) - Method in class edu.stanford.nlp.util.Filters.RandomFilter
-
- test(String) - Method in class edu.stanford.nlp.util.RegexStringFilter
-
- testBatchSize - Variable in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
-
- TestClassifier - Class in edu.stanford.nlp.tagger.maxent
-
Tags data and can handle either data with gold-standard tags (computing
performance statistics) or unlabeled data.
- TestClassifier(MaxentTagger) - Constructor for class edu.stanford.nlp.tagger.maxent.TestClassifier
-
- TestClassifier(MaxentTagger, String) - Constructor for class edu.stanford.nlp.tagger.maxent.TestClassifier
-
- testConditionNumber(int) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
-
- testCoNLL(String, String) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
-
Run the parser in the modelFile on a testFile and perhaps save output.
- testDerivatives(double[], double) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
-
This function tests to make sure that the sum of the stochastic calculated gradients is equal to the
full gradient.
- testDirs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- testFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- testFileCH - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- testFileEN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- testFiles - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- testHessSamples - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- testingThreads - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
Number of threads to use at test time.
- testMemoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
You can often return the same thing for testMemoryTreebank as
for memoryTreebank
- testMemoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
returns a MemoryTreebank appropriate to the testing treebank source
- testMemoryTreebank() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
returns a MemoryTreebank appropriate to the testing treebank source
- testObjFunction - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- testOptions - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- testOptions - Variable in class edu.stanford.nlp.parser.lexparser.Options
-
Note that the TestOptions is transient.
- TestOptions - Class in edu.stanford.nlp.parser.lexparser
-
Options to the parser which affect performance only at testing (parsing)
time.
- TestOptions() - Constructor for class edu.stanford.nlp.parser.lexparser.TestOptions
-
- TestSentence - Class in edu.stanford.nlp.tagger.maxent
-
- TestSentence(MaxentTagger) - Constructor for class edu.stanford.nlp.tagger.maxent.TestSentence
-
- TestSequenceModel - Class in edu.stanford.nlp.ie.crf
-
For sequence model inference at test-time.
- TestSequenceModel(CRFCliqueTree<? extends CharSequence>) - Constructor for class edu.stanford.nlp.ie.crf.TestSequenceModel
-
- TestSequenceModel(CRFCliqueTree<? extends CharSequence>, LabelDictionary, List<? extends CoreMap>) - Constructor for class edu.stanford.nlp.ie.crf.TestSequenceModel
-
- testSumOfBatches(double[], double) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
-
This function tests to make sure that the sum of the stochastic calculated gradients is equal to the
full gradient.
- TestTagProjection - Class in edu.stanford.nlp.parser.lexparser
-
- TestTagProjection() - Constructor for class edu.stanford.nlp.parser.lexparser.TestTagProjection
-
- testVariance(double[]) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
-
- testVariance - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- text - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
Text representing the matched expression
- text - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchResult.MatchedGroupInfo
-
- text() - Method in class edu.stanford.nlp.time.Timex
-
- text - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
-
Stores the complete string passed in as the tag on construction.
- TEXT_ATTR_EQUAL_CHECKER - Static variable in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
-
- TEXT_PATTERN_EXTRACT_RULE_CREATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- TEXT_PATTERN_RULE_TYPE - Static variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- TEXT_SERIALIZATION_DELIMITER - Static variable in class edu.stanford.nlp.classify.LinearClassifier
-
- TextAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TextAnnotation
-
- textFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- textFiles - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- TextPatternExtractRuleCreator() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.TextPatternExtractRuleCreator
-
- TextTaggedFileReader - Class in edu.stanford.nlp.tagger.io
-
- TextTaggedFileReader(TaggedFileRecord) - Constructor for class edu.stanford.nlp.tagger.io.TextTaggedFileReader
-
- textToBeTransformed - Variable in class edu.stanford.nlp.process.TransformXML.SAXInterface
-
- textualSummary() - Method in class edu.stanford.nlp.trees.Treebank
-
Return various statistics about the treebank (number of sentences,
words, tag set, etc.).
- textualSummary(TreebankLanguagePack) - Method in class edu.stanford.nlp.trees.Treebank
-
Return various statistics about the treebank (number of sentences,
words, tag set, etc.).
- tf - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.RemoveGFSubcategoryStripper
-
- tf - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.SubcategoryStripper
-
- tf - Variable in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams.ArabicSubcategoryStripper
-
- tf - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishSubcategoryStripper
-
- tf - Variable in class edu.stanford.nlp.parser.lexparser.NegraPennCollinizer
-
- tf - Variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseCollinizer
-
- tfLogScale(C, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a new Counter which is the input counter with log tf scaling
- third - Variable in class edu.stanford.nlp.util.Quadruple
-
- third() - Method in class edu.stanford.nlp.util.Quadruple
-
- third - Variable in class edu.stanford.nlp.util.Triple
-
- third() - Method in class edu.stanford.nlp.util.Triple
-
- thisBatch - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
- thisFunc - Variable in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
-
- thread - Variable in class edu.stanford.nlp.util.logging.Redwood.Record
-
- thread(String, Iterable<Runnable>) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
Wrap a collection of threads (Runnables) to be logged by Redwood.
- thread(Iterable<Runnable>) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- threadAndRun(String, Iterable<Runnable>, int) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
Thread a collection of Runnables, and run them via a java Executor.
- threadAndRun(String, Iterable<Runnable>) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- threadAndRun(Iterable<Runnable>, int) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- threadAndRun(Iterable<Runnable>) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- threads - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
Multithreading gradient calculations is a bit cheaper if you reuse the threads.
- threads - Static variable in class edu.stanford.nlp.util.ArgumentParser
-
- threadSafeAddRelation(GrammaticalRelation) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
This method is meant to be called when you want to add a relation
to the values list in a thread-safe manner.
- ThreadsafeProcessor<I,O> - Interface in edu.stanford.nlp.util.concurrent
-
Objects that wish to use MulticoreWrapper for multicore support must implement
this interface.
- throwableToStackTrace(Throwable) - Static method in class edu.stanford.nlp.io.IOUtils
-
- THURSDAY - Static variable in class edu.stanford.nlp.time.SUTime
-
- tick() - Static method in class edu.stanford.nlp.util.Timing
-
Restart (static) timer.
- tick(String, PrintStream) - Static method in class edu.stanford.nlp.util.Timing
-
Print elapsed time and restart (static) timer.
- tick(String) - Static method in class edu.stanford.nlp.util.Timing
-
Print elapsed time to System.err
and restart (static) timer.
- tid() - Method in class edu.stanford.nlp.time.Timex
-
- tieOutputLayer - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- Time() - Constructor for class edu.stanford.nlp.time.SUTime.Time
-
- Time(SUTime.Time) - Constructor for class edu.stanford.nlp.time.SUTime.Time
-
- TIME - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "temporal clause" grammatical relation.
- TIME_FUTURE - Static variable in class edu.stanford.nlp.time.SUTime
-
- TIME_NONE - Static variable in class edu.stanford.nlp.time.SUTime
-
- TIME_NONE_OK - Static variable in class edu.stanford.nlp.time.SUTime
-
- TIME_NOW - Static variable in class edu.stanford.nlp.time.SUTime
-
- TIME_PAST - Static variable in class edu.stanford.nlp.time.SUTime
-
- TIME_PATTERN1 - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- TIME_POSTPOSITION - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "localizer object" grammatical relation.
- TIME_PRESENT - Static variable in class edu.stanford.nlp.time.SUTime
-
- TIME_REF - Static variable in class edu.stanford.nlp.time.SUTime
-
- TIME_REF_UNKNOWN - Static variable in class edu.stanford.nlp.time.SUTime
-
- TIME_TAG - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- TIME_UNKNOWN - Static variable in class edu.stanford.nlp.time.SUTime
-
- TIME_WORDS - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- TIME_WORDS_VALUES - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- TimeAnnotations - Class in edu.stanford.nlp.time
-
Set of common annotations for
CoreMap
s
that require classes from the time package.
- TimeAnnotations() - Constructor for class edu.stanford.nlp.time.TimeAnnotations
-
- TimeAnnotations.TimexAnnotation - Class in edu.stanford.nlp.time
-
The CoreMap key for storing a Timex annotation
- TimeAnnotations.TimexAnnotations - Class in edu.stanford.nlp.time
-
The CoreMap key for storing all Timex annotations in a document.
- TIMED - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- TimeExpression - Class in edu.stanford.nlp.time
-
Time Expression.
- TimeExpression(MatchedExpression) - Constructor for class edu.stanford.nlp.time.TimeExpression
-
- TimeExpression(Interval<Integer>, Interval<Integer>, Function<CoreMap, SUTime.Temporal>, double, double) - Constructor for class edu.stanford.nlp.time.TimeExpression
-
- TimeExpression.Annotation - Class in edu.stanford.nlp.time
-
The CoreMap key for storing a TimeExpression annotation.
- TimeExpression.ChildrenAnnotation - Class in edu.stanford.nlp.time
-
The CoreMap key for storing a nested annotations.
- TimeExpression.TimeIndexAnnotation - Class in edu.stanford.nlp.time
-
The CoreMap key for storing a SUTime.TimeIndex (for looking up Timex Id).
- TimeExpressionConverter - Static variable in class edu.stanford.nlp.time.TimeExpression
-
- TimeExpressionExtractor - Interface in edu.stanford.nlp.time
-
A TimeExpressionExtractor extracts a list of time expressions from a document annotation.
- TimeExpressionExtractorFactory - Class in edu.stanford.nlp.time
-
Factory for creating TimeExpressionExtractor.
- TimeExpressionExtractorFactory() - Constructor for class edu.stanford.nlp.time.TimeExpressionExtractorFactory
-
- TimeExpressionExtractorFactory(String) - Constructor for class edu.stanford.nlp.time.TimeExpressionExtractorFactory
-
- TimeExpressionExtractorImpl - Class in edu.stanford.nlp.time
-
Extracts time expressions.
- TimeExpressionExtractorImpl() - Constructor for class edu.stanford.nlp.time.TimeExpressionExtractorImpl
-
- TimeExpressionExtractorImpl(String, Properties) - Constructor for class edu.stanford.nlp.time.TimeExpressionExtractorImpl
-
- TimeExpressionPatterns - Interface in edu.stanford.nlp.time
-
Interface for rules/patterns for transforming
time related natural language expressions
into temporal representations.
- TimeFormatter - Class in edu.stanford.nlp.time
-
Time specific patterns and formatting
- TimeFormatter.CustomDateFormatExtractor - Class in edu.stanford.nlp.time
-
Converts time string pattern to text pattern.
- TimeFormatter.JavaDateFormatExtractor - Class in edu.stanford.nlp.time
-
- TimeFormatter.JodaDateTimeFormatExtractor - Class in edu.stanford.nlp.time
-
- TimeIndex() - Constructor for class edu.stanford.nlp.time.SUTime.TimeIndex
-
- TimeIndexAnnotation() - Constructor for class edu.stanford.nlp.time.TimeExpression.TimeIndexAnnotation
-
- timeLabel - Variable in class edu.stanford.nlp.time.SUTime.Temporal
-
- timesstamp - Variable in class edu.stanford.nlp.util.logging.Redwood.Record
-
- TimeWithRange(SUTime.TimeWithRange, SUTime.Range) - Constructor for class edu.stanford.nlp.time.SUTime.TimeWithRange
-
- TimeWithRange(SUTime.Range) - Constructor for class edu.stanford.nlp.time.SUTime.TimeWithRange
-
- timeWordLotRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- timeWordRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- Timex - Class in edu.stanford.nlp.time
-
Stores one TIMEX3 expression.
- Timex() - Constructor for class edu.stanford.nlp.time.Timex
-
- Timex(Element) - Constructor for class edu.stanford.nlp.time.Timex
-
- Timex(String) - Constructor for class edu.stanford.nlp.time.Timex
-
- Timex(String, String) - Constructor for class edu.stanford.nlp.time.Timex
-
- Timex(String, String, String, String, String, int, int) - Constructor for class edu.stanford.nlp.time.Timex
-
- Timex.Range - Class in edu.stanford.nlp.time
-
- TimexAnnotation() - Constructor for class edu.stanford.nlp.time.TimeAnnotations.TimexAnnotation
-
- TimexAnnotations() - Constructor for class edu.stanford.nlp.time.TimeAnnotations.TimexAnnotations
-
- timexDateValue(ReadableDateTime, ReadableDateTime) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- timexDateValue(ReadableDateTime, ReadableDateTime, JodaTimeUtils.ConversionOptions) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
Return the TIMEX string for the range of dates given.
- timexDurationValue(ReadablePeriod, JodaTimeUtils.ConversionOptions) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
Return the TIMEX string for the duration represented by the given period; approximately if
approximate is set to true.
- timexDurationValue(ReadablePeriod) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- timexDurationValue(ReadableDateTime, ReadableDateTime) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
Return the TIMEX string for the difference between two dates
TODO not really sure if this works...
- timexTimeValue(ReadableDateTime) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
Return the TIMEX string for the time given
- timexType() - Method in class edu.stanford.nlp.time.Timex
-
- timexVersion - Static variable in class edu.stanford.nlp.time.SUTime
-
- Timing - Class in edu.stanford.nlp.util
-
A class for measuring how long things take.
- Timing() - Constructor for class edu.stanford.nlp.util.Timing
-
Constructs new Timing object and starts the timer.
- timitDatum - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- title() - Method in interface edu.stanford.nlp.ling.Document
-
Returns title of document, or "" if the document has no title.
- tlp - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- tlp - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
- tlp - Variable in class edu.stanford.nlp.parser.nndep.Config
-
Describes language-specific properties necessary for training and
testing.
- tlp - Variable in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
-
- tlp - Variable in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
-
- tlp - Variable in class edu.stanford.nlp.trees.DependencyTreeTransformer
-
- tlp - Variable in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
-
- tlpParams - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
-
- tlpParams - Variable in class edu.stanford.nlp.parser.lexparser.Options
-
The treebank-specific parser parameters to use.
- tlPPClassName - Variable in enum edu.stanford.nlp.trees.GrammaticalStructureConversionUtils.ConverterOptions
-
- to1D(double[][]) - Method in class edu.stanford.nlp.classify.AdaptedGaussianPriorObjectiveFunction
-
- to1D(float[][]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
-
- to1D(double[][], double[]) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- to1D(double[][], int) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- to1D(double[][]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- to2D(double[]) - Method in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
-
- to2D(double[]) - Method in class edu.stanford.nlp.classify.GeneralizedExpectationObjectiveFunction
-
- to2D(double[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- to2D(double[], List<Index<CRFLabel>>, int[]) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- to2D(float[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
-
- to2D(double[], List<Index<CRFLabel>>, int[]) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
Takes a double array of weights and creates a 2D array where:
the first element is the mapped index of the clique size (e.g., node-0, edge-1) matching featuresIndex i
the second element is the number of output classes for that clique size
- to2D(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- to2D(double[], List<Index<CRFLabel>>, int[], double[][]) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
Takes a double array of weights and populates a 2D array where:
the first element is the mapped index of the clique size (e.g., node-0, edge-1) matching featuresIndex i
the second element is the number of output classes for that clique size
- to2D(double[], double[][]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- to2D(double[], List<Index<CRFLabel>>, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
-
- to2D(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
-
- to2D(double[], int) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- to2D(double[], int, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- to2Dfloat(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- TO_INTERVAL - Static variable in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
- toAllWeightsString() - Method in class edu.stanford.nlp.classify.LinearClassifier
-
- toArray(int) - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
- toArray(List<Integer>) - Static method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
-
- toArray() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
-
- toArray(T[]) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
-
- toArray() - Method in class edu.stanford.nlp.objectbank.ObjectBank
-
- toArray(T[]) - Method in class edu.stanford.nlp.objectbank.ObjectBank
-
Can be slow.
- toArray() - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
- toArray(T[]) - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
- toAscii(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
- toBasicSequenceMatchResult() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- toBasicSequenceMatchResult() - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
Returns a copy of the current match results.
- toBasicSequenceMatchResult() - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
- toBiggestValuesFirstString(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- toBiggestValuesFirstString(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
-
- toBiggestValuesFirstString(Counter<Integer>, int, Index<T>) - Static method in class edu.stanford.nlp.stats.Counters
-
- toBiggestWeightFeaturesString(boolean, int, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Return a String that prints features with large weights.
- toBinaryString(byte[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- toCompactString() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- toCompactString(boolean) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- toComparator(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a comparator backed by this counter: two objects are compared by
their associated values stored in the counter.
- toComparator(Counter<E>, boolean, boolean) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a comparator suitable for sorting this Counter's keys or entries by
their respective value or magnitude (by absolute value).
- toComparatorDescending(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a comparator backed by this counter: two objects are compared by
their associated values stored in the counter.
- toComparatorWithKeys(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a comparator backed by this counter: two objects are compared by
their associated values stored in the counter.
- toContinue(double[], double) - Method in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
-
- toCopyIndex() - Method in class edu.stanford.nlp.ling.IndexedWord
-
- toCoreKey(String) - Static method in class edu.stanford.nlp.ling.AnnotationLookup
-
Returns a CoreAnnotation class key for the given string
key if one exists; null otherwise.
- toCoreLabelList(String...) - Static method in class edu.stanford.nlp.ling.SentenceUtils
-
Create a sentence as a List of CoreLabel
objects from
an array (or varargs) of String objects.
- toCoreLabelList(List<? extends HasWord>) - Static method in class edu.stanford.nlp.ling.SentenceUtils
-
Create a sentence as a List of CoreLabel
objects from
a List of other label objects.
- toCounter(double[], Index<T>) - Static method in class edu.stanford.nlp.stats.Counters
-
- toCounter(Map<Integer, ? extends Number>, Index<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Turns the given map and index into a counter instance.
- toCSVString(NumberFormat) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- toCSVString(NumberFormat) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- toCSVString(NumberFormat) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- toCSVString(TwoDimensionalIntCounter<CK1, CK2>, NumberFormat, Comparator<CK1>, Comparator<CK2>) - Static method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- toCSVString(String[]) - Static method in class edu.stanford.nlp.util.StringUtils
-
- TODAY - Static variable in class edu.stanford.nlp.time.SUTime
-
- toDescendingMagnitudeSortedListWithCounts(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- toDistributionString(int) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Similar to histogram but exact values of the weights
to see whether there are many equal weights.
- toDotFormat() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns an unnamed dot format digraph.
- toDotFormat(String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns a dot format digraph with the given name.
- toDotFormat(String, CoreLabel.OutputFormat) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- toDouble(float[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
Casts to a double array
- toDouble(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
Casts to a double array.
- toDoubleArray(String[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- toEnUncollapsedSentenceString() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Similar to toRecoveredString
, but will fill in words that were
collapsed into relations (i.e.
- toExclusive() - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
-
Convert an end-inclusive span to an end-exclusive span.
- toExtraDepsString(HashMap<String, String>) - Static method in class edu.stanford.nlp.trees.ud.CoNLLUUtils
-
Converts an extra dependencies hash map to a string to be used
in a CoNLL-U file.
- toFeatureString(HashMap<String, String>) - Static method in class edu.stanford.nlp.trees.ud.CoNLLUUtils
-
Converts a feature HashMap to a feature string to be used
in a CoNLL-U file.
- toFlatTree(List<HasWord>) - Static method in class edu.stanford.nlp.trees.Trees
-
Turns a sentence into a flat phrasal tree.
- toFlatTree(List<? extends HasWord>, LabelFactory) - Static method in class edu.stanford.nlp.trees.Trees
-
Turns a sentence into a flat phrasal tree.
- toFormattedString() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns a String
representation of this semantic graph,
formatted by the default semantic graph formatter.
- toFormattedString(SemanticGraphFormatter) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns a String
representation of this semantic graph,
formatted by the supplied semantic graph formatter.
- toFormattedString(int) - Method in class edu.stanford.nlp.time.JollyDayHolidays.JollyHoliday
-
- toFormattedString(int) - Method in class edu.stanford.nlp.time.SUTime.Duration
-
- toFormattedString(int) - Method in class edu.stanford.nlp.time.SUTime.DurationRange
-
- toFormattedString(int) - Method in class edu.stanford.nlp.time.SUTime.ExplicitTemporalSet
-
- toFormattedString(int) - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
-
- toFormattedString(int) - Method in class edu.stanford.nlp.time.SUTime.InexactDuration
-
- toFormattedString(int) - Method in class edu.stanford.nlp.time.SUTime.InexactTime
-
- toFormattedString(int) - Method in class edu.stanford.nlp.time.SUTime.OrdinalTime
-
- toFormattedString(int) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- toFormattedString(int) - Method in class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
-
- toFormattedString(int) - Method in class edu.stanford.nlp.time.SUTime.Range
-
- toFormattedString(int) - Method in class edu.stanford.nlp.time.SUTime.RefTime
-
- toFormattedString(int) - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
-
- toFormattedString(int) - Method in class edu.stanford.nlp.time.SUTime.SimpleTime
-
- toFormattedString(int) - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- toFormattedString(int) - Method in class edu.stanford.nlp.time.SUTime.TimeWithRange
-
- toHistogramString() - Method in class edu.stanford.nlp.classify.LinearClassifier
-
- toInclusive() - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
-
Convert an end-exclusive span to an end-inclusive span.
- toInterval(E, E) - Static method in class edu.stanford.nlp.util.FuzzyInterval
-
- toInterval(E, E, int) - Static method in class edu.stanford.nlp.util.FuzzyInterval
-
- toInterval(E, E) - Static method in class edu.stanford.nlp.util.Interval
-
Create an interval with the specified endpoints in the specified order.
- toInterval(E, E, int) - Static method in class edu.stanford.nlp.util.Interval
-
Create an interval with the specified endpoints in the specified order,
using the specified flags.
- toISOString() - Method in class edu.stanford.nlp.time.JollyDayHolidays.JollyHoliday
-
- toISOString() - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- token - Variable in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
Current token.
- TOKEN_LINE - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
-
- TOKEN_PATTERN_EXTRACT_RULE_CREATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- TOKEN_PATTERN_RULE_TYPE - Static variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- token_source - Variable in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
Generated Token Manager.
- TOKEN_STRING_SPLIT_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- TokenBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TokenBeginAnnotation
-
- TokenEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TokenEndAnnotation
-
- tokenFactory - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- tokenFactoryArgs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- tokenImage - Variable in exception edu.stanford.nlp.ling.tokensregex.parser.ParseException
-
This is a reference to the "tokenImage" array of the generated
parser within which the parse error occurred.
- tokenImage - Variable in exception edu.stanford.nlp.semgraph.semgrex.ParseException
-
This is a reference to the "tokenImage" array of the generated
parser within which the parse error occurred.
- tokenImage - Variable in exception edu.stanford.nlp.trees.tregex.ParseException
-
This is a reference to the "tokenImage" array of the generated
parser within which the parse error occurred.
- tokenImage - Variable in exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException
-
This is a reference to the "tokenImage" array of the generated
parser within which the parse error occurred.
- tokenize() - Method in class edu.stanford.nlp.process.AbstractTokenizer
-
Returns text as a List of tokens.
- tokenize() - Method in interface edu.stanford.nlp.process.Tokenizer
-
Returns all tokens of this Tokenizer as a List for convenience.
- TOKENIZE - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- tokenizer - Variable in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- Tokenizer<T> - Interface in edu.stanford.nlp.process
-
Tokenizers break up text into individual Objects.
- TOKENIZER_FACTORY - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- TOKENIZER_OPTIONS - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- TokenizerAdapter - Class in edu.stanford.nlp.process
-
This class adapts between a java.io.StreamTokenizer
and a edu.stanford.nlp.process.Tokenizer
.
- TokenizerAdapter(StreamTokenizer) - Constructor for class edu.stanford.nlp.process.TokenizerAdapter
-
Create a new TokenizerAdaptor
.
- TokenizerFactory<T> - Interface in edu.stanford.nlp.process
-
A TokenizerFactory is a factory that can build a Tokenizer (an extension of Iterator)
from a java.io.Reader.
- tokenizerFactory - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- tokenizerOptions - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- tokenizeText(Reader) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Reads data from r, tokenizes it with the default (Penn Treebank)
tokenizer, and returns a List of Sentence objects, which can
then be fed into tagSentence.
- tokenizeText(Reader, TokenizerFactory<? extends HasWord>) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Reads data from r, tokenizes it with the given tokenizer, and
returns a List of Lists of (extends) HasWord objects, which can then be
fed into tagSentence.
- tokenLines - Variable in class edu.stanford.nlp.pipeline.CoNLLUReader.CoNLLUSentence
-
- TokenList(List<CoreLabel>) - Constructor for class edu.stanford.nlp.ling.tokensregex.PhraseTable.TokenList
-
- TokenList(List<? extends CoreMap>, Class) - Constructor for class edu.stanford.nlp.ling.tokensregex.PhraseTable.TokenList
-
- tokenOffsets - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
Token offsets (relative to original text tokenization)
- TokenPatternExtractRuleCreator() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.TokenPatternExtractRuleCreator
-
- TOKENS_MATCH_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- TOKENS_REPLACE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- tokensAggregator - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- TokensAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TokensAnnotation
-
- tokensAnnotationClassName - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- tokensAnnotationField - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- tokensAnnotationField - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
- tokensCorrect - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- tokensCount - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- TokenSequenceMatcher - Class in edu.stanford.nlp.ling.tokensregex
-
Token Sequence Matcher for regular expressions over sequences of tokens.
- TokenSequenceMatcher(SequencePattern<CoreMap>, List<? extends CoreMap>) - Constructor for class edu.stanford.nlp.ling.tokensregex.TokenSequenceMatcher
-
- TokenSequenceParseException - Exception in edu.stanford.nlp.ling.tokensregex.parser
-
Created by sonalg on 2/5/15.
- TokenSequenceParseException() - Constructor for exception edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParseException
-
- TokenSequenceParseException(String) - Constructor for exception edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParseException
-
- TokenSequenceParseException(String, Throwable) - Constructor for exception edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParseException
-
- TokenSequenceParser - Class in edu.stanford.nlp.ling.tokensregex.parser
-
- TokenSequenceParser() - Constructor for class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- TokenSequenceParser(InputStream) - Constructor for class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
Constructor with InputStream.
- TokenSequenceParser(InputStream, String) - Constructor for class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
Constructor with InputStream and supplied encoding
- TokenSequenceParser(Reader) - Constructor for class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
Constructor.
- TokenSequenceParser(TokenSequenceParserTokenManager) - Constructor for class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
Constructor with generated Token Manager.
- TokenSequencePattern - Class in edu.stanford.nlp.ling.tokensregex
-
Token Sequence Pattern for regular expressions over sequences of tokens (each represented as a CoreMap
).
- TokenSequencePattern(String, SequencePattern.PatternExpr) - Constructor for class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
-
- TokenSequencePattern(String, SequencePattern.PatternExpr, SequenceMatchAction<CoreMap>) - Constructor for class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
-
- tokensResultAnnotationField - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- tokensResultAnnotationField - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
Annotation field(s) on individual tokens to put new annotation
- tolerance - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- toLexicalEntry(Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- toList() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns a String representation of this graph as a list of typed
dependencies, as exemplified by the following:
- toList() - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- toList(Iterable<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Create a list out of the items in the Iterable.
- toMap() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
Cast this multi-graph as a map from vertices, to the outgoing data along edges out of those vertices.
- toMatrix(List<K1>, List<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
Given an ordering of the first (row) and second (column) keys, will produce
a double matrix.
- toMatrix(List<K1>, List<K2>) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
Given an ordering of the first (row) and second (column) keys, will produce
a double matrix.
- toMatrix(List<K1>, List<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
Given an ordering of the first (row) and second (column) keys, will produce a double matrix.
- toMatrixString(int) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- toMatrixString(int, NumberFormat) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- toMatrixString(int) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- toMatrixString(int) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- toMilliSecondsString(long) - Static method in class edu.stanford.nlp.util.Timing
-
Format with one decimal place elapsed milliseconds.
- TOMORROW - Static variable in class edu.stanford.nlp.time.SUTime
-
- TONIGHT - Static variable in class edu.stanford.nlp.time.SUTime
-
- toNonLogString() - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
- toNormalizedWordList(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- toOneLineString() - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Returns a String
representation of this node and
its subtree as a one-line parenthesized list.
- TOP_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "topic" grammatical relation.
- topFeaturesToString(List<Triple<F, L, Double>>) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Returns string representation of a list of top features
- TopicAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TopicAnnotation
-
- topKeys(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
-
- topKeysWithCounts(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
-
- topLevelKeySet() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
Returns the set of elements that occur in the 0th position of a
List
key in the GeneralizedCounter.
- topologicalSort() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
Topological sort of the graph.
- topologicalSort() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- toPOSList() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Similar to toList(), but uses POS tags instead of word and index.
- toPrettyString() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
-
Returns a String
representation of this
GrammaticalRelation
and the hierarchy below
it, with one node per line, indented according to level.
- toPrettyString(int) - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Returns a String
representation of this node and
its subtree with one node per line, indented according to
indentLevel
.
- toPrimes() - Method in class edu.stanford.nlp.ling.IndexedWord
-
- toPrimitive(Long[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- toPrimitive(Integer[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- toPrimitive(Short[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- toPrimitive(Character[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- toPrimitive(Double[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- toPrimitive(Long[], long) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- toPrimitive(Integer[], int) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- toPrimitive(Short[], short) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- toPrimitive(Character[], char) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- toPrimitive(Double[], double) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- toPriorityQueue(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a
PriorityQueue
whose elements are
the keys of Counter c, and the score of each key in c becomes its priority.
- toProbString() - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
- toProbString() - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
-
- topWeights() - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- toQaSrlString(CoreMap) - Method in class edu.stanford.nlp.ie.util.RelationTriple
-
Print in the format expected by Gabriel Stanovsky and Ido Dagan, Creating a Large Benchmark for Open
Information Extraction, EMNLP 2016.
- toRankCounter(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Converts a counter to ranks; ranks start from 0
- toRecoveredSentenceString() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- toRecoveredSentenceStringWithIndexMarking() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- toRelFlags(int, int) - Static method in class edu.stanford.nlp.util.Interval
-
- toReverbString(String, CoreMap) - Method in class edu.stanford.nlp.ie.util.RelationTriple
-
Print a description of this triple, formatted like the ReVerb outputs.
- toSecondsString() - Method in class edu.stanford.nlp.util.Timing
-
Returns the number of seconds passed since the timer started in the form "d.d".
- toSecondsString(long) - Static method in class edu.stanford.nlp.util.Timing
-
Format with one decimal place elapsed milliseconds in seconds.
- toSentenceString(List<?>) - Method in class edu.stanford.nlp.trees.Constituent
-
Print out as a string the subpart of a sentence covered
by this Constituent
.
- toSet(Iterable<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Create a set out of the items in the Iterable.
- toShorterString(String...) - Method in class edu.stanford.nlp.util.ArrayCoreMap
-
Attempt to provide a briefer and more human readable String for the contents of
a CoreMap.
- toShorterString(String...) - Method in interface edu.stanford.nlp.util.CoreMap
-
Attempt to provide a briefer and more human readable String for the contents of
a CoreMap.
- toShortString(String...) - Method in class edu.stanford.nlp.util.ArrayCoreMap
-
This gives a very short String representation of a CoreMap
by leaving it to the content to reveal what field is being printed.
- toShortString(char, String...) - Method in class edu.stanford.nlp.util.ArrayCoreMap
-
This gives a very short String representation of a CoreMap
by leaving it to the content to reveal what field is being printed.
- toSortedByKeysString(Counter<T>, String, String, String) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a string representation of a Counter, where (key, value) pairs are
sorted by key, and formatted as specified.
- toSortedList(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
A List of the keys in c, sorted from highest count to lowest.
- toSortedList(Counter<E>, boolean) - Static method in class edu.stanford.nlp.stats.Counters
-
A List of the keys in c, sorted from highest count to lowest.
- toSortedList() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
- toSortedList() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
- toSortedList() - Method in interface edu.stanford.nlp.util.PriorityQueue
-
- toSortedListKeyComparable(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
A List of the keys in c, sorted from highest count to lowest.
- toSortedListWithCounts(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
A List of the keys in c, sorted from highest count to lowest, paired with
counts
- toSortedListWithCounts(Counter<E>, Comparator<Pair<E, Double>>) - Static method in class edu.stanford.nlp.stats.Counters
-
A List of the keys in c, sorted by the given comparator, paired with
counts.
- toSortedString(Counter<T>, int, String, String, String) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a string representation of a Counter, displaying the keys and their
counts in decreasing order of count.
- toSortedString(Counter<T>, int, String, String) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a string representation of a Counter, displaying the keys and their
counts in decreasing order of count.
- toString() - Method in class edu.stanford.nlp.classify.Dataset
-
- toString() - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Print out a partial representation of a linear classifier.
- toString(String, int) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Print out a partial representation of a linear classifier in one of
several ways.
- toString() - Method in class edu.stanford.nlp.classify.RVFDataset
-
- toString() - Method in class edu.stanford.nlp.fsm.DFSAState
-
- toString() - Method in class edu.stanford.nlp.fsm.DFSATransition
-
- toString() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- toString() - Method in class edu.stanford.nlp.ie.crf.CRFDatum
-
Returns a String representation of this BasicDatum (lists features and labels).
- toString(Index<E>) - Method in class edu.stanford.nlp.ie.crf.CRFLabel
-
- toString() - Method in class edu.stanford.nlp.ie.crf.CRFLabel
-
- toString(Index<L>) - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
- toString() - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
- toString(Index<?>) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
-
- toString() - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
-
- toString() - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
-
- toString(int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
-
- toString() - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
-
- toString() - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
- toString() - Method in class edu.stanford.nlp.ie.util.RelationTriple
-
Print a human-readable description of this relation triple, as a tab-separated line.
- toString() - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
-
values() returns the values in the order in which they are declared.
- toString() - Method in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
-
- toString() - Method in class edu.stanford.nlp.io.NumberRangesFileFilter
-
- toString() - Method in class edu.stanford.nlp.io.StringOutputStream
-
- toString() - Method in class edu.stanford.nlp.ling.BasicDatum
-
Returns a String representation of this BasicDatum (lists features and labels).
- toString() - Method in class edu.stanford.nlp.ling.CategoryWordTag
-
Returns a String
representation of the label.
- toString(String) - Method in class edu.stanford.nlp.ling.CategoryWordTag
-
Returns a String
representation of the label.
- toString() - Method in class edu.stanford.nlp.ling.CoreLabel
-
- toString(CoreLabel.OutputFormat) - Method in class edu.stanford.nlp.ling.CoreLabel
-
Returns a formatted string representing this label.
- toString() - Method in class edu.stanford.nlp.ling.IndexedWord
-
Returns the value-tag of this label.
- toString(CoreLabel.OutputFormat) - Method in class edu.stanford.nlp.ling.IndexedWord
-
Allows choices of how to format Label.
- toString() - Method in interface edu.stanford.nlp.ling.Label
-
Return a String representation of the label.
- toString() - Method in class edu.stanford.nlp.ling.LabeledWord
-
- toString(String) - Method in class edu.stanford.nlp.ling.LabeledWord
-
- toString() - Method in class edu.stanford.nlp.ling.MultiTokenTag
-
- toString() - Method in class edu.stanford.nlp.ling.RVFDatum
-
Returns a String representation of this BasicDatum (lists features and
labels).
- toString() - Method in class edu.stanford.nlp.ling.StringLabel
-
- toString() - Method in class edu.stanford.nlp.ling.TaggedWord
-
- toString(String) - Method in class edu.stanford.nlp.ling.TaggedWord
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult.MatchedGroup
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.NilAnnotationPattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.NotNilAnnotationPattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.NumericAnnotationPattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.SequenceRegexPattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.StringAnnotationPattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.StringAnnotationRegexPattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.StringInSetAnnotationPattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionNodePattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.MultiCoreMapNodePattern.StringSequenceAnnotationPattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern.AnyNodePattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern.ConjNodePattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern.DisjNodePattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern.EqualsNodePattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern.NegateNodePattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.Phrase
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseMatch
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.StringList
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.TokenList
-
- toString(PhraseTable.WordList) - Static method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.ListExtractRule
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.AndPatternExpr
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.BackRefPatternExpr
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.GroupPatternExpr
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.MultiNodePatternExpr
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.NodePatternExpr
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.OrPatternExpr
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.RepeatPatternExpr
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequencePatternExpr
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SpecialNodePatternExpr
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
-
Returns a String representation of the TokenSequencePattern.
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.FunctionCallExpression
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.MethodCallExpression
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleExpression
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleValue
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NamedValueFunction
-
- toString() - Method in class edu.stanford.nlp.ling.ValueLabel
-
Return a string representation of the label.
- toString() - Method in class edu.stanford.nlp.ling.WordLemmaTag
-
Return a String representation of the Label.
- toString(String) - Method in class edu.stanford.nlp.ling.WordLemmaTag
-
- toString() - Method in class edu.stanford.nlp.ling.WordTag
-
Return a String representation of the label.
- toString(String) - Method in class edu.stanford.nlp.ling.WordTag
-
- toString(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- toString(double[], NumberFormat) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- toString(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- toString(float[], NumberFormat) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- toString(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- toString(int[], NumberFormat) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- toString(byte[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- toString(byte[], NumberFormat) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- toString(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- toString(int[][], Object[], Object[], int, int, NumberFormat, boolean) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- toString(double[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- toString(double[][], int, Object[], Object[], NumberFormat, boolean) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- toString(double[][], int, Object[], Object[], int, NumberFormat, boolean, boolean, Object) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- toString(float[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- toString(float[][], int, Object[], Object[], NumberFormat, boolean) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- toString() - Method in class edu.stanford.nlp.math.DoubleAD
-
- toString() - Method in class edu.stanford.nlp.optimization.CmdEvaluator
-
- toString() - Method in class edu.stanford.nlp.optimization.MemoryEvaluator
-
- toString() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.AnnotatePunctuationFunction
-
- toString() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
-
- toString() - Method in class edu.stanford.nlp.parser.lexparser.IntDependency
-
- toString(Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.IntDependency
-
- toString() - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- toString(Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- toString(String, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- toString() - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
- toString() - Method in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
-
- toString() - Method in class edu.stanford.nlp.parser.lexparser.TestOptions
-
- toString() - Method in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- toString() - Method in class edu.stanford.nlp.parser.lexparser.TreeCollinizer
-
- toString() - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.AnnotateHeadFunction
-
- toString() - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.SimpleStringFunction
-
- toString() - Method in class edu.stanford.nlp.pipeline.Annotation
-
The basic toString() method of an Annotation simply
prints out the text over which any annotations have
been made (TextAnnotation).
- toString() - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier.LabelTagType
-
- toString() - Method in class edu.stanford.nlp.process.Americanize
-
- toString() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Recursive depth first traversal.
- toString(CoreLabel.OutputFormat) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- toString(SemanticGraph.OutputFormat) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns a String representation of the result of this set of typed
dependencies in a user-specified format.
- toString() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
-
- toString() - Method in class edu.stanford.nlp.semgraph.semgrex.Alignment
-
- toString(String) - Method in class edu.stanford.nlp.semgraph.semgrex.Alignment
-
- toString() - Method in class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
-
- toString(boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
-
- toString() - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
-
- toString(boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
-
- toString(boolean, boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
-
- toString() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
-
- toString() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
The goal is to return a string which will be compiled to the same pattern
- toString(boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
- toString() - Method in class edu.stanford.nlp.sequences.Clique
-
- toString() - Method in class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
-
- toString() - Method in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
Print the properties specified by this object.
- toString() - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Returns a String representation of the Counter, as formatted by
the underlying Map.
- toString(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a string representation which includes no more than the
maxKeysToPrint elements with largest counts.
- toString(Counter<E>, NumberFormat) - Static method in class edu.stanford.nlp.stats.Counters
-
- toString(Counter<E>, NumberFormat, String, String, String, String) - Static method in class edu.stanford.nlp.stats.Counters
-
Pretty print a Counter.
- toString(NumberFormat) - Method in class edu.stanford.nlp.stats.Distribution
-
- toString() - Method in class edu.stanford.nlp.stats.Distribution
-
- toString() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
- toString(String) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
- toString() - Method in class edu.stanford.nlp.stats.IntCounter
-
- toString(NumberFormat, String, String, String, String) - Method in class edu.stanford.nlp.stats.IntCounter
-
- toString(NumberFormat) - Method in class edu.stanford.nlp.stats.IntCounter
-
- toString() - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
-
- toString() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
A simple String representation of this TwoDimensionalCounter, which has the
String representation of each key pair on a separate line, followed by the
count for that pair.
- toString() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
A simple String representation of this TwoDimensionalCounter, which has
the String representation of each key pair
on a separate line, followed by the count for that pair.
- toString() - Method in class edu.stanford.nlp.tagger.io.TaggedFileRecord
-
- toString() - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClass
-
- toString() - Method in class edu.stanford.nlp.tagger.maxent.Extractor
-
- toString() - Method in class edu.stanford.nlp.tagger.maxent.ExtractorDistsimConjunction
-
- toString() - Method in class edu.stanford.nlp.tagger.maxent.Extractors
-
- toString() - Method in class edu.stanford.nlp.tagger.maxent.ExtractorVerbalVBNZero
-
- toString() - Method in class edu.stanford.nlp.tagger.maxent.FeatureKey
-
- toString() - Method in class edu.stanford.nlp.tagger.maxent.History
-
- toString() - Method in class edu.stanford.nlp.tagger.maxent.PairsHolder
-
- toString() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- toString() - Method in class edu.stanford.nlp.tagger.maxent.TTags
-
- toString() - Method in class edu.stanford.nlp.time.SUTime.IsoDate
-
- toString() - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- toString() - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- toString() - Method in class edu.stanford.nlp.time.Timex
-
- toString() - Method in class edu.stanford.nlp.trees.CompositeTreeTransformer
-
- toString() - Method in class edu.stanford.nlp.trees.Constituent
-
Return a string representation of a Constituent
.
- toString(String) - Method in interface edu.stanford.nlp.trees.Dependency
-
Provide different printing options via a String keyword.
- toString() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
-
Returns short name (abbreviation) for this
GrammaticalRelation
.
- toString() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
- toString() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
-
- toString() - Method in class edu.stanford.nlp.trees.international.negra.NegraLabel
-
- toString() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
- toString() - Method in class edu.stanford.nlp.trees.NamedDependency
-
- toString(String) - Method in class edu.stanford.nlp.trees.NamedDependency
-
Provide different printing options via a String keyword.
- toString() - Method in class edu.stanford.nlp.trees.Tree
-
Converts parse tree to string in Penn Treebank format.
- toString() - Method in class edu.stanford.nlp.trees.Treebank
-
Return the whole treebank as a series of big bracketed lists.
- toString() - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
- toString(CoreLabel.OutputFormat) - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
- toString() - Method in class edu.stanford.nlp.trees.tregex.DescriptionPattern
-
- toString() - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
-
- toString() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.AuxiliaryTree
-
- toString() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonPattern
-
- toString() - Method in class edu.stanford.nlp.trees.TypedDependency
-
- toString(CoreLabel.OutputFormat) - Method in class edu.stanford.nlp.trees.TypedDependency
-
- toString() - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
-
- toString(String) - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
-
Provide different printing options via a String keyword.
- toString() - Method in class edu.stanford.nlp.trees.UnnamedDependency
-
- toString(String) - Method in class edu.stanford.nlp.trees.UnnamedDependency
-
Provide different printing options via a String keyword.
- toString() - Method in class edu.stanford.nlp.util.ArrayCoreMap
-
Prints a full dump of a CoreMap.
- toString() - Method in class edu.stanford.nlp.util.ArrayHeap
-
Prints the array entries in sorted comparator order.
- toString() - Method in class edu.stanford.nlp.util.ArrayStringFilter
-
- toString(int[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- toString(double[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- toString(boolean[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- toString(double[], String) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- toString() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
- toString(int) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
Returns a representation of the queue in decreasing priority order,
displaying at most maxKeysToPrint elements.
- toString() - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
- toString() - Method in class edu.stanford.nlp.util.concurrent.MulticoreWrapper
-
Return status information about the underlying threadpool.
- toString() - Method in class edu.stanford.nlp.util.ConfusionMatrix.Contingency
-
- toString() - Method in class edu.stanford.nlp.util.ConfusionMatrix
-
- toString() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
Returns a representation of the queue in decreasing priority order.
- toString(int) - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
Returns a representation of the queue in decreasing priority order,
displaying at most maxKeysToPrint elements.
- toString(int, String) - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
Returns a representation of the queue in decreasing priority order,
displaying at most maxKeysToPrint elements.
- toString() - Method in class edu.stanford.nlp.util.HashIndex
-
Returns a readable version of the Index contents
- toString(int) - Method in class edu.stanford.nlp.util.HashIndex
-
Returns a readable version of at least part of the Index contents.
- toString() - Method in class edu.stanford.nlp.util.IntervalTree
-
- toString() - Method in class edu.stanford.nlp.util.IntTuple
-
- toString(Iterable<E>, String) - Static method in class edu.stanford.nlp.util.Iterables
-
Returns a string representation of the contents of calling toString
on each element of the given iterable, joining the elements together
with the given glue.
- toString() - Method in class edu.stanford.nlp.util.logging.Redwood.Record
-
- toString() - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
-
- toString(Map<T, V>, String, String, String, String) - Static method in class edu.stanford.nlp.util.Maps
-
Pretty print a Counter.
- toString() - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
- toString() - Method in class edu.stanford.nlp.util.MemoryMonitor
-
- toString() - Method in class edu.stanford.nlp.util.MetaClass.ClassFactory
-
- toString() - Method in class edu.stanford.nlp.util.MetaClass
-
- toString() - Method in class edu.stanford.nlp.util.MutableDouble
-
- toString() - Method in class edu.stanford.nlp.util.MutableInteger
-
- toString() - Method in class edu.stanford.nlp.util.PaddedList
-
- toString() - Method in class edu.stanford.nlp.util.Pair
-
- toString(int) - Method in interface edu.stanford.nlp.util.PriorityQueue
-
Returns a representation of the queue in decreasing priority order,
displaying at most maxKeysToPrint elements.
- toString() - Method in class edu.stanford.nlp.util.Quadruple
-
- toString() - Method in class edu.stanford.nlp.util.ScoredComparator
-
- toString() - Method in class edu.stanford.nlp.util.ScoredObject
-
- toString(List<CoreLabel>) - Static method in class edu.stanford.nlp.util.StringUtils
-
Convert a list of labels into a string, by simply joining them with spaces.
- toString(CoreMap) - Static method in class edu.stanford.nlp.util.StringUtils
-
Convert a CoreMap representing a sentence into a string, by simply joining them with spaces.
- toString() - Method in class edu.stanford.nlp.util.Timing
-
- toString() - Method in class edu.stanford.nlp.util.Triple
-
- toString() - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
- toString() - Method in class edu.stanford.nlp.util.TwoDimensionalMap.Entry
-
- toString() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- toString() - Method in class edu.stanford.nlp.util.XMLUtils.XMLTag
-
- toStringArr(int[]) - Static method in class edu.stanford.nlp.stats.AccuracyStats
-
- toStringBuilder(StringBuilder) - Method in class edu.stanford.nlp.trees.Tree
-
Appends the printed form of a parse tree (as a bracketed String)
to a StringBuilder
.
- toStringBuilder(StringBuilder, Function<Label, String>) - Method in class edu.stanford.nlp.trees.Tree
-
Appends the printed form of a parse tree (as a bracketed String)
to a StringBuilder
.
- toStringOneEntryPerLine() - Method in class edu.stanford.nlp.util.HashIndex
-
- toStringOneEntryPerLine(int) - Method in class edu.stanford.nlp.util.HashIndex
-
- toStringSorted(Map<K, V>, StringBuilder) - Static method in class edu.stanford.nlp.util.Maps
-
Stringifies a Map in a stable fashion.
- toStringSorted(Map<K, V>) - Static method in class edu.stanford.nlp.util.Maps
-
Stringifies a Map in a stable fashion.
- toStructureDebugString(Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
Returns a String reporting what kinds of Tree and Label nodes this
Tree contains.
- toSummaryStatistics() - Method in class edu.stanford.nlp.classify.Dataset
-
A String that is multiple lines of text giving summary statistics.
- toSummaryString() - Method in class edu.stanford.nlp.classify.Dataset
-
- toSummaryString() - Method in class edu.stanford.nlp.classify.RVFDataset
-
- toTaggedList(List<String>, List<String>) - Static method in class edu.stanford.nlp.ling.SentenceUtils
-
Create an ArrayList as a list of TaggedWord
from two
lists of String
, one for the words, and the second for
the tags.
- toTaggedWord(Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- totalCount() - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Computes the total of all counts in this counter, and returns it
as a double.
- totalCount() - Method in interface edu.stanford.nlp.stats.Counter
-
Computes the total of all counts in this counter, and returns it
as a double.
- totalCount() - Method in class edu.stanford.nlp.stats.Distribution
-
- totalCount() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
returns the total count of objects in the GeneralizedCounter.
- totalCount(Predicate<E>) - Method in class edu.stanford.nlp.stats.IntCounter
-
- totalCount() - Method in class edu.stanford.nlp.stats.IntCounter
-
- totalCount() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
Takes linear time.
- totalCount(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- totalCount() - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- totalCount(K1) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- totalCount() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
Takes linear time.
- totalCount(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- totalCounts() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- totalDataSlice - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- totalDoubleCount() - Method in class edu.stanford.nlp.stats.IntCounter
-
- totalDoubleCount(Predicate<E>) - Method in class edu.stanford.nlp.stats.IntCounter
-
- totalFeatureSlice - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- totalIntCount() - Method in class edu.stanford.nlp.stats.IntCounter
-
Returns the current total count for all objects in this Counter.
- totalIntCount(Predicate<E>) - Method in class edu.stanford.nlp.stats.IntCounter
-
Returns the total count for all objects in this Counter that pass the
given Filter.
- totalMass() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- totalMass() - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
- totalMass() - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
-
- totalSize() - Method in class edu.stanford.nlp.classify.LinearClassifier
-
- toTiedRankCounter(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Converts a counter to tied ranks; ranks start from 1
- toTime(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.Duration
-
- toTime(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.Duration
-
- toTitleCase(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
- toUntaggedList(List<String>) - Static method in class edu.stanford.nlp.ling.SentenceUtils
-
Create an ArrayList as a list of Word
from a
list of String
.
- toUntaggedList(String...) - Static method in class edu.stanford.nlp.ling.SentenceUtils
-
Create a Sentence as a list of Word
objects from
an array of String objects.
- toValidInterval(E, E) - Static method in class edu.stanford.nlp.util.FuzzyInterval
-
- toValidInterval(E, E, int) - Static method in class edu.stanford.nlp.util.FuzzyInterval
-
- toValidInterval(E, E) - Static method in class edu.stanford.nlp.util.Interval
-
Create an interval with the specified endpoints, reordering them as needed
- toValidInterval(E, E, int) - Static method in class edu.stanford.nlp.util.Interval
-
Create an interval with the specified endpoints, reordering them as needed,
using the specified flags
- toVerticalString(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- toVerticalString(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
-
- toVerticalString(Counter<E>, String) - Static method in class edu.stanford.nlp.stats.Counters
-
- toVerticalString(Counter<E>, int, String) - Static method in class edu.stanford.nlp.stats.Counters
-
- toVerticalString(Counter<E>, int, String, boolean) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a
String
representation of the
k
keys
with the largest counts in the given
Counter
, using the given
format string.
- toVerticalString() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
- toVerticalString(Map<K, V>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
- toWordList(String...) - Static method in class edu.stanford.nlp.ling.SentenceUtils
-
- toWordList(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- toXmlElement() - Method in class edu.stanford.nlp.time.Timex
-
- tpCount - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
Count of true positives.
- tr(String, String, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Swap any occurrences of any characters in the from String in the input String with
the corresponding character from the to String.
- trace_enabled() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
Trace enabled.
- trackColor - Variable in class edu.stanford.nlp.util.logging.OutputHandler
-
The color to use for track beginning and ends
- trackStack - Variable in class edu.stanford.nlp.util.logging.OutputHandler
-
Information about the current and higher level tracks
- trackStyle - Variable in class edu.stanford.nlp.util.logging.OutputHandler
-
The style to use for track beginning and ends
- train() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Train the classifier based on values in flags.
- train(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- train(String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- train(String, String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- train(String[], DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- train(Collection<List<IN>>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Trains a classifier from a Collection of sequences.
- train(Collection<List<IN>>, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Trains a classifier from a Collection of sequences.
- train(Collection<List<IN>>, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.ClassifierCombiner
-
- train(Collection<List<IN>>, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Trains a classifier from a Collection of sequences.
- train(Collection<List<IN>>, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- train(Collection<List<IN>>, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.PresetSequenceClassifier
-
Trains a classifier from a Collection of sequences.
- train(Collection<List<CoreLabel>>, DocumentReaderAndWriter<CoreLabel>) - Method in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- train(Collection<List<CoreLabel>>, DocumentReaderAndWriter<CoreLabel>) - Method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
-
- train(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Trains this lexicon on the Collection of trees.
- train(Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Trains this lexicon on the Collection of trees.
- train(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- train(List<TaggedWord>, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- train(TaggedWord, int, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- train(Collection<Tree>, Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- train(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
Train this lexicon on the given set of trees.
- train(Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
Train this lexicon on the given set of trees.
- train(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
TODO: make this method do something with the weight
- train(TaggedWord, int, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- train(List<TaggedWord>, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- train(Collection<Tree>, Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- train(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- train(Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- train(Tree) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- train(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- train(List<TaggedWord>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- train(List<TaggedWord>, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- train(TaggedWord, int, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- train(Collection<Tree>, Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- train(Collection<Tree>, Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexicon
-
This method should populate wordIndex, tagIndex, and morphIndex.
- train(Collection<Tree>) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
Trains this lexicon on the Collection of trees.
- train(Collection<Tree>, double) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
- train(Collection<Tree>, Collection<Tree>) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
- train(Tree, double) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
- train(List<TaggedWord>, double) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
Not all subclasses support this particular method.
- train(TaggedWord, int, double) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
Not all subclasses support this particular method.
- train(Collection<Tree>) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
-
Tallies statistics for this particular collection of trees.
- train(Collection<Tree>, double) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
-
Tallies statistics for a weighted collection of trees.
- train(Tree, double) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
-
Tallies statistics for a single tree.
- train(TaggedWord, int, double) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
-
Tallies statistics for a single word.
- train(String, String, String, String, String) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
-
Train a new dependency parser model.
- train(String, String, String, String) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
-
- train(String, String, String) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
-
- train(String, String) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
-
- train(Collection<Tree>) - Method in interface edu.stanford.nlp.process.WordSegmenter
-
- train(Tree) - Method in interface edu.stanford.nlp.process.WordSegmenter
-
- train(List<TaggedWord>) - Method in interface edu.stanford.nlp.process.WordSegmenter
-
- trainClassifier(Collection<Datum<L, F>>) - Method in class edu.stanford.nlp.classify.AbstractLinearClassifierFactory
-
- trainClassifier(Reference<? extends Collection<Datum<L, F>>>) - Method in class edu.stanford.nlp.classify.AbstractLinearClassifierFactory
-
- trainClassifier(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.AbstractLinearClassifierFactory
-
- trainClassifier(GeneralDataset<L, F>) - Method in interface edu.stanford.nlp.classify.ClassifierFactory
-
- trainClassifier(Iterable<Datum<L, F>>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
- trainClassifier(GeneralDataset<L, F>, float[], LogPrior) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
- trainClassifier(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
- trainClassifier(GeneralDataset<L, F>, double[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
- trainClassifier(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
- trainClassifierBasic(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
- trainClassifierSemiSup(GeneralDataset<L, F>, GeneralDataset<L, F>, double[][], double[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
IMPORTANT: dataset and biasedDataset must have same featureIndex, labelIndex
- trainClassifierV(GeneralDataset<L, F>, GeneralDataset<L, F>, double, double, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
Train a classifier with a sigma tuned on a validation set.
- trainClassifierV(GeneralDataset<L, F>, double, double, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
Train a classifier with a sigma tuned on a validation set.
- trainClassifierWithInitialWeights(GeneralDataset<L, F>, double[][]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
- trainClassifierWithInitialWeights(GeneralDataset<L, F>, LinearClassifier<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
- trainDirs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- trainFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- trainFileList - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- trainFiles - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
A regex pattern for files, which will be evaluated within a particular directory.
- trainHierarchical - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- trainingIterations - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- trainingThreads - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
If the training algorithm allows for parallelization, how many
threads to use
- trainingThreads - Variable in class edu.stanford.nlp.parser.nndep.Config
-
Number of threads to use during training.
- trainLengthLimit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- trainOptions - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- trainOptions - Variable in class edu.stanford.nlp.parser.lexparser.Options
-
- TrainOptions - Class in edu.stanford.nlp.parser.lexparser
-
Non-language-specific options for training a grammar from a treebank.
- TrainOptions() - Constructor for class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- TrainOptions.TransformMatrixType - Enum in edu.stanford.nlp.parser.lexparser
-
- trainSemiSup() - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- trainSemiSupGE(GeneralDataset<L, F>, List<? extends Datum<L, F>>, List<F>, double) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
Trains the linear classifier using Generalized Expectation criteria as described in
Generalized Expectation Criteria for Semi Supervised Learning of Conditional Random Fields, Mann and McCallum, ACL 2008.
- trainSemiSupGE(GeneralDataset<L, F>, List<? extends Datum<L, F>>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
Trains the linear classifier using Generalized Expectation criteria as described in
Generalized Expectation Criteria for Semi Supervised Learning of Conditional Random Fields, Mann and McCallum, ACL 2008.
- trainSemiSupGE(GeneralDataset<L, F>, List<? extends Datum<L, F>>, double) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
- trainTestFoldsForCV(List<T>, int) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Split a list into train, test pairs for use in k-fold crossvalidation.
- trainTreeFile - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- trainUnannotated(List<TaggedWord>, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- trainUnannotated(List<TaggedWord>, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- trainUnannotated(List<TaggedWord>, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- trainUnannotated(List<TaggedWord>, double) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
Sometimes we might have a sentence of tagged words which we would
like to add to the lexicon, but they weren't part of a binarized,
markovized, or otherwise annotated tree.
- trainWeights(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.AbstractLinearClassifierFactory
-
- trainWeights(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
- trainWeights(GeneralDataset<L, F>, double[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
- trainWeights(GeneralDataset<L, F>, double[], boolean) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
- trainWeights(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.NBLinearClassifierFactory
-
- trainWeights(int[][][][], int[][], Evaluator[], int, double[][][][]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- trainWeights(int[][][][], int[][], Evaluator[], int, double[][][][]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierFloat
-
- trainWeights(int[][][][], int[][], Evaluator[], int, double[][][][]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierNonlinear
-
- trainWeights(int[][][][], int[][], Evaluator[], int, double[][][][]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierWithLOP
-
- trainWeightsSemiSup(GeneralDataset<L, F>, GeneralDataset<L, F>, double[][], double[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
- trainWithExpansion(Collection<TaggedWord>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Not yet implemented.
- trainWordVectors - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Do we want a model that uses word vectors (such as the DVParser)
to train those word vectors when training the model?
Note: models prior to 2014-02-13 may have incorrect values in
this field, as it was originally a compile time constant
- transferAnnotations(CoreLabel, CoreLabel) - Static method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
-
Transfer from src to dst all annotations generated bu SUTime and NumberNormalizer
- transferSigmas - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- transform(NodePattern<T1>) - Method in interface edu.stanford.nlp.ling.tokensregex.NodePatternTransformer
-
- transform(MultiNodePattern<T1>) - Method in interface edu.stanford.nlp.ling.tokensregex.NodePatternTransformer
-
- transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.AndPatternExpr
-
- transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.BackRefPatternExpr
-
- transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.GroupPatternExpr
-
- transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.MultiNodePatternExpr
-
- transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.NodePatternExpr
-
- transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.OrPatternExpr
-
- transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.PatternExpr
-
- transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.RepeatPatternExpr
-
- transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequencePatternExpr
-
- transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SpecialNodePatternExpr
-
- transform(NodePatternTransformer<T, T2>) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.ValuePatternExpr
-
- transform(Counter<T1>, Function<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns the counter with keys modified according to function F.
- transform(TreeTransformer) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
Return a MemoryTreebank where each
Tree in the current treebank has been transformed using the
TreeTransformer.
- transform(TreeTransformer) - Method in class edu.stanford.nlp.trees.Tree
-
Create a transformed Tree.
- transform(TreeTransformer, TreeFactory) - Method in class edu.stanford.nlp.trees.Tree
-
Create a transformed Tree.
- transform(TreeTransformer) - Method in class edu.stanford.nlp.trees.Treebank
-
Return a Treebank (actually a TransformingTreebank) where each
Tree in the current treebank has been transformed using the
TreeTransformer.
- transform(Iterable<K>, Function<? super K, ? extends V>) - Static method in class edu.stanford.nlp.util.Iterables
-
Transformed view of the given iterable.
- transform(Function<V, V2>) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
Transforms this map into a new map using the given transform function.
- transformAsList(Collection<? extends T1>, Function<T1, ? extends T2>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Transforms the keyset of collection according to the given Function and returns a list.
- transformAsSet(Collection<? extends T1>, Function<T1, ? extends T2>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Transforms the keyset of collection according to the given Function and returns a set of the keys.
- TransformingTreebank - Class in edu.stanford.nlp.trees
-
This class wraps another Treebank, and will vend trees that have been through
a TreeTransformer.
- TransformingTreebank() - Constructor for class edu.stanford.nlp.trees.TransformingTreebank
-
Create a new TransformingTreebank.
- TransformingTreebank(TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.TransformingTreebank
-
Create a new TransformingTreebank.
- TransformingTreebank(Treebank, TreeTransformer) - Constructor for class edu.stanford.nlp.trees.TransformingTreebank
-
Create a new TransformingTreebank from a base Treebank that will
transform trees with the given TreeTransformer.
- transformMatrixType - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.RemoveGFSubcategoryStripper
-
- transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.SubcategoryStripper
-
- transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
This method does language-specific tree transformations such
as annotating particular nodes with language-relevant features.
- transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams.ArabicSubcategoryStripper
-
- transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
-
- transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.BoundaryRemover
-
- transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
transformTree does all language-specific tree
transformations.
- transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.CollinsPuncTransformer
-
- transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.Debinarizer
-
- transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishSubcategoryStripper
-
- transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
This method does language-specific tree transformations such
as annotating particular nodes with language-relevant features.
- transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
-
- transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
-
- transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.NegraPennCollinizer
-
- transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
-
transformTree does all language-specific tree
transformations.
- transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotator
-
Do the category splitting of the tree passed in.
- transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
-
The tree t is normally expected to be a Penn-Treebank-style tree
in which the top node is an extra node that has a unary expansion.
- transformTree(Tree, Tree) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
This method does language-specific tree transformations such
as annotating particular nodes with language-relevant features.
- transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.TreeBinarizer
-
Binarizes the tree according to options set up in the constructor.
- transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.TreeCollinizer
-
- transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
-
This method does language-specific tree transformations such as annotating particular nodes with language-relevant
features.
- transformTree(Tree) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
-
- transformTree(Tree) - Method in class edu.stanford.nlp.trees.CompositeTreeTransformer
-
- transformTree(Tree) - Method in class edu.stanford.nlp.trees.CoordinationTransformer
-
Transforms t if it contains a coordination in a flat structure (CCtransform)
and transforms UCP (UCPtransform).
- transformTree(Tree) - Method in class edu.stanford.nlp.trees.DateTreeTransformer
-
- transformTree(Tree) - Method in class edu.stanford.nlp.trees.DependencyTreeTransformer
-
- transformTree(Tree) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseCollinizer
-
- transformTree(Tree) - Method in class edu.stanford.nlp.trees.QPTreeTransformer
-
Right now (Jan 2013) we only deal with the following QP structures:
NP (QP ...) (QP (CC and/or) ...)
QP (RB IN CD|DT ...) well over, more than
QP (JJR IN CD|DT ...) fewer than
QP (IN JJS CD|DT ...) at least
QP (...
- transformTree(Tree) - Method in class edu.stanford.nlp.trees.TreeLeafLabelTransformer
-
- transformTree(Tree) - Method in interface edu.stanford.nlp.trees.TreeTransformer
-
Does whatever one needs to do to a particular tree.
- transformTreeHelper(Tree) - Method in class edu.stanford.nlp.parser.lexparser.Debinarizer
-
- transformValues() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
This is a specialized procedure to change the values
of parses for semantic ranking.
- transformValuesInPlace(Counter<E>, DoubleUnaryOperator) - Static method in class edu.stanford.nlp.stats.Counters
-
- transformWithValuesAdd(Counter<T1>, Function<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns the counter with keys modified according to function F.
- TransformXML<T> - Class in edu.stanford.nlp.process
-
Reads XML from an input file or stream and writes XML to an output
file or stream, while transforming text appearing inside specified
XML tags by applying a specified
Function
.
- TransformXML() - Constructor for class edu.stanford.nlp.process.TransformXML
-
- transformXML(String[], Function<String, T>, File) - Method in class edu.stanford.nlp.process.TransformXML
-
Read XML from the specified file and write XML to stdout,
while transforming text appearing inside the specified XML
tags by applying the specified
Function
.
- transformXML(String[], Function<String, T>, File, File) - Method in class edu.stanford.nlp.process.TransformXML
-
Read XML from the specified file and write XML to specified file,
while transforming text appearing inside the specified XML tags
by applying the specified
Function
.
- transformXML(String[], Function<String, T>, InputStream) - Method in class edu.stanford.nlp.process.TransformXML
-
Read XML from input stream and write XML to stdout, while
transforming text appearing inside the specified XML tags by
applying the specified
Function
.
- transformXML(String[], Function<String, T>, InputStream, OutputStream) - Method in class edu.stanford.nlp.process.TransformXML
-
Read XML from input stream and write XML to output stream,
while transforming text appearing inside the specified XML tags
by applying the specified
Function
.
- transformXML(String[], Function<String, T>, InputStream, Writer) - Method in class edu.stanford.nlp.process.TransformXML
-
Read XML from input stream and write XML to output stream,
while transforming text appearing inside the specified XML tags
by applying the specified
Function
.
- transformXML(String[], Function<String, T>, InputStream, Writer, TransformXML.SAXInterface<T>) - Method in class edu.stanford.nlp.process.TransformXML
-
Calls the fully specified transformXML with an InputSource
constructed from in
.
- transformXML(String[], Function<String, T>, Reader, Writer, TransformXML.SAXInterface<T>) - Method in class edu.stanford.nlp.process.TransformXML
-
Calls the fully specified transformXML with an InputSource
constructed from in
.
- transformXML(String[], Function<String, T>, InputSource, Writer, TransformXML.SAXInterface<T>) - Method in class edu.stanford.nlp.process.TransformXML
-
Read XML from input source and write XML to output writer,
while transforming text appearing inside the specified XML tags
by applying the specified
Function
.
- TransformXML.NoEscapingSAXInterface<T> - Class in edu.stanford.nlp.process
-
This version of the SAXInterface doesn't escape the text produced
by the function.
- TransformXML.SAXInterface<T> - Class in edu.stanford.nlp.process
-
- transition(T) - Method in class edu.stanford.nlp.fsm.DFSAState
-
- transitionEdgeOnly - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- transitions() - Method in class edu.stanford.nlp.fsm.DFSAState
-
- transitions - Variable in class edu.stanford.nlp.parser.nndep.ParsingSystem
-
- translate(int) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
-
Move a span by the given amount.
- traverseLocate(Tree[], String[], boolean) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
-
Attempt to locate head daughter tree from among daughters.
- treatCollectionsAsImmutable - Variable in class edu.stanford.nlp.util.CollectionValuedMap
-
- Tree - Class in edu.stanford.nlp.trees
-
The abstract class Tree
is used to collect all of the
tree types, and acts as a generic extensible type.
- Tree() - Constructor for class edu.stanford.nlp.trees.Tree
-
- TREE_FILTER - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
-
- TREE_NORMALIZER - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
-
- TREE_RANGE - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
-
- TREE_READER - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
-
- TREE_SET_FACTORY - Static variable in class edu.stanford.nlp.util.CollectionFactory
-
- TREE_TRANSFORMER - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
-
- TreeAnnotation() - Constructor for class edu.stanford.nlp.trees.TreeCoreAnnotations.TreeAnnotation
-
- TreeAnnotator - Class in edu.stanford.nlp.parser.lexparser
-
Performs non-language specific annotation of Trees.
- TreeAnnotator(HeadFinder, TreebankLangParserParams, Options) - Constructor for class edu.stanford.nlp.parser.lexparser.TreeAnnotator
-
- TreeAnnotatorAndBinarizer - Class in edu.stanford.nlp.parser.lexparser
-
- TreeAnnotatorAndBinarizer(TreebankLangParserParams, boolean, boolean, boolean, Options) - Constructor for class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
-
- TreeAnnotatorAndBinarizer(HeadFinder, HeadFinder, TreebankLangParserParams, boolean, boolean, boolean, Options) - Constructor for class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
-
- treebank() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Implemented as required by TreebankFactory.
- treebank() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
Required to extend TreebankFactory
- Treebank - Class in edu.stanford.nlp.trees
-
A Treebank
object provides access to a corpus of examples with
given tree structures.
- Treebank() - Constructor for class edu.stanford.nlp.trees.Treebank
-
Create a new Treebank (using a LabeledScoredTreeReaderFactory).
- Treebank(TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.Treebank
-
Create a new Treebank.
- Treebank(TreeReaderFactory, String) - Constructor for class edu.stanford.nlp.trees.Treebank
-
Create a new Treebank.
- Treebank(int) - Constructor for class edu.stanford.nlp.trees.Treebank
-
Create a new Treebank.
- Treebank(int, TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.Treebank
-
Create a new Treebank.
- treebank() - Method in interface edu.stanford.nlp.trees.TreebankFactory
-
Returns a treebank instance
- TreebankAnnotator - Class in edu.stanford.nlp.parser.lexparser
-
Class for getting an annotated treebank.
- TreebankAnnotator(Options, String) - Constructor for class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
-
- TreebankFactory - Interface in edu.stanford.nlp.trees
-
An interface for treebank vendors.
- treebankFileExtension() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
-
Returns the extension of treebank files for this treebank.
- treebankFileExtension() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
-
Returns the extension of treebank files for this treebank.
- treebankFileExtension() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
-
- treebankFileExtension() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
Returns the extension of treebank files for this treebank.
- treebankFileExtension() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
Returns the extension of treebank files for this treebank.
- treebankFileExtension() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
-
Returns the extension of treebank files for this treebank.
- treebankFileExtension() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
-
Returns the extension of treebank files for this treebank.
- treebankFileExtension() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns the extension of treebank files for this treebank.
- treebankForLanguage(String) - Static method in enum edu.stanford.nlp.international.Language
-
- TreebankLangParserParams - Interface in edu.stanford.nlp.parser.lexparser
-
Contains language-specific methods commonly necessary to get a parser
to parse an arbitrary treebank.
- treebankLanguagePack() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Returns an appropriate treebankLanguagePack
- treebankLanguagePack() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
contains Treebank-specific (but not parser-specific) info such
as what is punctuation, and also information about the structure
of labels
- treebankLanguagePack() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
returns a TreebankLanguagePack containing Treebank-specific (but
not parser-specific) info such as what is punctuation, and also
information about the structure of labels
- TreebankLanguagePack - Interface in edu.stanford.nlp.trees
-
This interface specifies language/treebank specific information for a
Treebank, which a parser or other treebank user might need to know.
- TreeBinarizer - Class in edu.stanford.nlp.parser.lexparser
-
Binarizes trees, typically in such a way that head-argument structure is respected.
- TreeBinarizer(HeadFinder, TreebankLanguagePack, boolean, boolean, int, boolean, boolean, double, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.TreeBinarizer
-
Build a custom binarizer for Trees.
- TreeCollinizer - Class in edu.stanford.nlp.parser.lexparser
-
Does detransformations to a parsed sentence to map it back to the
standard treebank form for output or evaluation.
- TreeCollinizer(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.parser.lexparser.TreeCollinizer
-
- TreeCollinizer(TreebankLanguagePack, boolean, boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.TreeCollinizer
-
- TreeCollinizer(TreebankLanguagePack, boolean, boolean, int) - Constructor for class edu.stanford.nlp.parser.lexparser.TreeCollinizer
-
- TreeCoreAnnotations - Class in edu.stanford.nlp.trees
-
Set of common annotations for
CoreMap
s
that require classes from the trees package.
- TreeCoreAnnotations.BinarizedTreeAnnotation - Class in edu.stanford.nlp.trees
-
The CoreMap key for getting the binarized version of the
syntactic parse tree of a sentence.
- TreeCoreAnnotations.HeadTagLabelAnnotation - Class in edu.stanford.nlp.trees
-
The standard key for storing a head tag in the map as a pointer to
the head label.
- TreeCoreAnnotations.HeadWordLabelAnnotation - Class in edu.stanford.nlp.trees
-
The standard key for storing a head word in the map as a pointer to
the head label.
- TreeCoreAnnotations.KBestTreesAnnotation - Class in edu.stanford.nlp.trees
-
The standard key for storing a list of k-best parses.
- TreeCoreAnnotations.TreeAnnotation - Class in edu.stanford.nlp.trees
-
The CoreMap key for getting the syntactic parse tree of a sentence.
- treeFactory() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
-
Return a TreeFactory
that produces trees of the
same type as the current Tree
.
- treeFactory() - Method in class edu.stanford.nlp.trees.SimpleTree
-
Return a TreeFactory
that produces trees of the
SimpleTree
type.
- treeFactory() - Method in class edu.stanford.nlp.trees.Tree
-
Return a TreeFactory
that produces trees of the
appropriate type.
- TreeFactory - Interface in edu.stanford.nlp.trees
-
A TreeFactory
acts as a factory for creating objects of
class Tree
, or some descendant class.
- treeFactory() - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Returns a TreeFactory
that produces
TreeGraphNode
s.
- TreeFunctions - Class in edu.stanford.nlp.trees
-
This is a utility class which vends tree transformers to translate
trees from one factory type to trees of another.
- TreeGraphNode - Class in edu.stanford.nlp.trees
-
A
TreeGraphNode
is simply a
{@code Tree}
with some additional functionality.
- TreeGraphNode(Label) - Constructor for class edu.stanford.nlp.trees.TreeGraphNode
-
Create a new TreeGraphNode
with the supplied
label.
- TreeGraphNode(Label, List<Tree>) - Constructor for class edu.stanford.nlp.trees.TreeGraphNode
-
Create a new TreeGraphNode
with the supplied
label and list of child nodes.
- TreeGraphNode(Tree, TreeGraphNode) - Constructor for class edu.stanford.nlp.trees.TreeGraphNode
-
Create a new TreeGraphNode
having the same tree
structure and label values as an existing tree (but no shared
storage).
- TreeGraphNodeFactory - Class in edu.stanford.nlp.trees
-
A
TreeGraphNodeFactory
acts as a factory for creating
tree nodes of type
TreeGraphNode
.
- TreeGraphNodeFactory() - Constructor for class edu.stanford.nlp.trees.TreeGraphNodeFactory
-
Make a TreeFactory
that produces
TreeGraphNode
s.
- TreeGraphNodeFactory(LabelFactory) - Constructor for class edu.stanford.nlp.trees.TreeGraphNodeFactory
-
Make a TreeFactory
that produces
TreeGraphNode
s.
- TreeLeafLabelTransformer - Class in edu.stanford.nlp.trees
-
Applies a Function to the labels in a tree.
- TreeLeafLabelTransformer(Function<String, String>) - Constructor for class edu.stanford.nlp.trees.TreeLeafLabelTransformer
-
- treeMap() - Static method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- treeMapFactory() - Static method in class edu.stanford.nlp.util.MapFactory
-
Return a MapFactory that returns a TreeMap.
- treeMapFactory(Comparator<? super K>) - Static method in class edu.stanford.nlp.util.MapFactory
-
Return a MapFactory that returns a TreeMap with the given Comparator.
- TreeNode() - Constructor for class edu.stanford.nlp.util.IntervalTree.TreeNode
-
- treeNormalizer - Variable in enum edu.stanford.nlp.trees.GrammaticalStructureConversionUtils.ConverterOptions
-
- TreeNormalizer - Class in edu.stanford.nlp.trees
-
A class for tree normalization.
- TreeNormalizer() - Constructor for class edu.stanford.nlp.trees.TreeNormalizer
-
- treePrint(TreebankLangParserParams) - Method in class edu.stanford.nlp.parser.lexparser.TestOptions
-
Determines method for print trees on output.
- TreePrint - Class in edu.stanford.nlp.trees
-
A class for customizing the print method(s) for a
edu.stanford.nlp.trees.Tree
as the output of the
parser.
- TreePrint(String) - Constructor for class edu.stanford.nlp.trees.TreePrint
-
Construct a new TreePrint that will print the given formats.
- TreePrint(String, TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.TreePrint
-
Make a TreePrint instance with no options specified.
- TreePrint(String, String, TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.TreePrint
-
Make a TreePrint instance.
- TreePrint(String, String, TreebankLanguagePack, HeadFinder, HeadFinder) - Constructor for class edu.stanford.nlp.trees.TreePrint
-
Make a TreePrint instance.
- TreeReader - Interface in edu.stanford.nlp.trees
-
A TreeReader
adds functionality to another Reader
by reading in Trees, or some descendant class.
- treeReaderFactory() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
-
- treeReaderFactory() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- treeReaderFactory() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
Makes appropriate TreeReaderFactory with all options specified
- treeReaderFactory() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
-
- treeReaderFactory() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
-
- treeReaderFactory() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
-
- treeReaderFactory() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
-
- treeReaderFactory() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
Returns a factory for reading in trees from the source you want.
- treeReaderFactory() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns a TreeReaderFactory suitable for general purpose use
with this language/treebank.
- treeReaderFactory() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
-
- treeReaderFactory() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
-
- treeReaderFactory() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
- treeReaderFactory() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- treeReaderFactory() - Method in class edu.stanford.nlp.trees.Treebank
-
Get the TreeReaderFactory
for a Treebank
--
this method is provided in order to make the
TreeReaderFactory
available to subclasses.
- treeReaderFactory() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns a TreeReaderFactory suitable for general purpose use
with this language/treebank.
- TreeReaderFactory - Interface in edu.stanford.nlp.trees
-
A TreeReaderFactory
is a factory for creating objects of
class TreeReader
, or some descendant class.
- Trees - Class in edu.stanford.nlp.trees
-
Various static utilities for the Tree
class.
- treeSetFactory() - Static method in class edu.stanford.nlp.util.CollectionFactory
-
- TreeSetFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory.TreeSetFactory
-
- treeSkeletonConstituentCopy() - Method in class edu.stanford.nlp.trees.Tree
-
Returns a deep copy of everything but the leaf labels.
- treeSkeletonConstituentCopy(TreeFactory, LabelFactory) - Method in class edu.stanford.nlp.trees.Tree
-
- treeSkeletonCopy() - Method in class edu.stanford.nlp.trees.Tree
-
Create a deep copy of the tree structure.
- treeSkeletonCopy(TreeFactory) - Method in class edu.stanford.nlp.trees.Tree
-
Create a deep copy of the tree structure.
- TreeTaggedFileReader - Class in edu.stanford.nlp.tagger.io
-
- TreeTaggedFileReader(TaggedFileRecord) - Constructor for class edu.stanford.nlp.tagger.io.TreeTaggedFileReader
-
- treeToDependencyHelper(Tree, List<IntDependency>, int, Index<String>, Index<String>) - Static method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
Adds dependencies to list depList.
- treeToDependencyList(Tree, Index<String>, Index<String>) - Static method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
Returns the List of dependencies for a binarized Tree.
- treeToEvents(Tree) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- treeTokenizerFactory() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
- treeTokenizerFactory() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
- treeTokenizerFactory() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Return a TokenizerFactory for Trees of this language/treebank.
- treeTokenizerFactory() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Return a TokenizerFactory for Trees of this language/treebank.
- TreeTokenizerFactory - Class in edu.stanford.nlp.trees
-
Wrapper for TreeReaderFactory.
- TreeTokenizerFactory(TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.TreeTokenizerFactory
-
Create a TreeTokenizerFactory from a TreeReaderFactory.
- treeToLatex(Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
- treeToLatexEven(Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
- TreeTransformer - Interface in edu.stanford.nlp.trees
-
This is a simple interface for a function that alters a
local Tree
.
- TreeVisitor - Interface in edu.stanford.nlp.trees
-
This is a simple strategy-type interface for operations that are applied to
Tree
.
- TregexMatcher - Class in edu.stanford.nlp.trees.tregex
-
- TregexParseException - Exception in edu.stanford.nlp.trees.tregex
-
A runtime exception that indicates something went wrong parsing a
tregex expression.
- TregexParseException(String, Throwable) - Constructor for exception edu.stanford.nlp.trees.tregex.TregexParseException
-
- TregexPattern - Class in edu.stanford.nlp.trees.tregex
-
A TregexPattern is a regular expression-like pattern that is designed to match node configurations within
a Tree where the nodes are labeled with symbols, rather than a character string.
- TregexPattern.TRegexTreeReaderFactory - Class in edu.stanford.nlp.trees.tregex
-
- TregexPatternCompiler - Class in edu.stanford.nlp.trees.tregex
-
A class for compiling TregexPatterns with specific HeadFinders and or
basicCategoryFunctions.
- TregexPatternCompiler() - Constructor for class edu.stanford.nlp.trees.tregex.TregexPatternCompiler
-
- TregexPatternCompiler(Function<String, String>) - Constructor for class edu.stanford.nlp.trees.tregex.TregexPatternCompiler
-
A compiler that uses this basicCatFunction and the default HeadFinder.
- TregexPatternCompiler(HeadFinder) - Constructor for class edu.stanford.nlp.trees.tregex.TregexPatternCompiler
-
A compiler that uses this HeadFinder and the default basicCategoryFunction
- TregexPatternCompiler(HeadFinder, Function<String, String>) - Constructor for class edu.stanford.nlp.trees.tregex.TregexPatternCompiler
-
A compiler that uses this HeadFinder and this basicCategoryFunction
- TregexPoweredTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser
-
- TregexPoweredTreebankParserParams(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
-
- TregexPoweredTreebankParserParams.AnnotateHeadFunction - Class in edu.stanford.nlp.parser.lexparser
-
Annotate a tree constituent with its lexical head.
- TregexPoweredTreebankParserParams.SimpleStringFunction - Class in edu.stanford.nlp.parser.lexparser
-
Annotates all nodes that match the tregex query with some string.
- TRegexTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.tregex.TregexPattern.TRegexTreeReaderFactory
-
- TRegexTreeReaderFactory(TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.tregex.TregexPattern.TRegexTreeReaderFactory
-
- trim(String, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
Returns s if it's at most maxWidth chars, otherwise chops right side to fit.
- trim(Object, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
- trimData() - Method in class edu.stanford.nlp.classify.GeneralDataset
-
- trimLabels() - Method in class edu.stanford.nlp.classify.GeneralDataset
-
- trimToSize(int[]) - Method in class edu.stanford.nlp.classify.GeneralDataset
-
- trimToSize(int[][]) - Method in class edu.stanford.nlp.classify.GeneralDataset
-
- trimToSize(double[][]) - Method in class edu.stanford.nlp.classify.GeneralDataset
-
- trimWithEllipsis(String, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
- trimWithEllipsis(Object, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
- Triple<T1,T2,T3> - Class in edu.stanford.nlp.util
-
Class representing an ordered triple of objects, possibly typed.
- Triple(T1, T2, T3) - Constructor for class edu.stanford.nlp.util.Triple
-
- TRUE - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
- TrueCaseAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TrueCaseAnnotation
-
- TrueCaseTextAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TrueCaseTextAnnotation
-
- TrueTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TrueTagAnnotation
-
- truncate(int, int, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
This returns a string from decimal digit smallestDigit to decimal digit
biggest digit.
- tryEta(AbstractStochasticCachingDiffUpdateFunction, double[], int[], double) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
-
- Tsurgeon - Class in edu.stanford.nlp.trees.tregex.tsurgeon
-
Tsurgeon provides a way of editing trees based on a set of operations that
are applied to tree locations matching a tregex pattern.
- TsurgeonMatcher - Class in edu.stanford.nlp.trees.tregex.tsurgeon
-
An object factored out to keep the state of a Tsurgeon
operation separate from the TsurgeonPattern
objects.
- TsurgeonMatcher(TsurgeonPattern, Map<String, Tree>, CoindexationGenerator) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonMatcher
-
- TsurgeonParseException - Exception in edu.stanford.nlp.trees.tregex.tsurgeon
-
A runtime exception that indicates something went wrong parsing a
Tsurgeon expression.
- TsurgeonParseException(String) - Constructor for exception edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParseException
-
- TsurgeonParseException(String, Throwable) - Constructor for exception edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParseException
-
- TsurgeonParserTreeConstants - Interface in edu.stanford.nlp.trees.tregex.tsurgeon
-
- TsurgeonPattern - Class in edu.stanford.nlp.trees.tregex.tsurgeon
-
An abstract class for patterns to manipulate
Tree
s when
successfully matched on with a
TregexMatcher
.
- TsurgeonRuntimeException - Exception in edu.stanford.nlp.trees.tregex.tsurgeon
-
Something has gone wrong internally in Tsurgeon
- TsurgeonRuntimeException(String) - Constructor for exception edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonRuntimeException
-
Creates a new exception with a message.
- TSVTaggedFileReader - Class in edu.stanford.nlp.tagger.io
-
- TSVTaggedFileReader(TaggedFileRecord) - Constructor for class edu.stanford.nlp.tagger.io.TSVTaggedFileReader
-
- TTags - Class in edu.stanford.nlp.tagger.maxent
-
This class holds the POS tags, assigns them unique ids, and knows which tags
are open versus closed class.
- TTags() - Constructor for class edu.stanford.nlp.tagger.maxent.TTags
-
- TUESDAY - Static variable in class edu.stanford.nlp.time.SUTime
-
- tune(Function, double[], long, double, double) - Method in class edu.stanford.nlp.optimization.InefficientSGDMinimizer
-
- tune(Function, double[], long) - Method in class edu.stanford.nlp.optimization.InefficientSGDMinimizer
-
- tune(Function, double[], long) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
-
- tune(AbstractStochasticCachingDiffUpdateFunction, double[], int, double) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
-
Finds a good learning rate to start with.
- tune(Function, double[], long) - Method in class edu.stanford.nlp.optimization.SMDMinimizer
-
- tune(Function, double[], long) - Method in class edu.stanford.nlp.optimization.SQNMinimizer
-
- tune(Function, double[], long) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- tune(Function, double[], long, List<Integer>, List<Double>) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- tune(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
Default is no-op.
- tune() - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
TODO: this used to actually score things based on the original trees
- tune(Collection<Tree>) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
-
Tune free parameters on these trees.
- tune(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
Tune the smoothing and interpolation parameters of the dependency
grammar based on a tuning treebank.
- tuneBatch(Function, double[], long, int) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- tuneDouble(Function, double[], long, StochasticMinimizer.PropertySetter<Double>, double, double) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- tuneDouble(Function, double[], long, StochasticMinimizer.PropertySetter<Double>, double, double, double) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- tuneFixedGain(Function, double[], long, double) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
-
- tuneGain(Function, double[], long, double, double) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- tuneSampleSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- tuneSGD - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- tuningSamples - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
-
- TWILIGHT - Static variable in class edu.stanford.nlp.time.SUTime
-
- TwoDimensionalCollectionValuedMap<K1,K2,V> - Class in edu.stanford.nlp.util
-
A class which can store mappings from Object keys to
Collection
s of Object values.
- TwoDimensionalCollectionValuedMap() - Constructor for class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
Creates a new empty TwoDimensionalCollectionValuedMap which uses a HashMap as the
underlying Map, and HashSets as the Collections in each mapping.
- TwoDimensionalCollectionValuedMap(boolean) - Constructor for class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
Creates a new empty TwoDimensionalCollectionValuedMap which uses a HashMap as the
underlying Map, and HashSets as the Collections in each mapping.
- TwoDimensionalCollectionValuedMap(CollectionFactory<V>) - Constructor for class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
Creates a new empty TwoDimensionalCollectionValuedMap which uses a HashMap as the
underlying Map.
- TwoDimensionalCollectionValuedMap(MapFactory<K2, Collection<V>>, CollectionFactory<V>) - Constructor for class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
Creates a new empty TwoDimensionalCollectionValuedMap.
- TwoDimensionalCollectionValuedMap(MapFactory<K2, Collection<V>>, CollectionFactory<V>, boolean) - Constructor for class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
Creates a new empty TwoDimensionalCollectionValuedMap.
- TwoDimensionalCounter<K1,K2> - Class in edu.stanford.nlp.stats
-
A class representing a mapping between pairs of typed objects and double
values.
- TwoDimensionalCounter() - Constructor for class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- TwoDimensionalCounter(MapFactory<K1, ClassicCounter<K2>>, MapFactory<K2, MutableDouble>) - Constructor for class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- TwoDimensionalCounterInterface<K1,K2> - Interface in edu.stanford.nlp.stats
-
Interface representing a mapping between pairs of typed objects and double
values.
- TwoDimensionalIntCounter<K1,K2> - Class in edu.stanford.nlp.stats
-
A class representing a mapping between pairs of typed objects and int values.
- TwoDimensionalIntCounter() - Constructor for class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- TwoDimensionalIntCounter(int) - Constructor for class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- TwoDimensionalIntCounter(MapFactory<K1, IntCounter<K2>>, MapFactory<K2, MutableInteger>) - Constructor for class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- TwoDimensionalIntCounter(MapFactory<K1, IntCounter<K2>>, MapFactory<K2, MutableInteger>, int) - Constructor for class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- TwoDimensionalMap<K1,K2,V> - Class in edu.stanford.nlp.util
-
- TwoDimensionalMap() - Constructor for class edu.stanford.nlp.util.TwoDimensionalMap
-
- TwoDimensionalMap(TwoDimensionalMap<K1, K2, V>) - Constructor for class edu.stanford.nlp.util.TwoDimensionalMap
-
- TwoDimensionalMap(MapFactory<K1, Map<K2, V>>, MapFactory<K2, V>) - Constructor for class edu.stanford.nlp.util.TwoDimensionalMap
-
- TwoDimensionalMap.Entry<K1,K2,V> - Class in edu.stanford.nlp.util
-
This inner class represents a single entry in the TwoDimensionalMap.
- twoStage - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- type - Variable in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier.LabelTagType
-
- type - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- TYPE_ANNOTATION_KEY - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
- TYPE_BOOLEAN - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
- TYPE_CLASS - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
CLASS - Maps to a Java class
- TYPE_COMPOSITE - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
COMPOSITE - Composite value with field names and field values
- TYPE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
FUNCTION - (input) => (output) where input is a list of Values, and output is a single Value
- TYPE_LIST - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
LIST - List
- TYPE_NUMBER - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
NUMBER - Numeric value (can be integer or real)
- TYPE_REGEX - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
REGEX - Regular expression pattern (for tokens or string)
- TYPE_REGEXMATCHVAR - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
REGEXMATCHVAR - Variable that refers to variable resulting from a regex match or used in a regex match (starts with $)
- TYPE_SET - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
- TYPE_STRING - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
STRING - String
- TYPE_STRING_REGEX - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
- TYPE_TOKEN_REGEX - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
- TYPE_TOKENS - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
- TYPE_VAR - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
VAR - Variable
- TypeCheckedFunction(String, List<ValueFunctions.ParamInfo>) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.TypeCheckedFunction
-
- TypeCheckedFunction(String, ValueFunctions.ParamInfo...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.TypeCheckedFunction
-
- typedDependencies() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns a list of TypedDependency in the graph.
- typedDependencies - Variable in class edu.stanford.nlp.trees.GrammaticalStructure
-
- typedDependencies() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Returns the typed dependencies of this grammatical structure.
- typedDependencies(GrammaticalStructure.Extras) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Returns the typed dependencies of this grammatical structure.
- typedDependencies(boolean) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Deprecated.
- typedDependenciesCCprocessed(GrammaticalStructure.Extras) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Get the typed dependencies after collapsing them and processing eventual
CC complements.
- typedDependenciesCCprocessed(boolean) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Deprecated.
- typedDependenciesCCprocessed() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Get a list of the typed dependencies, including extras like control
dependencies, collapsing them and distributing relations across
coordination.
- typedDependenciesCollapsed() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Get the typed dependencies after collapsing them.
- typedDependenciesCollapsed(GrammaticalStructure.Extras) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Get the typed dependencies after collapsing them.
- typedDependenciesCollapsed(boolean) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Deprecated.
- typedDependenciesCollapsedTree() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Get the typed dependencies after mostly collapsing them, but keep a tree
structure.
- typedDependenciesEnhanced() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
- typedDependenciesEnhancedPlusPlus() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
- TypedDependency - Class in edu.stanford.nlp.trees
-
A TypedDependency
is a relation between two words in a
GrammaticalStructure
.
- TypedDependency(GrammaticalRelation, IndexedWord, IndexedWord) - Constructor for class edu.stanford.nlp.trees.TypedDependency
-
- TypedDependency(TypedDependency) - Constructor for class edu.stanford.nlp.trees.TypedDependency
-
- typedDependencyClasser() - Static method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Returns an EquivalenceClasser that classes typed dependencies
by the syntactic categories of mother, head and daughter,
plus direction.
- typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
The HeadFinder to use when extracting typed dependencies.
- typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
-
- typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
- typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
-
- typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
-
- typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
-
- typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
-
- typedDependencyHeadFinder() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
- typedDependencyHeadFinder() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
-
The HeadFinder to use when making typed dependencies.
- typedDependencyHeadFinder() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
-
The HeadFinder to use when making typed dependencies.
- typedDependencyHeadFinder() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
-
- typedDependencyHeadFinder() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
The HeadFinder to use when making typed dependencies.
- typedDependencyHeadFinder() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
The HeadFinder to use when making typed dependencies.
- typedDependencyHeadFinder() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
-
The HeadFinder to use when making typed dependencies.
- typedDependencyHeadFinder() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
-
The HeadFinder to use when making typed dependencies.
- typedDependencyHeadFinder() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
The HeadFinder to use when making typed dependencies.
- typedDependencyObjectify(Tree, HeadFinder, TreeTransformer) - Static method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Returns a collection of word-word dependencies typed by mother, head, daughter node syntactic categories.
- TypedExpression(String, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.TypedExpression
-
- typeEquals(SemanticGraphEdge) - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
-
- typeMatches(LabeledChunkIdentifier.LabelTagType) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier.LabelTagType
-
- typeName - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.ParamInfo
-
- TypesafeMap - Interface in edu.stanford.nlp.util
-
Type signature for a class that supports the basic operations required
of a typesafe heterogeneous map.
- TypesafeMap.Key<VALUE> - Interface in edu.stanford.nlp.util
-
Base type of keys for the map.
- v - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- valenceBin(int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- value() - Method in class edu.stanford.nlp.ling.CoreLabel
-
Return a String representation of just the "main" value of this label.
- value() - Method in class edu.stanford.nlp.ling.IndexedWord
-
- value() - Method in interface edu.stanford.nlp.ling.Label
-
Return a String representation of just the "main" value of this label.
- value() - Method in class edu.stanford.nlp.ling.StringLabel
-
Return the word value of the label (or null if none).
- value - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- value - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchResult.MatchedGroupInfo
-
- value() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.PatternExpr
-
- Value<T> - Interface in edu.stanford.nlp.ling.tokensregex.types
-
An expression that has been evaluated to a Java object of type T.
- value() - Method in class edu.stanford.nlp.ling.ValueLabel
-
Return the value of the label (or null if none).
- value() - Method in class edu.stanford.nlp.ling.WordLemmaTag
-
Return a String representation of just the "main" value of this Label.
- value() - Method in class edu.stanford.nlp.ling.WordTag
-
Return a String representation of just the "main" value of this label.
- value - Variable in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
-
- value - Variable in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
-
- value() - Method in class edu.stanford.nlp.time.Timex
-
- value() - Method in class edu.stanford.nlp.trees.Constituent
-
Return the value of the label (or null if none).
- value() - Method in class edu.stanford.nlp.trees.Tree
-
- ValueAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ValueAnnotation
-
- valueAt(double[], double, int[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- valueAt(double[], double, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
Computes value of function for specified value of x (scaled by xScale)
only over samples indexed by batch.
- valueAt(float[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
-
- valueAt(double[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
-
- valueAt(double[], int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
valueAt(x,batchSize) derivativeAt(x,batchSize)
invokes the calculateStochastic function to get the current value at x for the next batchSize data points.
- valueAt(double[], double[], int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
This function will return the stochastic approximation at the point x.
- valueAt(double[], double, int[]) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
-
Computes value of function for specified value of x (scaled by xScale)
only over samples indexed by batch.
- valueAt(double[], double, int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
-
- valueAt(float[]) - Method in interface edu.stanford.nlp.optimization.FloatFunction
-
Returns the value of the function at a single point.
- valueAt(double[]) - Method in interface edu.stanford.nlp.optimization.Function
-
Returns the value of the function at a single point.
- valueAt(float[]) - Method in class edu.stanford.nlp.optimization.ResultStoringFloatMonitor
-
- valueAt(double[]) - Method in class edu.stanford.nlp.optimization.ResultStoringMonitor
-
- ValuedInterval<T,E extends Comparable<E>> - Class in edu.stanford.nlp.util
-
Interval with value
- ValuedInterval(T, Interval<E>) - Constructor for class edu.stanford.nlp.util.ValuedInterval
-
- ValueExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- valueExtractor - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- valueForADoc(int) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- ValueFunction - Interface in edu.stanford.nlp.ling.tokensregex.types
-
A function that takes as input an environment (Env) and a list of values
(List<Value>
) and returns a Value.
- ValueFunctions - Class in edu.stanford.nlp.ling.tokensregex.types
-
ValueFunctions supported by tokensregex.
- ValueFunctions.BooleanFunction - Class in edu.stanford.nlp.ling.tokensregex.types
-
- ValueFunctions.ComparableComparator<T extends Comparable<T>> - Class in edu.stanford.nlp.ling.tokensregex.types
-
- ValueFunctions.CompareFunction<T> - Class in edu.stanford.nlp.ling.tokensregex.types
-
- ValueFunctions.CompareType - Enum in edu.stanford.nlp.ling.tokensregex.types
-
- ValueFunctions.NamedValueFunction - Class in edu.stanford.nlp.ling.tokensregex.types
-
- ValueFunctions.NumericComparator - Class in edu.stanford.nlp.ling.tokensregex.types
-
- ValueFunctions.NumericFunction - Class in edu.stanford.nlp.ling.tokensregex.types
-
- ValueFunctions.ParamInfo - Class in edu.stanford.nlp.ling.tokensregex.types
-
- ValueFunctions.StringFunction - Class in edu.stanford.nlp.ling.tokensregex.types
-
- ValueFunctions.TypeCheckedFunction - Class in edu.stanford.nlp.ling.tokensregex.types
-
- valueIterator() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- ValueLabel - Class in edu.stanford.nlp.ling
-
A ValueLabel
object acts as a Label with linguistic
attributes.
- ValueLabel() - Constructor for class edu.stanford.nlp.ling.ValueLabel
-
- valueOf(String) - Static method in enum edu.stanford.nlp.classify.LogPrior.LogPriorType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.ie.NERClassifierCombiner.Language
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.ie.pascal.ISODateInstance.DateField
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.international.Language
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.international.morph.MorphoFeatureSpecification.MorphoFeatureType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.international.spanish.process.AnCoraPronounDisambiguator.PersonalPronounType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.ling.CoreAnnotations.SRL_ID
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.ling.CoreLabel.OutputFormat
-
Returns the enum constant of this type with the specified name.
- valueOf(Env, Map<String, String>, BiFunction<M, K, Object>, Function<Pair<Env, String>, K>) - Static method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern
-
- valueOf(Expression) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionNodePattern
-
- valueOf(Env, Expression) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionNodePattern
-
- valueOf(String) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
-
- valueOf(String, int) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
-
- valueOf(Env, String) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
-
- valueOf(Pattern) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
-
- valueOf(Map<String, String>) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
-
- valueOf(Env, Map<String, String>) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
-
- valueOf(String) - Static method in enum edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher.MatchType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.ling.tokensregex.SequenceMatcher.FindType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexMatchResultVarExpression
-
- valueOf(String) - Static method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexMatchVarExpression
-
- valueOf(String) - Static method in enum edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.CompareType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in class edu.stanford.nlp.ling.WordTag
-
- valueOf(String, String) - Static method in class edu.stanford.nlp.ling.WordTag
-
- valueOf(String) - Static method in enum edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction.SamplingMethod
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS.Prior
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.optimization.StochasticCalculateMethods
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.parser.lexparser.TrainOptions.TransformMatrixType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.pipeline.LanguageInfo.HumanLanguage
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.process.DocumentPreprocessor.DocType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.process.LexerUtils.DashesEnum
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.process.LexerUtils.EllipsesEnum
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.process.LexerUtils.QuotesEnum
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.process.WordToSentenceProcessor.NewlineIsSentenceBreak
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.semgraph.SemanticGraph.OutputFormat
-
Returns the enum constant of this type with the specified name.
- valueOf(String, Language) - Static method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Tries to parse a String representing a SemanticGraph.
- valueOf(String) - Static method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- valueOf(String) - Static method in enum edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.DependenciesType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.semgraph.SemanticGraphFactory.Mode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.semgraph.semgrex.SemgrexPattern.OutputFormat
-
Returns the enum constant of this type with the specified name.
- valueOf(int, int) - Static method in class edu.stanford.nlp.sequences.Clique
-
- valueOf(int[]) - Static method in class edu.stanford.nlp.sequences.Clique
-
Make a clique over the provided relativeIndices.
- valueOf(Clique, int) - Static method in class edu.stanford.nlp.sequences.Clique
-
- valueOf(String) - Static method in enum edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter.OutputStyle
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.sequences.SeqClassifierFlags.SlashHyphenEnum
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.tagger.io.TaggedFileRecord.Format
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.tagger.maxent.TaggerConfig.Mode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.time.Options.RelativeHeuristicLevel
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.time.SUTime.StandardTemporalType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.time.SUTime.TemporalOp
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.time.SUTime.TimeUnit
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.time.SUTime.TimexAttr
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.time.SUTime.TimexDocFunc
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.time.SUTime.TimexMod
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.time.SUTime.TimexType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
Returns the EnglishGrammaticalRelation having the given string
representation (e.g.
- valueOf(Object) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
Returns an EnglishGrammaticalRelation based on the argument.
- valueOf(String, Collection<GrammaticalRelation>, Lock) - Static method in class edu.stanford.nlp.trees.GrammaticalRelation
-
Returns the GrammaticalRelation having the given string
representation (e.g.
- valueOf(String, Map<String, GrammaticalRelation>) - Static method in class edu.stanford.nlp.trees.GrammaticalRelation
-
Returns the GrammaticalRelation having the given string
representation (e.g.
- valueOf(Language, String) - Static method in class edu.stanford.nlp.trees.GrammaticalRelation
-
Convert from a String representation of a GrammaticalRelation to a
GrammaticalRelation.
- valueOf(String) - Static method in class edu.stanford.nlp.trees.GrammaticalRelation
-
- valueOf(String) - Static method in enum edu.stanford.nlp.trees.GrammaticalStructure.Extras
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.trees.GrammaticalStructureConversionUtils.ConverterOptions
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder.TagSet
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
- valueOf(String) - Static method in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
- valueOf(String) - Static method in class edu.stanford.nlp.trees.Tree
-
This gives you a tree from a String representation (as a
bracketed Tree, of the kind produced by toString()
,
pennPrint()
, or as in the Penn Treebank).
- valueOf(String, TreeReaderFactory) - Static method in class edu.stanford.nlp.trees.Tree
-
This gives you a tree from a String representation (as a
bracketed Tree, of the kind produced by toString()
,
pennPrint()
, or as in the Penn Treebank.
- valueOf(String) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
Returns the EnglishGrammaticalRelation having the given string
representation (e.g., "nsubj"), or null if no such is found.
- valueOf(Object) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
Returns an EnglishGrammaticalRelation based on the argument.
- valueOf(String) - Static method in enum edu.stanford.nlp.util.ArrayStringFilter.Mode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.util.Interval.RelType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.util.logging.Color
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.util.logging.Redwood.Flag
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.util.logging.Style
-
Returns the enum constant of this type with the specified name.
- valueOf(List<IN>, IN) - Static method in class edu.stanford.nlp.util.PaddedList
-
A static method that provides an easy way to create a list of a
certain parametric type.
- valueOfIgnoreComments(String) - Static method in class edu.stanford.nlp.stats.ClassicCounter
-
Returns the Counter over Strings specified by this String.
- ValuePatternExpr(SequencePattern.PatternExpr, Object) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.ValuePatternExpr
-
- values - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
Same size as data if the features have values; null if the features are binary.
- values() - Static method in enum edu.stanford.nlp.classify.LogPrior.LogPriorType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.ie.NERClassifierCombiner.Language
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.ie.pascal.ISODateInstance.DateField
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.international.Language
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.international.morph.MorphoFeatureSpecification.MorphoFeatureType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.international.spanish.process.AnCoraPronounDisambiguator.PersonalPronounType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.ling.CoreAnnotations.SRL_ID
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.ling.CoreLabel.OutputFormat
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher.MatchType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.ling.tokensregex.SequenceMatcher.FindType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.CompareType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values - Variable in class edu.stanford.nlp.maxent.Experiments
-
The value of classification y for x.
- values() - Static method in enum edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction.SamplingMethod
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS.Prior
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.optimization.StochasticCalculateMethods
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.parser.lexparser.TrainOptions.TransformMatrixType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.pipeline.LanguageInfo.HumanLanguage
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.process.DocumentPreprocessor.DocType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.process.LexerUtils.DashesEnum
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.process.LexerUtils.EllipsesEnum
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.process.LexerUtils.QuotesEnum
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.process.WordToSentenceProcessor.NewlineIsSentenceBreak
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.semgraph.SemanticGraph.OutputFormat
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.DependenciesType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.semgraph.SemanticGraphFactory.Mode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.semgraph.semgrex.SemgrexPattern.OutputFormat
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter.OutputStyle
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.sequences.SeqClassifierFlags.SlashHyphenEnum
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Returns a copy of the values currently in this counter.
- values() - Method in interface edu.stanford.nlp.stats.Counter
-
Returns a copy of the values currently in this counter.
- values() - Method in class edu.stanford.nlp.stats.IntCounter
-
- values() - Static method in enum edu.stanford.nlp.tagger.io.TaggedFileRecord.Format
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.tagger.maxent.TaggerConfig.Mode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.time.Options.RelativeHeuristicLevel
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.time.SUTime.StandardTemporalType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.time.SUTime.TemporalOp
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.time.SUTime.TimeUnit
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.time.SUTime.TimexAttr
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.time.SUTime.TimexDocFunc
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.time.SUTime.TimexMod
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.time.SUTime.TimexType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
Return a synchronized list of the known GrammaticalRelation entries.
- values() - Static method in enum edu.stanford.nlp.trees.GrammaticalStructure.Extras
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.trees.GrammaticalStructureConversionUtils.ConverterOptions
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder.TagSet
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
Return an unmodifiable list of grammatical relations.
- values() - Static method in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
Return an unmodifiable list of grammatical relations.
- values() - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
- values() - Static method in enum edu.stanford.nlp.util.ArrayStringFilter.Mode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
- values() - Static method in enum edu.stanford.nlp.util.Interval.RelType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.util.logging.Color
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.util.logging.Redwood.Flag
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.util.logging.Style
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
- values() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- valuesLock - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
If you need exclusive access to these values lists, then you should
take out a valuesLock.
- valuesLock() - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
Returns a readLock for the grammatical relations values list.
- valuesLock - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
- valuesLock() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
- valuesLock() - Static method in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
- valuesLock - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
- valuesLock() - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
- valueSplit(String, String, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Split a string into tokens.
- VAR_SELF - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
- VarAssignmentExpression(String, Expression, boolean) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.VarAssignmentExpression
-
- VarExpression(String, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.VarExpression
-
- variance(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- varName - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchResult.MatchedGroupInfo
-
- VarOrRegexVar(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- vArray - Variable in class edu.stanford.nlp.maxent.Experiments
-
vArray has dimensions [numTrainingDatums][2] and holds the x and y (word and tag index) for each training sample.
- VERB_COMPOUND - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "coordinated verb compound" grammatical relation.
- VERB_COMPOUND - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "coordinated verb compound" grammatical relation.
- VERBAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "verb modifier" grammatical relation.
- verbose - Variable in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
- VERBOSE - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
-
- VERBOSE - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- VERBOSE - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
-
- VERBOSE - Static variable in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
-
- VERBOSE - Static variable in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
-
- verbose - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
Print a lot of extra output as you parse.
- verbose - Static variable in class edu.stanford.nlp.sequences.SequenceGibbsSampler
-
- VERBOSE - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- VERBOSE - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- VERBOSE_RESULTS - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- verboseForTrueCasing - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- verboseMode - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- VerbSenseAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.VerbSenseAnnotation
-
- verbSuffix(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
-
- verify() - Method in class edu.stanford.nlp.util.ArrayHeap
-
- vertexListSorted() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
This returns an ordered list of vertices (based upon their
indices in the sentence).
- vertexSet() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- VERY_COMMON_WORD_THRESH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- VisibilityHandler - Class in edu.stanford.nlp.util.logging
-
A filter for selecting which channels are visible.
- VisibilityHandler() - Constructor for class edu.stanford.nlp.util.logging.VisibilityHandler
-
- VisibilityHandler(Object[]) - Constructor for class edu.stanford.nlp.util.logging.VisibilityHandler
-
- visitTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
-
Does whatever one needs to do to a particular parse tree
- visitTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
-
Does whatever one needs to do to a particular parse tree
- visitTree(Tree) - Method in interface edu.stanford.nlp.trees.TreeVisitor
-
Does whatever one needs to do to a particular parse tree.
- visitTree(Tree) - Method in class edu.stanford.nlp.trees.WordStemmer
-
- ViterbiParser - Interface in edu.stanford.nlp.parser
-
The interface for Viterbi parsers.
- ViterbiParserWithOptions - Interface in edu.stanford.nlp.parser
-
The interface for Viterbi parsers with options.
- ViterbiSearchGraphBuilder - Class in edu.stanford.nlp.sequences
-
- ViterbiSearchGraphBuilder() - Constructor for class edu.stanford.nlp.sequences.ViterbiSearchGraphBuilder
-
- vocabFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- vpSubCat - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Pitiful attempt at marking V* preterms with their surface subcat
frames.