A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

A

ABBREVIATION_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "abbreviation modifier" grammatical relation.
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
 
AbstractCachingDiffFunction() - Constructor for class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
AbstractCollinsHeadFinder - Class in edu.stanford.nlp.trees
A base class for Head Finders similar to the one described in Michael Collins' 1999 thesis.
AbstractCollinsHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
 
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
 
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
Shared methods for training a LinearClassifier.
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) Weights are represented by an array of doubles and a scalar that indicates how much to scale all weights by This allows all weights to be scaled by just modifying the scalar
AbstractStochasticCachingDiffUpdateFunction() - Constructor for class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
 
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.
accept(File) - Method in class edu.stanford.nlp.io.ExtensionFileFilter
Checks whether a file satisfies the selection filter.
accept(File) - Method in class edu.stanford.nlp.io.RegExFileFilter
Checks whether a file satisfies the selection filter.
accept(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).
accept(Tree) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer.EmptyFilter
Doesn't accept nodes that only cover an empty.
accept(Dependency<G, D, N>) - Method in class edu.stanford.nlp.trees.Dependencies.DependentPuncTagRejectFilter
 
accept(Dependency<G, D, N>) - Method in class edu.stanford.nlp.trees.Dependencies.DependentPuncWordRejectFilter
 
accept(T) - Method in interface edu.stanford.nlp.util.Filter
Checks if the given object passes the 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
 
AcquisitionsPrior<IN extends CoreMap> - Class in edu.stanford.nlp.ie
 
AcquisitionsPrior(String, Index<String>, List<IN>) - Constructor for class edu.stanford.nlp.ie.AcquisitionsPrior
 
acronymMatch(String, String, HashMap) - Static method in class edu.stanford.nlp.ie.pascal.PascalTemplate
 
AcronymModel - Class in edu.stanford.nlp.ie.pascal
Scores Pascal challenge workshop information templates.
AcronymModel() - Constructor for class edu.stanford.nlp.ie.pascal.AcronymModel
 
AcronymModel.AfterAligned - Class in edu.stanford.nlp.ie.pascal
Percent of letters aligned immediately after another aligned letter.
AcronymModel.AfterAligned() - Constructor for class edu.stanford.nlp.ie.pascal.AcronymModel.AfterAligned
 
AcronymModel.AlignedPerWord - Class in edu.stanford.nlp.ie.pascal
Average number of aligned letters per word.
AcronymModel.AlignedPerWord() - Constructor for class edu.stanford.nlp.ie.pascal.AcronymModel.AlignedPerWord
 
AcronymModel.BegWord - Class in edu.stanford.nlp.ie.pascal
 
AcronymModel.BegWord() - Constructor for class edu.stanford.nlp.ie.pascal.AcronymModel.BegWord
 
AcronymModel.EndWord - Class in edu.stanford.nlp.ie.pascal
 
AcronymModel.EndWord() - Constructor for class edu.stanford.nlp.ie.pascal.AcronymModel.EndWord
 
AcronymModel.Feature - Interface in edu.stanford.nlp.ie.pascal
 
AcronymModel.LettersAligned - Class in edu.stanford.nlp.ie.pascal
 
AcronymModel.LettersAligned() - Constructor for class edu.stanford.nlp.ie.pascal.AcronymModel.LettersAligned
 
AcronymModel.SyllableBoundary - Class in edu.stanford.nlp.ie.pascal
 
AcronymModel.SyllableBoundary() - Constructor for class edu.stanford.nlp.ie.pascal.AcronymModel.SyllableBoundary
 
AcronymModel.WordsSkipped - Class in edu.stanford.nlp.ie.pascal
 
AcronymModel.WordsSkipped() - Constructor for class edu.stanford.nlp.ie.pascal.AcronymModel.WordsSkipped
 
activate(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
 
activeFeatures - Variable in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
 
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) under construction -pichuan
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(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(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
 
add(float[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
 
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(double, double[], double[], int) - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
 
add(List<IN>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
add(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
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(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 add's return conditions.
add(K, V) - Method in class edu.stanford.nlp.util.CollectionValuedMap
Adds the value to the Collection mapped to by the key.
add(E) - Method in class edu.stanford.nlp.util.ConcurrentHashSet
 
add(K, V) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
 
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(int) - Method in class edu.stanford.nlp.util.IntUni
 
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 add's return conditions.
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(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(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(TwoDimensionalCounter<K1, K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
addAll(K1, Counter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
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(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.ConcurrentHashSet
 
addAll(Map<K, V>) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
Adds all of the mappings in m to this 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
 
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
 
addArc(Class<GR>, TreeGraphNode) - Method in class edu.stanford.nlp.trees.TreeGraphNode
Add a labeled arc from this node to the argument node.
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.
addFeature(MorphoFeatureSpecification.MorphoFeatureType, String) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
 
addFeatures(Collection<F>) - Method in class edu.stanford.nlp.classify.Dataset
 
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
 
addHtmlSentenceBoundaryToDiscard(Set<String>) - Method in class edu.stanford.nlp.process.WordToSentenceProcessor
 
addingSingletonEntity(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
addInPlace(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
Increases the values in this array by b.
addInPlace(float[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
Increases the values in this array by b.
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>) - 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) - Method in class edu.stanford.nlp.util.Interval
 
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.
addMacro(String, String) - Method in class edu.stanford.nlp.trees.tregex.TregexPatternCompiler
 
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.
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
 
addNodeToIndexMap(int, TreeGraphNode) - Method in class edu.stanford.nlp.trees.TreeGraph
Store a mapping from an arbitrary integer index to a node in this treegraph.
addProcessedData(List<List<CRFDatum<Collection<String>, String>>>, int[][][][], int[][], 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.
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
 
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.
adjustBias(List<List<IN>>, Function<Double, Double>, double, double) - Method in class edu.stanford.nlp.ie.crf.CRFBiasedClassifier
 
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.
ADMath() - Constructor for class edu.stanford.nlp.math.ADMath
 
ADV_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "adverbial clause modifier" grammatical relation.
ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "adverbial modifier" grammatical relation.
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.
AGENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
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.MostFreqAggregator
 
Alignment - Class in edu.stanford.nlp.ie.pascal
Container class for aligning acronyms.
Alignment(char[], char[], int[]) - Constructor for class edu.stanford.nlp.ie.pascal.Alignment
 
Alignment(BufferedReader) - Constructor for class edu.stanford.nlp.ie.pascal.Alignment
 
AlignmentFactory - Class in edu.stanford.nlp.ie.pascal
Generates Alignment objects for acronym alignment.
AlignmentFactory(String, String) - Constructor for class edu.stanford.nlp.ie.pascal.AlignmentFactory
 
AlignmentFactory(char[], char[]) - Constructor for class edu.stanford.nlp.ie.pascal.AlignmentFactory
 
allIndices - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
allLabels(int, Index) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
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
 
altAnswerFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
altTag - Variable in class edu.stanford.nlp.international.morph.MorphoFeatures
 
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.
ancestor(int, Tree) - Method in class edu.stanford.nlp.trees.Tree
Return the ancestor tree node height nodes up from the current node.
andFilter(Filter<E>, Filter<E>) - Static method in class edu.stanford.nlp.util.Filters
Filter that accepts only when both filters accept (AND).
annealingRate - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
annealingType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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 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 + totalTokenOffset TokenEndAnnotation - Index of last token in chunk (index in original list of tokens) tokenEndIndex + totalTokenOffset
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
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() - Constructor for class edu.stanford.nlp.pipeline.Annotation
Deprecated. 
AnnotationLookup - Class in edu.stanford.nlp.ling
 
AnnotationLookup.KeyLookup - Enum in edu.stanford.nlp.ling
 
announceObjectBankEntries - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
answerFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
aOverAFilter - Variable in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
 
appendingEntity(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
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(X) - Method in class edu.stanford.nlp.objectbank.IdentityFunction
 
apply(String) - Method in class edu.stanford.nlp.objectbank.ObjectBank.PathToFileFunction
 
apply(HasWord) - Method in class edu.stanford.nlp.process.Americanize
Americanize the HasWord or String coming in.
apply(Object) - Method in class edu.stanford.nlp.process.Morphology
 
apply(String) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats.StringStringConverter
 
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(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(T1) - Method in interface edu.stanford.nlp.util.Function
Converts a T1 to a different T2.
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.
applyInitialHessian(double[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
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.
arcLabelsToNode(TreeGraphNode) - Method in class edu.stanford.nlp.trees.TreeGraphNode
Finds all arcs between this node and destNode, and returns the Set of Objects which label those arcs.
arcLabelToNode(TreeGraphNode) - Method in class edu.stanford.nlp.trees.TreeGraphNode
Returns the label of a single arc between this node and destNode, or null if no such arc exists.
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() - 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
Analogous to StringUtils.argsToMap(java.lang.String[]).
ARGUMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "argument" grammatical relation.
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 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
 
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
Class ArrayMath
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.
ASCENDING_COMPARATOR - Static variable in class edu.stanford.nlp.util.ScoredComparator
 
asciiToChar(byte) - Static method in class edu.stanford.nlp.maxent.Convert
 
asciiToNative(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
asciiToNative(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
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.
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
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(Object...) - Static method in class edu.stanford.nlp.util.CollectionUtils
Returns a new List containing the specified objects.
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 Maps? This method will solve that problem for you.
asPrimitiveDoubleArray(Collection<Double>) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
asPrimitiveIntArray(Collection<Integer>) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
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.
asSortedList() - Method in class edu.stanford.nlp.util.Beam
 
aStringArrToByteArr(String[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
aStringArrToByteArr(String[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
aStringArrToByteArr(byte[], int, String[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
attributes - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
 
ATTRIBUTIVE - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "attributive" grammatical relation.
augmentedDateChars - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
AUX_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "auxiliary" grammatical relation.
AUX_PASSIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "passive auxiliary" grammatical relation.
auxTrueCaseModels - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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).

B

BACKGROUND_SYMBOL - Static variable in class edu.stanford.nlp.ie.pascal.PascalTemplate
 
backgroundIndex() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
backgroundSymbol() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Returns the background class for the classifier.
backgroundSymbol() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
backgroundSymbol - Variable in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
backgroundSymbol - Variable in class edu.stanford.nlp.ie.UniformPrior
 
backgroundSymbol - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
backupFile(File) - Static method in class edu.stanford.nlp.io.IOUtils
 
backupName(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
baseline - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
baseTestDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
baseTrainDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
basicCategory(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Returns the basic syntactic category of a String.
basicCategory(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Returns the basic syntactic category of a String by truncating stuff after a (non-word-initial) occurrence of one of the labelAnnotationIntroducingCharacters().
BasicDatum<LabelType,FeatureType> - Class in edu.stanford.nlp.ling
Basic implementation of Datum interface that can be constructed with a Collection of features and one more more labels.
BasicDatum(Collection<FeatureType>, Collection<LabelType>) - Constructor for class edu.stanford.nlp.ling.BasicDatum
Constructs a new BasicDatum with the given features and labels.
BasicDatum(Collection<FeatureType>, LabelType) - Constructor for class edu.stanford.nlp.ling.BasicDatum
Constructs a new BasicDatum with the given features and label.
BasicDatum(Collection<FeatureType>) - Constructor for class edu.stanford.nlp.ling.BasicDatum
Constructs a new BasicDatum with the given features and no labels.
BasicDatum() - Constructor for class edu.stanford.nlp.ling.BasicDatum
Constructs a new BasicDatum with no features or labels.
Beam<T> - Class in edu.stanford.nlp.util
Implements a finite beam, taking a comparator (default is ScoredComparator.ASCENDING_COMPARATOR, the MAX object according to the comparator is the one to be removed) and a beam size on construction (default is 100).
Beam() - Constructor for class edu.stanford.nlp.util.Beam
 
Beam(int) - Constructor for class edu.stanford.nlp.util.Beam
 
Beam(int, Comparator<? super T>) - Constructor for class edu.stanford.nlp.util.Beam
 
BeamBestSequenceFinder - Class in edu.stanford.nlp.sequences
An class capable of computing the best sequence given a SequenceModel.
BeamBestSequenceFinder(int) - Constructor for class edu.stanford.nlp.sequences.BeamBestSequenceFinder
 
BeamBestSequenceFinder(int, boolean) - Constructor for class edu.stanford.nlp.sequences.BeamBestSequenceFinder
 
BeamBestSequenceFinder(int, boolean, boolean) - Constructor for class edu.stanford.nlp.sequences.BeamBestSequenceFinder
 
beamSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
before() - Method in class edu.stanford.nlp.ling.CoreLabel
before() - Method in interface edu.stanford.nlp.ling.HasContext
 
beginPosition() - Method in class edu.stanford.nlp.ling.CoreLabel
 
beginPosition() - Method in interface edu.stanford.nlp.ling.HasOffset
Return the beginning character offset of the label (or -1 if none).
beginPosition() - Method in class edu.stanford.nlp.ling.StringLabel
 
bestSequence(SequenceModel) - Method in class edu.stanford.nlp.sequences.BeamBestSequenceFinder
 
bestSequence(SequenceModel, int) - Method in class edu.stanford.nlp.sequences.BeamBestSequenceFinder
 
bestSequence(SequenceModel) - Method in interface edu.stanford.nlp.sequences.BestSequenceFinder
 
bestSequence(SequenceModel) - Method in class edu.stanford.nlp.sequences.ExactBestSequenceFinder
Runs the Viterbi algorithm on the sequence model given by the TagScorer in order to find the best sequence.
bestSequence(SequenceModel) - Method in class edu.stanford.nlp.sequences.KBestSequenceFinder
Runs the Viterbi algorithm on the sequence model given by the TagScorer in order to find the best sequence.
bestSequence(SequenceModel) - 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.
bestSequence(SequenceModel) - Method in class edu.stanford.nlp.sequences.SequenceSampler
Runs the Viterbi algorithm on the sequence model given by the TagScorer in order to find the best sequence.
BestSequenceFinder - Interface in edu.stanford.nlp.sequences
An interface for classes capable of computing the best sequence given a SequenceModel.
BiasedLogConditionalObjectiveFunction - Class in edu.stanford.nlp.classify
Maximizes the conditional likelihood with a given prior.
BiasedLogConditionalObjectiveFunction(GeneralDataset<?, ?>, double[][]) - Constructor for class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
BiasedLogConditionalObjectiveFunction(GeneralDataset<?, ?>, double[][], LogPrior) - Constructor for class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
BiasedLogConditionalObjectiveFunction(int, int, int[][], int[], double[][]) - Constructor for class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
BiasedLogConditionalObjectiveFunction(int, int, int[][], int[], double[][], LogPrior) - Constructor for class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
biasedTrainFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
BinaryHeapPriorityQueue<E> - Class in edu.stanford.nlp.util
PriorityQueue with explicit double priority values.
BinaryHeapPriorityQueue() - Constructor for class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
BinaryHeapPriorityQueue(int) - Constructor for class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
BinaryHeapPriorityQueue(MapFactory<Object, BinaryHeapPriorityQueue.Entry<E>>) - Constructor for class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
BinaryHeapPriorityQueue(MapFactory<Object, BinaryHeapPriorityQueue.Entry<E>>, int) - Constructor for class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
binnedLengths - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
bioSubmitOutput - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
blankDocument() - Method in interface edu.stanford.nlp.ling.Document
Returns a new empty Document with the same meta-data (title, labels, etc) as this Document.
BobChrisTreeNormalizer - Class in edu.stanford.nlp.trees
Normalizes trees in the way used in Manning and Carpenter 1997.
BobChrisTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.BobChrisTreeNormalizer
 
BobChrisTreeNormalizer(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.BobChrisTreeNormalizer
 
BobChrisTreeNormalizer.AOverAFilter - Class in edu.stanford.nlp.trees
 
BobChrisTreeNormalizer.AOverAFilter() - Constructor for class edu.stanford.nlp.trees.BobChrisTreeNormalizer.AOverAFilter
 
BobChrisTreeNormalizer.EmptyFilter - Class in edu.stanford.nlp.trees
 
BobChrisTreeNormalizer.EmptyFilter() - Constructor for class edu.stanford.nlp.trees.BobChrisTreeNormalizer.EmptyFilter
 
booleanArrToByteArr(boolean[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
booleanArrToByteArr(boolean[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
booleanArrToByteArr(byte[], int, boolean[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
booleanFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
BOUNDARY - Static variable in class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
 
box(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
box(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
breakingTags - Static variable in class edu.stanford.nlp.util.XMLUtils
Block-level HTML tags that are rendered with surrounding line breaks.
bSize - Variable in class edu.stanford.nlp.optimization.StochasticInPlaceMinimizer
 
bSize - Static variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
byteArrToAString(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToAString(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToAStringArr(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToAStringArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToAStringArr(byte[], int, String[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToBoolean(byte[], int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToBooleanArr(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToBooleanArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToBooleanArr(byte[], int, boolean[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToChar(byte[], int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToCharArr(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToCharArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToCharArr(byte[], int, char[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToDouble(byte[], int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToDoubleArr(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
This method allocates a new double[] to return, based on the size of the array b (namely b.length / 8 in size)
byteArrToDoubleArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToDoubleArr(byte[], int, double[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToFloat(byte[], int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToFloatArr(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToFloatArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToFloatArr(byte[], int, float[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToInt(byte[], int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToIntArr(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToIntArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToIntArr(byte[], int, int[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToLong(byte[], int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToLongArr(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToLongArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToLongArr(byte[], int, long[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToShort(byte[], int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToShortArr(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToShortArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToShortArr(byte[], int, short[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToUString(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToUString(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToUStringArr(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToUStringArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToUStringArr(byte[], int, String[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
ByteStreamGobbler - Class in edu.stanford.nlp.util
Stream Gobbler that read and write bytes (can be used to gobble byte based stdout from a process.exec into a file)
ByteStreamGobbler(InputStream, OutputStream) - Constructor for class edu.stanford.nlp.util.ByteStreamGobbler
 
ByteStreamGobbler(String, InputStream, OutputStream) - Constructor for class edu.stanford.nlp.util.ByteStreamGobbler
 
ByteStreamGobbler(String, InputStream, OutputStream, int) - Constructor for class edu.stanford.nlp.util.ByteStreamGobbler
 
byteValue() - Method in class edu.stanford.nlp.util.MutableDouble
 
byteValue() - Method in class edu.stanford.nlp.util.MutableInteger
 
BZip2PipedOutputStream - Class in edu.stanford.nlp.io
Opens a outputstream for writing into a bzip2 file by piping into the bzip2 command.
BZip2PipedOutputStream(String) - Constructor for class edu.stanford.nlp.io.BZip2PipedOutputStream
 
BZip2PipedOutputStream(String, OutputStream) - Constructor for class edu.stanford.nlp.io.BZip2PipedOutputStream
 

C

c - Variable in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
The underlying Collection of input sources.
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(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
calculatesHessianVectorProduct() - Method in enum edu.stanford.nlp.optimization.StochasticCalculateMethods
 
calculateStochastic(double[], double[], int[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
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
 
calculateStochasticGradientOnly(double[], int[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
calculateStochasticGradientOnly(double[], int[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
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 NOTE: This function does not do regularization (regularization is done by minimizer)
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
calculateWeird(float[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
calculateWeird1(float[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
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.
casedDistSim - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
Whether to (not) lowercase tokens before looking them up in distsim lexicon.
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
 
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.
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
 
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.
CCtransform(Tree) - Static method in class edu.stanford.nlp.trees.CoordinationTransformer
Transforms t if it contains a coordination in a flat structure
cf - Variable in class edu.stanford.nlp.util.CollectionValuedMap
 
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.
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.
charArrToByteArr(char[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
charArrToByteArr(char[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
charArrToByteArr(byte[], int, char[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
charHalfWindow - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
charToAscii(char) - Static method in class edu.stanford.nlp.maxent.Convert
 
checkConstructor(Object...) - Method in class edu.stanford.nlp.util.MetaClass
 
checkFile(File) - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
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
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.
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.
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
 
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
 
chineseLeftParenthesisAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
chineseLeftQuoteMarkAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
chineseOtherAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
chineseParenthesisAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
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
 
ChineseTreebankLanguagePack - Class in edu.stanford.nlp.trees.international.pennchinese
Language pack for the UPenn/Colorado Chinese treebank.
ChineseTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
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' 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' removed.
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.
ChunkAnnotationUtils - Class in edu.stanford.nlp.pipeline
Utility functions for annotating chunks
ChunkAnnotationUtils() - Constructor for class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
 
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(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.
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 a List of something that extendsCoreMap.
classify(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFBiasedClassifier
 
classify(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
classifyAndWriteAnswers(String, DocumentReaderAndWriter) - 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) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
classifyAndWriteAnswers(String, String, DocumentReaderAndWriter) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
classifyAndWriteAnswers(Collection<File>, DocumentReaderAndWriter) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
classifyAndWriteAnswers(ObjectBank<List<IN>>, OutputStream, DocumentReaderAndWriter) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
classifyAndWriteAnswers(Collection<List<IN>>, List<Pair<int[][][], int[]>>, OutputStream, DocumentReaderAndWriter) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
classifyAndWriteAnswersKBest(String, int, DocumentReaderAndWriter) - 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).
classifyAndWriteViterbiSearchGraph(String, String, DocumentReaderAndWriter) - 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.
classifyGibbs(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
classifyGibbs(List<IN>, Pair<int[][][], int[]>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
classifyGibbsUsingPrior(List<IN>, SequenceModel[], SequenceListener[], double[]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
classifyGibbsUsingPrior(List<IN>, SequenceModel, SequenceListener, double, 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
 
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) - 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.
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.crf.CRFClassifier
 
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.EntityCachingAbstractSequencePrior
 
classIndex - Variable in class edu.stanford.nlp.ie.UniformPrior
 
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
 
CLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "clausal complement" grammatical relation.
CLAUSAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "clausal passive subject" grammatical relation.
CLAUSAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "clausal subject" grammatical relation.
clean() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
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
 
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.objectbank.ObjectBank
 
clear() - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
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.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.ConcurrentHashSet
 
clear() - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
This is more expensive than normal.
clear() - Method in class edu.stanford.nlp.util.DeltaMap
This is more expensive than normal.
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
 
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
 
clearDocument() - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
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 hte 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
 
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
 
CliqueTemplates - Class in edu.stanford.nlp.ie.pascal
Template information and counters corresponding to sampling on one document.
CliqueTemplates() - Constructor for class edu.stanford.nlp.ie.pascal.CliqueTemplates
 
clone() - Method in class edu.stanford.nlp.stats.IntCounter
 
clone() - Method in class edu.stanford.nlp.util.CollectionValuedMap
 
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.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.SystemUtils.ProcessOutputStream
 
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
 
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
 
codeTable - Static variable in class edu.stanford.nlp.maxent.Convert
 
CoindexNodes - Class in edu.stanford.nlp.trees.tregex.tsurgeon
 
CoindexNodes(TsurgeonPattern[]) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.CoindexNodes
 
collapseDependencies(List<TypedDependency>, boolean) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Destructively modify the Collection<TypedDependency> to collapse language-dependent transitive dependencies.
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.
collapseNN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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.ArrayListFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory.ArrayListFactory
 
CollectionFactory.HashSetFactory<T> - Class in edu.stanford.nlp.util
 
CollectionFactory.HashSetFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory.HashSetFactory
 
CollectionFactory.LinkedListFactory<T> - Class in edu.stanford.nlp.util
 
CollectionFactory.LinkedListFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory.LinkedListFactory
 
CollectionFactory.SizedArrayListFactory<T> - Class in edu.stanford.nlp.util
 
CollectionFactory.SizedArrayListFactory(int) - Constructor for class edu.stanford.nlp.util.CollectionFactory.SizedArrayListFactory
 
CollectionFactory.TreeSetFactory<T> - Class in edu.stanford.nlp.util
 
CollectionFactory.TreeSetFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory.TreeSetFactory
 
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
Map from keys to Collections.
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.
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
 
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.
CollocationFinder(Tree, WordNetConnection, HeadFinder, boolean) - Constructor for class edu.stanford.nlp.trees.CollocationFinder
Construct a new CollocationFinder over the Tree t.
colorToHTML(Color) - Static method in class edu.stanford.nlp.ie.crf.NERGUI
 
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
combine(CRFClassifier<IN>, double) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Combines weighted crf with this crf
combo - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
comboProps - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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.
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.
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(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(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.
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.
COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "complement" grammatical relation.
COMPLEMENTIZER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "complementizer" grammatical relation.
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
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
 
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
computeAverage(Function<Triple<GeneralDataset<L, F>, GeneralDataset<L, F>, CrossValidator.SavedState>, Double>) - Method in class edu.stanford.nlp.classify.CrossValidator
This computes the average over all folds of the function we're trying to optimize.
computeProb(InfoTemplate) - Method in class edu.stanford.nlp.ie.pascal.AcronymModel
Scores the partial template containing only the fields relevant to the score.
computeProb(PascalTemplate) - Method in class edu.stanford.nlp.ie.pascal.AcronymModel
Scores the PascalTemplate using the fields it contains which are relevant to the score.
computeProb(PascalTemplate) - Method in interface edu.stanford.nlp.ie.pascal.RelationalModel
 
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_TOKENS - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
 
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
 
ConcurrentHashSet<E> - Class in edu.stanford.nlp.util
A thin wrapper on a ConcurrentHashMap, turning it into a ConcurrentHashSet.
ConcurrentHashSet() - Constructor for class edu.stanford.nlp.util.ConcurrentHashSet
 
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.
condLogProbGivenNext(int, int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
condLogProbGivenNext(int, Object, Object[]) - 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, Object, Object[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
condLogProbsGivenNext(int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
condLogProbsGivenNext(int, Object[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
condLogProbsGivenPrevious(int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
condLogProbsGivenPrevious(int, Object[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
condProbGivenNext(int, int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
condProbGivenNext(int, Object, Object[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
condProbGivenPrevious(int, int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
condProbGivenPrevious(int, Object, Object[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
confidenceWeightedAccuracy() - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
confusionMatrix - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
conjoinShapeNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
CONJUNCT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "conjunct" grammatical relation.
CoNLLDocumentReaderAndWriter - Class in edu.stanford.nlp.sequences
DocumentReader for the original CoNLL 03 format.
CoNLLDocumentReaderAndWriter() - Constructor for class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
 
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.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, boolean) - Method in class edu.stanford.nlp.trees.Tree
Returns the Constituents generated by the parse tree.
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(List<IN>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
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.ConcurrentHashSet
 
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
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.ConcurrentHashSet
 
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
 
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(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
Does the word exist in the dictionary?
containsKey(Class<KEY>) - 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.DeltaCollectionValuedMap
 
containsKey(Object) - Method in class edu.stanford.nlp.util.DeltaMap
This is more expensive.
containsKey(Class<KEY>) - Method in interface edu.stanford.nlp.util.TypesafeMap
Returns true if contains the given key.
containsNaN() - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
containsNaN() - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
containsObject(Collection<T>, T) - Static method in class edu.stanford.nlp.util.CollectionUtils
Checks whether a Collection contains a specified Object.
containsValue(Object) - Method in class edu.stanford.nlp.util.CollectionValuedMap
Unsupported.
containsValue(Object) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
 
continuingInputs() - Method in class edu.stanford.nlp.fsm.DFSAState
 
CONTROLLING_SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "controlling subject" grammatical relation.
Convert - Class in edu.stanford.nlp.maxent
This is used to convert an array of double into byte array which makes it possible to keep it more efficiently.
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.
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() - Constructor for class edu.stanford.nlp.trees.CoordinationTransformer
 
COPULA - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "copula" grammatical relation.
copy(float[], float[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
 
copy(double[], double[]) - 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(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
 
copyDocument() - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
copyOf(double[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
Simulate Arrays.copyOf method provided by Java 6 When/if the JavaNLP-core code base moves past Java 5, this method can be removed
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 CoreMaps.
CoreAnnotations.AbbrAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.AbbrAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AbbrAnnotation
 
CoreAnnotations.AbgeneAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.AbgeneAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AbgeneAnnotation
 
CoreAnnotations.AbstrAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.AbstrAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AbstrAnnotation
 
CoreAnnotations.AfterAnnotation - Class in edu.stanford.nlp.ling
Annotation for the whitespace characters appear after this word.
CoreAnnotations.AfterAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AfterAnnotation
 
CoreAnnotations.AnswerAnnotation - Class in edu.stanford.nlp.ling
The standard key for the answer which is a String
CoreAnnotations.AnswerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AnswerAnnotation
 
CoreAnnotations.AnswerObjectAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.AnswerObjectAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AnswerObjectAnnotation
 
CoreAnnotations.AntecedentAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key identifying the annotation's antecedent.
CoreAnnotations.AntecedentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AntecedentAnnotation
 
CoreAnnotations.ArgDescendentAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.ArgDescendentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ArgDescendentAnnotation
 
CoreAnnotations.ArgumentAnnotation - Class in edu.stanford.nlp.ling
The standard key for a propbank label which is of type Argument
CoreAnnotations.ArgumentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ArgumentAnnotation
 
CoreAnnotations.BagOfWordsAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.BagOfWordsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BagOfWordsAnnotation
 
CoreAnnotations.BeAnnotation - Class in edu.stanford.nlp.ling
annotation stolen from the lex parser
CoreAnnotations.BeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BeAnnotation
 
CoreAnnotations.BeforeAnnotation - Class in edu.stanford.nlp.ling
Annotation for the whitespace characters appearing before this word.
CoreAnnotations.BeforeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BeforeAnnotation
 
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.BeginIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BeginIndexAnnotation
 
CoreAnnotations.BestCliquesAnnotation - Class in edu.stanford.nlp.ling
Used in Task3 Pascal system
CoreAnnotations.BestCliquesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BestCliquesAnnotation
 
CoreAnnotations.BestFullAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.BestFullAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BestFullAnnotation
 
CoreAnnotations.CalendarAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key identifying the date and time associated with an annotation.
CoreAnnotations.CalendarAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CalendarAnnotation
 
CoreAnnotations.CategoryAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.CategoryAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CategoryAnnotation
 
CoreAnnotations.CategoryFunctionalTagAnnotation - Class in edu.stanford.nlp.ling
The standard key for storing category with functional tags.
CoreAnnotations.CategoryFunctionalTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CategoryFunctionalTagAnnotation
 
CoreAnnotations.CharacterOffsetBeginAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key identifying the offset of the first character of an annotation.
CoreAnnotations.CharacterOffsetBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetBeginAnnotation
 
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.CharacterOffsetEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetEndAnnotation
 
CoreAnnotations.CharAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.CharAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CharAnnotation
 
CoreAnnotations.ChineseCharAnnotation - Class in edu.stanford.nlp.ling
for Chinese: character level information, segmentation
CoreAnnotations.ChineseCharAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseCharAnnotation
 
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.ChineseIsSegmentedAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseIsSegmentedAnnotation
 
CoreAnnotations.ChineseOrigSegAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.ChineseOrigSegAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseOrigSegAnnotation
 
CoreAnnotations.ChineseSegAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.ChineseSegAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseSegAnnotation
 
CoreAnnotations.ChunkAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.ChunkAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChunkAnnotation
 
CoreAnnotations.CoarseTagAnnotation - Class in edu.stanford.nlp.ling
CoNLL dep parsing - coarser POS tags.
CoreAnnotations.CoarseTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoarseTagAnnotation
 
CoreAnnotations.CommonWordsAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.CommonWordsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CommonWordsAnnotation
 
CoreAnnotations.CoNLLDepAnnotation - Class in edu.stanford.nlp.ling
CoNLL dep parsing - the dependency type
CoreAnnotations.CoNLLDepAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepAnnotation
 
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.CoNLLDepParentIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepParentIndexAnnotation
 
CoreAnnotations.CoNLLDepTypeAnnotation - Class in edu.stanford.nlp.ling
CoNLL dep parsing - the dependency type
CoreAnnotations.CoNLLDepTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepTypeAnnotation
 
CoreAnnotations.CoNLLPredicateAnnotation - Class in edu.stanford.nlp.ling
CoNLL SRL/dep parsing - whether the word is a predicate
CoreAnnotations.CoNLLPredicateAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLPredicateAnnotation
 
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.CoNLLSRLAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLSRLAnnotation
 
CoreAnnotations.ContextsAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.ContextsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ContextsAnnotation
 
CoreAnnotations.CopyAnnotation - Class in edu.stanford.nlp.ling
Used in nlp.trees.
CoreAnnotations.CopyAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CopyAnnotation
 
CoreAnnotations.CostMagnificationAnnotation - Class in edu.stanford.nlp.ling
Key for relative value of a word - used in RTE
CoreAnnotations.CostMagnificationAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CostMagnificationAnnotation
 
CoreAnnotations.CovertIDAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.CovertIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CovertIDAnnotation
 
CoreAnnotations.D2_LBeginAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.D2_LBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.D2_LBeginAnnotation
 
CoreAnnotations.D2_LEndAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.D2_LEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.D2_LEndAnnotation
 
CoreAnnotations.D2_LMiddleAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.D2_LMiddleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.D2_LMiddleAnnotation
 
CoreAnnotations.DayAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.DayAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DayAnnotation
 
CoreAnnotations.DependentsAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.DependentsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DependentsAnnotation
 
CoreAnnotations.DictAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.DictAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DictAnnotation
 
CoreAnnotations.DistSimAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.DistSimAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DistSimAnnotation
 
CoreAnnotations.DoAnnotation - Class in edu.stanford.nlp.ling
annotation stolen from the lex parser
CoreAnnotations.DoAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DoAnnotation
 
CoreAnnotations.DocDateAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.DocDateAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocDateAnnotation
 
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.DocIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocIDAnnotation
 
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.DomainAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DomainAnnotation
 
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.EndIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EndIndexAnnotation
 
CoreAnnotations.EntityClassAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.EntityClassAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityClassAnnotation
 
CoreAnnotations.EntityRuleAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.EntityRuleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityRuleAnnotation
 
CoreAnnotations.EntityTypeAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.EntityTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityTypeAnnotation
 
CoreAnnotations.FeaturesAnnotation - Class in edu.stanford.nlp.ling
The standard key for the features which is a Collection
CoreAnnotations.FeaturesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FeaturesAnnotation
 
CoreAnnotations.FemaleGazAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.FemaleGazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FemaleGazAnnotation
 
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.FirstChildAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FirstChildAnnotation
 
CoreAnnotations.ForcedSentenceEndAnnotation - Class in edu.stanford.nlp.ling
This indicates the sentence should end at this token.
CoreAnnotations.ForcedSentenceEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ForcedSentenceEndAnnotation
 
CoreAnnotations.FreqAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.FreqAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FreqAnnotation
 
CoreAnnotations.GazAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.GazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GazAnnotation
 
CoreAnnotations.GazetteerAnnotation - Class in edu.stanford.nlp.ling
The standard key for the gazetteer information
CoreAnnotations.GazetteerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GazetteerAnnotation
 
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.GenericTokensAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GenericTokensAnnotation
 
CoreAnnotations.GeniaAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.GeniaAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GeniaAnnotation
 
CoreAnnotations.GoldAnswerAnnotation - Class in edu.stanford.nlp.ling
The standard key for gold answer which is a String
CoreAnnotations.GoldAnswerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GoldAnswerAnnotation
 
CoreAnnotations.GovernorAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.GovernorAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GovernorAnnotation
 
CoreAnnotations.GrandparentAnnotation - Class in edu.stanford.nlp.ling
specifies the base state of the parent of this node in the parse tree
CoreAnnotations.GrandparentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GrandparentAnnotation
 
CoreAnnotations.HaveAnnotation - Class in edu.stanford.nlp.ling
annotation stolen from the lex parser
CoreAnnotations.HaveAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.HaveAnnotation
 
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.HeadWordStringAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.HeadWordStringAnnotation
 
CoreAnnotations.HeightAnnotation - Class in edu.stanford.nlp.ling
Used in srl.unsup
CoreAnnotations.HeightAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.HeightAnnotation
 
CoreAnnotations.IDAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.IDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IDAnnotation
 
CoreAnnotations.IDFAnnotation - Class in edu.stanford.nlp.ling
Inverse document frequency of the word this label represents
CoreAnnotations.IDFAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IDFAnnotation
 
CoreAnnotations.INAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.INAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.INAnnotation
 
CoreAnnotations.IndexAnnotation - Class in edu.stanford.nlp.ling
This indexes a token number inside a sentence.
CoreAnnotations.IndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IndexAnnotation
 
CoreAnnotations.InterpretationAnnotation - Class in edu.stanford.nlp.ling
The standard key for the semantic interpretation
CoreAnnotations.InterpretationAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.InterpretationAnnotation
 
CoreAnnotations.IsDateRangeAnnotation - Class in edu.stanford.nlp.ling
it really seems like this should have a different name or else be a boolean
CoreAnnotations.IsDateRangeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IsDateRangeAnnotation
 
CoreAnnotations.IsURLAnnotation - Class in edu.stanford.nlp.ling
it really seems like this should have a different name or else be a boolean
CoreAnnotations.IsURLAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IsURLAnnotation
 
CoreAnnotations.LabelAnnotation - Class in edu.stanford.nlp.ling
Used in wsd.supwsd package
CoreAnnotations.LabelAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LabelAnnotation
 
CoreAnnotations.LastGazAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LastGazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LastGazAnnotation
 
CoreAnnotations.LastTaggedAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LastTaggedAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LastTaggedAnnotation
 
CoreAnnotations.LBeginAnnotation - Class in edu.stanford.nlp.ling
Used in Gale2007ChineseSegmenter
CoreAnnotations.LBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LBeginAnnotation
 
CoreAnnotations.LeftChildrenNodeAnnotation - Class in edu.stanford.nlp.ling
used in incremental DAG parser
CoreAnnotations.LeftChildrenNodeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LeftChildrenNodeAnnotation
 
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.LeftTermAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LeftTermAnnotation
 
CoreAnnotations.LemmaAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key for getting the lemma (morphological stem) of a token.
CoreAnnotations.LemmaAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LemmaAnnotation
 
CoreAnnotations.LEndAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LEndAnnotation
 
CoreAnnotations.LengthAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LengthAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LengthAnnotation
 
CoreAnnotations.LMiddleAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LMiddleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LMiddleAnnotation
 
CoreAnnotations.MaleGazAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.MaleGazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MaleGazAnnotation
 
CoreAnnotations.MarkingAnnotation - Class in edu.stanford.nlp.ling
Another key used for propbank - to signify core arg nodes or predicate nodes
CoreAnnotations.MarkingAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MarkingAnnotation
 
CoreAnnotations.MonthAnnotation - Class in edu.stanford.nlp.ling
Used in nlp.coref
CoreAnnotations.MonthAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MonthAnnotation
 
CoreAnnotations.MorphoCaseAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.MorphoCaseAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MorphoCaseAnnotation
 
CoreAnnotations.MorphoGenAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.MorphoGenAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MorphoGenAnnotation
 
CoreAnnotations.MorphoNumAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.MorphoNumAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MorphoNumAnnotation
 
CoreAnnotations.MorphoPersAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.MorphoPersAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MorphoPersAnnotation
 
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.NamedEntityTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NamedEntityTagAnnotation
 
CoreAnnotations.NeighborsAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NeighborsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NeighborsAnnotation
 
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.NERIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NERIDAnnotation
 
CoreAnnotations.NormalizedNamedEntityTagAnnotation - Class in edu.stanford.nlp.ling
The key for the normalized value of numeric named entities.
CoreAnnotations.NormalizedNamedEntityTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NormalizedNamedEntityTagAnnotation
 
CoreAnnotations.NotAnnotation - Class in edu.stanford.nlp.ling
annotation stolen from the lex parser
CoreAnnotations.NotAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NotAnnotation
 
CoreAnnotations.NumericCompositeObjectAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NumericCompositeObjectAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericCompositeObjectAnnotation
 
CoreAnnotations.NumericCompositeTypeAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NumericCompositeTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericCompositeTypeAnnotation
 
CoreAnnotations.NumericCompositeValueAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NumericCompositeValueAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericCompositeValueAnnotation
 
CoreAnnotations.NumericObjectAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NumericObjectAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericObjectAnnotation
 
CoreAnnotations.NumericTypeAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NumericTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericTypeAnnotation
 
CoreAnnotations.NumericValueAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NumericValueAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericValueAnnotation
 
CoreAnnotations.NumerizedTokensAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NumerizedTokensAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumerizedTokensAnnotation
 
CoreAnnotations.NumTxtSentencesAnnotation - Class in edu.stanford.nlp.ling
Used by RTE to track number of text sentences, to determine when hyp sentences begin.
CoreAnnotations.NumTxtSentencesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumTxtSentencesAnnotation
 
CoreAnnotations.OriginalAnswerAnnotation - Class in edu.stanford.nlp.ling
Seems like this could be consolidated with something else...
CoreAnnotations.OriginalAnswerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.OriginalAnswerAnnotation
 
CoreAnnotations.OriginalCharAnnotation - Class in edu.stanford.nlp.ling
Seems like this could be consolidated with something else...
CoreAnnotations.OriginalCharAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.OriginalCharAnnotation
 
CoreAnnotations.OriginalTextAnnotation - Class in edu.stanford.nlp.ling
The exact original surface form of a token.
CoreAnnotations.OriginalTextAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.OriginalTextAnnotation
 
CoreAnnotations.ParagraphAnnotation - Class in edu.stanford.nlp.ling
used in dcoref.
CoreAnnotations.ParagraphAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ParagraphAnnotation
 
CoreAnnotations.ParagraphsAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key for getting the paragraphs contained by an annotation.
CoreAnnotations.ParagraphsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ParagraphsAnnotation
 
CoreAnnotations.ParaPositionAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.ParaPositionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ParaPositionAnnotation
 
CoreAnnotations.ParentAnnotation - Class in edu.stanford.nlp.ling
The standard key for the parent which is a String
CoreAnnotations.ParentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ParentAnnotation
 
CoreAnnotations.PartOfSpeechAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key for getting the Penn part of speech of a token.
CoreAnnotations.PartOfSpeechAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PartOfSpeechAnnotation
 
CoreAnnotations.PercentAnnotation - Class in edu.stanford.nlp.ling
annotation stolen from the lex parser
CoreAnnotations.PercentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PercentAnnotation
 
CoreAnnotations.PhraseWordsAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.PhraseWordsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PhraseWordsAnnotation
 
CoreAnnotations.PhraseWordsTagAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.PhraseWordsTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PhraseWordsTagAnnotation
 
CoreAnnotations.PolarityAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.PolarityAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PolarityAnnotation
 
CoreAnnotations.PositionAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.PositionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PositionAnnotation
 
CoreAnnotations.PossibleAnswersAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.PossibleAnswersAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PossibleAnswersAnnotation
 
CoreAnnotations.PredictedAnswerAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.PredictedAnswerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PredictedAnswerAnnotation
 
CoreAnnotations.PrevChildAnnotation - Class in edu.stanford.nlp.ling
used in binarized trees to say the name of the most recent child
CoreAnnotations.PrevChildAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PrevChildAnnotation
 
CoreAnnotations.PriorAnnotation - Class in edu.stanford.nlp.ling
Used in propbank.srl
CoreAnnotations.PriorAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PriorAnnotation
 
CoreAnnotations.ProjectedCategoryAnnotation - Class in edu.stanford.nlp.ling
The standard key for storing a projected category in the map, as a String.
CoreAnnotations.ProjectedCategoryAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ProjectedCategoryAnnotation
 
CoreAnnotations.ProtoAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.ProtoAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ProtoAnnotation
 
CoreAnnotations.RoleAnnotation - Class in edu.stanford.nlp.ling
The standard key for the semantic role label of a phrase.
CoreAnnotations.RoleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.RoleAnnotation
 
CoreAnnotations.SectionAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.SectionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SectionAnnotation
 
CoreAnnotations.SemanticHeadTagAnnotation - Class in edu.stanford.nlp.ling
The standard key for Semantic Head Word POS which is a String
CoreAnnotations.SemanticHeadTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SemanticHeadTagAnnotation
 
CoreAnnotations.SemanticHeadWordAnnotation - Class in edu.stanford.nlp.ling
The standard key for Semantic Head Word which is a String
CoreAnnotations.SemanticHeadWordAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SemanticHeadWordAnnotation
 
CoreAnnotations.SemanticTagAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.SemanticTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SemanticTagAnnotation
 
CoreAnnotations.SemanticWordAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.SemanticWordAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SemanticWordAnnotation
 
CoreAnnotations.SentenceIDAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.SentenceIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SentenceIDAnnotation
 
CoreAnnotations.SentenceIndexAnnotation - Class in edu.stanford.nlp.ling
Unique identifier within a document for a given sentence.
CoreAnnotations.SentenceIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SentenceIndexAnnotation
 
CoreAnnotations.SentencePositionAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.SentencePositionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SentencePositionAnnotation
 
CoreAnnotations.SentencesAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key for getting the sentences contained by an annotation.
CoreAnnotations.SentencesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SentencesAnnotation
 
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.ShapeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ShapeAnnotation
 
CoreAnnotations.SpaceBeforeAnnotation - Class in edu.stanford.nlp.ling
Used in Chinese segmenters for whether there was space before a character.
CoreAnnotations.SpaceBeforeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SpaceBeforeAnnotation
 
CoreAnnotations.SpanAnnotation - Class in edu.stanford.nlp.ling
The standard key for span which is an IntPair
CoreAnnotations.SpanAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SpanAnnotation
 
CoreAnnotations.SpeakerAnnotation - Class in edu.stanford.nlp.ling
used in dcoref.
CoreAnnotations.SpeakerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SpeakerAnnotation
 
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.SRLIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SRLIDAnnotation
 
CoreAnnotations.SRLInstancesAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.SRLInstancesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SRLInstancesAnnotation
 
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.StackedNamedEntityTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.StackedNamedEntityTagAnnotation
 
CoreAnnotations.StateAnnotation - Class in edu.stanford.nlp.ling
The base version of the parser state, like NP or VBZ or ...
CoreAnnotations.StateAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.StateAnnotation
 
CoreAnnotations.StemAnnotation - Class in edu.stanford.nlp.ling
Morphological stem of the word this label represents
CoreAnnotations.StemAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.StemAnnotation
 
CoreAnnotations.SubcategorizationAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.SubcategorizationAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SubcategorizationAnnotation
 
CoreAnnotations.TagLabelAnnotation - Class in edu.stanford.nlp.ling
Used in Trees
CoreAnnotations.TagLabelAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TagLabelAnnotation
 
CoreAnnotations.TextAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key identifying the annotation's text.
CoreAnnotations.TextAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TextAnnotation
 
CoreAnnotations.TokenBeginAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key identifying the first token included in an annotation.
CoreAnnotations.TokenBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TokenBeginAnnotation
 
CoreAnnotations.TokenEndAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key identifying the last token after the end of an annotation.
CoreAnnotations.TokenEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TokenEndAnnotation
 
CoreAnnotations.TokensAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key for getting the tokens contained by an annotation.
CoreAnnotations.TokensAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TokensAnnotation
 
CoreAnnotations.TopicAnnotation - Class in edu.stanford.nlp.ling
Used for Topic Assignments from LDA or its equivalent models.
CoreAnnotations.TopicAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TopicAnnotation
 
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.TrueCaseAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TrueCaseAnnotation
 
CoreAnnotations.TrueCaseTextAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key identifying the annotation's true-cased text.
CoreAnnotations.TrueCaseTextAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TrueCaseTextAnnotation
 
CoreAnnotations.TrueTagAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.TrueTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TrueTagAnnotation
 
CoreAnnotations.UBlockAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.UBlockAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.UBlockAnnotation
 
CoreAnnotations.UnaryAnnotation - Class in edu.stanford.nlp.ling
whether the node is the parent in a unary rule
CoreAnnotations.UnaryAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.UnaryAnnotation
 
CoreAnnotations.UnknownAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.UnknownAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.UnknownAnnotation
 
CoreAnnotations.UtteranceAnnotation - Class in edu.stanford.nlp.ling
used in dcoref.
CoreAnnotations.UtteranceAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.UtteranceAnnotation
 
CoreAnnotations.UTypeAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.UTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.UTypeAnnotation
 
CoreAnnotations.ValueAnnotation - Class in edu.stanford.nlp.ling
Contains the "value" - an ill-defined string used widely in MapLabel.
CoreAnnotations.ValueAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ValueAnnotation
 
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.VerbSenseAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.VerbSenseAnnotation
 
CoreAnnotations.WebAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.WebAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.WebAnnotation
 
CoreAnnotations.WordFormAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.WordFormAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.WordFormAnnotation
 
CoreAnnotations.WordnetSynAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.WordnetSynAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.WordnetSynAnnotation
 
CoreAnnotations.WordPositionAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.WordPositionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.WordPositionAnnotation
 
CoreAnnotations.WordSenseAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.WordSenseAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.WordSenseAnnotation
 
CoreAnnotations.XmlContextAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.XmlContextAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.XmlContextAnnotation
 
CoreAnnotations.XmlElementAnnotation - Class in edu.stanford.nlp.ling
Used in SimpleXMLAnnotator.
CoreAnnotations.XmlElementAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.XmlElementAnnotation
 
CoreAnnotations.YearAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.YearAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.YearAnnotation
 
coreKey - Variable in enum edu.stanford.nlp.ling.AnnotationLookup.KeyLookup
 
CoreLabel - Class in edu.stanford.nlp.ling
A CoreLabel is a Map from keys (which are Class objects) to values, whose type is determined by the key.
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.GenericAnnotation<T> - Interface in edu.stanford.nlp.ling
Class that all "generic" annotations extend.
CoreLabelTokenFactory - Class in edu.stanford.nlp.process
Constructs CoreLabels 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.
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.ConcatAggregator(String) - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatAggregator
 
CoreMapAttributeAggregator.ConcatCoreMapListAggregator<T extends CoreMap> - Class in edu.stanford.nlp.pipeline
 
CoreMapAttributeAggregator.ConcatCoreMapListAggregator() - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatCoreMapListAggregator
 
CoreMapAttributeAggregator.ConcatCoreMapListAggregator(boolean) - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatCoreMapListAggregator
 
CoreMapAttributeAggregator.ConcatListAggregator<T> - Class in edu.stanford.nlp.pipeline
 
CoreMapAttributeAggregator.ConcatListAggregator() - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatListAggregator
 
CoreMapAttributeAggregator.MostFreqAggregator - Class in edu.stanford.nlp.pipeline
 
CoreMapAttributeAggregator.MostFreqAggregator() - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.MostFreqAggregator
 
CoreMapAttributeAggregator.MostFreqAggregator(Set<Object>) - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.MostFreqAggregator
 
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(Collection<TypedDependency>) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Destructively modify the TypedDependencyGraph to correct language-dependent dependencies.
correctGuesses - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
cosine(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
COUNT - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
 
countCloseToZero(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
 
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 Counters.
counterView() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Returns a read-only synchronous view (not a snapshot) of this as a ClassicCounter.
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 the successes and failures of the model on the given document.
covariance(double[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
cPosDef - Variable in class edu.stanford.nlp.optimization.SMDMinimizer
 
crcdate - Variable in class edu.stanford.nlp.ie.pascal.DateTemplate
 
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)
createClassifier(double[]) - Method in interface edu.stanford.nlp.classify.ClassifierCreator
 
createClassifier(double[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory.LinearClassifierCreator
 
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
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
 
createProbabilisticClassifier(double[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory.LinearClassifierCreator
 
createProbabilisticClassifier(double[]) - Method in interface edu.stanford.nlp.classify.ProbabilisticClassifierCreator
 
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
 
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
CRFClassifier.TestSequenceModel - Class in edu.stanford.nlp.ie.crf
 
CRFClassifier.TestSequenceModel(CRFCliqueTree) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifier.TestSequenceModel
 
CRFClassifierEvaluator<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf
Evaluates CRFClassifier on a set of data - called by QNMinimizer periodically - If evalCmd is set, runs command line specified by evalCmd otherwise does evaluation internally NOTE: when running conlleval with exec on Linux, linux will first fork process by duplicating memory of current process.
CRFClassifierEvaluator(String, CRFClassifier<IN>, CRFLogConditionalObjectiveFunction, Collection<List<IN>>, List<Pair<int[][][], int[]>>) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierEvaluator
 
CRFClassifierEvaluator(String, CRFClassifier<IN>) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierEvaluator
 
CRFCliqueTree - Class in edu.stanford.nlp.ie.crf
Builds a CliqueTree (an array of FactorTable) and does message passing inference along it.
CRFDatum<FEAT,LAB> - Class in edu.stanford.nlp.ie.crf
The representation of Datums used internally in CRFClassifier.
CRFDatum(List<FEAT>, LAB) - Constructor for class edu.stanford.nlp.ie.crf.CRFDatum
Constructs a new BasicDatum with the given features and label.
CRFDatum(List<FEAT>) - Constructor for class edu.stanford.nlp.ie.crf.CRFDatum
Constructs a new BasicDatum with the given features and no labels.
CRFFeatureExporter<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf
Exports CRF features for use with other programs - Usage: CRFFeatureExporter -prop -trainFile -exportFeatures - Output file is automatically gzipped/b2zipped if ending in gz/bz2 - bzip2 requires that bzip2 is availaible via command line - Currently exports features in a format that can be read by a modified crfsgd (crfsgd assumes features are gzipped) TODO: Support other formats (like crfsuite)
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
 
CRForder - 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 Pairs
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.
crossValidateSetSigma(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Calls the method LinearClassifierFactory.crossValidateSetSigma(GeneralDataset, int) with 5-fold cross-validation.
crossValidateSetSigma(GeneralDataset<L, F>, int) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
callls the method LinearClassifierFactory.crossValidateSetSigma(GeneralDataset, int, Scorer, LineSearcher) with multi-class log-likelihood scoring (see MultiClassAccuracyStats) and golden-section line search (see GoldenSectionLineSearch).
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 on 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
 
CrossValidator.SavedState() - Constructor for class edu.stanford.nlp.classify.CrossValidator.SavedState
 
CTBTreeReaderFactory - Class in edu.stanford.nlp.trees.international.pennchinese
The CTBTreeReaderFactory is a factory for creating a TreeReader suitable for the Penn 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
 
curElement - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
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.
cutDocument() - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
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
CyclicCoreLabel - Class in edu.stanford.nlp.ling
Version of CoreLabel that allows for cycles in values/keys.
CyclicCoreLabel() - Constructor for class edu.stanford.nlp.ling.CyclicCoreLabel
Default constructor, calls super()
CyclicCoreLabel(Label) - Constructor for class edu.stanford.nlp.ling.CyclicCoreLabel
Copy constructor from any CoreMap.
CyclicCoreLabel(CoreMap) - Constructor for class edu.stanford.nlp.ling.CyclicCoreLabel
Copy constructor from any CoreMap.
CyclicCoreLabel(CoreLabel) - Constructor for class edu.stanford.nlp.ling.CyclicCoreLabel
Copy constructor from any CoreMap.
CyclicCoreLabel(CyclicCoreLabel) - Constructor for class edu.stanford.nlp.ling.CyclicCoreLabel
Copy constructor from any CoreMap.

D

d - Variable in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
d - Variable in class edu.stanford.nlp.optimization.ScaledSGDMinimizer.weight
 
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
 
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.
dataIterable - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
Dataset<L,F> - Class in edu.stanford.nlp.classify
An interfacing class for ClassifierFactory that incrementally builds a more memory-efficient representation of a List of Datum objects for the purposes of training a Classifier with a ClassifierFactory.
Dataset() - 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(int) - 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.
dataweights - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
dateCliqueCounter - Variable in class edu.stanford.nlp.ie.pascal.CliqueTemplates
 
DateTemplate - Class in edu.stanford.nlp.ie.pascal
A partial PascalTemplate.
DateTemplate(String, String, String, String) - Constructor for class edu.stanford.nlp.ie.pascal.DateTemplate
 
Datum<L,F> - Interface in edu.stanford.nlp.ling
Interface for Objects which can be described by their features.
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.
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
 
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<Object, BinaryHeapPriorityQueue.Entry<E>>) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
deepCopy() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
DEFAULT_AGGREGATORS - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
 
DEFAULT_BACKGROUND_SYMBOL - Static variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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_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_GF_CHAR - Static variable in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
 
DEFAULT_NUMERIC_AGGREGATORS - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
 
DEFAULT_NUMERIC_TOKENS_AGGREGATORS - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
 
DEFAULT_TREE_FILE_SUFFIX - Static variable in class edu.stanford.nlp.trees.Treebank
 
defaultCompiler - Static variable in class edu.stanford.nlp.trees.tregex.TregexPatternCompiler
 
defaultDelimitRegExIterator(Reader, String) - Static method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
 
defaultDelimitRegExIteratorFactory(String) - Static method in class edu.stanford.nlp.objectbank.DelimitRegExIterator.DelimitRegExIteratorFactory
 
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
 
defaultRule - Variable in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
Default direction if no rule is found for category.
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
 
dehyphenateNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
delegate - Variable in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
 
deleteBlankLines - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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
DelimitRegExIterator<T> - Class in edu.stanford.nlp.objectbank
An Iterator that reads the contents of a Reader, delimited by the specified delimiter, and then be 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
 
DelimitRegExIterator.DelimitRegExIteratorFactory(String, Function<String, T>) - Constructor for class edu.stanford.nlp.objectbank.DelimitRegExIterator.DelimitRegExIteratorFactory
 
deltaClone() - Method in class edu.stanford.nlp.util.CollectionValuedMap
Creates a "delta clone" of this Map, where only the differences are represented.
DeltaCollectionValuedMap<K,V> - Class in edu.stanford.nlp.util
Implementation of CollectionValuedMap that appears to store an "original" map and changes to that map.
DeltaCollectionValuedMap(CollectionValuedMap<K, V>) - Constructor for class edu.stanford.nlp.util.DeltaCollectionValuedMap
 
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
 
dep() - Method in class edu.stanford.nlp.trees.TypedDependency
 
Dependencies - Class in edu.stanford.nlp.trees
Utilities for Dependency objects.
dependencies - Variable in class edu.stanford.nlp.trees.GrammaticalStructure
 
dependencies() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Returns the set of (governor, dependent) dependencies in this GrammaticalStructure.
dependencies() - Method in class edu.stanford.nlp.trees.Tree
Return a Set of TaggedWord-TaggedWord dependencies, represented as Dependency objects, for the Tree.
dependencies(Filter<Dependency<Label, Label, Object>>) - Method in class edu.stanford.nlp.trees.Tree
 
dependencies(Filter<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(Filter<Dependency<Label, Label, Object>>, HeadFinder) - Method in class edu.stanford.nlp.trees.TreeGraphNode
Return a set of node-node dependencies, represented as Dependency objects, for the Tree.
Dependencies.DependentPuncTagRejectFilter<G extends Label,D extends Label,N> - Class in edu.stanford.nlp.trees
 
Dependencies.DependentPuncTagRejectFilter(Filter<String>) - Constructor for class edu.stanford.nlp.trees.Dependencies.DependentPuncTagRejectFilter
 
Dependencies.DependentPuncWordRejectFilter<G extends Label,D extends Label,N> - Class in edu.stanford.nlp.trees
 
Dependencies.DependentPuncWordRejectFilter(Filter<String>) - Constructor for class edu.stanford.nlp.trees.Dependencies.DependentPuncWordRejectFilter
 
Dependency<G extends Label,D extends Label,N> - Interface in edu.stanford.nlp.trees
An individual dependency between a governor and a dependent.
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
 
dependencyIndexComparator() - Static method in class edu.stanford.nlp.trees.Dependencies
A Comparator for Dependencies based on their dependent annotation.
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 and NP-ADV tags (Note [cdm]: A lot of this overlaps other existing functionality in trees.
DependencyTreeTransformer() - Constructor for class edu.stanford.nlp.trees.DependencyTreeTransformer
 
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
 
dependentText - Variable in class edu.stanford.nlp.trees.UnnamedDependency
 
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.
derivative - Variable in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
 
derivative - Variable in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
derivativeAD - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
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
 
DESCENDING_COMPARATOR - Static variable in class edu.stanford.nlp.util.ScoredComparator
 
description - Variable in class edu.stanford.nlp.optimization.CmdEvaluator
 
deserializeCounter(String) - Static method in class edu.stanford.nlp.stats.Counters
 
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.
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.SemanticHeadFinder
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.
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

Class for representing 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
(D)FSA Transition

Class for representing 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
 
dictionary - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
dictionary2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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
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.
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.
DIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "direct object" grammatical relation.
discretizeCompute(Function<Double, Double>, int, double, double) - Method in class edu.stanford.nlp.optimization.GoldenSectionLineSearch
 
disjunctionWidth - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
DiskTreebank - Class in edu.stanford.nlp.trees
A DiskTreebank is a Collection of Trees.
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.
DISPLAY_SCORES - Static variable in class edu.stanford.nlp.trees.Tree
 
displayError(String, String) - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
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.
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
 
divideBy(FactorTable) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
divideBy(FloatFactorTable) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
divideConst(DoubleAD, double) - Static method in class edu.stanford.nlp.math.ADMath
 
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.
division(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns c1 divided by c2.
doAdaptation - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
doc - Variable in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
doc - Variable in class edu.stanford.nlp.ie.UniformPrior
 
docID() - Method in class edu.stanford.nlp.ling.CoreLabel
docID() - Method in interface edu.stanford.nlp.ling.HasIndex
 
Document<L,F,T> - Interface in edu.stanford.nlp.ling
Represents a text document as a list of Words with a String title.
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 SequenceClassifiers.
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.
doFE - 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 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
domainDimension() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
 
domainDimension() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
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.
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 startDoing 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".
DONT_CAPITALIZE_TIMEX - Static variable in class edu.stanford.nlp.process.Americanize
 
dontExtendTaggy - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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.maxent.Convert
 
doubleArrToByteArr(double[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
doubleArrToByteArr(byte[], int, double[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
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
 
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
 
dropFeaturesBelowThreshold(double) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
dropGaz - 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
 
dump - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
dump() - Method in class edu.stanford.nlp.util.ArrayHeap
 
dumpIntArray(int[]) - Static method in class edu.stanford.nlp.ie.pascal.AlignmentFactory
 
dumpMemory() - Method in class edu.stanford.nlp.optimization.GoldenSectionLineSearch
dump the pairs it computed found
dumpSorted() - Method in class edu.stanford.nlp.classify.LinearClassifier
Print all features in the classifier and the weight that they assign to each class.
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

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.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.pascal - package edu.stanford.nlp.ie.pascal
This package contains classes used for the Pascal Information Extraction Challenge.
edu.stanford.nlp.international - package edu.stanford.nlp.international
 
edu.stanford.nlp.international.morph - package edu.stanford.nlp.international.morph
 
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.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
This package deals with defining and solving maximum entropy problems.
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.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.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.trees - package edu.stanford.nlp.trees
A package for (NLP) trees, sentences, and similar things.
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.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 by Roger Levy.
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.
elements - Variable in class edu.stanford.nlp.util.Beam
 
elems() - Method in class edu.stanford.nlp.util.IntTuple
 
EmpiricalNERPrior<IN extends CoreMap> - Class in edu.stanford.nlp.ie
 
EmpiricalNERPrior(String, Index<String>, List<IN>) - Constructor for class edu.stanford.nlp.ie.EmpiricalNERPrior
 
EMPTY - Static variable in class edu.stanford.nlp.ling.Word
Word representation of an empty.
empty2D() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
empty2D() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
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
 
EMPTYSTRING - Static variable in class edu.stanford.nlp.ling.Word
String representation of an empty.
enc - Variable in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
The encoding for file input.
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.
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.trees.Constituent
access end node.
end() - Method in class edu.stanford.nlp.trees.SimpleConstituent
access end node.
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.
endFold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
endPosition() - Method in class edu.stanford.nlp.ling.CoreLabel
 
endPosition() - Method in interface edu.stanford.nlp.ling.HasOffset
Return the ending character offset of the label (or -1 if none).
endPosition() - Method in class edu.stanford.nlp.ling.StringLabel
 
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).
EnglishGrammaticalRelations - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations is a set of GrammaticalRelation objects for the English language.
EnglishGrammaticalRelations.AbbreviationModifierGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.AbbreviationModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.AbbreviationModifierGRAnnotation
 
EnglishGrammaticalRelations.AdjectivalComplementGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.AdjectivalComplementGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.AdjectivalComplementGRAnnotation
 
EnglishGrammaticalRelations.AdjectivalModifierGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.AdjectivalModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.AdjectivalModifierGRAnnotation
 
EnglishGrammaticalRelations.AdvClauseModifierGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.AdvClauseModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.AdvClauseModifierGRAnnotation
 
EnglishGrammaticalRelations.AdverbialModifierGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.AdverbialModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.AdverbialModifierGRAnnotation
 
EnglishGrammaticalRelations.AgentGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.AgentGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.AgentGRAnnotation
 
EnglishGrammaticalRelations.AppositionalModifierGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.AppositionalModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.AppositionalModifierGRAnnotation
 
EnglishGrammaticalRelations.ArgumentGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.ArgumentGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.ArgumentGRAnnotation
 
EnglishGrammaticalRelations.AttributiveGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.AttributiveGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.AttributiveGRAnnotation
 
EnglishGrammaticalRelations.AuxModifierGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.AuxModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.AuxModifierGRAnnotation
 
EnglishGrammaticalRelations.AuxPassiveGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.AuxPassiveGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.AuxPassiveGRAnnotation
 
EnglishGrammaticalRelations.ClausalComplementGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.ClausalComplementGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.ClausalComplementGRAnnotation
 
EnglishGrammaticalRelations.ClausalPassiveSubjectGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.ClausalPassiveSubjectGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.ClausalPassiveSubjectGRAnnotation
 
EnglishGrammaticalRelations.ClausalSubjectGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.ClausalSubjectGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.ClausalSubjectGRAnnotation
 
EnglishGrammaticalRelations.ComplementGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.ComplementGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.ComplementGRAnnotation
 
EnglishGrammaticalRelations.ComplementizerGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.ComplementizerGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.ComplementizerGRAnnotation
 
EnglishGrammaticalRelations.ConjunctGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.ConjunctGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.ConjunctGRAnnotation
 
EnglishGrammaticalRelations.ControllingSubjectGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.ControllingSubjectGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.ControllingSubjectGRAnnotation
 
EnglishGrammaticalRelations.CoordinationGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.CoordinationGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.CoordinationGRAnnotation
 
EnglishGrammaticalRelations.CopulaGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.CopulaGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.CopulaGRAnnotation
 
EnglishGrammaticalRelations.DeterminerGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.DeterminerGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.DeterminerGRAnnotation
 
EnglishGrammaticalRelations.DirectObjectGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.DirectObjectGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.DirectObjectGRAnnotation
 
EnglishGrammaticalRelations.ExpletiveGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.ExpletiveGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.ExpletiveGRAnnotation
 
EnglishGrammaticalRelations.IndirectObjectGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.IndirectObjectGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.IndirectObjectGRAnnotation
 
EnglishGrammaticalRelations.InfinitivalModifierGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.InfinitivalModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.InfinitivalModifierGRAnnotation
 
EnglishGrammaticalRelations.MarkerGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.MarkerGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.MarkerGRAnnotation
 
EnglishGrammaticalRelations.ModifierGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.ModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.ModifierGRAnnotation
 
EnglishGrammaticalRelations.MultiWordExpressionGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.MultiWordExpressionGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.MultiWordExpressionGRAnnotation
 
EnglishGrammaticalRelations.NegationModifierGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.NegationModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.NegationModifierGRAnnotation
 
EnglishGrammaticalRelations.NominalPassiveSubjectGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.NominalPassiveSubjectGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.NominalPassiveSubjectGRAnnotation
 
EnglishGrammaticalRelations.NominalSubjectGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.NominalSubjectGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.NominalSubjectGRAnnotation
 
EnglishGrammaticalRelations.NounCompoundModifierGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.NounCompoundModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.NounCompoundModifierGRAnnotation
 
EnglishGrammaticalRelations.NpAdverbialModifierGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.NpAdverbialModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.NpAdverbialModifierGRAnnotation
 
EnglishGrammaticalRelations.NumberModifierGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.NumberModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.NumberModifierGRAnnotation
 
EnglishGrammaticalRelations.NumericModifierGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.NumericModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.NumericModifierGRAnnotation
 
EnglishGrammaticalRelations.ObjectGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.ObjectGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.ObjectGRAnnotation
 
EnglishGrammaticalRelations.ParataxisGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.ParataxisGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.ParataxisGRAnnotation
 
EnglishGrammaticalRelations.ParticipialModifierGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.ParticipialModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.ParticipialModifierGRAnnotation
 
EnglishGrammaticalRelations.PhrasalVerbParticleGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.PhrasalVerbParticleGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.PhrasalVerbParticleGRAnnotation
 
EnglishGrammaticalRelations.PossessionModifierGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.PossessionModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.PossessionModifierGRAnnotation
 
EnglishGrammaticalRelations.PossessiveModifierGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.PossessiveModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.PossessiveModifierGRAnnotation
 
EnglishGrammaticalRelations.PreconjunctGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.PreconjunctGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.PreconjunctGRAnnotation
 
EnglishGrammaticalRelations.PredeterminerGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.PredeterminerGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.PredeterminerGRAnnotation
 
EnglishGrammaticalRelations.PredicateGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.PredicateGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.PredicateGRAnnotation
 
EnglishGrammaticalRelations.PrepositionalComplementGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.PrepositionalComplementGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.PrepositionalComplementGRAnnotation
 
EnglishGrammaticalRelations.PrepositionalModifierGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.PrepositionalModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.PrepositionalModifierGRAnnotation
 
EnglishGrammaticalRelations.PrepositionalObjectGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.PrepositionalObjectGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.PrepositionalObjectGRAnnotation
 
EnglishGrammaticalRelations.PunctuationGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.PunctuationGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.PunctuationGRAnnotation
 
EnglishGrammaticalRelations.PurposeClauseModifierGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.PurposeClauseModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.PurposeClauseModifierGRAnnotation
 
EnglishGrammaticalRelations.QuantifierModifierGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.QuantifierModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.QuantifierModifierGRAnnotation
 
EnglishGrammaticalRelations.ReferentGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.ReferentGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.ReferentGRAnnotation
 
EnglishGrammaticalRelations.RelativeClauseModifierGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.RelativeClauseModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.RelativeClauseModifierGRAnnotation
 
EnglishGrammaticalRelations.RelativeGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.RelativeGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.RelativeGRAnnotation
 
EnglishGrammaticalRelations.SemanticDependentGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.SemanticDependentGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.SemanticDependentGRAnnotation
 
EnglishGrammaticalRelations.SubjectGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.SubjectGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.SubjectGRAnnotation
 
EnglishGrammaticalRelations.TemporalModifierGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.TemporalModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.TemporalModifierGRAnnotation
 
EnglishGrammaticalRelations.XClausalComplementGRAnnotation - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalRelations.XClausalComplementGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.XClausalComplementGRAnnotation
 
ensureDir(File) - Static method in class edu.stanford.nlp.io.IOUtils
Given a filepath, makes sure a directory exists there.
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
 
EntityCachingAbstractSequencePrior<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.
EntityCachingAbstractSequencePrior(String, Index<String>, List<IN>) - Constructor for class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
entitySubclassification - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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.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.DeltaCollectionValuedMap
This is cheap.
entrySet() - Method in class edu.stanford.nlp.util.DeltaMap
This is cheap.
eol - Variable in exception edu.stanford.nlp.trees.tregex.ParseException
The end of line string for this machine.
eol - 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
 
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.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.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.pascal.Alignment
 
equals(Object) - Method in class edu.stanford.nlp.ie.pascal.DateTemplate
 
equals(Object) - Method in class edu.stanford.nlp.ie.pascal.InfoTemplate
 
equals(Object) - Method in class edu.stanford.nlp.ie.pascal.PascalTemplate
 
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.CyclicCoreLabel
Two CoreMaps are equal iff all keys and values are equal (really, ==).
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.ValueLabel
Equality for ValueLabels 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(DoubleAD) - 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.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(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.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 TreeGraphNodes.
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(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.ConcurrentHashSet
 
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.Interval
 
equals(Object) - Method in class edu.stanford.nlp.util.IntPair
 
equals(Object) - Method in class edu.stanford.nlp.util.IntTuple
 
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.ScoredComparator
 
equals(Object) - Method in class edu.stanford.nlp.util.Triple
 
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
 
ErasureUtils - Class in edu.stanford.nlp.util
Class to gather unsafe operations into one place.
escapeAttributeXML(String) - Static method in class edu.stanford.nlp.util.XMLUtils
Returns a String in which some XML special characters have been escaped.
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.
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
 
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.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
 
evaluate(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierEvaluator
 
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, TregexMatcher) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.CoindexNodes
 
evaluate(Tree, TregexMatcher) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonPattern
Evaluates the pattern against a Tree and a TregexMatcher that has been successfully matched against the tree.
evaluateCmd(String[]) - Method in class edu.stanford.nlp.optimization.CmdEvaluator
 
evaluateIters - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
evaluateTrain - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
Evaluator - Interface in edu.stanford.nlp.optimization
 
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.
exit() - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
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
expandMidDot - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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.
experimentalClassOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
 
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.
exportFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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
 
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.
extractEntity(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
extracts the entity starting at the given position and adds it to the entity list.
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.
extractNgram(List<T>, int, int) - Static method in class edu.stanford.nlp.ling.Sentence
Returns the substring of the sentence from start (inclusive) to end (exclusive).
extractRelationSubflags(int, int) - Static method in class edu.stanford.nlp.util.Interval
 

F

f1(int, int, int) - Static method in class edu.stanford.nlp.classify.PRCurve
 
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.
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
 
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.CyclicCoreLabel
 
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
 
factory(boolean, LexedTokenFactory<T>) - Static method in class edu.stanford.nlp.process.PTBTokenizer
 
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() - 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.
fakeDataset - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
featThreshFile - 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
 
featureFactory - Variable in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
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
 
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
 
features() - Method in class edu.stanford.nlp.classify.LinearClassifier
 
featuresC(PaddedList<IN>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCnC(PaddedList<IN>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCp2C(PaddedList<IN>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCp3C(PaddedList<IN>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCp4C(PaddedList<IN>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCp5C(PaddedList<IN>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCpC(PaddedList<IN>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCpCnC(PaddedList<IN>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCpCp2C(PaddedList<IN>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCpCp2Cp3C(PaddedList<IN>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCpCp2Cp3Cp4C(PaddedList<IN>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featureThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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.
femaleNameList - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
fields - Static variable in class edu.stanford.nlp.ie.pascal.PascalTemplate
 
file - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
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
 
Filter<T> - Interface in edu.stanford.nlp.util
Filter is an interface for predicate objects which respond to the accept method.
filter(E[], Filter<E>) - Static method in class edu.stanford.nlp.util.Filters
Applies the given filter to each of the given elems, and returns the list of elems that were accepted.
FilteredIterator<T> - Class in edu.stanford.nlp.util
Iterator that suppresses items in another iterator based on a filter function.
FilteredIterator(Iterator<T>, Filter<T>) - Constructor for class edu.stanford.nlp.util.FilteredIterator
 
filterInfinite(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
filterNaN(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
filterNaNAndInfinite(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
Filters - Class in edu.stanford.nlp.util
Some simple implementations of the Filter interface.
finalizeCounts() - Method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
 
finalizeCounts() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
find() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
Find the next match of the pattern on the tree
find(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
Say whether this regular expression can be found inside this String.
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.
findBreakPoints(char[]) - Method in class edu.stanford.nlp.ie.pascal.TeXHyphenator
 
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
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.
findSpace(String, int) - Static method in class edu.stanford.nlp.util.XMLUtils
return either the first space or the first nbsp
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.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.
firstKeySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
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
 
flatten() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
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
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.maxent.Convert
 
floatArrToByteArr(float[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
floatArrToByteArr(byte[], int, float[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
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.SystemUtils.ProcessOutputStream
 
fmeasure(int, int) - Method in class edu.stanford.nlp.classify.PRCurve
the f-measure if we just guess as negativ the first numleft and guess as poitive 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.
followArcToNode(Class<? extends GrammaticalRelation.GrammaticalRelationAnnotation>) - Method in class edu.stanford.nlp.trees.TreeGraphNode
Returns a single TreeGraphNode to which there exists an arc bearing the specified label from this node, or null if no such node exists.
followArcToSet(Class<? extends GrammaticalRelation.GrammaticalRelationAnnotation>) - Method in class edu.stanford.nlp.trees.TreeGraphNode
Returns the Set of TreeGraphNodes to which there exist arcs bearing the specified label from this node, or null if no such nodes exist.
foundCorrect - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
foundGuessed - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
fpCount - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
Count of false positives.
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
 
free() - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
freeMem - Variable in class edu.stanford.nlp.util.MemoryMonitor
 
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.
fromShortName(String) - Static method in enum edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter.OutputStyle
 
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>.
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.morph.MorphoFeatures
Assumes that the tag string has been formed using a call to getTag().
fSpec - Variable in class edu.stanford.nlp.international.morph.MorphoFeatures
 
Function - Interface in edu.stanford.nlp.optimization
An interface for double-valued functions over double arrays.
Function<T1,T2> - Interface in edu.stanford.nlp.util
An interface for classes that act as a function transforming one object to another.

G

gain - Variable in class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
gain - Static variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
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
 
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
 
gazettes - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
gazFilesFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
gen - Variable in class edu.stanford.nlp.optimization.StochasticInPlaceMinimizer
 
gen - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
GeneralDataset<L,F> - Class in edu.stanford.nlp.classify
The purpose of this interface is to unify Dataset and RVFDataset.
GeneralDataset() - Constructor for class edu.stanford.nlp.classify.GeneralDataset
 
GeneralizedCounter<K> - Class in edu.stanford.nlp.stats
A class for keeping double counts of Lists 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
 
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.
genericValues - Static variable in class edu.stanford.nlp.ling.CoreLabel
 
get(Set) - Method in class edu.stanford.nlp.ie.pascal.Prior
Map
get(int) - Method in class edu.stanford.nlp.trees.MemoryTreebank
Get a tree by index from the Treebank.
get(Class<KEY>) - 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.CollectionValuedMap
 
get(Object) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
 
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(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(Class<KEY>) - Method in interface edu.stanford.nlp.util.TypesafeMap
Returns the value associated with the given key or null if none is provided.
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
getAdaptationPrior(double[], LogPrior) - Static method in class edu.stanford.nlp.classify.LogPrior
 
getAggregator(String) - Static method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
 
getAlignments() - Method in class edu.stanford.nlp.ie.pascal.AlignmentFactory
 
getAlignmentsList() - Method in class edu.stanford.nlp.ie.pascal.AlignmentFactory
 
getAllTranslations(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
 
getAltTag() - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
An alternate tag form than the one produced by getTag().
getAnnotatedChunk(List<CoreLabel>, int, 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 + totalTokenOffset TokenEndAnnotation - Index of last token in chunk (index in original list of tokens) tokenEndIndex + totalTokenOffset
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 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 + totalTokenOffset TokenEndAnnotation - Index of last token in chunk (index in original list of tokens) tokenEndIndex + totalTokenOffset TextAnnotation - String extracted from the origAnnotation using character offset information for this chunk
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, Class, Class) - 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 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
getAnnotatedChunkUsingCharOffsets(CoreMap, int, int) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
 
getAnnotationClass(GrammaticalRelation) - Static method in class edu.stanford.nlp.trees.GrammaticalRelation
 
getAnswers(List<IN>, PlainTextDocumentReaderAndWriter.OutputStyle, boolean) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
 
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.
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
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.
getBufferedFileReader(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
getBufferedFileReader(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
 
getBZip2PipedInputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
getBZip2PipedOutputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
getCalibratedCliqueTree(double[][], int[][][], Index[], int, Index, String) - Static method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
getCalibratedCliqueTree(double[], double, int[][], int[][][], Index[], int, Index, String) - Static method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
getCalibratedCliqueTree(float[][], int[][][], Index[], 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.
getChild(int) - Method in class edu.stanford.nlp.trees.Tree
Return the child at some daughter index.
getChildrenAsList() - Method in class edu.stanford.nlp.trees.Tree
Returns a List of children for the current node.
getChunker() - Method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
 
getChunkOffsetsUsingCharOffsets(List<? extends CoreMap>, int, int) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
Return chunk offsets
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(String) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
getClassifier(String, Properties) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
getClassifierCreator(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
getClassifierNoExceptions(String) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
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.
getCliques() - Method in class edu.stanford.nlp.sequences.FeatureFactory
 
getCliques(int, int) - Static method in class edu.stanford.nlp.sequences.FeatureFactory
 
getCliqueTrees(String, DocumentReaderAndWriter) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Want to make arbitrary probability queries? Then this is the method for you.
getCmd() - Method in class edu.stanford.nlp.ie.crf.CRFClassifierEvaluator
 
getCmd() - Method in class edu.stanford.nlp.optimization.CmdEvaluator
 
getCmd(String) - Method in class edu.stanford.nlp.optimization.CmdEvaluator
 
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.EntityCachingAbstractSequencePrior
 
getConj(String) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "conj" grammatical relation.
getConjs() - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
 
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
 
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
 
getCoreKey(String) - Static method in class edu.stanford.nlp.ling.AnnotationLookup
Returns a CoreAnnotation class key for the given old-style FeatureLabel key if one exists; null otherwise.
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
 
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
Equivalent to GeneralizedCounter.getCounts(java.util.List)({o}); works only for depth 1 GeneralizedCounters
getCount(K, K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
A convenience method equivalent to GeneralizedCounter.getCounts(java.util.List)({o1,o2}); works only for depth 2 GeneralizedCounters
getCount(K, K, K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
A convenience method equivalent to GeneralizedCounter.getCounts(java.util.List)({o1,o2,o3}); works only for depth 3 GeneralizedCounters
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
 
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
 
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.
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
 
getDataArray() - Method in class edu.stanford.nlp.classify.GeneralDataset
 
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
 
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.
getDefaultNegTag() - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
 
getDefaultPosTag() - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
 
getDependencyPath(int, int) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Returns the dependency path as a list of String, from node to root, it is assumed that that root is an ancestor of node
getDependentIndex() - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
 
getDependents(TreeGraphNode) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Tries to return a Set of leaf (terminal) nodes which are the DEPENDENTs of the given node t.
getDescription() - Method in class edu.stanford.nlp.io.ExtensionFileFilter
Returns a description of what extension is being used (for file choosers).
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) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
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.
getEncoding() - Static method in class edu.stanford.nlp.maxent.Convert
 
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.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
getEpsilon() - Method in class edu.stanford.nlp.classify.LogPrior
 
getError() - Method in class edu.stanford.nlp.optimization.CmdEvaluator
 
getExponentialSchedule(double, double, int) - Static method in class edu.stanford.nlp.sequences.CoolingSchedule
 
getExtension(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
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
 
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() - 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
 
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
 
getFieldIndex(String) - Static method in class edu.stanford.nlp.ie.pascal.PascalTemplate
 
getFile(boolean) - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
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)
getFirst() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Finds the object 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.
getFirstNonWsChar(CoreMap) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
 
getFirstNonWsCharOffset(CoreMap, boolean) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
 
getFirstTranslation(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
 
getFloatFactorTable(float[][], int[][], Index[], 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
 
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(TreeGraphNode) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure
Tries to return a leaf (terminal) node which is the GOVERNOR of the given node t.
getGovernorIndex() - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
 
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(TreeGraphNode, TreeGraphNode) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure
Get GrammaticalRelation between gov and dep, and null if gov is not the governor of dep
getGraph(SequenceModel, Index<String>) - Static method in class edu.stanford.nlp.sequences.ViterbiSearchGraphBuilder
 
getID() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
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.
getInformationGains() - Method in class edu.stanford.nlp.classify.Dataset
 
getInnerMapFactory() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
getInput() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
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 gzipped (if necessary)
getInstance() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
A method for getting a singleton instance of this class.
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 interface edu.stanford.nlp.util.HasInterval
 
getInterval() - Method in class edu.stanford.nlp.util.Interval
Returns this interval
getIntTuple(int) - Static method in class edu.stanford.nlp.util.IntTuple
 
getIntTuple(List<Integer>) - Static method in class edu.stanford.nlp.util.IntTuple
 
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().
getJarClassifier(String, Properties) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
Used to load a classifier stored as a resource inside a jar file.
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.
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
 
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.
getLabelIndices(Set<L>) - Method in class edu.stanford.nlp.classify.LinearClassifier
Returns indices of labels
getLabels() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
getLabelsArray() - Method in class edu.stanford.nlp.classify.GeneralDataset
 
getLeaf(Tree, int) - Static method in class edu.stanford.nlp.trees.Trees
Gets the ith leaf of a tree from the left.
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.
getLinearSchedule(double, int) - Static method in class edu.stanford.nlp.sequences.CoolingSchedule
 
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
 
getListGrammaticalRelation(TreeGraphNode, TreeGraphNode) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure
Get a list of GrammaticalRelation between gov and dep.
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.
getMangledTree() - Method in class edu.stanford.nlp.trees.CollocationFinder
Returns the "collocations included" parse tree.
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
 
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.
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
 
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) - 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>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
Create chunk that is merged from chunkIndexStart to chunkIndexEnd (exclusive)
getMiddle() - Method in class edu.stanford.nlp.util.IntQuadruple
 
getMiddle() - Method in class edu.stanford.nlp.util.IntTriple
 
getMinimizer() - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
getMinimizer(int, Evaluator[]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
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.SMDMinimizer
 
getName() - Method in class edu.stanford.nlp.optimization.SQNMinimizer
 
getName() - Method in class edu.stanford.nlp.optimization.StochasticInPlaceMinimizer
 
getName() - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
getName() - Method in class edu.stanford.nlp.util.MetaClass.ClassFactory
Returns the full class name for the objects being produced
getNColors(int) - Static method in class edu.stanford.nlp.ie.crf.NERGUI
 
getNegLabel() - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
 
getNext() - Method in class edu.stanford.nlp.process.AbstractTokenizer
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.trees.international.pennchinese.CHTBTokenizer
Internally fetches 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.
getNode(String) - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
Returns the node labeled with name in the pattern.
getNodeByIndex(int) - Method in class edu.stanford.nlp.trees.TreeGraph
Return the node in the this treegraph corresponding to the specified integer index.
getNodeInRelation(TreeGraphNode, GrammaticalRelation) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure
 
getNodeNames() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
 
getNodeNumber(int) - Method in class edu.stanford.nlp.trees.Tree
Fetches the ith node in the tree, with node numbers defined as in Tree.nodeNumber(Tree).
getNodes() - Method in class edu.stanford.nlp.trees.TreeGraph
 
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.
getNotNullString(String) - Static method in class edu.stanford.nlp.util.StringUtils
 
getNumberOfKeys() - Method in class edu.stanford.nlp.stats.Distribution
 
getNumClasses() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
getNumClasses() - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
get the number of classes in the sequence model.
getNumValues() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
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.StochasticInPlaceMinimizer
 
getOneSmallerLabel() - Method in class edu.stanford.nlp.ie.crf.CRFLabel
 
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.
getOuterMapFactory() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
getOutput() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
getOutput() - Method in class edu.stanford.nlp.optimization.CmdEvaluator
 
getOutputStream() - Method in class edu.stanford.nlp.util.ByteStreamGobbler
 
getPad() - Method in class edu.stanford.nlp.util.PaddedList
 
getParent() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
Returns the parent of this GrammaticalRelation.
getPatternFromFile(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
getPerturbedDistribution(Counter<E>, Random) - Static method in class edu.stanford.nlp.stats.Distribution
 
getPerturbedUniformDistribution(Set<E>, Random) - Static method in class edu.stanford.nlp.stats.Distribution
 
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.
getPossibleValues(int) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier.TestSequenceModel
 
getPossibleValues(int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
getPossibleValues(int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
getPossibleValues(int) - Method in class edu.stanford.nlp.ie.UniformPrior
 
getPossibleValues(int) - Method in class edu.stanford.nlp.sequences.FactoredSequenceModel
 
getPossibleValues(int) - Method in interface edu.stanford.nlp.sequences.SequenceModel
0...leftWindow-1 etc are null, leftWindow...length+leftWindow-1 are words, length+leftWindow...length+leftWindow+rightWindow-1 are null;
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 nth preterminal in tree.
getPrintWriter(File) - 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
 
getPriority() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Gets the priority of the highest-priority element of the queue.
getPriority(E) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Get the priority of a key -- if the key is not in the queue, Double.NEGATIVE_INFINITY is returned.
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
 
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.
getRandomSequence(SequenceModel) - Static method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
 
getRandomSubDataset(double, int) - Method in class edu.stanford.nlp.classify.Dataset
 
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
 
getRelatedNodes(Tree, Tree) - 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.
getRelation(Class<? extends GrammaticalRelation.GrammaticalRelationAnnotation>) - Static method in class edu.stanford.nlp.trees.GrammaticalRelation
 
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.Interval
Return set of flags indicating possible relationships between this interval and another interval.
getRelevant(L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
getRelevant() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
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.
getRho(int) - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
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
 
getS(int) - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
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
 
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>, Pair<int[][][], int[]>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
getShortClassName(Object) - Static method in class edu.stanford.nlp.util.StringUtils
Returns a short class name for an object.
getShortName() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
 
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
 
getSigmaSquaredM() - Method in class edu.stanford.nlp.classify.LogPrior
 
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.util.IntPair
 
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
 
getSpecific() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
 
getString(Class<KEY>) - Method in class edu.stanford.nlp.ling.CoreLabel
Return a non-null String value for a key.
getStringArray(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Loads a comma-separated list of strings from Properties.
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.morph.MorphoFeatures
Build a POS tag consisting of a base category plus inflectional features.
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.util.IntPair
 
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
 
getTemperature(int) - Method in class edu.stanford.nlp.sequences.CoolingSchedule
 
getTerminal(Tree, int) - Static method in class edu.stanford.nlp.trees.Trees
gets the nth terminal in tree.
getText(Label) - Method in class edu.stanford.nlp.trees.UnnamedDependency
 
getTokenizer(Reader) - Method in interface edu.stanford.nlp.objectbank.TokenizerFactory
 
getTokenizer(Reader, String) - Method in interface edu.stanford.nlp.objectbank.TokenizerFactory
 
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 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.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.pennchinese.ChineseTreebankLanguagePack
 
getTokenizerFactory() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
Returns a factory for PTBTokenizer.
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.
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
getTrimmedText(CoreMap) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
 
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.
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.AntecedentAnnotation
 
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.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.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.CoarseTagAnnotation
 
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.ContextsAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CopyAnnotation
 
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.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.EntityRuleAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.EntityTypeAnnotation
 
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.FirstChildAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ForcedSentenceEndAnnotation
 
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.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.IsURLAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LabelAnnotation
 
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.LMiddleAnnotation
 
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.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.NamedEntityTagAnnotation
 
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.OriginalAnswerAnnotation
 
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.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.PrevChildAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PriorAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ProjectedCategoryAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ProtoAnnotation
 
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.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.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.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.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.UnknownAnnotation
 
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.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 class edu.stanford.nlp.trees.GrammaticalRelation.GrammaticalRelationAnnotation
 
getType() - Method in class edu.stanford.nlp.trees.TreeCoreAnnotations.HeadTagAnnotation
 
getType() - Method in class edu.stanford.nlp.trees.TreeCoreAnnotations.HeadWordAnnotation
 
getType() - Method in class edu.stanford.nlp.trees.TreeCoreAnnotations.TreeAnnotation
 
getTypedDependencyChains(List<TypedDependency>, int) - Static method in class edu.stanford.nlp.trees.Dependencies
 
getUniformDistribution(Set<E>) - Static method in class edu.stanford.nlp.stats.Distribution
 
getURL() - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
getUsedMemory() - Method in class edu.stanford.nlp.util.MemoryMonitor
 
getUsedMemory(boolean) - Method in class edu.stanford.nlp.util.MemoryMonitor
 
getval() - Method in class edu.stanford.nlp.math.DoubleAD
 
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.FloatFactorTable
 
getValue(String) - Method in class edu.stanford.nlp.ie.pascal.PascalTemplate
 
getValue(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
 
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.
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
 
getViterbiSearchGraph(List<IN>, Class<? extends CoreAnnotation<String>>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
getWeightIndices() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
getWeights() - Method in class edu.stanford.nlp.classify.WeightedDataset
 
getWeights(String) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
getWrappedList() - Method in class edu.stanford.nlp.util.PaddedList
Deprecated. 
getXmlParser() - Static method in class edu.stanford.nlp.util.XMLUtils
Returns a non-validating XML parser.
getY(int) - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
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
 
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
 
govToDepMap(List<TypedDependency>) - Static method in class edu.stanford.nlp.trees.Dependencies
 
grad - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
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(GrammaticalRelation.Language, String, String, Class<? extends GrammaticalRelation.GrammaticalRelationAnnotation>, GrammaticalRelation, String, String[], String) - Constructor for class edu.stanford.nlp.trees.GrammaticalRelation
 
GrammaticalRelation(GrammaticalRelation.Language, String, String, Class<? extends GrammaticalRelation.GrammaticalRelationAnnotation>, GrammaticalRelation, String, String[]) - Constructor for class edu.stanford.nlp.trees.GrammaticalRelation
 
GrammaticalRelation(GrammaticalRelation.Language, String, String, Class<? extends GrammaticalRelation.GrammaticalRelationAnnotation>, GrammaticalRelation) - Constructor for class edu.stanford.nlp.trees.GrammaticalRelation
 
GrammaticalRelation(GrammaticalRelation.Language, String, String, Class<? extends GrammaticalRelation.GrammaticalRelationAnnotation>, GrammaticalRelation, String) - Constructor for class edu.stanford.nlp.trees.GrammaticalRelation
 
GrammaticalRelation.DependentGRAnnotation - Class in edu.stanford.nlp.trees
 
GrammaticalRelation.DependentGRAnnotation() - Constructor for class edu.stanford.nlp.trees.GrammaticalRelation.DependentGRAnnotation
 
GrammaticalRelation.GovernorGRAnnotation - Class in edu.stanford.nlp.trees
 
GrammaticalRelation.GovernorGRAnnotation() - Constructor for class edu.stanford.nlp.trees.GrammaticalRelation.GovernorGRAnnotation
 
GrammaticalRelation.GrammaticalRelationAnnotation - Class in edu.stanford.nlp.trees
 
GrammaticalRelation.GrammaticalRelationAnnotation() - Constructor for class edu.stanford.nlp.trees.GrammaticalRelation.GrammaticalRelationAnnotation
 
GrammaticalRelation.KillGRAnnotation - Class in edu.stanford.nlp.trees
 
GrammaticalRelation.KillGRAnnotation() - Constructor for class edu.stanford.nlp.trees.GrammaticalRelation.KillGRAnnotation
 
GrammaticalRelation.Language - Enum in edu.stanford.nlp.trees
 
GrammaticalRelation.RootGRAnnotation - Class in edu.stanford.nlp.trees
 
GrammaticalRelation.RootGRAnnotation() - Constructor for class edu.stanford.nlp.trees.GrammaticalRelation.RootGRAnnotation
 
GrammaticalStructure - Class in edu.stanford.nlp.trees
A GrammaticalStructure is a TreeGraph (that is, a tree with additional labeled arcs between nodes) for representing the grammatical relations in a parse tree.
GrammaticalStructure(Tree, Collection<GrammaticalRelation>, Lock, HeadFinder, Filter<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(Tree, Collection<GrammaticalRelation>, HeadFinder, Filter<String>) - Constructor for class edu.stanford.nlp.trees.GrammaticalStructure
 
grammaticalStructureFactory() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Return a GrammaticalStructureFactory suitable for this language/treebank.
grammaticalStructureFactory(Filter<String>) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Return a GrammaticalStructureFactory suitable for this language/treebank.
grammaticalStructureFactory(Filter<String>, HeadFinder) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Return a GrammaticalStructureFactory suitable for this language/treebank.
GrammaticalStructureFactory - Class in edu.stanford.nlp.trees
A general factory for GrammaticalStructure objects.
GrammaticalStructureFactory(String) - Constructor for class edu.stanford.nlp.trees.GrammaticalStructureFactory
Make a new GrammaticalStructureFactory that dispenses GrammaticalStructure objects of the given specific type
GrammaticalStructureFactory(String, Filter<String>) - Constructor for class edu.stanford.nlp.trees.GrammaticalStructureFactory
Make a new GrammaticalStructureFactory that dispenses GrammaticalStructure objects of the given specific type
GrammaticalStructureFactory(String, Filter<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.GrammaticalStructureFactory
 
grammaticalStructureFactory() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
grammaticalStructureFactory(Filter<String>) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
grammaticalStructureFactory(Filter<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(Filter<String>) - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
Return a GrammaticalStructure suitable for this language/treebank.
grammaticalStructureFactory(Filter<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(Filter<String>) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Return a GrammaticalStructureFactory suitable for this language/treebank.
grammaticalStructureFactory(Filter<String>, HeadFinder) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Return a GrammaticalStructureFactory suitable for this language/treebank.
greekifyNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 

H

has(Class<KEY>) - Method in class edu.stanford.nlp.util.ArrayCoreMap
Returns true if the map contains the given key.
has(Class<KEY>) - Method in interface edu.stanford.nlp.util.TypesafeMap
Returns true if the map contains the given key.
HasCategory - Interface in edu.stanford.nlp.ling
Something that implements the HasCategory interface knows about categories.
HasContext - Interface in edu.stanford.nlp.ling
 
HasEvaluators - Interface in edu.stanford.nlp.optimization
Indicates that an minimizer supports evaluation periodically
hasFeature(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
 
HasFloatInitial - Interface in edu.stanford.nlp.optimization
Indicates that a function has a method for supplying an intitial value.
HASH_MAP_FACTORY - Static variable in class edu.stanford.nlp.util.MapFactory
 
HASH_SET_FACTORY - Static variable in class edu.stanford.nlp.util.CollectionFactory
 
HashableCoreMap - Class in edu.stanford.nlp.util
An extension of ArrayCoreMap with an immutable set of key,value pairs that is used for equality and hashcode comparisons.
HashableCoreMap(Map<Class<? extends TypesafeMap.Key<CoreMap, ?>>, Object>) - Constructor for class edu.stanford.nlp.util.HashableCoreMap
Creates an instance of HashableCoreMap with initial key,value pairs for the immutable, hashable keys as provided in the given map.
HashableCoreMap(ArrayCoreMap, Set<Class<? extends TypesafeMap.Key<CoreMap, ?>>>) - Constructor for class edu.stanford.nlp.util.HashableCoreMap
Creates an instance by copying values from the given other CoreMap, using the values it associates with the given set of hashkeys for the immutable, hashable keys used by hashcode and equals.
HashableCoreMap.HashableCoreMapException - Exception in edu.stanford.nlp.util
An exception thrown when attempting to change the value associated with an (immutable) hash key in a HashableCoreMap.
HashableCoreMap.HashableCoreMapException(String) - Constructor for exception edu.stanford.nlp.util.HashableCoreMap.HashableCoreMapException
 
hashCode() - Method in class edu.stanford.nlp.fsm.DFSAState
 
hashCode() - Method in class edu.stanford.nlp.ie.crf.CRFDatum
 
hashCode() - Method in class edu.stanford.nlp.ie.crf.CRFLabel
 
hashCode() - Method in class edu.stanford.nlp.ie.pascal.Alignment
 
hashCode() - Method in class edu.stanford.nlp.ie.pascal.DateTemplate
 
hashCode() - Method in class edu.stanford.nlp.ie.pascal.InfoTemplate
 
hashCode() - Method in class edu.stanford.nlp.ie.pascal.PascalTemplate
 
hashCode() - Method in class edu.stanford.nlp.ling.BasicDatum
 
hashCode() - Method in class edu.stanford.nlp.ling.CyclicCoreLabel
Returns a composite hashcode over all the keys and values currently stored in the map.
hashCode() - Method in class edu.stanford.nlp.ling.RVFDatum
hashCode() - Method in class edu.stanford.nlp.ling.ValueLabel
Return the hashCode of the String value providing there is one.
hashCode() - Method in class edu.stanford.nlp.ling.WordLemmaTag
 
hashCode() - Method in class edu.stanford.nlp.ling.WordTag
 
hashCode() - Method in class edu.stanford.nlp.sequences.Clique
 
hashCode() - Method in class edu.stanford.nlp.stats.ClassicCounter
Returns a hashCode which is the underlying Map's hashCode.
hashCode() - Method in class edu.stanford.nlp.stats.Distribution
 
hashCode() - Method in class edu.stanford.nlp.stats.IntCounter
 
hashCode() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
hashCode() - Method in class edu.stanford.nlp.trees.Constituent
A hashCode for Constituents done by shifting and or'ing for speed.
hashCode() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
 
hashCode() - Method in class edu.stanford.nlp.trees.NamedDependency
 
hashCode() - Method in class edu.stanford.nlp.trees.Tree
Implements a hashCode for Tree's.
hashCode() - Method in class edu.stanford.nlp.trees.TreeGraphNode
 
hashCode() - Method in class edu.stanford.nlp.trees.TypedDependency
 
hashCode() - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
 
hashCode() - Method in class edu.stanford.nlp.trees.UnnamedDependency
 
hashCode() - Method in class edu.stanford.nlp.util.ArrayCoreMap
Returns a composite hashCode over all the keys and values currently stored in the map.
hashCode() - Method in class edu.stanford.nlp.util.ArrayMap
 
hashCode() - Method in class edu.stanford.nlp.util.CollectionValuedMap
 
hashCode() - Method in class edu.stanford.nlp.util.ConcurrentHashSet
 
hashCode() - Method in class edu.stanford.nlp.util.HashableCoreMap
Provides a hash code based on the immutable keys and values provided to the constructor.
hashCode() - Method in class edu.stanford.nlp.util.Interval
 
hashCode() - Method in class edu.stanford.nlp.util.IntPair
 
hashCode() - Method in class edu.stanford.nlp.util.IntTuple
 
hashCode() - Method in class edu.stanford.nlp.util.MetaClass.ClassFactory
 
hashCode() - Method in class edu.stanford.nlp.util.MetaClass
 
hashCode() - Method in class edu.stanford.nlp.util.MutableDouble
 
hashCode() - Method in class edu.stanford.nlp.util.MutableInteger
 
hashCode() - Method in class edu.stanford.nlp.util.Pair
 
hashCode() - Method in class edu.stanford.nlp.util.ScoredComparator
Return the hashCode: there are only two distinct comparators by equals().
hashCode() - Method in class edu.stanford.nlp.util.Triple
 
hashCodeCache - Variable in class edu.stanford.nlp.util.ArrayMap
 
HashIndex<E> - Class in edu.stanford.nlp.util
An Index is a collection that maps between an Object vocabulary and a contiguous non-negative integer index series beginning (inclusively) at 0.
HashIndex() - Constructor for class edu.stanford.nlp.util.HashIndex
Creates a new Index.
HashIndex(int) - Constructor for class edu.stanford.nlp.util.HashIndex
Creates a new Index.
HashIndex(Collection<? extends E>) - Constructor for class edu.stanford.nlp.util.HashIndex
Creates a new Index and adds every member of c to it.
HashIndex(Index<? extends E>) - Constructor for class edu.stanford.nlp.util.HashIndex
 
hashMapFactory() - Static method in class edu.stanford.nlp.util.MapFactory
Return a MapFactory that returns a HashMap.
hashSetFactory() - Static method in class edu.stanford.nlp.util.CollectionFactory
 
HasIndex - Interface in edu.stanford.nlp.ling
 
hasInfinite(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
HasInitial - Interface in edu.stanford.nlp.optimization
Indicates that a function has a method for supplying an intitial value.
HasInterval<E extends Comparable<E>> - Interface in edu.stanford.nlp.util
HasInterval interface
hasNaN(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
hasNewVals - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
hasNext() - Method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
 
hasNext() - Method in class edu.stanford.nlp.objectbank.LineIterator
 
hasNext() - Method in class edu.stanford.nlp.process.AbstractTokenizer
Returns true if this Tokenizer has more elements.
hasNext() - Method in interface edu.stanford.nlp.process.Tokenizer
Returns true if and only if this Tokenizer has more elements.
hasNext() - Method in class edu.stanford.nlp.util.AbstractIterator
 
hasNext() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
hasNext() - Method in class edu.stanford.nlp.util.ConcatenationIterator
 
hasNext() - Method in class edu.stanford.nlp.util.FilteredIterator
 
hasNext() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
Returns true if the priority queue is non-empty
HasOffset - Interface in edu.stanford.nlp.ling
Something that implements the HasOffset interface bears a offset reference to the original text
hasProperty(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Returns true iff the given Properties contains a property with the given key (name), and its value is not "false" or "no" or "off".
HasTag - Interface in edu.stanford.nlp.ling
Something that implements the HasTag interface knows about part-of-speech tags.
HasWord - Interface in edu.stanford.nlp.ling
Something that implements the HasWord interface knows about words.
HdotV - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
HdotVAt(double[], double[], int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
HdotVAt will return the hessian vector product H.v at the point x for a batchSize subset of the data There are several ways to perform this calculation, as of now Finite Difference, and Algorithmic Differentiation are the methods that have been used.
HdotVAt(double[], double[], double[], int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
HdotVAt(double[], double[]) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
HeadFinder - Interface in edu.stanford.nlp.trees
An interface for finding the "head" daughter of a phrase structure tree.
headFinder() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
The HeadFinder to use for your treebank.
headFinder() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
The HeadFinder to use for your treebank.
headFinder() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
The HeadFinder to use for your treebank.
headMark - Static variable in class edu.stanford.nlp.trees.TreePrint
 
headPreTerminal(HeadFinder) - Method in class edu.stanford.nlp.trees.Tree
Returns the preterminal tree that is the head of the tree.
heads(Tree, Tree, HeadFinder) - Static method in class edu.stanford.nlp.trees.Trees
Returns true iff head (transitively) heads node.
headTagNode() - Method in class edu.stanford.nlp.trees.TreeGraphNode
Return the node containing the head tag for this node (or null if none), as recorded in this node's CyclicCoreLabel.
headTerminal(HeadFinder, Tree) - Method in class edu.stanford.nlp.trees.Tree
Returns the tree leaf that is the head of the tree.
headTerminal(HeadFinder) - Method in class edu.stanford.nlp.trees.Tree
Returns the tree leaf that is the head of the tree.
headWordNode() - Method in class edu.stanford.nlp.trees.TreeGraphNode
Return the node containing the head word for this node (or null if none), as recorded in this node's CyclicCoreLabel.
Heap<E> - Interface in edu.stanford.nlp.util
Heap interface.
HearstSimilarity(String, String) - Method in class edu.stanford.nlp.ie.pascal.AcronymModel
 
heldOutSetSigma(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
heldOutSetSigma(GeneralDataset<L, F>, Scorer<L>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
heldOutSetSigma(GeneralDataset<L, F>, GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
heldOutSetSigma(GeneralDataset<L, F>, GeneralDataset<L, F>, Scorer<L>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
heldOutSetSigma(GeneralDataset<L, F>, GeneralDataset<L, F>, LineSearcher) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
heldOutSetSigma(GeneralDataset<L, F>, GeneralDataset<L, F>, Scorer<L>, LineSearcher) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Sets the sigma parameter to a value that optimizes the held-out score given by scorer.
highestNodeWithSameHead() - Method in class edu.stanford.nlp.trees.TreeGraphNode
Checks the node's ancestors to find the highest ancestor with the same headWordNode as this node.
hIndex(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Calculate h-Index (Hirsch, 2005) of an author.
howLong() - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
Return the time in seconds since this class was created.
HUBER_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
HUBER_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
hybridCutoffIteration - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
HybridMinimizer - Class in edu.stanford.nlp.optimization
Hybrid Minimizer is set up as a combination of two minimizers.
HybridMinimizer(Minimizer<DiffFunction>, Minimizer<DiffFunction>, int) - Constructor for class edu.stanford.nlp.optimization.HybridMinimizer
 
hypergeometric(int, int, int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
Find a hypergeometric distribution.
hyphenData - Static variable in class edu.stanford.nlp.ie.pascal.DefaultTeXHyphenData
 

I

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
 
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).
ifrf - Variable in class edu.stanford.nlp.objectbank.ObjectBank
 
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
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
adds to count for the GeneralizedCounter.depth()-dimensional key l.
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
 
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
Equivalent to GeneralizedCounter.incrementCount(java.util.List, K)({o}, count); only works for a depth 1 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
 
incrementValue(int[], double) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
incrementValue(int[], float) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
incValue(int) - Method in class edu.stanford.nlp.util.MutableInteger
Add the argument to the value of this integer.
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.trees.TreeGraphNode
Get the index for the current node.
Index<E> - Interface in edu.stanford.nlp.util
Minimalist interface for implementations of Index.
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.
indexNodes() - Method in class edu.stanford.nlp.trees.TreeGraphNode
Assign sequential integer indices (starting with 0) to all nodes of the subtree rooted at this TreeGraphNode.
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
 
indexOf(int, int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
indexOf(Object) - Method in class edu.stanford.nlp.trees.MemoryTreebank
 
indexOf(Tree) - Method in class edu.stanford.nlp.trees.Tree
Returns the position of a Tree in the children list, if present, or -1 if it is not present.
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
Takes an Object and returns the integer index of the Object, perhaps adding it to the index first.
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
Takes an Object and returns the integer index of the Object, perhaps adding it to the index first.
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
 
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.
inferenceType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
INFINITIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "infinitival modifier" grammatical relation.
infoFile - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
InfoTemplate - Class in edu.stanford.nlp.ie.pascal
A partial PascalTemplate.
InfoTemplate(String, String, String, String, String, String, CliqueTemplates) - Constructor for class edu.stanford.nlp.ie.pascal.InfoTemplate
 
init(List<Pair<Double, Integer>>) - Method in class edu.stanford.nlp.classify.PRCurve
 
init(SeqClassifierFlags) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
init(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
init(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.SMDMinimizer
 
init(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.SQNMinimizer
 
init(AbstractStochasticCachingDiffUpdateFunction) - Method in class edu.stanford.nlp.optimization.StochasticInPlaceMinimizer
 
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(SeqClassifierFlags, TokenizerFactory<IN>, CoreTokenFactory<IN>) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
 
initGazette() - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
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).
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 Should be accessed only by appropriate methods within the class, such as clear(), which take care of other parts of the emptying of data
initialize(int) - Method in class edu.stanford.nlp.classify.RVFDataset
 
initialState() - Method in class edu.stanford.nlp.fsm.DFSA
 
initialWeights - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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
 
initViterbi - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
innaPPAttach - 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.sequences.SeqClassifierFlags
 
insertDtr(Tree, int) - Method in class edu.stanford.nlp.trees.Tree
insert dtr after position existing daughters in this.
intArrToByteArr(int[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
intArrToByteArr(int[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
intArrToByteArr(byte[], int, int[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
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.
interimOutputFreq - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
intern - Variable in class edu.stanford.nlp.classify.LinearClassifier
 
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 - Static variable in class edu.stanford.nlp.util.Interner
 
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.
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)
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
 
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
 
inverseAcronymMap - Variable in class edu.stanford.nlp.ie.pascal.CliqueTemplates
 
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
 
iobWrapper - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
IOUtils - Class in edu.stanford.nlp.io
Helper Class for storing serialized objects to disk.
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
 
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
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
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.
isBreaking(String) - Static method in class edu.stanford.nlp.util.XMLUtils
 
isBreaking(XMLUtils.XMLTag) - Static method in class edu.stanford.nlp.util.XMLUtils
 
isCapitalized(String) - Static method in class edu.stanford.nlp.util.StringUtils
Check if a string begins with an uppercase.
isCloseTo(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath
 
isConnected(Collection<TypedDependency>) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure
Checks if all the typeDependencies are connected
isContinuable() - Method in class edu.stanford.nlp.fsm.DFSAState
 
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.
isEmpty() - Method in class edu.stanford.nlp.objectbank.ObjectBank
 
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 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 class edu.stanford.nlp.util.ConcurrentHashSet
 
isEmpty() - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
 
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.
isEndOfChunk(String, String, String, String) - Static method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
Returns whether a chunk ended between the previous and current token
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
 
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.
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.
isIgnoreProvidedTag() - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
 
isIntervalComparable(Interval<E>) - Method in class edu.stanford.nlp.util.Interval
Checks whether this interval is comparable with another interval comes before or after
isLabelAnnotationIntroducingCharacter(char) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
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.
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.
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
isOneSentence() - Method in class edu.stanford.nlp.process.WordToSentenceProcessor
 
isPhrasal() - Method in class edu.stanford.nlp.trees.Tree
Return whether this node is a phrasal node or not.
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.
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
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.
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
 
isStartOfChunk(String, String, String, String) - Static method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
Returns whether a chunk started between the previous and current token
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.
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).
isUnaryRewrite() - Method in class edu.stanford.nlp.trees.Tree
Says whether the current node has only one child.
isVerbalAuxiliary(Tree) - Method in class edu.stanford.nlp.trees.SemanticHeadFinder
Reinserted so samples.GetSubcats compiles ...
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.
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.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.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.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.Beam
 
iterator() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
iterator() - Method in class edu.stanford.nlp.util.ConcurrentHashSet
 
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.
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.

J

jaccardCoefficient(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns the Jaccard Coefficient of the two counters.
jensenShannonDivergence(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Returns the Jensen Shannon divergence (information radius) between a and b, defined as the average of the kl divergences from a to b and from b to a.
jensenShannonDivergence(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Calculates the Jensen-Shannon divergence between the two counters.
JJTLOCATION - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
JJTNODENAME - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
jjtNodeName - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
JJTNODESELECTION - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
JJTNODESELECTIONLIST - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
JJTOPERATION - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
JJTROOT - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
JJTTREEDTRS - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
JJTTREENODE - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
JJTTREEROOT - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
JJTTsurgeonParserState - Class in edu.stanford.nlp.trees.tregex.tsurgeon
 
JJTTsurgeonParserState() - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
 
join(List<? extends E>, String, Function<E, String>, int, int) - Static method in class edu.stanford.nlp.util.StringUtils
 
join(Iterable<X>, String) - Static method in class edu.stanford.nlp.util.StringUtils
Joins each elem in the Collection with the given glue.
join(Object[], String) - Static method in class edu.stanford.nlp.util.StringUtils
Joins each elem in the array with the given glue.
join(Iterable<?>) - Static method in class edu.stanford.nlp.util.StringUtils
Joins elems with a space.
join(Object[]) - Static method in class edu.stanford.nlp.util.StringUtils
Joins elements with a space.
joiningTwoEntities(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
joinNode(Tree, Tree) - Method in class edu.stanford.nlp.trees.Tree
Given nodes t1 and t2 which are dominated by this node, returns their "join node": the node j such that j dominates both t1 and t2, and every other node which dominates both t1 and t2 dominates j.
joinWithOriginalWhiteSpace(List<CoreLabel>) - Static method in class edu.stanford.nlp.util.StringUtils
Joins all the tokens together (more or less) according to their original whitespace.
joinWords(Iterable<? extends HasWord>, String) - Static method in class edu.stanford.nlp.util.StringUtils
 
joinWords(List<? extends HasWord>, String, int, int) - Static method in class edu.stanford.nlp.util.StringUtils
 
justificationOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
Deprecated. 
justificationOf(RVFDatum<L, F>, PrintWriter) - Method in class edu.stanford.nlp.classify.LinearClassifier
Deprecated. 
justificationOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
 
justificationOf(Datum<L, F>, PrintWriter, Function<F, T>) - Method in class edu.stanford.nlp.classify.LinearClassifier
 
justificationOf(Datum<L, F>, PrintWriter, Function<F, T>, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifier
Print all features active for a particular datum and the weight that the classifier assigns to each class for those features.
justificationOf(Datum<L, F>, PrintWriter) - Method in class edu.stanford.nlp.classify.LinearClassifier
Print all features active for a particular datum and the weight that the classifier assigns to each class for those features.
justificationOf(Datum<L, F>, PrintWriter, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifier
Print all features active for a particular datum and the weight that the classifier assigns to each class for those features.
justify - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 

K

k - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
kBest - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
KBestSequenceFinder - Class in edu.stanford.nlp.sequences
 
KBestSequenceFinder() - Constructor for class edu.stanford.nlp.sequences.KBestSequenceFinder
 
kBestSequences(SequenceModel, int) - Method in class edu.stanford.nlp.sequences.KBestSequenceFinder
 
keepAllWhitespaces - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
Keep all the whitespace words in testFile when printing out answers.
keepEnglishWhitespaces - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
Keep the whitespace between English words in testFile when printing out answers.
keepInMemory(boolean) - Method in class edu.stanford.nlp.objectbank.ObjectBank
Tells the ObjectBank to store all of its contents in memory so that it doesn't have to be recomputed each time you iterate through it.
keepInMemory(boolean) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
keepOBInMemory - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
KEY_VAL_DELIM - Static variable in class edu.stanford.nlp.international.morph.MorphoFeatures
 
keysAbove(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
Returns the set of keys whose counts are at or above the given threshold.
keysAbove(int) - Method in class edu.stanford.nlp.stats.IntCounter
Returns the set of keys whose counts are at or above the given threshold.
keysAt(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
Returns the set of keys that have exactly the given count.
keysAt(int) - Method in class edu.stanford.nlp.stats.IntCounter
Returns the set of keys that have exactly the given count.
keysBelow(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
Returns the set of keys whose counts are at or below the given threshold.
keysBelow(int) - Method in class edu.stanford.nlp.stats.IntCounter
Returns the set of keys whose counts are at or below the given threshold.
keySet() - Method in class edu.stanford.nlp.stats.ClassicCounter
Returns the Set of keys in this counter.
keySet() - Method in interface edu.stanford.nlp.stats.Counter
Returns the Set of keys in this counter.
keySet() - Method in class edu.stanford.nlp.stats.Distribution
 
keySet() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Returns the set of keys, as read-only Lists of size equal to the depth of the GeneralizedCounter.
keySet() - Method in class edu.stanford.nlp.stats.IntCounter
 
keySet() - Method in class edu.stanford.nlp.util.ArrayCoreMap
Collection of keys currently held in this map.
keySet() - Method in class edu.stanford.nlp.util.CollectionValuedMap
 
keySet() - Method in interface edu.stanford.nlp.util.TypesafeMap
Collection of keys currently held in this map.
KILL - Static variable in class edu.stanford.nlp.trees.GrammaticalRelation
Dummy relation, used while collapsing relations, in English & Chinese GrammaticalStructure
klDivergence(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
klDivergence(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Calculates the KL divergence between the two counters.
knownCliques - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
 
knownLCWords - Variable in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 

L

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(C) - Static method in class edu.stanford.nlp.stats.Counters
Return the l2 norm (Euclidean vector length) of a Counter.
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.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 - Variable in class edu.stanford.nlp.trees.TreeGraphNode
Label for this node.
label() - Method in class edu.stanford.nlp.trees.TreeGraphNode
Returns the label associated with the current node, or null if there is no label.
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.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.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.
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 Assumes labels have the form - where the tag is a prefix indicating where in the chunk it is.
LabeledChunkIdentifier() - Constructor for class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
 
LabeledChunkIdentifier.LabelTagType - Class in edu.stanford.nlp.pipeline
Class representing a label, tag and type
LabeledChunkIdentifier.LabelTagType(String, String, String) - Constructor for class edu.stanford.nlp.pipeline.LabeledChunkIdentifier.LabelTagType
 
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 CategoryWordTag labels.
LabeledScoredTreeReaderFactory(LabelFactory) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeReaderFactory
 
LabeledScoredTreeReaderFactory(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.CyclicCoreLabel
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.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.
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
 
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.
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
 
labels() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
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() - 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 Labels, null or otherwise, contained in the tree.
lam - Variable in class edu.stanford.nlp.optimization.SMDMinimizer
 
lambda - Variable in class edu.stanford.nlp.optimization.StochasticInPlaceMinimizer
 
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_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
 
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
 
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
 
LatticeWriter<IN extends CoreMap> - Interface in edu.stanford.nlp.sequences
This interface is used for writing lattices out of SequenceClassifiers.
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.
leaves(Tree) - Static method in class edu.stanford.nlp.trees.Trees
returns the leaves in a Tree in the order that they're found.
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.
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.
leftMessage() - Method in class edu.stanford.nlp.sequences.Clique
 
leftWindow() - Method in class edu.stanford.nlp.ie.crf.CRFClassifier.TestSequenceModel
 
leftWindow() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
leftWindow() - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
leftWindow() - Method in class edu.stanford.nlp.ie.UniformPrior
 
leftWindow() - Method in class edu.stanford.nlp.sequences.FactoredSequenceModel
 
leftWindow() - Method in interface edu.stanford.nlp.sequences.SequenceModel
How many positions to the left a position is dependent on.
lemma() - Method in class edu.stanford.nlp.ling.CoreLabel
Return the lemma of the label (or null if none).
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
 
lemmaStatic(String, String, boolean) - Static method in class edu.stanford.nlp.process.Morphology
 
lemmaStaticSynchronized(String, String, boolean) - Static method in class edu.stanford.nlp.process.Morphology
 
lemmatize(WordTag) - Method in class edu.stanford.nlp.process.Morphology
Lemmatize returning a WordLemmaTag .
lemmatizeStatic(WordTag) - Static method in class edu.stanford.nlp.process.Morphology
 
length() - Method in class edu.stanford.nlp.ie.crf.CRFClassifier.TestSequenceModel
 
length() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
length() - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
length() - Method in class edu.stanford.nlp.ie.UniformPrior
 
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.util.IntTuple
 
LexedTokenFactory<T> - Interface in edu.stanford.nlp.process
Constructs a token (of arbitrary type) from a String and its position in the underlying text.
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.
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
 
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
 
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
 
LinearClassifierFactory(boolean) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(double) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(Minimizer<DiffFunction>, boolean) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(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(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(Minimizer<DiffFunction>, double, boolean, LogPrior) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory.LinearClassifierCreator<L,F> - Class in edu.stanford.nlp.classify
 
LinearClassifierFactory.LinearClassifierCreator(LogConditionalObjectiveFunction, Index<F>, Index<L>) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory.LinearClassifierCreator
 
LinearClassifierFactory.LinearClassifierCreator(Index<F>, Index<L>) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory.LinearClassifierCreator
 
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(File) - 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
 
LineIterator.LineIteratorFactory() - Constructor for class edu.stanford.nlp.objectbank.LineIterator.LineIteratorFactory
 
LineIterator.LineIteratorFactory(Function<String, X>) - Constructor for class edu.stanford.nlp.objectbank.LineIterator.LineIteratorFactory
 
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.
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
 
listIterator() - Method in class edu.stanford.nlp.trees.MemoryTreebank
 
listIterator(int) - Method in class edu.stanford.nlp.trees.MemoryTreebank
 
ListProcessor<IN,OUT> - Interface in edu.stanford.nlp.process
An interface for things that operate on a List.
listToFile(List<double[]>, String) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
listToString(List<T>) - Static method in class edu.stanford.nlp.ling.Sentence
Returns the sentence as a string with a space between words.
listToString(List<T>, boolean) - Static method in class edu.stanford.nlp.ling.Sentence
Returns the sentence as a string with a space between words.
listToString(List<T>, boolean, String) - Static method in class edu.stanford.nlp.ling.Sentence
As already described, but if separator is not null, then objects such as TaggedWord
load(BufferedReader) - Method in class edu.stanford.nlp.ie.pascal.TeXHyphenator
Loads custom hyphenation rules.
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.
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
 
loadByReflection(String, Object...) - Static method in class edu.stanford.nlp.util.ReflectionLoading
You can use this as follows:
String s = ReflectionLoading.loadByReflection("java.lang.String", "foo");
String s = ReflectionLoading.loadByReflection("java.lang.String");
Note that this uses generics for convenience, but this does nothing for compile-time error checking.
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 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.crf.CRFClassifier
Loads a classifier from the specified InputStream.
loadClassifier(File) - Method in class edu.stanford.nlp.ie.crf.NERGUI
Load a classifier from a file or the default.
loadClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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
 
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.
loadCounter(String, Class<E>) - Static method in class edu.stanford.nlp.stats.Counters
Loads a Counter from a text file.
loadDatasetsDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
loadDefault() - Method in class edu.stanford.nlp.ie.pascal.TeXHyphenator
Loads the default hyphenation rules in DefaultTeXHyphenator.
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.
loadFromFilename(String) - 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
 
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>, TwoDimensionalCounter<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(String, Properties) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
This function will load a classifier that is stored inside a jar file (if it is so stored).
loadJarClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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.
loadProcessedData(String) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
loadProcessedData - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
loadTextClassifier(String, Properties) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
loadTextClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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 Trees that ares the local trees of the tree.
locationCliqueCounter - Variable in class edu.stanford.nlp.ie.pascal.CliqueTemplates
 
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() - 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(Iterable<Datum<L, F>>, LogPrior, Index<F>, Index<L>) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
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[], 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
 
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
 
logLikelihood() - Method in class edu.stanford.nlp.classify.PRCurve
assuming the scores are probability of 1 given x
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, Object) - 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, Object[]) - 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(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
 
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(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.maxent.Convert
 
longArrToByteArr(long[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
longArrToByteArr(byte[], int, long[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
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.
longForm - Variable in class edu.stanford.nlp.ie.pascal.Alignment
 
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.
lookupShaper(String) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
Look up a shaper by a short String name.
lowercaseNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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.

M

Macros - Class in edu.stanford.nlp.trees.tregex
This defines how to use macros from a file in Tregex.
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.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.NERDemo
 
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.AcronymModel
 
main(String[]) - Static method in class edu.stanford.nlp.ie.pascal.AlignmentFactory
 
main(String[]) - Static method in class edu.stanford.nlp.ie.pascal.Prior
 
main(String[]) - Static method in class edu.stanford.nlp.ie.pascal.TeXHyphenator
 
main(String[]) - Static method in class edu.stanford.nlp.io.IOUtils
 
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.Convert
 
main(String[]) - Static method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
 
main(String[]) - Static method in class edu.stanford.nlp.objectbank.LineIterator
 
main(String[]) - Static method in class edu.stanford.nlp.optimization.GoldenSectionLineSearch
 
main(String[]) - Static method in class edu.stanford.nlp.optimization.SGDMinimizer
 
main(String[]) - Static method in class edu.stanford.nlp.optimization.SMDMinimizer
 
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.Morphology
Run the morphological analyzer.
main(String[]) - Static method in class edu.stanford.nlp.process.PTBTokenizer
Reads files named 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.sequences.BeamBestSequenceFinder
 
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.ExactBestSequenceFinder
 
main(String[]) - Static method in class edu.stanford.nlp.sequences.SequenceSampler
 
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.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.GrammaticalRelation
 
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.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.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.TreeGraph
Just for testing.
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.WordStemmer
Reads, stems, and prints the trees in the file.
main(String[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
main(String[]) - Static method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
main(String[]) - Static method in class edu.stanford.nlp.util.CollectionValuedMap
For testing only.
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.DeltaMap
For testing only.
main(String[]) - Static method in class edu.stanford.nlp.util.FilteredIterator
 
main(String[]) - Static method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
 
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.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.
makeAsciiTable(Object[][], Object[], Object[], int, int, boolean) - Static method in class edu.stanford.nlp.util.StringUtils
Returns an text table containing the matrix of Strings passed in.
makeConsistent - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
makeDatum(List<IN>, int, FeatureFactory<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFBiasedClassifier
 
makeDatum(List<IN>, int, 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.
makeHTMLTable(String[][], String[], String[]) - Static method in class edu.stanford.nlp.util.StringUtils
Returns an HTML table containing the matrix of Strings passed in.
makeIntFromByte2(byte[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
 
makeIntFromByte4(byte[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
 
makeList(T) - Static method in class edu.stanford.nlp.util.CollectionUtils
Returns a new List containing the given object.
makeList(T, T) - Static method in class edu.stanford.nlp.util.CollectionUtils
Returns a new List containing the given objects.
makeList(T, T, T) - Static method in class edu.stanford.nlp.util.CollectionUtils
Returns a new List containing the given objects.
makeObjectBankFromFile(String, DocumentReaderAndWriter) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
makeObjectBankFromFiles(String[], DocumentReaderAndWriter) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
makeObjectBankFromFiles(String, String, DocumentReaderAndWriter) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
makeObjectBankFromFiles(Collection<File>, DocumentReaderAndWriter) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
makeObjectBankFromReader(BufferedReader, DocumentReaderAndWriter) - 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) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Reads a String into an ObjectBank object.
makePair(X, Y) - Static method in class edu.stanford.nlp.util.Pair
Returns a Pair constructed from X and Y.
makeReaderAndWriter() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
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
 
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
 
maleNameList - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
map - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
map - Variable in class edu.stanford.nlp.util.Interner
 
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(Filter<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(Filter<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
 
Maps - Class in edu.stanford.nlp.util
Utilities for Maps, including inverting, composing, and support for list/set values.
Maps() - Constructor for class edu.stanford.nlp.util.Maps
 
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
markBoundary() - Method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
 
markBoundary() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
MARKER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "marker" grammatical relation.
markHeadNodes(Tree) - Method in class edu.stanford.nlp.trees.TreePrint
 
markMasdar - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
markProperNN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
matcher(Tree) - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
Get a TregexMatcher for this pattern on this tree.
matches(Entity, int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
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(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
Say whether this regular expression matches this String.
matchesAt(Tree) - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
Rests the matcher and tests if it matches on the tree when rooted at node.
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(int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
Returns the greater of two int values.
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() - Method in class edu.stanford.nlp.stats.IntCounter
Finds and returns the largest count in this Counter.
max(E, E) - Static method in class edu.stanford.nlp.util.Interval
 
MAX_SWAPS - Static variable in class edu.stanford.nlp.util.MemoryMonitor
 
maxBeamSize - Variable in class edu.stanford.nlp.util.Beam
 
maxDocSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
maximalProjection(Tree, Tree, HeadFinder) - Static method in class edu.stanford.nlp.trees.Trees
returns the maximal projection of head in root given a HeadFinder
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
 
maxNGramLeng - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
maxNumClasses - Static variable in class edu.stanford.nlp.ie.crf.CRFLabel
 
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
 
maxTime - Variable in class edu.stanford.nlp.optimization.StochasticInPlaceMinimizer
 
maxTime - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
mean(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
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.
MemoryMonitor.PeakMemoryMonitor() - Constructor for class edu.stanford.nlp.util.MemoryMonitor.PeakMemoryMonitor
 
MemoryMonitor.PeakMemoryMonitor(int, int) - Constructor for class edu.stanford.nlp.util.MemoryMonitor.PeakMemoryMonitor
 
MemoryMonitor.PeakMemoryMonitor(int, int, PrintStream) - Constructor for class edu.stanford.nlp.util.MemoryMonitor.PeakMemoryMonitor
 
memoryThrift - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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.
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
mergeCliqueTemplates(DateTemplate, String, InfoTemplate) - Static method in class edu.stanford.nlp.ie.pascal.PascalTemplate
Merges partial (clique) templates into a full one.
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
 
mergeTags - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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
 
mf - Variable in class edu.stanford.nlp.util.CollectionValuedMap
 
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() - 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
 
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(Function<Double, Double>, double, double, double) - Method in class edu.stanford.nlp.optimization.GoldenSectionLineSearch
 
minimize(Function<Double, Double>) - Method in class edu.stanford.nlp.optimization.GoldenSectionLineSearch
 
minimize(DiffFunction, double, double[]) - Method in class edu.stanford.nlp.optimization.HybridMinimizer
 
minimize(DiffFunction, double, double[], int) - Method in class edu.stanford.nlp.optimization.HybridMinimizer
 
minimize(Function<Double, Double>) - 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, within functionTolerance.
minimize(T, double, double[], int) - Method in interface edu.stanford.nlp.optimization.Minimizer
 
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(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(Function, double, double[]) - Method in class edu.stanford.nlp.optimization.SMDMinimizer
 
minimize(Function, double, double[]) - Method in class edu.stanford.nlp.optimization.StochasticInPlaceMinimizer
 
minimize(Function, double, double[], int) - Method in class edu.stanford.nlp.optimization.StochasticInPlaceMinimizer
 
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.
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
 
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[].
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
 
MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "modifier" grammatical relation.
monitorX(double[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
 
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 interface edu.stanford.nlp.trees.TreebankLanguagePack
The morphological feature specification for the language.
MORPHO_MARK - Static variable in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
 
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
 
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
 
MOST_FREQ - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
 
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_WORD_EXPRESSION - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
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 - Specifies delimiter to use (instead of tab) -b - Boundary token (default is -X- ) -t - 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 handles
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.MultiClassStringLabelStats(Classifier<String, F>, GeneralDataset<String, F>, String) - Constructor for class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats.MultiClassStringLabelStats
 
MultiClassPrecisionRecallExtendedStats.MultiClassStringLabelStats(String) - Constructor for class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats.MultiClassStringLabelStats
 
MultiClassPrecisionRecallExtendedStats.MultiClassStringLabelStats(Index<String>, String) - Constructor for class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats.MultiClassStringLabelStats
 
MultiClassPrecisionRecallExtendedStats.StringStringConverter - Class in edu.stanford.nlp.stats
 
MultiClassPrecisionRecallExtendedStats.StringStringConverter() - Constructor for class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats.StringStringConverter
 
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
 
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.
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.
multiplyInto(double[], double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
 
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
 

N

naiveSimilarity(String, String) - Method in class edu.stanford.nlp.ie.pascal.AcronymModel
 
name() - Method in interface edu.stanford.nlp.trees.Dependency
Names the type of dependency (subject, instrument, ...).
name() - Method in class edu.stanford.nlp.trees.NamedDependency
 
name() - Method in class edu.stanford.nlp.trees.UnnamedDependency
 
name - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
 
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
 
nativeToAscii(String) - Static method in class edu.stanford.nlp.maxent.Convert
 
nChooseK(int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
Computes n choose k in an efficient way.
NEGATION_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "negation modifier" grammatical relation.
negIndex - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
 
negLabel - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
 
ner() - Method in class edu.stanford.nlp.ling.CoreLabel
Return the named entity class of the label (or null if none).
NERDemo - Class in edu.stanford.nlp.ie
This is a demo of calling CRFClassifier programmatically.
NERDemo() - Constructor for class edu.stanford.nlp.ie.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
 
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
 
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.
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
 
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
 
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(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.
newCoreLabelWhitespaceTokenizer(Reader) - 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.GrammaticalStructureFactory
Vend a new GrammaticalStructure based on the given Tree.
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
 
newIndex() - Static method in class edu.stanford.nlp.util.Generics
 
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
 
newLeaf(Label) - Method in class edu.stanford.nlp.trees.TreeGraphNodeFactory
 
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) - Static method in class edu.stanford.nlp.process.PTBTokenizer
Constructs a new PTBTokenizer that optionally returns newlines as their own token.
newPTBTokenizer(Reader, boolean, boolean) - Static method in class edu.stanford.nlp.process.PTBTokenizer
Constructs a new PTBTokenizer that makes CoreLabel tokens.
newPTBTokenizerFactory(boolean) - Static method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
Constructs a new PTBTokenizer that optionally returns carriage returns as their own token.
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
 
newStack() - Static method in class edu.stanford.nlp.util.Generics
 
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
 
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.
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
 
newTreeNode(Label, List<Tree>) - Method in class edu.stanford.nlp.trees.TreeGraphNodeFactory
 
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.LabeledScoredTreeReaderFactory
An implementation of the TreeReaderFactory interface.
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.PennTreeReaderFactory
 
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.SimpleTreeReaderFactory
Returns a new TreeReader.
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
 
newWeakReference(T) - Static method in class edu.stanford.nlp.util.Generics
 
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.process.AbstractTokenizer
Returns the next token from this Tokenizer.
next() - Method in class edu.stanford.nlp.process.Morphology
 
next() - Method in interface edu.stanford.nlp.process.Tokenizer
Returns the next token from this Tokenizer.
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.
nextToken - Variable in class edu.stanford.nlp.process.AbstractTokenizer
 
NO_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
NO_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
noadate - Variable in class edu.stanford.nlp.ie.pascal.DateTemplate
 
noChange(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
nodeArity() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
 
nodeCreated() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
 
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.
nodeString() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
 
nodeString() - Method in class edu.stanford.nlp.trees.Tree
Returns the value of the nodes label as a String.
noMidNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
NOMINAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "nominal passive subject" grammatical relation.
NOMINAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "nominal subject" grammatical relation.
nonTerminalInfo - Variable in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
 
noop(Object) - Static method in class edu.stanford.nlp.util.ErasureUtils
Does nothing, occasionally used to make Java happy that a value is used
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(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.
normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
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.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.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
 
notFilter(Filter<E>) - Static method in class edu.stanford.nlp.util.Filters
Filter that does the opposite of given filter (NOT).
NOUN_COMPOUND_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "noun compound modifier" grammatical relation.
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.
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.
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_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "compound number modifier" grammatical relation.
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.
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.GeneralizedExpectationObjectiveFunction
 
numClasses - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
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.EntityCachingAbstractSequencePrior
 
numClasses - Variable in class edu.stanford.nlp.ie.UniformPrior
 
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
 
NUMERIC_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "numeric modifier" grammatical relation.
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.GeneralizedExpectationObjectiveFunction
 
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
 
numIterations() - Method in class edu.stanford.nlp.sequences.CoolingSchedule
 
numPasses - Variable in class edu.stanford.nlp.optimization.StochasticInPlaceMinimizer
 
numPasses - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
numRows(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
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
 
numTags - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
numTimesPruneFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
numTimesRemoveTopN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 

O

OBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "object" grammatical relation.
object() - Method in class edu.stanford.nlp.util.ScoredObject
 
ObjectBank<E> - Class in 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.
ObjectBank(ReaderIteratorFactory, IteratorFromReaderFactory<E>) - Constructor for class edu.stanford.nlp.objectbank.ObjectBank
This creates a new ObjectBank with the given ReaderIteratorFactory and ObjectIteratorFactory.
ObjectBank.PathToFileFunction - Class in edu.stanford.nlp.objectbank
This is handy for having getLineIterator return a collection of files for feeding into another ObjectBank.
ObjectBank.PathToFileFunction() - Constructor for class edu.stanford.nlp.objectbank.ObjectBank.PathToFileFunction
 
ObjectBankWrapper<IN extends CoreMap> - Class in edu.stanford.nlp.sequences
This class is used to wrap the ObjectBank used by the sequence models and is where any sort of general processing, like the IOB mapping stuff and wordshape stuff, should go.
ObjectBankWrapper(SeqClassifierFlags, ObjectBank<List<IN>>, Set<String>) - Constructor for class edu.stanford.nlp.sequences.ObjectBankWrapper
 
objectEqualityIndexOf(Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees
Returns the index of daughter in parent by ==.
objects(int[]) - Method in class edu.stanford.nlp.util.HashIndex
Looks up the objects corresponding to an array of indices, and returns them in a Collection.
objects(int[]) - Method in interface edu.stanford.nlp.util.Index
Looks up the objects corresponding to an array of indices, and returns them in a Collection.
objectsList() - Method in class edu.stanford.nlp.util.HashIndex
Returns a complete List of indexed objects, in the order of their indices.
objectsList() - Method in interface edu.stanford.nlp.util.Index
Returns a complete List of indexed objects, in the order of their indices.
objectToColumnString(Object, String, String[]) - Static method in class edu.stanford.nlp.util.StringUtils
Converts an object into a tab delimited string with given fields Requires the object has public access for the specified fields
ocrFold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
ocrTrain - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
OFFSET_COMPARATOR - Static variable in interface edu.stanford.nlp.util.HasInterval
 
oldKey - Variable in enum edu.stanford.nlp.ling.AnnotationLookup.KeyLookup
 
oneDimensionalCounterView() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Returns a read-only synchronous view (not a snapshot) of this as a ClassicCounter.
oneTailedFishersExact(int, int, int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
Find a one-tailed Fisher's exact probability.
openFile(File) - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
openFile(File) - Static method in class edu.stanford.nlp.io.IOUtils
Quietly opens a File.
openNodeScope(Node) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
 
openURL(String) - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
opFmeasure() - Method in class edu.stanford.nlp.classify.PRCurve
 
optFmeasure(int) - Method in class edu.stanford.nlp.classify.PRCurve
what is the optimal f-measure we can achieve given recall guesses using the optimal monotonic function
optimalAccuracy() - Method in class edu.stanford.nlp.classify.PRCurve
 
optimalCwa() - Method in class edu.stanford.nlp.classify.PRCurve
optimal confidence weighted accuracy assuming for each recall we can fit an optimal monotonic function
optimalCwaArray() - Method in class edu.stanford.nlp.classify.PRCurve
confidence weighted accuracy assuming the scores are probabilities and using .5 as treshold
optimizedDotProduct(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
This method does not check entries for NAN or INFINITY values in the doubles returned.
options - Variable in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
 
orFilter(Filter<E>, Filter<E>) - Static method in class edu.stanford.nlp.util.Filters
Filter that accepts when either filter accepts (OR).
originalText() - Method in class edu.stanford.nlp.ling.CoreLabel
Return the String which is the original character sequence of the token.
originalText() - Method in interface edu.stanford.nlp.ling.HasContext
Return the String which is the original character sequence of the token.
OTHER - Static variable in class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
 
otherOccurrences(Entity) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
finds other locations in the sequence where the sequence of words in this entity occurs.
outDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
output() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
outputEncoding - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
outputFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
outputFormat - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
outputFrequency - Variable in class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
outputFrequency - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
outputIterationsToFile - Variable in class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
outputIterationsToFile - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
outputIterationsToFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
outputToCmd(OutputStream) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierEvaluator
 
outputToCmd(OutputStream) - Method in class edu.stanford.nlp.optimization.CmdEvaluator
 
outputToFile - Variable in class edu.stanford.nlp.optimization.QNMinimizer
 
outputTreeFormats - Static variable in class edu.stanford.nlp.trees.TreePrint
The legal output tree formats.
overlaps(Interval<E>) - Method in class edu.stanford.nlp.util.Interval
Check whether this interval overlaps with the other interval (i.e.

P

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(Object, int) - Static method in class edu.stanford.nlp.util.StringUtils
Pads the toString value of the given Object.
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 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.
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
 
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(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
pairwiseAddInPlace(double[], int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
pairwiseAddInPlace(double[], short[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
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
 
PARATAXIS - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "parataxis" grammatical relation.
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.
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.
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.
parseFields(BufferedReader, String, int[], int[]) - Static method in class edu.stanford.nlp.util.MemoryMonitor
 
parseMethod(String) - Static method in enum edu.stanford.nlp.optimization.StochasticCalculateMethods
 
parseOperation(String) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
Parses an operation string into a TsurgeonPattern.
parseString(String) - Method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
 
parseTag(String) - Static method in class edu.stanford.nlp.util.XMLUtils
 
PARTICIPIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "participial modifier" grammatical relation.
partitionIntoFolds(List<T>, int) - Static method in class edu.stanford.nlp.util.CollectionUtils
Split a list into numFolds (roughly) equally sized folds.
PascalTemplate - Class in edu.stanford.nlp.ie.pascal
Maps non-background Pascal fields to strings.
PascalTemplate() - Constructor for class edu.stanford.nlp.ie.pascal.PascalTemplate
 
PascalTemplate(PascalTemplate) - Constructor for class edu.stanford.nlp.ie.pascal.PascalTemplate
 
pasteDocument() - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
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.
pattern() - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
 
pearsonCorrelation(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Direct computation of Pearson product-moment correlation coefficient.
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().
peekNode() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
 
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(PrintStream) - Method in class edu.stanford.nlp.trees.Tree
Print the tree as done in Penn Treebank merged files.
pennPrint() - Method in class edu.stanford.nlp.trees.Tree
Print the tree as done in Penn Treebank merged files.
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
Vends PennTreeReader objects.
PennTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.PennTreeReaderFactory
Default constructor; uses a LabeledScoredTreeFactory, with StringLabels, a PennTreebankTokenizer, and a TreeNormalizer.
PennTreeReaderFactory(TreeFactory) - Constructor for class edu.stanford.nlp.trees.PennTreeReaderFactory
Specify your own TreeFactory; uses a PennTreebankTokenizer, and a TreeNormalizer.
PennTreeReaderFactory(TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.PennTreeReaderFactory
Specify your own TreeNormalizer; uses a PennTreebankTokenizer, and a LabeledScoredTreeFactory.
PennTreeReaderFactory(TreeFactory, TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.PennTreeReaderFactory
Specify your own TreeFactory; uses a PennTreebankTokenizer, and a TreeNormalizer.
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 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 CyclicCoreLabel and the CyclicCoreLabels of all its descendants.
perturbCounts(C, Random, double) - Static method in class edu.stanford.nlp.stats.Counters
 
PHRASAL_VERB_PARTICLE - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "phrasal verb particle" grammatical relation.
phraseGazettes - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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.OutputStyle - Enum in edu.stanford.nlp.sequences
 
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
 
pointers - Variable in class edu.stanford.nlp.ie.pascal.Alignment
 
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
 
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
 
popNode() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
 
POSSESSION_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
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.
possibleValues - Variable in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
possibleValues - Variable in class edu.stanford.nlp.ie.UniformPrior
 
postOperationFix(int, Tree[]) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
A way for subclasses to fix any heads under special conditions The default does nothing.
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: a, b and c -> we want a to be the head
postOrderNodeList() - Method in class edu.stanford.nlp.trees.Tree
 
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
 
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.
PRCurve - Class in edu.stanford.nlp.classify
 
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
PRECONJUNCT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "preconjunct" grammatical relation.
PREDETERMINER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "predeterminer" grammatical relation.
PREDICATE - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "predicate" grammatical relation.
predProp - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
preOrderNodeList() - Method in class edu.stanford.nlp.trees.Tree
 
prependingEntity(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
PREPOSITIONAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "prepositional complement" grammatical relation.
PREPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "prepositional modifier" grammatical relation.
PREPOSITIONAL_OBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "prepositional object" grammatical relation.
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.
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.
print() - Method in class edu.stanford.nlp.ie.pascal.Alignment
 
print() - Method in class edu.stanford.nlp.ie.pascal.PascalTemplate
 
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(Collection<TypedDependency>, 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, 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
 
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
 
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
 
printErrInvocationString(String, String[]) - Static method in class edu.stanford.nlp.util.StringUtils
 
printFeatureLists(IN, Collection<List<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(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 Format is with one line per token using the following format label feat1 feat2 ...
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
 
printFileNames() - Method in class edu.stanford.nlp.trees.DiskTreebank
 
printFirstOrderProbs(String, DocumentReaderAndWriter) - 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 & 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) - 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, 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.
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.
printLocalTree() - Method in class edu.stanford.nlp.trees.Tree
 
printLocalTree(PrintWriter) - Method in class edu.stanford.nlp.trees.Tree
 
printMinMax - Variable in class edu.stanford.nlp.optimization.SMDMinimizer
 
printNR - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
printProbs(String, DocumentReaderAndWriter) - 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 - 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.
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>) - 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.
printSamples(List, PrintStream) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
 
printSparseFeatureMatrix() - Method in class edu.stanford.nlp.classify.Dataset
prints the sparse feature matrix using Dataset.printSparseFeatureMatrix() to System.out.
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.RVFDataset
Prints the sparse feature matrix using RVFDataset.printSparseFeatureMatrix(PrintWriter) to System.out.
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.
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.
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.
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.
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
 
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 - Class in edu.stanford.nlp.ie.pascal
 
Prior(BufferedReader) - Constructor for class edu.stanford.nlp.ie.pascal.Prior
 
priorDerivative - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
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.
priorType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
prob(int, int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
prob(int, Object) - 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, Object[]) - 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(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
 
probs - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
probs(int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
probs(int, int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
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
 
processDocument(Document<L, F, IN>) - Method in class edu.stanford.nlp.process.WordToSentenceProcessor
 
processDocument(List<IN>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
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.
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
 
product(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns the product of c1 and c2.
PropertiesUtils - Class in edu.stanford.nlp.util
 
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
 
prune(Filter<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(Filter<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.
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
Fast, rule-based tokenizer implementation, initially written to conform to the Penn Treebank tokenization conventions, but now providing a range of tokenization options over a broader space of Unicode 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.
PUNCTUATION - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
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.pennchinese.ChineseTreebankLanguagePack
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.pennchinese.ChineseTreebankLanguagePack
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
 
PURPOSE_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "purpose clause modifier" grammatical relation.
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, Collection<V>) - Method in class edu.stanford.nlp.util.CollectionValuedMap
Replaces current Collection mapped to key with the specified Collection.
put(K, Collection<V>) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
 
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.
putAll(Map<? extends K, ? extends Collection<V>>) - Method in class edu.stanford.nlp.util.CollectionValuedMap
Unsupported.
putAll(Map<? extends K, ? extends Collection<V>>) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
 
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.

Q

QNMinimizer - Class in edu.stanford.nlp.optimization
An implementation of L-BFGS for Quasi Newton unconstrained minimization.
QNMinimizer(int) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
 
QNMinimizer(int, boolean) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
 
QNMinimizer() - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
 
QNMinimizer(Function) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
 
QNMinimizer(FloatFunction) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
 
QNMinimizer(Function, int) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
 
QNMinimizer(Function, int, boolean) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
 
QNMinimizer.eLineSearch - Enum in edu.stanford.nlp.optimization
 
QNMinimizer.eScaling - Enum in edu.stanford.nlp.optimization
 
QNMinimizer.eState - Enum in edu.stanford.nlp.optimization
 
QNMinimizer.QNInfo - Class in edu.stanford.nlp.optimization
The QNInfo class is used to store information about the Quasi Newton update.
QNMinimizer.QNInfo(int) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
QNMinimizer.QNInfo() - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
QNMinimizer.QNInfo(List<double[]>, List<double[]>) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
QNMinimizer.Record - Class in edu.stanford.nlp.optimization
The Record class is used to collect information about the function value over a series of iterations.
QNMinimizer.Record() - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.Record
 
QNMinimizer.Record(PrintWriter) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.Record
 
QNMinimizer.Record(boolean) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.Record
 
QNMinimizer.Record(boolean, Function) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.Record
 
QNMinimizer.Record(boolean, Function, double) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.Record
 
QNMinimizer.Record(boolean, Function, double, PrintWriter) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.Record
 
QNMinimizer.Record(boolean, Function, double, double) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.Record
 
QNMinimizer.SurpriseConvergence - Class in edu.stanford.nlp.optimization
 
QNMinimizer.SurpriseConvergence(String) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.SurpriseConvergence
 
QNPasses - Variable in class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
QNPasses - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
QNsize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
QNsize2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
QPtransform(Tree) - Static method in class edu.stanford.nlp.trees.QPTreeTransformer
Transforms t if it contains one of the following QP structure: QP (RB IN CD|DT ...) well over, more than QP (JJR IN CD|DT ...) fewer than QP (IN JJS CD|DT ...) at least
QPTreeTransformer - Class in edu.stanford.nlp.trees
Transforms an English structure parse tree in order to get the dependencies right: Adds an extra structure in QP phrases: (QP (RB well) (IN over) (CD 9)) becomes (QP (XS (RB well) (IN over)) (CD 9))
QPTreeTransformer() - Constructor for class edu.stanford.nlp.trees.QPTreeTransformer
 
QUADRATIC_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
QUADRATIC_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
QUANTIFIER_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "quantifier phrase modifier" grammatical relation.
QUARTIC_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
QUARTIC_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
quiet - Variable in class edu.stanford.nlp.optimization.StochasticInPlaceMinimizer
 
quiet - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 

R

r - Variable in class edu.stanford.nlp.util.MemoryMonitor
 
randGenerator - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
randomize(int) - Method in class edu.stanford.nlp.classify.GeneralDataset
Randomizes the data array in place Note: this cannot change the values array or the datum weights, so redefine this for RVFDataset and WeightedDataset!
randomize(int) - Method in class edu.stanford.nlp.classify.RVFDataset
Randomizes the data array in place Needs to be redefined here because we need to randomize the values as well
randomize(int) - Method in class edu.stanford.nlp.classify.WeightedDataset
Randomizes the data array in place Needs to be redefined here because we need to randomize the weights as well
randomizedRatio - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
read(DataInputStream) - Method in class edu.stanford.nlp.ling.WordTag
 
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
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
 
readDocumentFromFile(String) - Static method in class edu.stanford.nlp.util.XMLUtils
 
readDocumentFromString(String) - Static method in class edu.stanford.nlp.util.XMLUtils
 
readDoubleArr(DataInputStream) - Static method in class edu.stanford.nlp.maxent.Convert
 
readerAndWriter - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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.maxent.Convert
 
readLines(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, 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
 
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
 
readReaderFromString(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
readReaderFromString(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
Open a BufferedReader to a file or URL specified by a String name.
readResolve() - Method in class edu.stanford.nlp.sequences.Clique
 
readStreamFromString(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
readStringPair(DataInputStream) - Static method in class edu.stanford.nlp.util.Pair
Read a string representation of a Pair from a DataStream.
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.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.
recalculatePrevBatch - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
REFERENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
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.
ReflectionLoading.ReflectionLoadingException(Throwable) - Constructor for exception edu.stanford.nlp.util.ReflectionLoading.ReflectionLoadingException
 
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 and a string, returns a list with the values of the captured groups in the pattern.
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.
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
 
RelationalModel - Interface in edu.stanford.nlp.ie.pascal
An interface for the relational models in phase 2 of the pascal system.
RELATIVE - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "relative" grammatical relation.
RELATIVE_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "relative clause modifier" grammatical relation.
relativeIndex(int) - Method in class edu.stanford.nlp.sequences.Clique
 
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.
reln() - Method in class edu.stanford.nlp.trees.TypedDependency
 
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() - Method in interface edu.stanford.nlp.process.Tokenizer
Removes from the underlying collection the last element returned by the iterator.
remove(List<IN>) - 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(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 UnupportedOperationException.
remove(Class<KEY>) - 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.ConcurrentHashSet
 
remove(Object) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
 
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(Class<KEY>) - Method in interface edu.stanford.nlp.util.TypesafeMap
Removes the given key from the map, returning the value removed.
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<?>) - Method in class edu.stanford.nlp.util.ConcurrentHashSet
 
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.
removeFirst() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Finds the object 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.
removeKeys(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
Removes all entries with keys in the given collection
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.
removeMapping(K, V) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
 
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.
removeTopN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
removeTopNPercent - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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
 
removingBeginningOfEntity(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
removingEndOfEntity(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
renameToBackupName(File) - Static method in class edu.stanford.nlp.io.IOUtils
 
repeat(String, int) - Static method in class edu.stanford.nlp.util.StringUtils
 
repeat(char, int) - Static method in class edu.stanford.nlp.util.StringUtils
 
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(String, PrintWriter) - Method in class edu.stanford.nlp.util.Timing
Print elapsed time (without stopping timer).
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
 
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
 
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.
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.
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
 
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
 
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.
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<?>) - Method in class edu.stanford.nlp.util.ConcurrentHashSet
 
retainAll(Collection<E>, Filter<? super E>) - Static method in class edu.stanford.nlp.util.Filters
Removes all elems in the given Collection that aren't accepted by the given Filter.
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
 
retainKeys(Counter<String>, Collection<String>) - Static method in class edu.stanford.nlp.stats.Counters
Removes all entries with keys that does not match the given set of keys
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
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
 
reverseIndexOrder(TwoDimensionalCounter<K1, K2>) - Static method in class edu.stanford.nlp.stats.TwoDimensionalCounter
Produces a new ConditionalCounter.
reverseKeys() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
 
RichSimilarity(String, String) - Method in class edu.stanford.nlp.ie.pascal.AcronymModel
 
rif - Variable in class edu.stanford.nlp.objectbank.ObjectBank
 
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.
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.
rightMessage() - Method in class edu.stanford.nlp.sequences.Clique
 
rightWindow() - Method in class edu.stanford.nlp.ie.crf.CRFClassifier.TestSequenceModel
 
rightWindow() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
rightWindow() - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
rightWindow() - Method in class edu.stanford.nlp.ie.UniformPrior
 
rightWindow() - Method in class edu.stanford.nlp.sequences.FactoredSequenceModel
 
rightWindow() - Method in interface edu.stanford.nlp.sequences.SequenceModel
How many positions to the right a position is dependent on.
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 - Variable in class edu.stanford.nlp.trees.TreeGraph
The root node of this treegraph.
root() - Method in class edu.stanford.nlp.trees.TreeGraph
Return the root node of this treegraph.
rootLabelOnlyFormat - Static variable in class edu.stanford.nlp.trees.TreePrint
 
rootNode() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
 
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).
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.
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, 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.
RuntimeIOException - Exception in edu.stanford.nlp.io
An unchecked version of IOException.
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
An interfacing class for ClassifierFactory that incrementally builds a more memory-efficient representation of a List of RVFDatum objects for the purposes of training a Classifier with a ClassifierFactory.
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

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 largest 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(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
 
sampleDataset(int, double, boolean) - Method in class edu.stanford.nlp.classify.GeneralDataset
 
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) - 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
save(DataOutputStream) - Method in class edu.stanford.nlp.ling.WordTag
 
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(TwoDimensionalCounter<T1, T2>, String) - Static method in class edu.stanford.nlp.stats.Counters
 
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.maxent.Convert
 
saveFeatureIndexToDisk - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
saveFile(File, String) - Static method in class edu.stanford.nlp.ie.crf.NERGUI
 
saveFloatArr(DataOutputStream, float[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
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.
saveUntaggedContents(File) - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
say(String) - Method in class edu.stanford.nlp.optimization.StochasticInPlaceMinimizer
 
say(String) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
sayln(String) - Method in class edu.stanford.nlp.optimization.StochasticInPlaceMinimizer
 
sayln(String) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
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 - 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, During the final iterations a series of approximate hessian vector products are built up...
ScaledSGDMinimizer(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
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.weight - Class in edu.stanford.nlp.optimization
 
ScaledSGDMinimizer.weight(double[]) - Constructor for class edu.stanford.nlp.optimization.ScaledSGDMinimizer.weight
 
ScaledSGDMinimizer.weight(double[], double[]) - Constructor for class edu.stanford.nlp.optimization.ScaledSGDMinimizer.weight
 
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
 
scaleOpt - Variable in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
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
score - Variable in class edu.stanford.nlp.fsm.DFSA
 
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(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() - Method in interface edu.stanford.nlp.util.Scored
 
score() - Method in class edu.stanford.nlp.util.ScoredObject
 
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() - Constructor for class edu.stanford.nlp.util.ScoredObject
 
ScoredObject(T, double) - Constructor for class edu.stanford.nlp.util.ScoredObject
 
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(RVFDatum<L, F>, L) - Method in class edu.stanford.nlp.classify.LinearClassifier
Deprecated. 
scoreOf(int[]) - Method in class edu.stanford.nlp.ie.AcquisitionsPrior
 
scoreOf(int[], int) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier.TestSequenceModel
 
scoreOf(int[]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier.TestSequenceModel
 
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[]) - Method in class edu.stanford.nlp.ie.EmpiricalNERPrior
 
scoreOf(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
scoreOf(int[]) - Method in class edu.stanford.nlp.ie.SeminarsPrior
 
scoreOf(int[]) - Method in class edu.stanford.nlp.ie.UniformPrior
 
scoreOf(int[], int) - Method in class edu.stanford.nlp.ie.UniformPrior
 
scoreOf(int[], int) - Method in class edu.stanford.nlp.sequences.FactoredSequenceModel
 
scoreOf(int[]) - Method in class edu.stanford.nlp.sequences.FactoredSequenceModel
Computes the score assigned by this model to the provided sequence.
scoreOf(int[], int) - Method in interface edu.stanford.nlp.sequences.SequenceModel
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.
scoreOf(int[]) - Method in interface edu.stanford.nlp.sequences.SequenceModel
Computes the score assigned by this model to the whole sequence.
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.CRFClassifier.TestSequenceModel
 
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.EntityCachingAbstractSequencePrior
 
scoresOf(int[], int) - Method in class edu.stanford.nlp.ie.UniformPrior
 
scoresOf(int[], int) - Method in class edu.stanford.nlp.sequences.FactoredSequenceModel
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.
scoresOf(int[], int) - Method in interface edu.stanford.nlp.sequences.SequenceModel
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.
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.util.Pair
Direct access is deprecated.
second() - Method in class edu.stanford.nlp.util.Pair
 
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
 
segmentString(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
ONLY USE IF LOADED A CHINESE WORD SEGMENTER!!!!!
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.
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.
SemanticHeadFinder - Class in edu.stanford.nlp.trees
Implements a 'semantic head' variant of the the 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.
SeminarsPrior<IN extends CoreMap> - Class in edu.stanford.nlp.ie
 
SeminarsPrior(String, Index<String>, List<IN>) - Constructor for class edu.stanford.nlp.ie.SeminarsPrior
 
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
 
Sentence - Class in edu.stanford.nlp.ling
Sentence holds a couple utility methods for lists.
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.pennchinese.ChineseTreebankLanguagePack
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.pennchinese.ChineseTreebankLanguagePack
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.
sentIndex() - Method in class edu.stanford.nlp.ling.CoreLabel
sentIndex() - Method in interface edu.stanford.nlp.ling.HasIndex
 
SeqClassifierFlags - Class in edu.stanford.nlp.sequences
Flags for sequence classifiers.
SeqClassifierFlags() - Constructor for class edu.stanford.nlp.sequences.SeqClassifierFlags
 
SeqClassifierFlags(Properties) - Constructor for class edu.stanford.nlp.sequences.SeqClassifierFlags
Create a new SeqClassifierFlags object and initialize it using values in the Properties object.
sequence - Variable in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
sequence - Variable in class edu.stanford.nlp.ie.UniformPrior
 
SequenceGibbsSampler - Class in edu.stanford.nlp.sequences
A Gibbs sampler for sequence models.
SequenceGibbsSampler(int, int, SequenceListener, List, boolean) - 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
 
SequenceListener - Interface in edu.stanford.nlp.sequences
A class capable of listening to changes about a sequence, represented as an array of type int.
SequenceModel - Interface in edu.stanford.nlp.sequences
Class capable of scoring sequences of a fixed length, typically with a probability distribution over such sequences.
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
 
serialize(PrintWriter) - Method in class edu.stanford.nlp.ie.pascal.Alignment
 
serializeClassifier(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Serialize a sequence classifier to a file on the given path.
serializeClassifier(String) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Serialize a sequence classifier to a file on the given path.
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
 
serializeTextClassifier(String) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Serialize the model to a human readable format.
serializeTo - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
serializeToText - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
serializeWeights(String, double[]) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
serializeWeights(String, double[], double[]) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
set(double, double) - Method in class edu.stanford.nlp.math.DoubleAD
 
set(T1) - Method in interface edu.stanford.nlp.optimization.StochasticMinimizer.PropertySetter
 
set(int, Tree) - Method in class edu.stanford.nlp.trees.MemoryTreebank
 
set(Class<KEY>, VALUE) - Method in class edu.stanford.nlp.util.ArrayCoreMap
Associates the given value with the given type for future calls to get.
set(Class<KEY>, 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<KEY>, VALUE) - Method in interface edu.stanford.nlp.util.TypesafeMap
Associates the given value with the given type for future calls to get.
setAccepting(boolean) - Method in class edu.stanford.nlp.fsm.DFSAState
 
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.
setAltTag(String) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
 
setBatchSize(int) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
setBatchSize(int) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
 
setBatchSize(int) - Method in class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
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.
setBeginPosition(int) - Method in class edu.stanford.nlp.ling.CoreLabel
 
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.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
 
setCapacity(int) - Method in class edu.stanford.nlp.util.ArrayCoreMap
 
setCategoriesToAvoid(String[]) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
Set categories which, if it comes to last resort processing (i.e.
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(int, Tree) - Method in class edu.stanford.nlp.trees.Tree
Replaces the ith child of this with the tree t.
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.
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
 
setCounter(K1, ClassicCounter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
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.
setDefaultNegTag(String) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
 
setDefaultPosTag(String) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
 
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
 
setDep(TreeGraphNode) - 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
 
setdot(double) - Method in class edu.stanford.nlp.math.DoubleAD
 
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
 
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.StringLabel
 
setEolString(String) - Method in class edu.stanford.nlp.process.TokenizerAdapter
Set the String returned when the inner tokenizer returns an end-of-line token.
setEPS(double) - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
 
setEpsilon(double) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Sets the epsilon value for LogConditionalObjectiveFunction.
setEpsilon(double) - Method in class edu.stanford.nlp.classify.LogPrior
 
setEvalCmd(String) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierEvaluator
Set the evaluation command (set to null to skip evaluation using command line)
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, Evaluator[]) - Method in class edu.stanford.nlp.optimization.StochasticInPlaceMinimizer
 
setEvaluators(int, Evaluator[]) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
setExtra() - Method in class edu.stanford.nlp.trees.TypedDependency
 
setFirst(T1) - Method in class edu.stanford.nlp.util.Pair
 
setFirst(T1) - Method in class edu.stanford.nlp.util.Triple
 
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 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.Tree
 
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.
setGov(TreeGraphNode) - Method in class edu.stanford.nlp.trees.TypedDependency
 
setHeldOutSearcher(LineSearcher) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Set the LineSearcher to be used in LinearClassifierFactory.heldOutSetSigma(GeneralDataset, GeneralDataset).
setHelperFunction(CRFLogConditionalObjectiveFunction) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierEvaluator
Set helper function
setHessSampleSize(int) - Method in class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
setHistory(List<double[]>, List<double[]>) - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
setHistory(List<double[]>, List<double[]>) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
setIgnoreProvidedTag(boolean) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
 
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.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.EntityCachingAbstractSequencePrior
 
setInitialSequence(int[]) - Method in class edu.stanford.nlp.ie.UniformPrior
 
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
 
setLabel(LAB) - Method in class edu.stanford.nlp.ie.crf.CRFDatum
Removes all currently assigned Labels for this Datum then adds the given Label.
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.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(CyclicCoreLabel) - 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
 
setLemma(String) - Method in class edu.stanford.nlp.ling.CoreLabel
 
setLemma(String) - Method in class edu.stanford.nlp.ling.WordLemmaTag
 
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
 
setMaxTime(Long) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
setMem(int) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Set the mem value for QNMinimizer.
setMinimizer(Minimizer<DiffFunction>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Sets the minimizer.
setNegLabel(String) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
 
setNER(String) - Method in class edu.stanford.nlp.ling.CoreLabel
 
setObject(T) - Method in class edu.stanford.nlp.util.ScoredObject
 
setOldOptions() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
setOneSentence(boolean) - Method in class edu.stanford.nlp.process.WordToSentenceProcessor
 
setOptions(String) - Method in interface edu.stanford.nlp.objectbank.TokenizerFactory
 
setOptions(String) - Method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
 
setOptions(String) - Method in class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
 
setOptions(String) - Method in class edu.stanford.nlp.trees.TreeTokenizerFactory
 
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.
setParent(TreeGraphNode) - Method in class edu.stanford.nlp.trees.TreeGraphNode
Set the parent for the current node.
setPatternString(String) - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
 
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.LogConditionalObjectiveFunction
 
setPrior(LogPrior) - Method in class edu.stanford.nlp.classify.SemiSupervisedLogConditionalObjectiveFunction
 
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.
setQNMem(int) - Method in class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
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(TsurgeonPatternRoot) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonPattern
 
Sets - Class in edu.stanford.nlp.util
Utilities for sets.
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
 
setSecond(T2) - Method in class edu.stanford.nlp.util.Pair
 
setSecond(T2) - Method in class edu.stanford.nlp.util.Triple
 
setSentenceBoundaryToDiscard(Set<String>) - Method in class edu.stanford.nlp.process.WordToSentenceProcessor
 
setSentIndex(int) - Method in class edu.stanford.nlp.ling.CoreLabel
setSentIndex(int) - Method in interface edu.stanford.nlp.ling.HasIndex
 
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
 
setSource(int) - Method in class edu.stanford.nlp.util.IntUni
 
setSpans() - Method in class edu.stanford.nlp.trees.Tree
 
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
 
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(Label) - Method in class edu.stanford.nlp.ling.LabeledWord
 
setTag(String) - Method in class edu.stanford.nlp.ling.TaggedWord
 
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
 
setTestData(Collection<List<IN>>, List<Pair<int[][][], int[]>>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierEvaluator
Set the data to test on
setThird(T3) - Method in class edu.stanford.nlp.util.Triple
 
setTokenizerFactory(TokenizerFactory<? extends HasWord>) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
setTol(double) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Set the tolerance.
setTOL(double) - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
 
setToLogDeterministic(float[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
 
setToLogDeterministic(double[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
 
setTreeGraph(TreeGraph) - Method in class edu.stanford.nlp.trees.TreeGraphNode
Set pointer to the TreeGraph of which this node is a part.
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.
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%).
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.
setUseSumCondObjFun(boolean) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
setval(double) - Method in class edu.stanford.nlp.math.DoubleAD
 
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, String) - Method in class edu.stanford.nlp.ie.pascal.PascalTemplate
Sets template values.
setValue(int, String) - Method in class edu.stanford.nlp.ie.pascal.PascalTemplate
 
setValue(String) - Method in class edu.stanford.nlp.ling.CoreLabel
Set the value for the label (if one is stored).
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(double) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
setValue(double) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
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
 
setVerbose(boolean) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Set the verbose flag for CGMinimizer.
setWeights(double[][]) - Method in class edu.stanford.nlp.classify.LinearClassifier
 
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 (if one is stored).
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.Word
 
setWord(String) - Method in class edu.stanford.nlp.ling.WordLemmaTag
 
setWord(String) - Method in class edu.stanford.nlp.ling.WordTag
 
SGD2QNhessSamples - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
SGDMinimizer<T extends Function> - Class in edu.stanford.nlp.optimization
Stochastic Gradient Descent Minimizer The basic way to use the minimizer is with a null constructor, then the simple minimize method:

SGDMinimizer() - Constructor for class edu.stanford.nlp.optimization.SGDMinimizer
 
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, boolean) - Constructor for class edu.stanford.nlp.optimization.SGDMinimizer
 
SGDMinimizer(double, int, int, long) - Constructor for class edu.stanford.nlp.optimization.SGDMinimizer
 
SGDMinimizer(double, int, int, long, boolean) - 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, During the final iterations a series of approximate hessian vector products are built up...
SGDToQNMinimizer(SeqClassifierFlags) - 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
 
SGDToQNMinimizer(double, int, int, int) - Constructor for class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
shift(int) - Method in class edu.stanford.nlp.sequences.Clique
 
SHIFT_BOTH - Static variable in class edu.stanford.nlp.ie.pascal.AlignmentFactory
 
SHIFT_LONG - Static variable in class edu.stanford.nlp.ie.pascal.AlignmentFactory
 
SHIFT_SHORT - Static variable in class edu.stanford.nlp.ie.pascal.AlignmentFactory
 
shiftLeft() - Method in class edu.stanford.nlp.util.IntTuple
 
shortArrToByteArr(short[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
shortArrToByteArr(short[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
shortArrToByteArr(byte[], int, short[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
shortForm - Variable in class edu.stanford.nlp.ie.pascal.Alignment
 
shortValue() - Method in class edu.stanford.nlp.util.MutableDouble
 
shortValue() - Method in class edu.stanford.nlp.util.MutableInteger
 
shuffle(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
shuffle(int[], Random) - Static method in class edu.stanford.nlp.math.ArrayMath
 
shutUp() - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
 
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.SMDMinimizer
 
shutUp() - Method in class edu.stanford.nlp.optimization.StochasticInPlaceMinimizer
 
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.
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.optimization.StochasticInPlaceMinimizer
 
sigma - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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.
similarity(String, String) - Method in class edu.stanford.nlp.ie.pascal.AcronymModel
 
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
 
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.
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.
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.
SimpleTreeFactory(LabelFactory) - Constructor for class edu.stanford.nlp.trees.SimpleTreeFactory
Creates a new TreeFactory.
SimpleTreeReaderFactory - Class in edu.stanford.nlp.trees
This class implements a simple default TreeReaderFactory.
SimpleTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.SimpleTreeReaderFactory
 
size - Variable in class edu.stanford.nlp.classify.GeneralDataset
 
size() - Method in class edu.stanford.nlp.classify.GeneralDataset
Returns the number of examples (Datums) in the Dataset.
size() - Method in class edu.stanford.nlp.objectbank.ObjectBank
Can be slow.
size() - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
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 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.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.ConcurrentHashSet
 
size() - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
 
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.PaddedList
 
size() - Method in interface edu.stanford.nlp.util.TypesafeMap
Returns the number of keys in the map.
skewDivergence(Counter<E>, Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
Calculates the skew divergence between the two counters.
skipRoot() - Method in class edu.stanford.nlp.trees.Tree
Returns first child if it is single and if the label at the current node is either "ROOT" or empty.
sList - Variable in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
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.
slurpFile(File, String) - Static method in class edu.stanford.nlp.io.IOUtils
Returns all the text in the given File.
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.
slurpFileNoExceptions(String) - Static method in class edu.stanford.nlp.io.IOUtils
Returns all the text in the given File.
slurpGBFile(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
slurpGBFileNoExceptions(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
slurpGBURL(URL) - Static method in class edu.stanford.nlp.io.IOUtils
Returns all the text at the given URL.
slurpGBURLNoExceptions(URL) - Static method in class edu.stanford.nlp.io.IOUtils
Returns all the text at the given URL.
slurpGZippedFile(String) - Static method in class edu.stanford.nlp.io.IOUtils
Returns all the text in the given File.
slurpGZippedFile(File) - Static method in class edu.stanford.nlp.io.IOUtils
Returns all the text in the given File.
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.
SMDMinimizer<T extends Function> - Class in edu.stanford.nlp.optimization
Stochastic Meta Descent Minimizer based on
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
 
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(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
 
spliceOut(Filter<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(Filter<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
 
split(int, int) - Method in class edu.stanford.nlp.classify.Dataset
 
split(int, int) - Method in class edu.stanford.nlp.classify.GeneralDataset
 
split(double) - Method in class edu.stanford.nlp.classify.GeneralDataset
 
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.
splitDocuments - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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
 
splittingTwoEntities(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
SQNMinimizer<T extends Function> - Class in edu.stanford.nlp.optimization
Online Limited-Memory Quasi-Newton BFGS implementation based on the algorithms in
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
 
st - Variable in class edu.stanford.nlp.process.TokenizerAdapter
 
standardDeviation(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
standardErrorOfMean(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
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.
start(double, double[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
 
start(double, double[], double[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
 
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.
startFold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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.pennchinese.ChineseTreebankLanguagePack
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.
startTime() - Static method in class edu.stanford.nlp.util.Timing
Start (static) timer.
state - Variable in class edu.stanford.nlp.classify.CrossValidator.SavedState
 
stateID() - Method in class edu.stanford.nlp.fsm.DFSAState
 
states() - Method in class edu.stanford.nlp.fsm.DFSA
 
statesReachable() - Method in class edu.stanford.nlp.fsm.DFSAState
 
stdev(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
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 annotation ann to the given CoreLabel.
stemAcronym(String, CliqueTemplates) - Static method in class edu.stanford.nlp.ie.pascal.PascalTemplate
 
stemmedAcronymIndex - Variable in class edu.stanford.nlp.ie.pascal.CliqueTemplates
 
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().
stemStaticSynchronized(String, String) - Static method in class edu.stanford.nlp.process.Morphology
 
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
 
StochasticInPlaceMinimizer<T extends Function> - Class in edu.stanford.nlp.optimization
In place Stochastic Gradient Descent Minimizer.
StochasticInPlaceMinimizer() - Constructor for class edu.stanford.nlp.optimization.StochasticInPlaceMinimizer
 
StochasticInPlaceMinimizer(double, int) - Constructor for class edu.stanford.nlp.optimization.StochasticInPlaceMinimizer
 
StochasticInPlaceMinimizer(double, int, int) - Constructor for class edu.stanford.nlp.optimization.StochasticInPlaceMinimizer
 
StochasticInPlaceMinimizer(LogPrior, int, int, int) - Constructor for class edu.stanford.nlp.optimization.StochasticInPlaceMinimizer
 
StochasticInPlaceMinimizer.InvalidElementException - Class in edu.stanford.nlp.optimization
 
StochasticInPlaceMinimizer.InvalidElementException(String) - Constructor for class edu.stanford.nlp.optimization.StochasticInPlaceMinimizer.InvalidElementException
 
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.InvalidElementException - Class in edu.stanford.nlp.optimization
 
StochasticMinimizer.InvalidElementException(String) - Constructor for class edu.stanford.nlp.optimization.StochasticMinimizer.InvalidElementException
 
StochasticMinimizer.PropertySetter<T1> - Interface in edu.stanford.nlp.optimization
 
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.
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
 
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
 
stringAToByteArr(String) - Static method in class edu.stanford.nlp.maxent.Convert
 
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.
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
 
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.maxent.Convert
 
stripAcronym(String) - Static method in class edu.stanford.nlp.ie.pascal.AcronymModel
 
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 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
 
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
 
strToFeatures(String) - Method in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
 
subArray(int[], int, int) - Static method in class edu.stanford.nlp.math.ArrayMath
 
subCWGaz - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
subdate - Variable in class edu.stanford.nlp.ie.pascal.DateTemplate
 
SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "subject" grammatical relation.
subList(int, int) - Method in class edu.stanford.nlp.trees.MemoryTreebank
 
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(TwoDimensionalCounter<K1, K2>, boolean) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
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 numbers.
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 - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
 
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 stderr for the Dataset.
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
 
sums - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
sumSquared(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
sumSquaredError(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
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.
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(Filter<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() - Constructor for class edu.stanford.nlp.util.SystemUtils
 
SystemUtils.ProcessException - Exception in edu.stanford.nlp.util
Runtime exception thrown by execute.
SystemUtils.ProcessException(String) - Constructor for exception edu.stanford.nlp.util.SystemUtils.ProcessException
 
SystemUtils.ProcessException(Throwable) - Constructor for exception edu.stanford.nlp.util.SystemUtils.ProcessException
 
SystemUtils.ProcessOutputStream - Class in edu.stanford.nlp.util
Helper class that acts as a output stream to a process
SystemUtils.ProcessOutputStream(String[]) - Constructor for class edu.stanford.nlp.util.SystemUtils.ProcessOutputStream
 
SystemUtils.ProcessOutputStream(String[], Writer) - Constructor for class edu.stanford.nlp.util.SystemUtils.ProcessOutputStream
 
SystemUtils.ProcessOutputStream(String[], Writer, Writer) - Constructor for class edu.stanford.nlp.util.SystemUtils.ProcessOutputStream
 
SystemUtils.ProcessOutputStream(ProcessBuilder, Writer, Writer) - Constructor for class edu.stanford.nlp.util.SystemUtils.ProcessOutputStream
 

T

t0 - Variable in class edu.stanford.nlp.optimization.StochasticInPlaceMinimizer
 
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.LabeledWord
 
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.pipeline.LabeledChunkIdentifier.LabelTagType
 
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
taggedLabeledYield() - Method in class edu.stanford.nlp.trees.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.
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.
takeStep(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
takeStep(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
 
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
 
target - Variable in class edu.stanford.nlp.fsm.DFSATransition
 
target() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
TEMPORAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "temporal modifier" grammatical relation.
terminateOnAverageImprovement(boolean) - 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
 
testBatchSize - Variable in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
testConditionNumber(int) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
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
 
testFiles - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
testHessSamples - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
testObjFunction - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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.
testVariance(double[]) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
testVariance - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
TeXHyphenator - Class in edu.stanford.nlp.ie.pascal
Hyphenates words according to the TeX algorithm.
TeXHyphenator() - Constructor for class edu.stanford.nlp.ie.pascal.TeXHyphenator
 
text - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
 
TEXT_SERIALIZATION_DELIMITER - Static variable in class edu.stanford.nlp.classify.LinearClassifier
 
textFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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.).
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
tg - Variable in class edu.stanford.nlp.trees.TreeGraphNode
The TreeGraph of which this node is part.
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
 
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.
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.trees.AbstractCollinsHeadFinder
 
tlp - Variable in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
 
tlp - Variable in class edu.stanford.nlp.trees.DependencyTreeTransformer
 
to1D(double[][]) - Method in class edu.stanford.nlp.classify.AdaptedGaussianPriorObjectiveFunction
 
to1D(float[][]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
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(float[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
to2D(double[]) - 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 featuresIndex the second element is the index of the of the element
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
 
toAllWeightsString() - Method in class edu.stanford.nlp.classify.LinearClassifier
 
toArray(List<Integer>) - Static method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
toArray() - Method in class edu.stanford.nlp.objectbank.ObjectBank
Can be slow.
toArray(T[]) - Method in class edu.stanford.nlp.objectbank.ObjectBank
Can be slow.
toArray() - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
toArray(List<IN>[]) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
toArray() - Method in class edu.stanford.nlp.util.ConcurrentHashSet
 
toArray(T[]) - Method in class edu.stanford.nlp.util.ConcurrentHashSet
 
toArray(T[]) - Method in interface edu.stanford.nlp.util.Index
 
toAscii(String) - Static method in class edu.stanford.nlp.util.StringUtils
 
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
 
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() - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
This function checks for convergence through first order optimality, numerical convergence (i.e., zero numerical gradient), and also by checking the average improvement.
toCoreLabelList(String...) - Static method in class edu.stanford.nlp.ling.Sentence
 
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(String[]) - Static method in class edu.stanford.nlp.util.StringUtils
 
toDebugStructureString(Tree) - Static method in class edu.stanford.nlp.trees.Trees
Return information about the objects in this Tree.
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.
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.
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.
toHistogramString() - Method in class edu.stanford.nlp.classify.LinearClassifier
 
toInterval(E, E) - Static method in class edu.stanford.nlp.util.Interval
Create an interval with the specified endpoints in the specified order, Returns null if a does not come before b (invalid interval)
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.
toInvocationString(String, String[]) - Static method in class edu.stanford.nlp.util.StringUtils
 
tokenFactory - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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.
Tokenizer<T> - Interface in edu.stanford.nlp.process
Tokenizers break up text into individual Objects.
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.objectbank
A TokenizerFactory is used to convert a java.io.Reader into a Tokenizer (or an Iterator) over the Objects represented by the text in the java.io.Reader.
tokensAnnotationClassName - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
tokensCorrect - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
tokensCount - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
tolerance - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
toList(Iterable<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
Create a list out of the items in the Iterable.
toLower(char[]) - Static method in class edu.stanford.nlp.ie.pascal.AlignmentFactory
 
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.
toMatrixString(int) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
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.
topFeaturesToString(List<Triple<F, L, Double>>) - Method in class edu.stanford.nlp.classify.LinearClassifier
Returns string representation of a list of top features
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.
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.CyclicCoreLabel
 
toPrimes() - Method in class edu.stanford.nlp.trees.TreeGraphNode
 
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
 
toRankCounter(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Converts a counter to ranks
toRelFlags(int, int) - Method in class edu.stanford.nlp.util.Interval
 
toSecondsString() - Method in class edu.stanford.nlp.util.Timing
 
toSecondsString(long) - Static method in class edu.stanford.nlp.util.Timing
 
toSentenceString(ArrayList) - 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
 
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() - 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
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.ie.crf.CRFDatum
Returns a String representation of this BasicDatum (lists features and labels).
toString(Index) - 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.EntityCachingAbstractSequencePrior
 
toString(int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
toString() - Method in class edu.stanford.nlp.ie.pascal.AcronymModel.AfterAligned
 
toString() - Method in class edu.stanford.nlp.ie.pascal.AcronymModel.AlignedPerWord
 
toString() - Method in class edu.stanford.nlp.ie.pascal.AcronymModel.BegWord
 
toString() - Method in class edu.stanford.nlp.ie.pascal.AcronymModel.EndWord
 
toString() - Method in interface edu.stanford.nlp.ie.pascal.AcronymModel.Feature
 
toString() - Method in class edu.stanford.nlp.ie.pascal.AcronymModel.LettersAligned
 
toString() - Method in class edu.stanford.nlp.ie.pascal.AcronymModel.SyllableBoundary
 
toString() - Method in class edu.stanford.nlp.ie.pascal.AcronymModel.WordsSkipped
 
toString() - Method in class edu.stanford.nlp.ie.pascal.Alignment
 
toString(String) - Method in class edu.stanford.nlp.ie.pascal.Alignment
 
toString() - Method in class edu.stanford.nlp.ie.pascal.DateTemplate
 
toString() - Method in class edu.stanford.nlp.ie.pascal.InfoTemplate
 
toString() - Method in class edu.stanford.nlp.ie.pascal.PascalTemplate
 
toString(int[]) - Static method in class edu.stanford.nlp.ie.pascal.TeXHyphenator
 
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.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.CyclicCoreLabel
Return a String containing the value (and index, if any) of this label.
toString(String) - Method in class edu.stanford.nlp.ling.CyclicCoreLabel
Returns a formatted string representing this 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.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.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(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.pipeline.Annotation
 
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.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.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.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.TreeGraph
Return a String representing this treegraph.
toString() - Method in class edu.stanford.nlp.trees.TreeGraphNode
 
toString(String) - Method in class edu.stanford.nlp.trees.TreeGraphNode
 
toString() - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
 
toString() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonPattern
 
toString() - Method in class edu.stanford.nlp.trees.TypedDependency
 
toString(boolean) - 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
 
toString() - Method in class edu.stanford.nlp.util.ArrayHeap
Prints the array entries in sorted comparator order.
toString(int[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
toString(boolean[][]) - 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 maxKeysToPring elements.
toString() - Method in class edu.stanford.nlp.util.CollectionValuedMap
 
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 maxKeysToPring 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.IntTuple
 
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 maxKeysToPring elements.
toString() - Method in class edu.stanford.nlp.util.ScoredComparator
 
toString() - Method in class edu.stanford.nlp.util.ScoredObject
 
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.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 an Appendable, such as a StringBuffer.
toStringBuilder(StringBuilder, boolean) - Method in class edu.stanford.nlp.trees.Tree
Appends the printed form of a parse tree (as a bracketed String) to an Appendable, such as a StringBuffer.
toStringOneEntryPerLine() - Method in class edu.stanford.nlp.util.HashIndex
 
toStringOneEntryPerLine(int) - Method in class edu.stanford.nlp.util.HashIndex
 
toStructureDebugString() - Method in class edu.stanford.nlp.trees.Tree
Returns a String reporting what kinds of Tree and Label nodes this Tree contains.
toSummaryStatistics() - Method in class edu.stanford.nlp.classify.Dataset
 
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.Sentence
Create an ArrayList as a list of TaggedWord from two lists of String, one for the words, and the second for the tags.
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(Filter<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
 
totalDoubleCount() - Method in class edu.stanford.nlp.stats.IntCounter
 
totalDoubleCount(Filter<E>) - Method in class edu.stanford.nlp.stats.IntCounter
 
totalIntCount() - Method in class edu.stanford.nlp.stats.IntCounter
Returns the current total count for all objects in this Counter.
totalIntCount(Filter<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
 
toUntaggedList(List<String>) - Static method in class edu.stanford.nlp.ling.Sentence
Create an ArrayList as a list of Word from a list of String.
toUntaggedList(String...) - Static method in class edu.stanford.nlp.ling.Sentence
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.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(List<String>) - Static method in class edu.stanford.nlp.ling.Sentence
 
toWordList(String...) - Static method in class edu.stanford.nlp.ling.Sentence
 
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.
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) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
train(String, String, DocumentReaderAndWriter) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
train(String[], DocumentReaderAndWriter) - 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) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Trains a classifier from a Collection of sequences.
train(Collection<List<IN>>, DocumentReaderAndWriter) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Train a classifier from documents.
trainClassifier(List<RVFDatum<L, F>>) - Method in class edu.stanford.nlp.classify.AbstractLinearClassifierFactory
 
trainClassifier(Collection<Datum<L, F>>) - Method in class edu.stanford.nlp.classify.AbstractLinearClassifierFactory
Takes a Collection of Datum objects and gives you back a Classifier trained on it.
trainClassifier(Reference<Collection<Datum<L, F>>>) - Method in class edu.stanford.nlp.classify.AbstractLinearClassifierFactory
Takes a Reference to a Collection of Datum objects and gives you back a Classifier trained on them
trainClassifier(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.AbstractLinearClassifierFactory
Trains a Classifier on a Dataset.
trainClassifier(List<RVFDatum<L, F>>) - Method in interface edu.stanford.nlp.classify.ClassifierFactory
Deprecated. 
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(List<RVFDatum<L, F>>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Deprecated. 
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.
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
 
trainHierarchical - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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.
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
 
trainWeightsSemiSup(GeneralDataset<L, F>, GeneralDataset<L, F>, double[][], double[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
transferSigmas - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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.
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.
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.DependencyTreeTransformer
 
transformTree(Tree) - Method in class edu.stanford.nlp.trees.QPTreeTransformer
Right now (July 2007) we only deal with the following QP structures: QP (RB IN CD|DT ...) well over, more than QP (JJR IN CD|DT ...) fewer than QP (IN JJS CD|DT ...) at least
transformTree(Tree) - Method in interface edu.stanford.nlp.trees.TreeTransformer
Does whatever one needs to do to a particular tree.
transition(T) - Method in class edu.stanford.nlp.fsm.DFSAState
 
transitions() - Method in class edu.stanford.nlp.fsm.DFSAState
 
traverseLocate(Tree[], String[], boolean) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
Attempt to locate head daughter tree from among daughters.
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 extendable type.
Tree() - Constructor for class edu.stanford.nlp.trees.Tree
 
TREE_SET_FACTORY - Static variable in class edu.stanford.nlp.util.CollectionFactory
 
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.
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.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.
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.
TreeCoreAnnotations - Class in edu.stanford.nlp.trees
Set of common annotations for CoreMaps that require classes from the trees package.
TreeCoreAnnotations.HeadTagAnnotation - Class in edu.stanford.nlp.trees
The standard key for storing a head tag in the map as a pointer to another node.
TreeCoreAnnotations.HeadTagAnnotation() - Constructor for class edu.stanford.nlp.trees.TreeCoreAnnotations.HeadTagAnnotation
 
TreeCoreAnnotations.HeadWordAnnotation - Class in edu.stanford.nlp.trees
The standard key for storing a head word in the map as a pointer to another node.
TreeCoreAnnotations.HeadWordAnnotation() - Constructor for class edu.stanford.nlp.trees.TreeCoreAnnotations.HeadWordAnnotation
 
TreeCoreAnnotations.TreeAnnotation - Class in edu.stanford.nlp.trees
The CoreMap key for getting the syntactic parse tree of a sentence.
TreeCoreAnnotations.TreeAnnotation() - Constructor for class edu.stanford.nlp.trees.TreeCoreAnnotations.TreeAnnotation
 
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 TreeGraphNodes.
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.
TreeGraph - Class in edu.stanford.nlp.trees
A TreeGraph is a tree with additional directed, labeled arcs between arbitrary pairs of nodes.
TreeGraph(Tree) - Constructor for class edu.stanford.nlp.trees.TreeGraph
Construct a new TreeGraph having the same tree structure and label values as an existing tree (but no shared storage).
TreeGraph(TreeGraphNode) - Constructor for class edu.stanford.nlp.trees.TreeGraph
 
treeGraph() - Method in class edu.stanford.nlp.trees.TreeGraphNode
Get the TreeGraph of which this node is a part.
TreeGraphNode - Class in edu.stanford.nlp.trees
A "treegraph" is a tree with additional directed, labeled arcs between arbitrary pairs of nodes.
TreeGraphNode() - Constructor for class edu.stanford.nlp.trees.TreeGraphNode
Create a new empty TreeGraphNode.
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, TreeGraph) - 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).
TreeGraphNode(TreeGraphNode) - Constructor for class edu.stanford.nlp.trees.TreeGraphNode
 
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 nodes in a TreeGraph.
TreeGraphNodeFactory() - Constructor for class edu.stanford.nlp.trees.TreeGraphNodeFactory
Make a TreeFactory that produces TreeGraphNodes.
TreeGraphNodeFactory(LabelFactory) - Constructor for class edu.stanford.nlp.trees.TreeGraphNodeFactory
 
treeMapFactory() - Static method in class edu.stanford.nlp.util.MapFactory
Return a MapFactory that returns an TreeMap.
TreeNormalizer - Class in edu.stanford.nlp.trees
A class for tree normalization.
TreeNormalizer() - Constructor for class edu.stanford.nlp.trees.TreeNormalizer
 
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
The anglocentric constructor.
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.trees.AbstractTreebankLanguagePack
Returns a TreeReaderFactory suitable for general purpose use with this language/treebank.
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
 
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.
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
A TregexMatcher can be used to match a TregexPattern against a Tree.
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 tgrep-type pattern for matching tree node configurations.
TregexPattern.TRegexTreeReaderFactory - Class in edu.stanford.nlp.trees.tregex
 
TregexPattern.TRegexTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.tregex.TregexPattern.TRegexTreeReaderFactory
 
TregexPattern.TRegexTreeReaderFactory(TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.tregex.TregexPattern.TRegexTreeReaderFactory
 
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
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
 
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
 
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.StochasticInPlaceMinimizer
 
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.
TsurgeonParseException - Exception in edu.stanford.nlp.trees.tregex.tsurgeon
A runtime exception that indicates something went wrong parsing a tsurgeon expression.
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 Trees when successfully matched on with a TregexMatcher.
tune(Function, double[], long) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
tune(Function, double[], long, double, double) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
 
tune(Function, double[], long) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
 
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(AbstractStochasticCachingDiffUpdateFunction, double[], int, double) - Method in class edu.stanford.nlp.optimization.StochasticInPlaceMinimizer
Finds a good learning rate to start with eta = 1/(lambda*(t0+t)) - we find good t0
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
 
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.StochasticInPlaceMinimizer
 
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
 
twoStage - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
type - Variable in class edu.stanford.nlp.classify.LogPrior
 
type - Variable in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier.LabelTagType
 
type - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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(boolean) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Returns the typed dependencies of this grammatical structure.
typedDependenciesCCprocessed(boolean) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Get the typed dependencies after collapsing them and processing eventual CC complements.
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(boolean) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Get the typed dependencies after collapsing them.
typedDependenciesCollapsedTree() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Get the typed dependencies after mostly collapsing them, but keep a tree structure.
TypedDependency - Class in edu.stanford.nlp.trees
A TypedDependency is a relation between two words in a GrammaticalStructure.
TypedDependency(GrammaticalRelation, TreeGraphNode, TreeGraphNode) - Constructor for class edu.stanford.nlp.trees.TypedDependency
 
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.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.
typeMatches(LabeledChunkIdentifier.LabelTagType) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier.LabelTagType
 
TypesafeMap<BASE> - Interface in edu.stanford.nlp.util
Type signature for a class that supports the basic operations required of a typesafe heterogeneous map.
TypesafeMap.Key<BASE,VALUE> - Interface in edu.stanford.nlp.util
Base type of keys for the map.

U

UCPtransform(Tree) - Static method in class edu.stanford.nlp.trees.CoordinationTransformer
Transforms t if it contains an UCP, it will change the UCP tag into the phrasal tag of the first word of the UCP (UCP (JJ electronic) (, ,) (NN computer) (CC and) (NN building)) will become (ADJP (JJ electronic) (, ,) (NN computer) (CC and) (NN building))
unbox(Collection<Double>) - Static method in class edu.stanford.nlp.math.ArrayMath
 
unboxToInt(Collection<Integer>) - Static method in class edu.stanford.nlp.math.ArrayMath
 
uncheckedCast(Object) - Static method in class edu.stanford.nlp.util.ErasureUtils
Casts an Object to a T
unescapeStringForXML(String) - Static method in class edu.stanford.nlp.util.XMLUtils
 
UniformPrior<IN extends CoreMap> - Class in edu.stanford.nlp.ie
Uniform prior to be used for generic Gibbs inference in the ie.crf.CRFClassifier
UniformPrior(String, Index<String>, List<IN>) - Constructor for class edu.stanford.nlp.ie.UniformPrior
 
union(C, C) - Static method in class edu.stanford.nlp.stats.Counters
Returns a Counter that is the union of the two Counters passed in (counts are added).
union(Collection<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
union(Set<E>, Set<E>) - Static method in class edu.stanford.nlp.util.Sets
Returns the union of sets s1 and s2.
unionAsSet(Collection<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
uniqueNonhashableObjects(Collection<ObjType>, Function<ObjType, Hashable>) - Static method in class edu.stanford.nlp.util.CollectionUtils
Makes it possible to uniquify a collection of objects which are normally non-hashable.
unknownWordDistSimClass - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
What class to assign to words not found in the dist sim lexicon.
unlock() - Method in class edu.stanford.nlp.util.HashIndex
Unlocks the Index.
unlock() - Method in interface edu.stanford.nlp.util.Index
Unlocks the Index.
unmodifiableCounter(Counter<T>) - Static method in class edu.stanford.nlp.stats.Counters
Returns unmodifiable view of the counter.
unmodifiableView() - Method in class edu.stanford.nlp.util.HashIndex
Returns an unmodifiable view of the Index.
UnnamedConcreteDependency - Class in edu.stanford.nlp.trees
An individual dependency between a head and a dependent.
UnnamedConcreteDependency(String, int, String, int) - Constructor for class edu.stanford.nlp.trees.UnnamedConcreteDependency
 
UnnamedConcreteDependency(Label, int, Label, int) - Constructor for class edu.stanford.nlp.trees.UnnamedConcreteDependency
 
UnnamedConcreteDependency(Label, Label) - Constructor for class edu.stanford.nlp.trees.UnnamedConcreteDependency
 
UnnamedDependency - Class in edu.stanford.nlp.trees
An individual dependency between a head and a dependent.
UnnamedDependency(String, String) - Constructor for class edu.stanford.nlp.trees.UnnamedDependency
 
UnnamedDependency(Label, Label) - Constructor for class edu.stanford.nlp.trees.UnnamedDependency
 
unnormalizedConditionalLogProbGivenFirst(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.
unnormalizedLogProb(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
unnormalizedLogProb(int[]) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
unnormalizedLogProbEnd(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
unnormalizedLogProbEnd(int) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
unnormalizedLogProbEnd(int[]) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
unnormalizedLogProbEnd(int) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
unnormalizedLogProbFront(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
unnormalizedLogProbFront(int) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
unnormalizedLogProbFront(int[]) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
unpackToCliqueTemplates(CliqueTemplates, double) - Method in class edu.stanford.nlp.ie.pascal.PascalTemplate
Divides this template into partial templates, and updates the counts of these partial templates in the CliqueTemplates object.
update(double[], double[], double[], double[], double) - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
update(double[], double[], double, double, double, double) - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
updateLabels(int[]) - Method in class edu.stanford.nlp.classify.Dataset
 
updateSequenceElement(int[], int, int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
Informs this sequence model that the value of the element at position pos has changed.
updateSequenceElement(int[], int, int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
updateSequenceElement(int[], int, int) - Method in class edu.stanford.nlp.ie.UniformPrior
 
updateSequenceElement(int[], int, int) - Method in class edu.stanford.nlp.sequences.FactoredSequenceListener
Informs this sequence model that the value of the element at position pos has changed.
updateSequenceElement(int[], int, int) - Method in interface edu.stanford.nlp.sequences.SequenceListener
Informs this sequence listener that the value of the element at position pos has changed.
upperMostUnary(Tree) - Method in class edu.stanford.nlp.trees.Tree
Return the highest node of the (perhaps trivial) unary chain that this node is part of.
urls - Variable in class edu.stanford.nlp.ie.pascal.CliqueTemplates
 
URLSimilarity(String, String) - Static method in class edu.stanford.nlp.ie.pascal.AcronymModel
 
use2W - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
use4Clique - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
USE_ACCURACY - Static variable in class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
USE_LOGLIKELIHOOD - Static variable in class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
useAbbr - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useAbbr1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useABGENE - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useABSTR - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useABSTRFreq - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useABSTRFreqDict - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useAccCase - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useAcqPrior - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useACR - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useAgreement - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useAltGazFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useAnnexing - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useANTE - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useAs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useASBCChar2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useASBCPre1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useASBCSuf1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useAuxPairs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useBacktracking() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
useBeginSent - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useBig5 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useBigramInTwoClique - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useBoundarySequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useChPos - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
use POS information (an "open" feature for Chinese segmentation)
useChunks - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useChunkySequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useClassFeature - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useCommonWordsFeature - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useConcord - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useConjBreak - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useConjugateGradientAscent(boolean) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Sets the minimizer to CGMinimizer, with the passed verbose flag.
useConjugateGradientAscent() - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Sets the minimizer to CGMinimizer.
useCorefFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useCTBChar2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useCTBPre1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useCTBSuf1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDiagonalScaling() - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
useDiagonalScaling() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
useDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDictASBC2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDictCTB2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDictHK2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDictionaryConjunctions - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDictionaryConjunctions3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDictleng - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDictPK2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDisjShape - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDisjunctive - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDisjunctiveShapeInteraction - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDistSim - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usedSwap - Variable in class edu.stanford.nlp.util.MemoryMonitor
 
useEitherSideDisjunctive - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useEitherSideWord - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useEntityRule - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useEntityTypes - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useEntityTypeSequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useExternal - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useExtraTaggySequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useFeaturesC4gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useFeaturesC5gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useFeaturesC6gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useFeaturesCpC4gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useFeaturesCpC5gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useFeaturesCpC6gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useFilter - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useFirstNgram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useFirstWord - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useFloat - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useFREQ - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useGazettePhrases - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useGazettes - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useGazFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useGenericFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useGENIA - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useGoodForNamesCpC - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useHeadGov - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useHk - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useHKChar2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useHKPre1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useHKSuf1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useHuber - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useHybrid - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useHybridMinimizer() - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useHybridMinimizer(double, int, StochasticCalculateMethods, int) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useHybridMinimizerWithInPlaceSGD(int, int, double) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useIfInteger - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useInna - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useInPlaceSGD - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useInPlaceStochasticGradientDescent() - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useInPlaceStochasticGradientDescent(int, int, double) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useInternal - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useIsDateRange - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useIsURL - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useIterable - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
useKBest - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useLastNgram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useLastRealWord - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useLC - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useLemmaAsWord - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useLemmas - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useLongSequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useMidDotShape - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useMinimalAbbr - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useMinimalAbbr1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useMinPackSearch() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
useMoreAbbr - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useMoreGazFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useMoreTags - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useMsr - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useMSRChar2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useMUCFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNB - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegASBCDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegASBCDict3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegASBCDict4 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegCTBDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegCTBDict3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegCTBDict4 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegDict3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegDict4 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegHKDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegHKDict3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegHKDict4 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegPKDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegPKDict3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegPKDict4 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNERPrior - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNext - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNextRealWord - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNextSequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNextVB - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNPGovernor - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNPHead - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNumberFeature - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useObservedFeaturesOnly - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useObservedSequencesOnly - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useOccurrencePatterns - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useOnlySeenWeights - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useOrdinal - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useOutDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useParenMatching - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePath - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePhraseFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePhraseWords - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePhraseWordSpecialTags - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePhraseWordTags - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePk - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePKChar2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePKPre1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePKSuf1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePos - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePosition - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePPVBPairs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePre - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePrediction - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePrediction2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePrev - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePrevNextLemmas - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePrevSequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePrevVB - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useProtoFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useQN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useQuartic - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useQuasiNewton() - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Sets the minimizer to QuasiNewton.
useQuasiNewton(boolean) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useRad1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useRad2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useRad2b - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useRadical - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useReverse - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useReverseAffix - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useRobustQN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useRule - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useRule2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useScalarScaling() - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
useScalarScaling() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
useScaledSGD - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSeenFeaturesOnly - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSegmentation - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSemPrior - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSGD - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSGDtoQN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useShapeConjunctions - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useShapeStrings - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useShapeStrings1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useShapeStrings3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useShapeStrings4 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useShapeStrings5 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSMD - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useStochasticGradientDescent() - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useStochasticGradientDescent(double, int) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useStochasticGradientDescentToQuasiNewton(SeqClassifierFlags) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useStochasticMetaDescent() - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useStochasticMetaDescent(double, int, StochasticCalculateMethods, int) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useStochasticQN(double, int) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useStochasticQN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSuf - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSum - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSummedConditionalLikelihood - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
useSVO - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSymTags - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSymWordPairs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useSymWordPairs Has a small negative effect.
useTaggySequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTaggySequencesShapeInteraction - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTags - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTagsCpC - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTagsCpCp2C - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTagsCpCp2Cp3C - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTagsCpCp2Cp3Cp4C - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTemporalNN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTitle - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTOK - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTopics - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTypeSeqs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTypeSeqs2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTypeSeqs3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTypeySequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useUnicodeBlock - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useUnicodeType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useUnicodeType4gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useUnicodeType5gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useUniformPrior - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
If true and doGibbs also true, will do generic Gibbs inference without any priors
useUnknown - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useURLSequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useVB - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useViterbi - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWEB - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWEBFreqDict - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWideDisjunctive - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWord - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWord1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWord2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWord3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWord4 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWordLabelCounts - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWordn - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWordnetFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWordPairs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWordShapeConjunctions2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWordShapeConjunctions3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWordShapeGaz - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWordTag - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWordUTypeConjunctions2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWordUTypeConjunctions3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useYetMoreCpCShapes - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
uStringArrToByteArr(String[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
uStringArrToByteArr(String[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
uStringArrToByteArr(byte[], int, String[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 

V

v - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
value(Alignment) - Method in class edu.stanford.nlp.ie.pascal.AcronymModel.AfterAligned
 
value(Alignment) - Method in class edu.stanford.nlp.ie.pascal.AcronymModel.AlignedPerWord
 
value(Alignment) - Method in class edu.stanford.nlp.ie.pascal.AcronymModel.BegWord
 
value(Alignment) - Method in class edu.stanford.nlp.ie.pascal.AcronymModel.EndWord
 
value(Alignment) - Method in interface edu.stanford.nlp.ie.pascal.AcronymModel.Feature
 
value(Alignment) - Method in class edu.stanford.nlp.ie.pascal.AcronymModel.LettersAligned
 
value(Alignment) - Method in class edu.stanford.nlp.ie.pascal.AcronymModel.SyllableBoundary
 
value(Alignment) - Method in class edu.stanford.nlp.ie.pascal.AcronymModel.WordsSkipped
 
value() - Method in class edu.stanford.nlp.ling.CoreLabel
Return a String representation of just the "main" value of this label.
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() - 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.trees.Constituent
Return the value of the label (or null if none).
value() - Method in class edu.stanford.nlp.trees.Tree
 
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 NOTE: This function does not do regularization (regularization is done by minimizer)
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 xcale) only over samples indexed by batch
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
 
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.international.morph.MorphoFeatureSpecification.MorphoFeatureType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.ling.AnnotationLookup.KeyLookup
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 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.QNMinimizer.eLineSearch
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.optimization.QNMinimizer.eScaling
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.optimization.QNMinimizer.eState
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(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 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) - Static method in enum edu.stanford.nlp.trees.GrammaticalRelation.Language
Returns the enum constant of this type with the specified name.
valueOf(String, Collection<GrammaticalRelation>) - Static method in class edu.stanford.nlp.trees.GrammaticalRelation
Returns the GrammaticalRelation having the given string representation (e.g.
valueOf(GrammaticalRelation.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 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 enum edu.stanford.nlp.util.Interval.RelType
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.
values - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
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.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.ling.AnnotationLookup.KeyLookup
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.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.QNMinimizer.eLineSearch
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.QNMinimizer.eScaling
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.QNMinimizer.eState
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.sequences.PlainTextDocumentReaderAndWriter.OutputStyle
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 class edu.stanford.nlp.trees.EnglishGrammaticalRelations
 
values(boolean) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
 
values() - Static method in enum edu.stanford.nlp.trees.GrammaticalRelation.Language
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() - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
 
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.
valuesLock - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
 
valuesLock() - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
 
valueSplit(String, String, String) - Static method in class edu.stanford.nlp.util.StringUtils
Split a string into tokens.
variance(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
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.sequences.SequenceGibbsSampler
 
verboseForTrueCasing - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
verboseMode - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
verify() - Method in class edu.stanford.nlp.util.ArrayHeap
 
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
 
ViterbiSearchGraphBuilder - Class in edu.stanford.nlp.sequences
 
ViterbiSearchGraphBuilder() - Constructor for class edu.stanford.nlp.sequences.ViterbiSearchGraphBuilder
 

W

w - Variable in class edu.stanford.nlp.optimization.ScaledSGDMinimizer.weight
 
wasSuccessful() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
weakHashMapFactory() - Static method in class edu.stanford.nlp.util.MapFactory
Return a MapFactory that returns a WeakHashMap.
weight(F, L) - Method in class edu.stanford.nlp.classify.LinearClassifier
 
WeightedDataset<L,F> - Class in edu.stanford.nlp.classify
 
WeightedDataset(Index<L>, int[], Index<F>, int[][], int, float[]) - Constructor for class edu.stanford.nlp.classify.WeightedDataset
 
WeightedDataset() - Constructor for class edu.stanford.nlp.classify.WeightedDataset
 
WeightedDataset(int) - Constructor for class edu.stanford.nlp.classify.WeightedDataset
 
weights() - Method in class edu.stanford.nlp.classify.LinearClassifier
 
weights - Variable in class edu.stanford.nlp.classify.WeightedDataset
 
weightsAsMapOfCounters() - Method in class edu.stanford.nlp.classify.LinearClassifier
This method returns a map from each label to a counter of feature weights for that label.
WhitespaceTokenizer<T extends HasWord> - Class in edu.stanford.nlp.process
A WhitespaceTokenizer is a tokenizer that splits on and discards only whitespace characters.
WhitespaceTokenizer(LexedTokenFactory, Reader, boolean) - Constructor for class edu.stanford.nlp.process.WhitespaceTokenizer
Constructs a new WhitespaceTokenizer
WhitespaceTokenizer.WhitespaceTokenizerFactory<T extends HasWord> - Class in edu.stanford.nlp.process
A factory which vends WhitespaceTokenizers.
WhitespaceTokenizer.WhitespaceTokenizerFactory(LexedTokenFactory<T>) - Constructor for class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
 
WhitespaceTokenizer.WhitespaceTokenizerFactory(LexedTokenFactory<T>, boolean) - Constructor for class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
 
wideDisjunctionWidth - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
wikiFeatureDbFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
window() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
windowSize - Variable in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
windowSize() - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
windowSize() - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
word - Variable in class edu.stanford.nlp.ling.CategoryWordTag
 
word() - Method in class edu.stanford.nlp.ling.CategoryWordTag
 
word() - Method in class edu.stanford.nlp.ling.CoreLabel
Return the word value of the label (or null if none).
word() - Method in interface edu.stanford.nlp.ling.HasWord
Return the word value of the label (or null if none).
Word - Class in edu.stanford.nlp.ling
A Word object acts as a Label by containing a String.
Word() - Constructor for class edu.stanford.nlp.ling.Word
Construct a new word with a null value.
Word(String) - Constructor for class edu.stanford.nlp.ling.Word
Construct a new word, with the given value.
Word(String, int, int) - Constructor for class edu.stanford.nlp.ling.Word
Construct a new word, with the given value.
Word(Label) - Constructor for class edu.stanford.nlp.ling.Word
Creates a new word whose word value is the value of any class that supports the Label interface.
word() - Method in class edu.stanford.nlp.ling.Word
 
word() - Method in class edu.stanford.nlp.ling.WordLemmaTag
 
word() - Method in class edu.stanford.nlp.ling.WordTag
 
WordFactory - Class in edu.stanford.nlp.ling
A WordFactory acts as a factory for creating objects of class Word.
WordFactory() - Constructor for class edu.stanford.nlp.ling.WordFactory
Creates a new WordFactory.
WordLemmaTag - Class in edu.stanford.nlp.ling
A WordLemmaTag corresponds to a pair of a tagged (e.g., for part of speech) word and its lemma.
WordLemmaTag(String) - Constructor for class edu.stanford.nlp.ling.WordLemmaTag
 
WordLemmaTag(Label) - Constructor for class edu.stanford.nlp.ling.WordLemmaTag
 
WordLemmaTag() - Constructor for class edu.stanford.nlp.ling.WordLemmaTag
 
WordLemmaTag(String, String) - Constructor for class edu.stanford.nlp.ling.WordLemmaTag
Create a new WordLemmaTag.
WordLemmaTag(String, String, String) - Constructor for class edu.stanford.nlp.ling.WordLemmaTag
Create a new WordLemmaTag.
WordLemmaTag(Label, Label) - Constructor for class edu.stanford.nlp.ling.WordLemmaTag
Create a new WordLemmaTag from a Label.
WordLemmaTagFactory - Class in edu.stanford.nlp.ling
/** A WordLemmaTagFactory acts as a factory for creating objects of class WordLemmaTag.
WordLemmaTagFactory() - Constructor for class edu.stanford.nlp.ling.WordLemmaTagFactory
Create a new WordLemmaTagFactory.
WordLemmaTagFactory(char) - Constructor for class edu.stanford.nlp.ling.WordLemmaTagFactory
Create a new WordLemmaTagFactory.
WordNetConnection - Interface in edu.stanford.nlp.trees
Allows us to verify that a wordnet connection is available without compile time errors if the package is not found.
wordNetContains(String) - Method in interface edu.stanford.nlp.trees.WordNetConnection
 
wordShape(String, int) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
Specify the String and the int identifying which word shaper to use and this returns the result of using that wordshaper on the String.
wordShape(String, int, Collection<String>) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
Specify the string and the int identifying which word shaper to use and this returns the result of using that wordshaper on the String.
wordShape - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
WORDSHAPECHRIS1 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPECHRIS2 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPECHRIS2USELC - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPECHRIS3 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPECHRIS3USELC - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPECHRIS4 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WordShapeClassifier - Class in edu.stanford.nlp.process
Provides static methods which map any String to another String indicative of its "word shape" -- e.g., whether capitalized, numeric, etc.
WORDSHAPEDAN1 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEDAN2 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEDAN2BIO - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEDAN2BIOUSELC - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEDAN2USELC - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEDIGITS - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
wordShapeGaz - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
WORDSHAPEJENNY1 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEJENNY1USELC - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WordStemmer - Class in edu.stanford.nlp.trees
Stems the Words in a Tree using Morphology.
WordStemmer() - Constructor for class edu.stanford.nlp.trees.WordStemmer
 
wordsToSentences(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.
WordTag - Class in edu.stanford.nlp.ling
A WordTag corresponds to a tagged (e.g., for part of speech) word and is implemented with String-valued word and tag.
WordTag(String, String) - Constructor for class edu.stanford.nlp.ling.WordTag
Create a new WordTag.
WordTag(String) - Constructor for class edu.stanford.nlp.ling.WordTag
 
WordTag(E) - Constructor for class edu.stanford.nlp.ling.WordTag
 
WordTag() - Constructor for class edu.stanford.nlp.ling.WordTag
 
WordTag(Label, Label) - Constructor for class edu.stanford.nlp.ling.WordTag
Create a new WordTag from a Label.
WordTagFactory - Class in edu.stanford.nlp.ling
A WordTagFactory acts as a factory for creating objects of class WordTag.
WordTagFactory() - Constructor for class edu.stanford.nlp.ling.WordTagFactory
Create a new WordTagFactory.
WordTagFactory(char) - Constructor for class edu.stanford.nlp.ling.WordTagFactory
Create a new WordTagFactory.
WordTokenFactory - Class in edu.stanford.nlp.process
Constructs a Word from a String.
WordTokenFactory() - Constructor for class edu.stanford.nlp.process.WordTokenFactory
 
WordToSentenceProcessor<IN> - Class in edu.stanford.nlp.process
Transforms a Document of Words into a Document of Sentences by grouping the Words.
WordToSentenceProcessor() - Constructor for class edu.stanford.nlp.process.WordToSentenceProcessor
Create a WordToSentenceProcessor using a sensible default list of tokens to split on.
WordToSentenceProcessor(String) - Constructor for class edu.stanford.nlp.process.WordToSentenceProcessor
Flexibly set the set of acceptable sentence boundary tokens, but with a default set of allowed boundary following tokens (based on English and Penn Treebank encoding).
WordToSentenceProcessor(String, Set<String>) - Constructor for class edu.stanford.nlp.process.WordToSentenceProcessor
Flexibly set the set of acceptable sentence boundary tokens and also the set of tokens commonly following sentence boundaries, and the set of discarded separator tokens.
WordToSentenceProcessor(String, Set<String>, Set<String>) - Constructor for class edu.stanford.nlp.process.WordToSentenceProcessor
Flexibly set the set of acceptable sentence boundary tokens, the set of tokens commonly following sentence boundaries, and also the set of tokens that are sentences boundaries that should be discarded.
WordToSentenceProcessor(Pattern, Pattern) - Constructor for class edu.stanford.nlp.process.WordToSentenceProcessor
 
wordToString(T, boolean) - Static method in class edu.stanford.nlp.ling.Sentence
 
wordToString(T, boolean, String) - Static method in class edu.stanford.nlp.ling.Sentence
 
workdate - Variable in class edu.stanford.nlp.ie.pascal.DateTemplate
 
workshopInfoCliqueCounter - Variable in class edu.stanford.nlp.ie.pascal.CliqueTemplates
 
write(int) - Method in class edu.stanford.nlp.io.BZip2PipedOutputStream
 
write(int) - Method in class edu.stanford.nlp.util.SystemUtils.ProcessOutputStream
 
writeAnswers(List<IN>, OutputStream, DocumentReaderAndWriter) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Write the classifications of the Sequence classifier out to stdout in a format determined by the DocumentReaderAndWriter used.
writeAStringToByteArr(byte[], int, String) - Static method in class edu.stanford.nlp.maxent.Convert
 
writeAStringToByteArr(byte[], int, String, int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
writeBooleanToByteArr(byte[], int, boolean) - Static method in class edu.stanford.nlp.maxent.Convert
 
writeCharToByteArr(byte[], int, char) - Static method in class edu.stanford.nlp.maxent.Convert
 
writeClassifier(LinearClassifier<?, ?>, String) - Static method in class edu.stanford.nlp.classify.LinearClassifier
Convenience wrapper for IOUtils.writeObjectToFile
writeDoubleToByteArr(byte[], int, double) - Static method in class edu.stanford.nlp.maxent.Convert
 
writeFloatToByteArr(byte[], int, float) - Static method in class edu.stanford.nlp.maxent.Convert
 
writeIntToByteArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
writeLongToByteArr(byte[], int, long) - Static method in class edu.stanford.nlp.maxent.Convert
 
writeObjectToFile(Object, String) - Static method in class edu.stanford.nlp.io.IOUtils
Write object to a file with the specified name.
writeObjectToFile(Object, File) - Static method in class edu.stanford.nlp.io.IOUtils
Write an object to a specified File.
writeObjectToFile(Object, File, boolean) - Static method in class edu.stanford.nlp.io.IOUtils
Write an object to a specified File.
writeObjectToFileNoExceptions(Object, String) - Static method in class edu.stanford.nlp.io.IOUtils
Write object to a file with the specified name.
writeObjectToTempFile(Object, String) - Static method in class edu.stanford.nlp.io.IOUtils
Write object to temp file which is destroyed when the program exits.
writeObjectToTempFileNoExceptions(Object, String) - Static method in class edu.stanford.nlp.io.IOUtils
Write object to a temp file and ignore exceptions.
writeShortToByteArr(byte[], int, short) - Static method in class edu.stanford.nlp.maxent.Convert
 
writeStreamFromString(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
writeStreamToStream(InputStream, OutputStream) - Static method in class edu.stanford.nlp.io.IOUtils
Send all bytes from the input stream to the output stream.
writeSVMLightFormat(File) - Method in class edu.stanford.nlp.classify.RVFDataset
Write the dataset in SVM-light format to the file.
writeToFieldValueCounter(Counter<String>[], double) - Method in class edu.stanford.nlp.ie.pascal.PascalTemplate
Should be passed a Counter[], each entry of which keeps scores for possibilities in that template slot.
writeUStringToByteArr(byte[], int, String) - Static method in class edu.stanford.nlp.maxent.Convert
 
writeUStringToByteArr(byte[], int, String, int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 

X

x - Variable in class edu.stanford.nlp.optimization.StochasticInPlaceMinimizer
 
x - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
xAD - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
XCLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
An open clausal complement (xcomp) of a VP or an ADJP is a clausal complement without its own subject, whose reference is determined by an external subject.
XMLUtils - Class in edu.stanford.nlp.util
Provides some utilities for dealing with XML files, both by properly parsing them and by using the methods of a desperate Perl hacker.
XMLUtils.XMLTag - Class in edu.stanford.nlp.util
 
XMLUtils.XMLTag(String) - Constructor for class edu.stanford.nlp.util.XMLUtils.XMLTag
Assumes that String contains an XML tag.
xnorm - Variable in class edu.stanford.nlp.optimization.StochasticInPlaceMinimizer
 
xPerturbed - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
xscale - Variable in class edu.stanford.nlp.optimization.StochasticInPlaceMinimizer
 

Y

yield() - Method in class edu.stanford.nlp.trees.Tree
Gets the yield of the tree.
yield(ArrayList<Label>) - Method in class edu.stanford.nlp.trees.Tree
Gets the yield of the tree.
yield(List<T>) - Method in class edu.stanford.nlp.trees.Tree
Gets the yield of the tree.
yieldHasWord() - Method in class edu.stanford.nlp.trees.Tree
 
yieldHasWord(ArrayList<X>) - Method in class edu.stanford.nlp.trees.Tree
 
yieldWords() - Method in class edu.stanford.nlp.trees.Tree
 
yieldWords(ArrayList<Word>) - Method in class edu.stanford.nlp.trees.Tree
 
yList - Variable in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 

Z

ZERO_TGN_CHILDREN - Static variable in class edu.stanford.nlp.trees.TreeGraphNode
A leaf node should have a zero-length array for its children.

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Stanford NLP Group