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

A

absoluteDifference(GenericCounter<E>, GenericCounter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns |c1 - c2|.
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
 
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
 
AbstractListProcessor<IN,OUT> - Class in edu.stanford.nlp.process
Class AbstractListProcessor
AbstractListProcessor() - Constructor for class edu.stanford.nlp.process.AbstractListProcessor
 
AbstractMapLabel - Class in edu.stanford.nlp.ling
An abstract class for Label objects which store attributes in a Map.
AbstractMapLabel() - Constructor for class edu.stanford.nlp.ling.AbstractMapLabel
 
AbstractMapLabel(MapFactory) - Constructor for class edu.stanford.nlp.ling.AbstractMapLabel
 
AbstractSequenceClassifier - Class in edu.stanford.nlp.ie
This class provides common functionality for (probabilistic) sequence models.
AbstractSequenceClassifier() - Constructor for class edu.stanford.nlp.ie.AbstractSequenceClassifier
This does nothing.
AbstractTokenizer<T> - Class in edu.stanford.nlp.process
An abstract tokenizer.
AbstractTokenizer() - Constructor for class edu.stanford.nlp.process.AbstractTokenizer
 
accept(T) - Method in interface edu.stanford.nlp.util.Filter
Checks if the given object passes the filter.
adaptFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
NER adapation (Gaussian prior) parameters.
adaptSigma - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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(List<FeatureLabel>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
add(E) - Method in class edu.stanford.nlp.util.ArrayHeap
Adds an object to the heap.
add(Object) - 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(E) - Method in interface edu.stanford.nlp.util.Heap
Adds the object to the heap.
add(E) - Method in class edu.stanford.nlp.util.Index
Adds an object to the 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(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<FeatureLabel>>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
addAll(GenericCounter<E>) - Method in class edu.stanford.nlp.stats.Counter
Adds the counts in the given Counter to the counts in this Counter.
addAll(Collection<E>) - Method in class edu.stanford.nlp.stats.Counter
Calls incrementCount(key) on each key in the given collection.
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(Collection<? extends E>) - Method in class edu.stanford.nlp.util.Index
Adds every member of Collection to the Index.
addingSingletonEntity(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
addInPlace(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
Shifts the values in this array by b.
addInPlace(float[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
Shifts the values in this array by b.
addKnownLowerCaseWords(Collection) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
 
addLabel(Object) - Method in class edu.stanford.nlp.ling.BasicDocument
Adds the given label to the List of labels for this Document if it is not null.
addProcessedData(List, 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.
after() - Method in class edu.stanford.nlp.ling.AbstractMapLabel
Return the String after the word, which is stored in the map under the key AFTER_KEY.
after() - Method in class edu.stanford.nlp.ling.FeatureLabel
Return the String after the word, which is stored in the map under the key AFTER_KEY.
after() - Method in interface edu.stanford.nlp.ling.HasContext
Return the String after the word.
AFTER_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
the standard key for the String that comes after this word (from the InvertiblePTBTokenizer)
AFTER_KEY - Static variable in class edu.stanford.nlp.process.InvertiblePTBTokenizer
 
allLabels(int, Index) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
altAnswerFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
Americanize - Class in edu.stanford.nlp.process
Takes a HasWord or String and returns a lowercase 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.
annealingRate - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
annealingType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
answer() - Method in class edu.stanford.nlp.ling.AbstractMapLabel
convenience method for getting answer *
answer() - Method in class edu.stanford.nlp.ling.FeatureLabel
convenience method for getting answer *
ANSWER_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
The standard key for the answer which is a String
answerFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
appendAfter(String) - Method in class edu.stanford.nlp.ling.AbstractMapLabel
Append this String to the current after String
appendAfter(String) - Method in class edu.stanford.nlp.ling.FeatureLabel
Append this String to the current after String
appendAfter(String) - Method in interface edu.stanford.nlp.ling.HasContext
Append this String to the current after String
appendingEntity(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
apply(Object) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Maps a String input to an XML-formatted rendition of applying NER to the String.
apply(Object) - Method in class edu.stanford.nlp.objectbank.IdentityFunction
 
apply(Object) - Method in class edu.stanford.nlp.process.Americanize
Americanize the HasWord or String coming in.
apply(T1) - Method in interface edu.stanford.nlp.process.Function
Converts a T1 to a different T2.
ARG_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
The standard key for a propbank label which is of type Argument
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(Comparator<E>) - Method in class edu.stanford.nlp.stats.Counter
Finds and returns the key in this Counter with the largest count.
argmax() - Method in class edu.stanford.nlp.stats.Counter
Finds and returns the key in this Counter with the largest count.
argmax(Comparator) - 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.
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(Comparator<E>) - Method in class edu.stanford.nlp.stats.Counter
Finds and returns the key in this Counter with the smallest count.
argmin() - Method in class edu.stanford.nlp.stats.Counter
Finds and returns the key in this Counter with the smallest count.
argmin(Comparator) - 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) - Static method in class edu.stanford.nlp.util.StringUtils
Analagous to StringUtils.argsToMap(java.lang.String[]).
ARRAY_LIST_FACTORY - Static variable in class edu.stanford.nlp.util.CollectionFactory
 
ARRAY_MAP_FACTORY - Static variable in class edu.stanford.nlp.util.MapFactory
 
ArrayHeap<E> - Class in edu.stanford.nlp.util
Implements a heap as an ArrayList.
ArrayHeap(Comparator) - Constructor for class edu.stanford.nlp.util.ArrayHeap
The objects added will be ordered using the Comparator.
ArrayHeap(Comparator, int) - Constructor for class edu.stanford.nlp.util.ArrayHeap
 
ArrayMap<K,V> - Class in edu.stanford.nlp.util
ArrayMap: A map that is 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
 
ArrayMath - Class in edu.stanford.nlp.math
Class ArrayMath
ArrayMath() - Constructor for class edu.stanford.nlp.math.ArrayMath
 
ArrayUtils - Class in edu.stanford.nlp.util
Static utility methods for operating on arrays.
ArrayUtils() - Constructor for class edu.stanford.nlp.util.ArrayUtils
Should not be instantiated
asBinaryHeapPriorityQueue() - Method in class edu.stanford.nlp.stats.Counter
Builds a priority queue whose elements are the counter's elements, and whose priorities are those elements' counts in the counter.
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
 
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.BasicDocument
Returns this (the features are the list of words).
asFeatures() - Method in interface edu.stanford.nlp.ling.Featurizable
returns Object as a Collection of its features
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.
asPriorityQueue() - Method in class edu.stanford.nlp.stats.Counter
Builds a priority queue whose elements are the counter's elements, and whose priorities are those elements' counts in the counter.
asSet(T[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
Return a set containing the same elements as the specified array.
asSet(Object[]) - 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
 
average(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
average(GenericCounter<E>, GenericCounter<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.Counter
Returns the mean of all the counts (totalCount/size).
averageCount() - Method in class edu.stanford.nlp.stats.IntCounter
Returns the mean of all the counts (totalCount/size).

B

backgroundIndex() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
backgroundSymbol() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
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.sequences.SeqClassifierFlags
 
baseTestDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
baseTrainDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
BasicDocument - Class in edu.stanford.nlp.ling
Basic implementation of Document that should be suitable for most needs.
BasicDocument() - Constructor for class edu.stanford.nlp.ling.BasicDocument
Constructs a new (empty) BasicDocument using a PTBTokenizer.
BasicDocument(TokenizerFactory) - Constructor for class edu.stanford.nlp.ling.BasicDocument
Constructs a new (empty) BasicDocument using the given tokenizer.
BasicDocument(Document) - Constructor for class edu.stanford.nlp.ling.BasicDocument
 
BasicDocument(Collection) - Constructor for class edu.stanford.nlp.ling.BasicDocument
 
Beam - 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) - 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.AbstractMapLabel
Return the String before the word, which is stored in the map under the key BEFORE_KEY.
before() - Method in class edu.stanford.nlp.ling.FeatureLabel
Return the String before the word, which is stored in the map under the key BEFORE_KEY.
before() - Method in interface edu.stanford.nlp.ling.HasContext
 
BEFORE_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
the standard key for the String that comes before this word (from the InvertiblePTBTokenizer)
BEFORE_KEY - Static variable in class edu.stanford.nlp.process.InvertiblePTBTokenizer
 
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.
BinaryHeapPriorityQueue<E> - Class in edu.stanford.nlp.util
PriorityQueue with explicit double priority values.
BinaryHeapPriorityQueue() - Constructor for class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
BinaryHeapPriorityQueue(MapFactory) - 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 class edu.stanford.nlp.ling.BasicDocument
Returns a new empty BasicDocument with the same title, labels, and tokenizer as this Document.
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.
blockTags - Static variable in class edu.stanford.nlp.process.StripTagsProcessor
Block-level HTML tags that are rendered with surrounding line breaks.
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.
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
 
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
 
byteValue() - Method in class edu.stanford.nlp.util.MutableDouble
 
byteValue() - Method in class edu.stanford.nlp.util.MutableInteger
 

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
for Sighan bakeoff 2005, the path to the dictionary of bigrams appeared in corpus
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
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.
castToInt(double[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
category() - Method in class edu.stanford.nlp.ling.AbstractMapLabel
Return the category of the label (or null if none), which is stored in the map under the key CATEGORY_KEY.
category() - Method in interface edu.stanford.nlp.ling.HasCategory
Return the category value of the label (or null if none).
CATEGORY_FUNCTIONAL_TAG_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
The standard key for storing category with functional tags.
CATEGORY_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
The standard key for storing a category in the map, as a String.
CH_CHAR_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
for Chinese: character level information, segmentation
CH_ORIG_SEG_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
 
CH_SEG_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
 
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 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
 
checkFile(File) - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
checkNameList - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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.
classifierType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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
 
cleanGazette - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
clear() - Method in class edu.stanford.nlp.objectbank.ObjectBank
 
clear() - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
clear() - Method in class edu.stanford.nlp.stats.Counter
Removes all counts from this Counter.
clear() - Method in class edu.stanford.nlp.stats.IntCounter
Removes all counts from this Counter.
clear() - Method in class edu.stanford.nlp.util.ArrayHeap
Clears the heap.
clear() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Clears the queue.
clear() - Method in class edu.stanford.nlp.util.Index
Clears this 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 :-)
clearDocument() - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
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
 
clearSubstringList() - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
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
 
clone() - Method in class edu.stanford.nlp.stats.Counter
 
clone() - Method in class edu.stanford.nlp.stats.IntCounter
 
codeTable - Static variable in class edu.stanford.nlp.maxent.Convert
 
CollectionFactory - Class in edu.stanford.nlp.util
Factory for vending Collections.
CollectionFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory
 
CollectionFactory.ArrayListFactory - Class in edu.stanford.nlp.util
 
CollectionFactory.ArrayListFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory.ArrayListFactory
 
CollectionFactory.HashSetFactory - Class in edu.stanford.nlp.util
 
CollectionFactory.HashSetFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory.HashSetFactory
 
CollectionUtils - Class in edu.stanford.nlp.util
Collection of useful static methods for working with Collections.
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.
ColumnDocumentReaderAndWriter - Class in edu.stanford.nlp.sequences
DocumentReader for column format
ColumnDocumentReaderAndWriter() - Constructor for class edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
 
comboProps - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
comparator(boolean) - Method in class edu.stanford.nlp.stats.Counter
Returns a comparator suitable for sorting this Counter's keys or entries by their respective counts.
comparator(boolean, boolean) - Method in class edu.stanford.nlp.stats.Counter
Returns a comparator suitable for sorting this Counter's keys or entries by their respective value or magnitude (unsigned value).
comparator() - Method in class edu.stanford.nlp.stats.Counter
Comparator that sorts objects by (increasing) count.
comparator() - Method in interface edu.stanford.nlp.stats.GenericCounter
Returns a comparator
comparator(boolean) - Method in class edu.stanford.nlp.stats.IntCounter
Returns a comparator suitable for sorting this Counter's keys or entries by their respective counts.
comparator(boolean, boolean) - Method in class edu.stanford.nlp.stats.IntCounter
Returns a comparator suitable for sorting this Counter's keys or entries by their respective value or magnitude (unsigned value).
comparator() - Method in class edu.stanford.nlp.stats.IntCounter
Comparator that sorts objects by (increasing) count.
compare(Object, Object) - Method in class edu.stanford.nlp.util.EntryValueComparator
Compares the values of the two given Map.Entry objects in the given order.
compare(Object, Object) - Method in class edu.stanford.nlp.util.ScoredComparator
 
compareTo(ValueLabel) - Method in class edu.stanford.nlp.ling.ValueLabel
Orders by value()'s lexicographic ordering.
compareTo(MutableDouble) - Method in class edu.stanford.nlp.util.MutableDouble
Compares two MutableDouble objects numerically.
compareTo(Object) - Method in class edu.stanford.nlp.util.MutableDouble
Compares this MutableDouble object to another object.
compareTo(MutableInteger) - Method in class edu.stanford.nlp.util.MutableInteger
Compares two MutableInteger objects numerically.
compareTo(Object) - Method in class edu.stanford.nlp.util.MutableInteger
Compares this MutableInteger object to another object.
compareTo(Object) - Method in class edu.stanford.nlp.util.Pair
Compares this Pair to another object.
concat(IntTuple, IntTuple) - Static method in class edu.stanford.nlp.util.IntTuple
 
conditionalize(List) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
returns a GeneralizedCounter conditioned on the objects in the List argument.
conditionalizeOnce(Object) - 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
 
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
 
conjoinShapeNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
CoNLLDocumentReaderAndWriter - Class in edu.stanford.nlp.sequences
DocumentReader for CoNLL 03 format.
CoNLLDocumentReaderAndWriter() - Constructor for class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
 
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<FeatureLabel>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
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.Index
Checks whether an Object already has an index in the Index
containsAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ObjectBank
Can be slow.
containsAll(Collection) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
containsInSubarray(int[], int, int, int) - Static method in class edu.stanford.nlp.math.ArrayMath
 
containsKey(E) - Method in class edu.stanford.nlp.stats.Counter
 
containsKey(List) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Like Counter, this currently returns true if the count is explicitly 0.0 for something
containsKey(E) - Method in interface edu.stanford.nlp.stats.GenericCounter
 
containsKey(E) - Method in class edu.stanford.nlp.stats.IntCounter
 
containsKey(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
containsNaN() - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
containsNaN() - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
containsObject(Collection, Object) - Static method in class edu.stanford.nlp.util.CollectionUtils
Checks whether a Collection contains a specified Object.
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.
Convert() - Constructor for class edu.stanford.nlp.maxent.Convert
 
CoolingSchedule - Class in edu.stanford.nlp.sequences
 
CoolingSchedule() - Constructor for class edu.stanford.nlp.sequences.CoolingSchedule
 
copy(float[], float[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
 
copy(double[], double[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
copy(int[]) - Static method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
 
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
 
cosine(GenericCounter<E>, GenericCounter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
Counter<E> - Class in edu.stanford.nlp.stats
A specialized kind of hash table (or map) for storing numeric counts for objects.
Counter() - Constructor for class edu.stanford.nlp.stats.Counter
Constructs a new (empty) Counter.
Counter(MapFactory) - Constructor for class edu.stanford.nlp.stats.Counter
Pass in a MapFactory and the map it vends will back your counter.
Counter(GenericCounter<E>) - Constructor for class edu.stanford.nlp.stats.Counter
Constructs a new Counter with the contents of the given Counter.
Counter(Collection<E>) - Constructor for class edu.stanford.nlp.stats.Counter
Constructs a new Counter by counting the elements in the given Collection.
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 Counter.
countInfinite(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
countNaN(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
createCounterFromCollection(Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
createCounterFromList(List<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
CRFClassifier - Class in edu.stanford.nlp.ie.crf
Does 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.TestSequenceModel - Class in edu.stanford.nlp.ie.crf
 
CRFClassifier.TestSequenceModel(CRFCliqueTree) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifier.TestSequenceModel
 
CRFCliqueTree - Class in edu.stanford.nlp.ie.crf
Builds a CliqueTree (an array of FactorTable) and does message passing inference along it.
CRFDatum - Class in edu.stanford.nlp.ie.crf
 
CRFDatum(List, Object) - Constructor for class edu.stanford.nlp.ie.crf.CRFDatum
 
CRFDatum(List) - Constructor for class edu.stanford.nlp.ie.crf.CRFDatum
Constructs a new BasicDatum with the given features and no labels.
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
 
crfType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
cross(Set, Set) - Static method in class edu.stanford.nlp.util.Sets
returns the set cross product of s1 and s2, as Pairs
crossEntropy(GenericCounter<E>, GenericCounter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Note that this implementation doesn't normalize the "from" Counter.
crossEntropy(GenericCounter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Note that this implementation doesn't normalize the "from" Counter.
current() - Method in class edu.stanford.nlp.ling.AbstractMapLabel
Return the String which is the unmangled word, which is stored in the map under the key CURRENT_KEY.
current() - Method in class edu.stanford.nlp.ling.FeatureLabel
Return the String which is the unmangled word, which is stored in the map under the key CURRENT_KEY.
current() - Method in interface edu.stanford.nlp.ling.HasContext
Return the String which is the unmangled word.
CURRENT_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
the standard key for the actual, unmangled, pre-PTB'd word (from the InvertiblePTBTokenizer)
CURRENT_KEY - Static variable in class edu.stanford.nlp.process.InvertiblePTBTokenizer
 
cutDocument() - Method in class edu.stanford.nlp.ie.crf.NERGUI
 

D

Datum - Interface in edu.stanford.nlp.ling
Interface for Objects which can be described by their features.
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.
decrementCount(E, double) - Method in class edu.stanford.nlp.stats.Counter
Subtracts the given count from the current count for the given key.
decrementCount(E) - Method in class edu.stanford.nlp.stats.Counter
Subtracts 1.0 from the count for the given key.
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.
decrementCounts(Collection<E>, double) - Method in class edu.stanford.nlp.stats.Counter
Subtracts the given count from the current counts for each of the given keys.
decrementCounts(Collection<E>) - Method in class edu.stanford.nlp.stats.Counter
Subtracts 1.0 from the counts of each of the given keys.
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(MapFactory) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
deepCopy() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
DEFAULT_CLASSIFIER - Static variable in class edu.stanford.nlp.ie.crf.CRFClassifier
 
dehyphenateNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
deleteBlankLines - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
DelimitRegExIterator - Class in edu.stanford.nlp.objectbank
An Iterator that reads the contents of a buffer, delimited by the specified delimiter, and then be subsequently processed by an Function to produce Objects.
DelimitRegExIterator(Reader, String) - Constructor for class edu.stanford.nlp.objectbank.DelimitRegExIterator
 
DelimitRegExIterator(Reader, String, Function) - Constructor for class edu.stanford.nlp.objectbank.DelimitRegExIterator
 
DelimitRegExIterator.DelimitRegExIteratorFactory - Class in edu.stanford.nlp.objectbank
 
DelimitRegExIterator.DelimitRegExIteratorFactory(String) - Constructor for class edu.stanford.nlp.objectbank.DelimitRegExIterator.DelimitRegExIteratorFactory
 
DelimitRegExIterator.DelimitRegExIteratorFactory(String, boolean) - Constructor for class edu.stanford.nlp.objectbank.DelimitRegExIterator.DelimitRegExIteratorFactory
 
DelimitRegExIterator.DelimitRegExIteratorFactory(String, Function) - Constructor for class edu.stanford.nlp.objectbank.DelimitRegExIterator.DelimitRegExIteratorFactory
 
DelimitRegExIterator.DelimitRegExIteratorFactory(String, Function, boolean) - Constructor for class edu.stanford.nlp.objectbank.DelimitRegExIterator.DelimitRegExIteratorFactory
 
depth() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Returns the depth of the GeneralizedCounter (i.e., the dimension of the distribution).
derivative - Variable in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
 
derivative - Variable in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
derivativeAt(float[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
 
derivativeAt(double[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
derivativeAt(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.
DESCENDING_COMPARATOR - Static variable in class edu.stanford.nlp.util.ScoredComparator
 
deserializeCounter(String) - Static method in class edu.stanford.nlp.stats.Counters
 
deserializeReadable(String) - Static method in class edu.stanford.nlp.util.Index
 
devFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
diff(Set, Set) - Static method in class edu.stanford.nlp.util.Sets
set difference s1 - 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.
disjunctionWidth - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
displayError(String, String) - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
distSimLexicon - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
divideBy(FactorTable) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
divideBy(FloatFactorTable) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
divideBy(double) - Method in class edu.stanford.nlp.stats.Counter
Divides every count by the given divisor.
divideBy(Counter<E>) - Method in class edu.stanford.nlp.stats.Counter
Divides every non-zero count by the count for the corresponding key in the argument Counter.
division(GenericCounter<E>, GenericCounter<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
 
Document - Interface in edu.stanford.nlp.ling
Represents a text document as a list of Words with a title.
DocumentReader - Class in edu.stanford.nlp.ling
Basic mechanism for reading in Documents from various input sources.
DocumentReader() - Constructor for class edu.stanford.nlp.ling.DocumentReader
Constructs a new DocumentReader without an initial input source.
DocumentReader(Reader) - Constructor for class edu.stanford.nlp.ling.DocumentReader
Constructs a new DocumentReader using a PTBTokenizerFactory and keeps the original text.
DocumentReader(Reader, TokenizerFactory, boolean) - Constructor for class edu.stanford.nlp.ling.DocumentReader
Constructs a new DocumentReader that will read text from the given Reader and tokenize it into words using the given Tokenizer.
documentReader - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
DocumentReaderAndWriter - Interface in edu.stanford.nlp.sequences
This interface is used for reading data and writing output into and out of SequenceClassifiers.
documentsToDataAndLabels(ObjectBank<List<FeatureLabel>>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Convert an ObjectBank to arrays of data features and labels.
documentToDataAndLabels(List<FeatureLabel>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Convert a document List into arrays storing the data features and labels.
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.
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
 
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.
DONT_CAPITALIZE_TIMEX - Static variable in class edu.stanford.nlp.process.Americanize
 
dontExtendTaggy - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
dotProduct(GenericCounter<E>, GenericCounter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns the product of c1 and c2.
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.Counter
 
doubleMax() - Method in interface edu.stanford.nlp.stats.GenericCounter
Returns the value of the maximum entry in this counter, as a double.
doubleMax() - Method in class edu.stanford.nlp.stats.IntCounter
 
doubleValue() - Method in class edu.stanford.nlp.util.MutableDouble
 
doubleValue() - Method in class edu.stanford.nlp.util.MutableInteger
 
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 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
dump() - Method in class edu.stanford.nlp.util.ArrayHeap
 

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.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.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
Classes for linguistic concepts which are common to many NLP classes, such as Word, Tag, etc.
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.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.
edu.stanford.nlp.stats - package edu.stanford.nlp.stats
A set of tools for collecting, representing, and inferring with statistics.
edu.stanford.nlp.util - package edu.stanford.nlp.util
A collection of useful general-purpose utility classes.
elements - Variable in class edu.stanford.nlp.util.Beam
 
elems() - Method in class edu.stanford.nlp.util.IntTuple
 
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
 
EMPTYSTRING - Static variable in class edu.stanford.nlp.ling.Word
String representation of an empty.
END_POSITION_KEY - Static variable in class edu.stanford.nlp.process.InvertiblePTBTokenizer
 
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.
endFold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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).
EntityCachingAbstractSequencePrior - 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, List<FeatureLabel>) - Constructor for class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
entitySubclassification - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
entropy(GenericCounter<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.Counter
 
entrySet() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
returns the set of entries, where each key is a read-only List of size equal to the depth of the GeneralizedCounter, and each value is a Double.
entrySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
entrySet() - Method in class edu.stanford.nlp.util.ArrayMap
 
EntryValueComparator - Class in edu.stanford.nlp.util
Comparator designed for the values of Map entries.
EntryValueComparator() - Constructor for class edu.stanford.nlp.util.EntryValueComparator
Constructs a new EntryValueComparator using ascending (normal) order that works on Map.Entry objects.
EntryValueComparator(boolean) - Constructor for class edu.stanford.nlp.util.EntryValueComparator
Constructs a new EntryValueComparator that will sort in the given order and works on Map.Entry objects.
EntryValueComparator(Map) - Constructor for class edu.stanford.nlp.util.EntryValueComparator
Constructs a new EntryValueComparator that will sort keys for the given Map in ascending (normal) order.
EntryValueComparator(Map, boolean) - Constructor for class edu.stanford.nlp.util.EntryValueComparator
Constructs a new EmptyValueComparator to sort keys or entries of the given map in the given order.
EntryValueComparator(Map, boolean, boolean) - Constructor for class edu.stanford.nlp.util.EntryValueComparator
Constructs a new EmptyValueComparator to sort keys or entries of the given map in the given order.
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.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.ling.FeatureLabel
 
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.stats.Counter
 
equals(Object) - Method in class edu.stanford.nlp.stats.IntCounter
 
equals(Object) - Method in class edu.stanford.nlp.util.ArrayMap
 
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.IntTuple
 
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
 
escapeString(String, char[], char) - Static method in class edu.stanford.nlp.util.StringUtils
 
escapeStringForXML(String) - Static method in class edu.stanford.nlp.util.XMLUtils
Returns a String in which all of the special characters of XML have been escaped.
escapeTextAroundXMLTags(String) - Static method in class edu.stanford.nlp.util.XMLUtils
 
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(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
exp(Counter<T>) - Static method in class edu.stanford.nlp.stats.Counters
 
expInPlace(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
extractDatumSequence(int[][][], int, int, List) - 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.

F

FactoredSequenceListener - Class in edu.stanford.nlp.sequences
 
FactoredSequenceListener(SequenceListener, SequenceListener) - Constructor for class edu.stanford.nlp.sequences.FactoredSequenceListener
 
FactoredSequenceModel - Class in edu.stanford.nlp.sequences
 
FactoredSequenceModel(SequenceModel, SequenceModel) - Constructor for class edu.stanford.nlp.sequences.FactoredSequenceModel
 
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.FeatureLabel
 
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.process.InvertiblePTBTokenizer
 
factory(boolean) - Static method in class edu.stanford.nlp.process.InvertiblePTBTokenizer
 
factory() - Static method in class edu.stanford.nlp.process.PTBTokenizer
 
factory(boolean, LexedTokenFactory) - Static method in class edu.stanford.nlp.process.PTBTokenizer
 
factory - Variable in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
 
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 - 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
 
FeatureLabel - Class in edu.stanford.nlp.ling
An AbstractMapLabel implementation which defines equality as equality of the internal map.
FeatureLabel() - Constructor for class edu.stanford.nlp.ling.FeatureLabel
 
FeatureLabel(MapFactory) - Constructor for class edu.stanford.nlp.ling.FeatureLabel
 
FeatureLabel(String[], String[]) - Constructor for class edu.stanford.nlp.ling.FeatureLabel
 
FeatureLabel(AbstractMapLabel) - Constructor for class edu.stanford.nlp.ling.FeatureLabel
Copy constructor.
FeatureLabel(Map) - Constructor for class edu.stanford.nlp.ling.FeatureLabel
Copy constructor.
FeatureLabelTokenFactory - Class in edu.stanford.nlp.process
 
FeatureLabelTokenFactory() - Constructor for class edu.stanford.nlp.process.FeatureLabelTokenFactory
 
features - Variable in class edu.stanford.nlp.ling.FeatureLabel
 
FEATURES_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
The standard key for the features which is a Collection
featuresC(PaddedList<FeatureLabel>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCnC(PaddedList<FeatureLabel>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCp2C(PaddedList<FeatureLabel>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCp3C(PaddedList<FeatureLabel>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCp4C(PaddedList<FeatureLabel>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCp5C(PaddedList<FeatureLabel>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCpC(PaddedList<FeatureLabel>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCpCnC(PaddedList<FeatureLabel>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCpCp2C(PaddedList<FeatureLabel>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCpCp2Cp3C(PaddedList<FeatureLabel>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCpCp2Cp3Cp4C(PaddedList<FeatureLabel>, 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 - 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
 
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.
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.
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
 
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.
first - Variable in class edu.stanford.nlp.util.Pair
Direct access is deprecated.
first() - Method in class edu.stanford.nlp.util.Pair
 
firstKeySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
firstNToString(int) - Method in class edu.stanford.nlp.util.Index
 
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(double[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
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.util.MutableDouble
 
floatValue() - Method in class edu.stanford.nlp.util.MutableInteger
 
Function - Interface in edu.stanford.nlp.optimization
An interface for double-valued functions over double arrays.
Function<T1,T2> - Interface in edu.stanford.nlp.process
An interface for classes that act as a function transforming one object to another.

G

GAZETTEER_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
The standard key for the gazetteer information
gazettes - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
gazFilesFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
GeneralizedCounter - 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
GenericCounter<E> - Interface in edu.stanford.nlp.stats
Interface to a generic (type-independent) Counter.
get(Object) - Method in class edu.stanford.nlp.ling.AbstractMapLabel
Returns the value to which the map contained in this label maps the specified key.
get(Object) - Method in class edu.stanford.nlp.util.ArrayMap
 
get(int) - Method in class 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
 
getAnswers(List<FeatureLabel>) - Static method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
 
getAnswersInlineXML(List<FeatureLabel>) - Static method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
 
getAnswersXML(List<FeatureLabel>) - Static method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
 
getBoolean(List, int) - Static method in class edu.stanford.nlp.util.CollectionUtils
Returns ((Boolean)list.get(index)).booleanValue().
getBoolean(Map, Object) - Static method in class edu.stanford.nlp.util.CollectionUtils
Returns ((Boolean)map.get(key)).booleanValue().
getBufferedReader(Reader) - Static method in class edu.stanford.nlp.ling.DocumentReader
Wraps the given Reader in a BufferedReader or returns it directly if it is already a BufferedReader.
getCalibratedCliqueTree(double[][], 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
 
getClassifier(File) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
getClassifier(String) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
getClassifier(InputStream) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
getClassifierNoExceptions(File) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
getClassifierNoExceptions(String) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
getClassifierNoExceptions(InputStream) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
getCliqueFeatures(PaddedList<FeatureLabel>, int, Clique) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
Extracts all the features from the input data at a certain index.
getCliqueFeatures(PaddedList<FeatureLabel>, 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
 
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
 
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
 
getCount(E) - Method in class edu.stanford.nlp.stats.Counter
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(Object, Object) - 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(Object, Object, Object) - 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(E) - Method in interface edu.stanford.nlp.stats.GenericCounter
Returns the count for this key as a double.
getCount(E) - 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.Counter
 
getCountAsString(E) - Method in interface edu.stanford.nlp.stats.GenericCounter
Returns the count for this key as a String.
getCountAsString(E) - Method in class edu.stanford.nlp.stats.IntCounter
 
getCountCounts(GenericCounter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
getCounter(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
getCounts(List) - 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.
getDefaultClassifier() - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
Used to get the default supplied classifier.
getDouble(List, int) - Static method in class edu.stanford.nlp.util.CollectionUtils
Returns (Double)list.get(index).
getdouble(List, int) - Static method in class edu.stanford.nlp.util.CollectionUtils
Returns ((Double)list.get(index)).doubleValue().
getDouble(Map, Object) - Static method in class edu.stanford.nlp.util.CollectionUtils
Returns (Double)map.get(key).
getdouble(Map, Object) - Static method in class edu.stanford.nlp.util.CollectionUtils
Returns ((Double)map.get(key)).doubleValue().
getEncoding() - Static method in class edu.stanford.nlp.maxent.Convert
 
getExponentialSchedule(double, double, int) - Static method in class edu.stanford.nlp.sequences.CoolingSchedule
 
getFactory(String) - 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, then returns the result.
getFactory(String, boolean) - 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, then returns the result.
getFactory(String, Function) - 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(String, Function, boolean) - 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(String) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
Returns a factory that vends BeginEndIterators that reads the contents of the given Reader, extracts text between the specified Strings, then returns the result.
getFactory(String, boolean, boolean) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
getFactory(String, Function) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
getFactory(String, Function, boolean, boolean) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
getFeatures() - Method in class edu.stanford.nlp.ling.AbstractMapLabel
 
getFile(boolean) - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
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 interface edu.stanford.nlp.util.PriorityQueue
Finds the object with the highest priority and returns it, without modifying the queue.
getFloatFactorTable(float[][], int[][], Index[], int) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
getGlobal() - Static method in class edu.stanford.nlp.util.Interner
For getting the instance that global methods use.
getHasWord(int) - Method in class edu.stanford.nlp.ling.Sentence
Return the Word at the given index.
getIndex(List, Object) - 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.
getInt(List, int) - Static method in class edu.stanford.nlp.util.CollectionUtils
Returns ((Integer)list.get(index)).intValue().
getInt(Map, Object) - Static method in class edu.stanford.nlp.util.CollectionUtils
Returns ((Integer)map.get(key)).intValue().
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.
getInteger(List, int) - Static method in class edu.stanford.nlp.util.CollectionUtils
Returns (Integer)list.get(index).
getInteger(Map, Object) - Static method in class edu.stanford.nlp.util.CollectionUtils
Returns (Integer)map.get(key).
getIntTuple(int) - Static method in class edu.stanford.nlp.util.IntTuple
 
getIntTuple(ArrayList) - 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
 
getIterator(Reader) - Method in class edu.stanford.nlp.process.InvertiblePTBTokenizer.InvertiblePTBTokenizerFactory
 
getIterator(Reader) - Method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
 
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.sequences.TrueCasingDocumentReaderAndWriter
 
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.
getKeepOriginalText() - Method in class edu.stanford.nlp.ling.DocumentReader
Returns whether created documents will store their source text along with tokenized words.
getKnownLowerCaseWords() - Static method in class edu.stanford.nlp.process.WordShapeClassifier
 
getLabel() - Method in class edu.stanford.nlp.ie.crf.CRFLabel
 
getLemma() - Method in class edu.stanford.nlp.ling.AbstractMapLabel
 
getLinearSchedule(double, int) - Static method in class edu.stanford.nlp.sequences.CoolingSchedule
 
getMapFactory() - Method in class edu.stanford.nlp.stats.Counter
 
getMapFactory() - Method in interface edu.stanford.nlp.stats.GenericCounter
Returns the MapFactory used by this counter.
getMapFactory() - Method in class edu.stanford.nlp.stats.IntCounter
 
getMapFactory() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
getMapFromString(String, Class, Class, MapFactory) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
getMarkLineBreaks() - Method in class edu.stanford.nlp.process.StripTagsProcessor
Retruns whether the output of the processor will contain newline words ("\n") at the end of block-level tags.
getMiddle() - Method in class edu.stanford.nlp.util.IntQuadruple
 
getMiddle() - Method in class edu.stanford.nlp.util.IntTriple
 
getNColors(int) - Static method in class edu.stanford.nlp.ie.crf.NERGUI
 
getNext() - Method in class edu.stanford.nlp.process.AbstractTokenizer
Internally fetches the next token.
getNext() - Method in class edu.stanford.nlp.process.InvertiblePTBTokenizer
Internally fetches the next token.
getNext() - Method in class edu.stanford.nlp.process.PTBTokenizer
Internally fetches the next token.
getNormalizedCount(E) - Method in class edu.stanford.nlp.stats.Counter
Return the proportion of the Counter mass under this key.
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.
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
 
getObject(E) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Searches for the object in the queue and returns it.
getOneSmallerLabel() - Method in class edu.stanford.nlp.ie.crf.CRFLabel
 
getPad() - Method in class edu.stanford.nlp.util.PaddedList
 
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.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;
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() - 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.
getRandomSequence(SequenceModel) - Static method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
 
getReader() - Method in class edu.stanford.nlp.ling.DocumentReader
Returns the reader for the text input source of this DocumentReader.
getReader(String) - Static method in class edu.stanford.nlp.ling.DocumentReader
Returns a Reader that reads in the given text.
getReader(File) - Static method in class edu.stanford.nlp.ling.DocumentReader
Returns a Reader that reads in the given file.
getReader(URL) - Static method in class edu.stanford.nlp.ling.DocumentReader
Returns a Reader that reads in the given URL.
getReader(InputStream) - Static method in class edu.stanford.nlp.ling.DocumentReader
Returns a Reader that reads in the given InputStream.
getReader(Object) - Static method in class edu.stanford.nlp.ling.DocumentReader
Intelligently returns a Reader for a variety of input sources.
getRole() - Method in class edu.stanford.nlp.ling.AbstractMapLabel
 
getSampler(List<FeatureLabel>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
getSemanticTag() - Method in class edu.stanford.nlp.ling.AbstractMapLabel
Returns the semantic head pos of the phrase if it exists, and null otherwise
getSemanticWord() - Method in class edu.stanford.nlp.ling.AbstractMapLabel
Returns the semantic head of the phrase if it exists, and null otherwise
getSequenceModel(List<FeatureLabel>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
getSequenceModel(List<FeatureLabel>) - 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.
getSmallerLabel(int) - Method in class edu.stanford.nlp.ie.crf.CRFLabel
 
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
 
getString(Object) - Method in class edu.stanford.nlp.ling.FeatureLabel
Return the String value of the FeatureLabel for an arbitrary key.
getString(List, int) - Static method in class edu.stanford.nlp.util.CollectionUtils
Returns (String)list.get(index).
getString(Map, Object) - Static method in class edu.stanford.nlp.util.CollectionUtils
Returns (String)map.get(key).
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
 
getTokenizer(Reader) - Method in interface edu.stanford.nlp.objectbank.TokenizerFactory
 
getTokenizer(Reader) - Method in class edu.stanford.nlp.process.InvertiblePTBTokenizer.InvertiblePTBTokenizerFactory
 
getTokenizer(Reader) - Method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
 
getTokenizerFactory() - Method in class edu.stanford.nlp.ling.DocumentReader
Returns the tokenizer used to chop up text into words for the documents.
getURL() - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
getValue(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
getValue(int[]) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
globalIntern(Object) - Static method in class edu.stanford.nlp.util.Interner
Returns a unique object o' that .equals the argument o.
goldAnswer() - Method in class edu.stanford.nlp.ling.AbstractMapLabel
convenience method for getting gold answer *
goldAnswer() - Method in class edu.stanford.nlp.ling.FeatureLabel
convenience method for getting gold answer *
GOLDANSWER_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
The standard key for gold answer which is a String
greekifyNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 

H

HasCategory - Interface in edu.stanford.nlp.ling
Something that implements the HasCategory interface knows about categories.
HasContext - Interface in edu.stanford.nlp.ling
 
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
 
hashCode() - Method in class edu.stanford.nlp.ie.crf.CRFLabel
 
hashCode() - Method in class edu.stanford.nlp.ling.FeatureLabel
 
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.sequences.Clique
 
hashCode() - Method in class edu.stanford.nlp.stats.Counter
 
hashCode() - Method in class edu.stanford.nlp.stats.IntCounter
 
hashCode() - Method in class edu.stanford.nlp.util.ArrayMap
 
hashCode() - Method in class edu.stanford.nlp.util.IntPair
 
hashCode() - Method in class edu.stanford.nlp.util.IntQuadruple
 
hashCode() - Method in class edu.stanford.nlp.util.IntTriple
 
hashCode() - Method in class edu.stanford.nlp.util.IntTuple
 
hashCode() - Method in class edu.stanford.nlp.util.IntUni
 
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().
hashCodeCache - Variable in class edu.stanford.nlp.util.ArrayMap
 
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.
hasNaN(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
hasNext() - Method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
 
hasNext() - Method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
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
 
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.
HEAD_TAG_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
The standard key for storing a head tag in the map as a pointer to another node.
HEAD_WORD_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
The standard key for storing a head word in the map as a pointer to another node.
headTag() - Method in class edu.stanford.nlp.ling.AbstractMapLabel
 
headWord() - Method in class edu.stanford.nlp.ling.AbstractMapLabel
Return the head word of the label (or null if none), which is stored in the map under the key HEAD_WORD_KEY.
Heap<E> - Interface in edu.stanford.nlp.util
Heap: It's the heap interface.
HUBER_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
HUBER_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
hypergeometric(int, int, int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
Find a hypergeometric distribution.

I

IDENTITY_HASH_MAP_FACTORY - Static variable in class edu.stanford.nlp.util.MapFactory
 
IdentityFunction - Class in edu.stanford.nlp.objectbank
 
IdentityFunction() - Constructor for class edu.stanford.nlp.objectbank.IdentityFunction
 
ifrf - Variable in class edu.stanford.nlp.objectbank.ObjectBank
 
in - Variable in class edu.stanford.nlp.ling.DocumentReader
Reader used to read in document text.
incrementAll(double) - Method in class edu.stanford.nlp.stats.Counter
Adds the same amount to every count, that is to every key currently stored in the counter (with no lookups).
incrementCount(E, double) - Method in class edu.stanford.nlp.stats.Counter
Adds the given count to the current count for the given key.
incrementCount(E) - Method in class edu.stanford.nlp.stats.Counter
Adds 1.0 to the count for the given key.
incrementCount(List, Object) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
equivalent to incrementCount(l,o,1.0).
incrementCount(List, Object, 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) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Equivalent to incrementCount(l, 1.0).
incrementCount(List, 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(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
incrementCount(K1, K2, double) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
incrementCount(Map, Object, int) - Static method in class edu.stanford.nlp.util.CollectionUtils
Adds the given delta to the Integer value stored for the given key in the given Map.
incrementCount(Map, Object) - Static method in class edu.stanford.nlp.util.CollectionUtils
Increments the Integer count of the given key in the given Map by 1.
incrementCount1D(Object) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Equivalent to incrementCount1D(o, 1.0).
incrementCount1D(Object, double) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Equivalent to GeneralizedCounter.incrementCount(java.util.List, java.lang.Object)({o}, count); only works for a depth 1 GeneralizedCounter.
incrementCount2D(Object, Object) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Equivalent to incrementCount2D(first,second,1.0).
incrementCount2D(Object, Object, double) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Equivalent to incrementCount( new Object[] { first, second }, count ).
incrementCount3D(Object, Object, Object) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Equivalent to incrementCount3D(first,second,1.0).
incrementCount3D(Object, Object, Object, double) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Equivalent to incrementCount( new Object[] { first, second, third }, count ).
incrementCounts(Collection<E>, double) - Method in class edu.stanford.nlp.stats.Counter
Adds the given count to the current counts for each of the given keys.
incrementCounts(Collection<E>) - Method in class edu.stanford.nlp.stats.Counter
Adds 1.0 to the counts for each of the given keys.
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.
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.
index() - Method in class edu.stanford.nlp.ling.AbstractMapLabel
Return the index of the label (or -1 if none), which is stored in the map under the key INDEX_KEY.
Index<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 beginning (inclusively) at 0.
Index() - Constructor for class edu.stanford.nlp.util.Index
Creates a new Index.
Index(Collection<? extends E>) - Constructor for class edu.stanford.nlp.util.Index
Creates a new Index and adds every member of c to it.
INDEX_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
The standard key for storing an integer index in the map.
indexes - Variable in class edu.stanford.nlp.util.Index
 
indexOf(int, int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
indexOf(Object) - Method in class edu.stanford.nlp.util.Index
Takes an Object and returns the integer index of the Object.
indexOf(Object, boolean) - Method in class edu.stanford.nlp.util.Index
Takes an Object and returns the integer index of the Object.
indexOfRelativeIndex(int) - Method in class edu.stanford.nlp.sequences.Clique
For a particular relative index, returns which element in the Clique it is.
indices(List<E>) - Method in class edu.stanford.nlp.util.Index
Returns the index of each elem in an array.
inferenceType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
init(Properties) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
init(SeqClassifierFlags) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
init(SeqClassifierFlags) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
init(String, String, boolean) - Method in class edu.stanford.nlp.ling.BasicDocument
Inits a new BasicDocument with the given text contents and title.
init(String, String) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(text,title,true)
init(String, boolean) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(text,null,keepOriginalText)
init(String) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(text,null,true)
init() - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init((String)null,null,true)
init(Reader, String, boolean) - Method in class edu.stanford.nlp.ling.BasicDocument
Inits a new BasicDocument by reading in the text from the given Reader.
init(Reader, String) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(textReader,title,true)
init(Reader, boolean) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(textReader,null,keepOriginalText)
init(Reader) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(textReader,null,true)
init(File, String, boolean) - Method in class edu.stanford.nlp.ling.BasicDocument
Inits a new BasicDocument by reading in the text from the given File.
init(File, String) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(textFile,title,true)
init(File, boolean) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(textFile,textFile.getCanonicalPath(),keepOriginalText)
init(File) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(textFile,textFile.getCanonicalPath(),true)
init(URL, String, boolean) - Method in class edu.stanford.nlp.ling.BasicDocument
Constructs a new BasicDocument by reading in the text from the given URL.
init(URL, String) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(textURL,title,true)
init(URL, boolean) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(textURL,textFile.toExternalForm(),keepOriginalText)
init(URL) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(textURL,textURL.toExternalForm(),true)
init(List, String) - Method in class edu.stanford.nlp.ling.BasicDocument
Inits a new BasicDocument with the given list of words and title.
init(List) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(words,null)
init(SeqClassifierFlags) - 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
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) - Method in class edu.stanford.nlp.sequences.TrueCasingDocumentReaderAndWriter
 
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 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).
initialWeights - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
initViterbi - 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
 
inputEncoding - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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) - 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.sequences.SeqClassifierFlags
 
intern(Object) - 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) - Method in class edu.stanford.nlp.util.Interner
Returns a unique object o' that .equals the argument o.
internedStringPair(String, String) - Static method in class edu.stanford.nlp.util.Pair
Returns an InternedPair where the Strings have been interned.
interner - Static variable in class edu.stanford.nlp.sequences.Clique
 
Interner - 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
 
internValues(Interner) - Method in class edu.stanford.nlp.ling.FeatureLabel
Interns all of the keys and values in the underlying map of this FeatureLabel.
interpretation() - Method in class edu.stanford.nlp.ling.AbstractMapLabel
 
INTERPRETATION_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
The standard key for the semantic interpretation
intersection(GenericCounter<E>, GenericCounter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns a counter that is the intersection of c1 and c2.
intersection(Set, Set) - Static method in class edu.stanford.nlp.util.Sets
set intersection
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
 
IntTuple() - 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.util.MutableDouble
 
intValue() - Method in class edu.stanford.nlp.util.MutableInteger
 
InvertiblePTBTokenizer - Class in edu.stanford.nlp.process
Tokenizer implementation that conforms to the Penn Treebank tokenization conventions.
InvertiblePTBTokenizer(Reader) - Constructor for class edu.stanford.nlp.process.InvertiblePTBTokenizer
Constructs a new PTBTokenizer that treats carriage returns as normal whitespace.
InvertiblePTBTokenizer(Reader, boolean) - Constructor for class edu.stanford.nlp.process.InvertiblePTBTokenizer
Constructs a new PTBTokenizer.
InvertiblePTBTokenizer.InvertiblePTBTokenizerFactory - Class in edu.stanford.nlp.process
 
InvertiblePTBTokenizer.InvertiblePTBTokenizerFactory(boolean) - Constructor for class edu.stanford.nlp.process.InvertiblePTBTokenizer.InvertiblePTBTokenizerFactory
 
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.
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
 
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.Counter
 
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 interface edu.stanford.nlp.util.Heap
Returns true iff the heap is empty.
isEndTag - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
 
isLocked() - Method in class edu.stanford.nlp.util.Index
Queries the Index for whether it's locked or not.
isSingleTag - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
 
isSubList(List, List) - 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).
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.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.Counter
 
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 interface edu.stanford.nlp.util.Heap
Returns an iterator over its elements, in order.
iterator() - Method in class edu.stanford.nlp.util.Index
Returns an iterator over the elements of the collection.
IteratorFromReaderFactory<T> - Interface in edu.stanford.nlp.objectbank
A IteratorFromReaderFactory is used to convert a java.io.Reader into an Iterator over the Objects represented by the text in the java.io.Reader.

J

jaccardCoefficient(GenericCounter<E>, GenericCounter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns the Jaccard Coefficient of the two counters.
JAR_CLASSIFIER_PATH - Static variable in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
jensenShannonDivergence(GenericCounter<E>, GenericCounter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Calculates the Jensen-Shannon divergence between the two counters.
join(Iterable, String) - Static method in class edu.stanford.nlp.util.StringUtils
Joins each elem in the Collection with the given glue.
join(List, String) - Static method in class edu.stanford.nlp.util.StringUtils
Joins each elem in the List 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(List) - 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 elems with a space.
joiningTwoEntities(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
justify - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 

K

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 whitespaces words in testFile when printing out answers.
keepEnglishWhitespaces - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
Keep the whitespaces 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
 
keepOriginalText - Variable in class edu.stanford.nlp.ling.DocumentReader
Whether to keep source text in document along with tokenized words.
keysAbove(double) - Method in class edu.stanford.nlp.stats.Counter
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(double) - Method in class edu.stanford.nlp.stats.Counter
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(double) - Method in class edu.stanford.nlp.stats.Counter
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.ling.FeatureLabel
 
keySet() - Method in class edu.stanford.nlp.stats.Counter
 
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 interface edu.stanford.nlp.stats.GenericCounter
Returns the Set of keys in this counter.
keySet() - Method in class edu.stanford.nlp.stats.IntCounter
 
klDivergence(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
klDivergence(GenericCounter<E>, GenericCounter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Calculates the KL divergence between the two counters.
known(String) - Static method in class edu.stanford.nlp.sequences.TrueCasingDocumentReaderAndWriter
 
knownCliques - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
 
knownLCWords - Variable in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
knownWords - Static variable in class edu.stanford.nlp.sequences.TrueCasingDocumentReaderAndWriter
 

L

L2Normalize(GenericCounter<E>) - Static method in class edu.stanford.nlp.stats.Counters
L2 normalize a counter.
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.BasicDocument
Returns the first label for this Document, 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.
Labeled - Interface in edu.stanford.nlp.ling
Interface for Objects that have a label, whose label is an Object.
labelFactory() - Method in class edu.stanford.nlp.ling.FeatureLabel
 
labelFactory() - Method in interface edu.stanford.nlp.ling.Label
Returns a factory that makes labels of the exact same type as this one.
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).
labels() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
labels - Variable in class edu.stanford.nlp.ling.BasicDocument
Label(s) for this document.
labels() - Method in class edu.stanford.nlp.ling.BasicDocument
Returns the complete List of labels for this Document.
labels() - Method in interface edu.stanford.nlp.ling.Labeled
Returns the complete list of labels for this Object, which may be empty.
largeChSegFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
lastNameList - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
lastValue() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
LEFT_TERM_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
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
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.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.FeatureLabel
 
LEMMA_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
The standard key for storing a lemma in the map.
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.ling.Sentence
A convenience method since we normally say sentences have a length.
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 - Interface in edu.stanford.nlp.process
Constructs a token (of arbitrary type) from a String and its position in the underlying text.
linearCombination(GenericCounter<E>, double, GenericCounter<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
 
ListProcessor<IN,OUT> - Interface in edu.stanford.nlp.process
An interface for things that operate on a List.
load2DMatrixFromFile(String) - Static method in class edu.stanford.nlp.math.ArrayMath
 
loadAuxClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
loadClassifier(InputStream) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
loadClassifier(InputStream, Properties) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Load a classsifier 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(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 by loadPath.
loadClassifier(InputStream, 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(BufferedInputStream) - 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, CollectionFactory) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
loadCollection(File, Class, CollectionFactory) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
loadCounter(String, Class) - 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
 
loadDefaultClassifier() - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
This is used to load the default supplied classifier stored within the jar file.
loadIntCounter(String, Class) - Static method in class edu.stanford.nlp.stats.Counters
Loads a Counter from a text file.
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
 
loadProcessedData(String) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
loadProcessedData - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
lock() - Method in class edu.stanford.nlp.util.Index
Locks the Index.
locked - Variable in class edu.stanford.nlp.util.Index
 
log(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
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.
logIncrementCount(E, double) - Method in class edu.stanford.nlp.stats.Counter
If the current count for the object is c1, and you call logIncrementCount with a value of c2, then the new value will be log(e^c1 + e^c2).
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
 
logNormalize(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Makes the values in this array sum to 1.0.
logNormalize() - Method in class edu.stanford.nlp.stats.Counter
 
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
 
logProb(int, Object[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
logProb(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
logProb(int[]) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
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(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(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() - Method in class edu.stanford.nlp.stats.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.
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
 
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 Counter.

M

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.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.NERServer
Starts this server on the specified port.
main(String[]) - Static method in class edu.stanford.nlp.ling.BasicDocument
For internal debugging purposes only.
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.XMLBeginEndIterator
 
main(String[]) - Static method in class edu.stanford.nlp.optimization.QNMinimizer
 
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.InvertiblePTBTokenizer
Reads a file from the argument and prints its tokens one per line.
main(String[]) - Static method in class edu.stanford.nlp.process.PTBTokenizer
Reads a file from the argument and prints its tokens one per line.
main(String[]) - Static method in class edu.stanford.nlp.process.StripTagsProcessor
For internal debugging purposes only.
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.process.WordToSentenceProcessor
This will print out as sentences some text.
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.Counter
For internal debugging 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.TwoDimensionalCounter
 
main(String[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
For internal debugging purposes only
main(String[]) - Static method in class edu.stanford.nlp.util.Beam
 
main(String[]) - Static method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
main(String[]) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
main(String[]) - Static method in class edu.stanford.nlp.util.Index
 
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.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.XMLUtils
 
makeConsistent - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
makeDatum(List<FeatureLabel>, int) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
makeDatum(List<FeatureLabel>, int, FeatureFactory) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
makeHTMLTable(String[][], String[], String[]) - Static method in class edu.stanford.nlp.util.StringUtils
Returns an HTML table containing the matrix of Strings passed in.
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.
makeObjectBank(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
makeObjectBank(BufferedReader) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
makeObjectBank(BufferedReader, boolean) - 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.
makeToken(String, int, int) - Method in class edu.stanford.nlp.process.FeatureLabelTokenFactory
 
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.ling.AbstractMapLabel
The Map which stores all of the attributes for this label, and the label value itself.
map() - Method in class edu.stanford.nlp.ling.AbstractMapLabel
Return the Map contained in this label.
map() - Method in class edu.stanford.nlp.ling.FeatureLabel
 
map - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
map - Variable in class edu.stanford.nlp.util.Interner
 
mapFactory - Variable in class edu.stanford.nlp.ling.AbstractMapLabel
The MapFactory which will be used to make new Maps in this AbstractMapLabel.
MapFactory - Class in edu.stanford.nlp.util
A factory class for vending different sorts of Maps.
mapStringToArray(String) - Static method in class edu.stanford.nlp.ling.FeatureLabel
 
MARKING_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
Another key used for propbank - to signify core arg nodes or predicate nodes
matches(Entity, int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
matches(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
Say whether this regular expression matches this String.
max(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, int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
Returns the minimum of three 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() - Method in class edu.stanford.nlp.stats.Counter
Finds and returns the largest count in this Counter.
max() - Method in class edu.stanford.nlp.stats.IntCounter
Finds and returns the largest count in this Counter.
maxBeamSize - Variable in class edu.stanford.nlp.util.Beam
 
maxDocSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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
 
mean(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
memoryThrift - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
mergeTags - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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, 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() - Method in class edu.stanford.nlp.stats.Counter
Finds and returns the smallest count 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.
minimize(Function, 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(Function, double, double[], int) - Method in interface edu.stanford.nlp.optimization.Minimizer
 
minimize(Function, double, double[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
minimize(Function, double, double[], int) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
minimize(FloatFunction, float, float[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
Minimizer - Interface in edu.stanford.nlp.optimization
The interface for unconstrained function minimizers.
morphFeatureFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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.
multiplyBy(double) - Method in class edu.stanford.nlp.stats.Counter
Multiplies every count by the given multiplier.
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.
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
 
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
 

N

name - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
 
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.
ner() - Method in class edu.stanford.nlp.ling.AbstractMapLabel
Return the NER type of the word, which is stored in the map under the key NER_KEY.
ner() - Method in class edu.stanford.nlp.ling.FeatureLabel
Return the NER type of the word, which is stored in the map under the key NER_KEY.
NER_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
the standard key for the NER label.
NERFeatureFactory - 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) - Constructor for class edu.stanford.nlp.ie.NERServer
Creates a new named entity recognizer server on the specified port.
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
 
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
 
newgeneThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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.
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.
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.
next() - Method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
 
next() - Method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
next() - Method in class edu.stanford.nlp.process.AbstractTokenizer
Returns the next token from this Tokenizer.
next() - Method in 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
 
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
 
noChange(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
noMidNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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() - Method in class edu.stanford.nlp.stats.Counter
This has been de-deprecated in order to reduce compilation warnings, but really you should create a Distribution instead.
normalizeTerms - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
normalizeTimex - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
normTableEncoding - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
NOWORDSHAPE - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
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.
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
 
numDatasetsPerFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
numFolds - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
numIterations() - Method in class edu.stanford.nlp.sequences.CoolingSchedule
 
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
 
numStartLayers - 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() - 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.
ObjectBankWrapper - 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<FeatureLabel>>, Set<String>) - Constructor for class edu.stanford.nlp.sequences.ObjectBankWrapper
 
objects - Variable in class edu.stanford.nlp.util.Index
 
objects(int[]) - Method in class 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.Index
Returns a complete List of indexed objects, in the order of their indices.
ocrFold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
ocrTrain - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
oneDimensionalCounterView() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Returns a read-only synchronous view (not a snapshot) of this as a Counter.
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
 
openURL(String) - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
originalText - Variable in class edu.stanford.nlp.ling.BasicDocument
original text of this document (may be null).
originalText() - Method in class edu.stanford.nlp.ling.BasicDocument
Returns the text originally used to construct this document, or null if there was no original text.
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
 

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: A Class for holding a pair 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
 
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.
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
 
PARENT_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
The standard key for the parent which is a String
parse(String) - Method in class edu.stanford.nlp.ling.BasicDocument
Tokenizes the given text to populate the list of words this Document represents.
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.
parseDocumentText(String) - Method in class edu.stanford.nlp.ling.DocumentReader
Creates a new Document for the given text.
parseString(String) - Method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
 
parseString(String) - Method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
parseTag(String) - Static method in class edu.stanford.nlp.util.XMLUtils
 
pasteDocument() - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
peek() - Method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
 
peek() - Method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
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().
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.
perturbCounts(GenericCounter<E>, Random, double) - Static method in class edu.stanford.nlp.stats.Counters
 
PlainTextDocumentReaderAndWriter - Class in edu.stanford.nlp.sequences
 
PlainTextDocumentReaderAndWriter() - Constructor for class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
 
POLARITY_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
 
possibleValues - Variable in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
pow(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
Scales the values in this array by c.
pow(float[], float) - Static method in class edu.stanford.nlp.math.ArrayMath
Scales the values in this array by c.
pow(Counter<T>, double) - Static method in class edu.stanford.nlp.stats.Counters
 
powerSet(Set) - Static method in class edu.stanford.nlp.util.Sets
returns the powerset of a set
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.
predProp - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
prependBefore(String) - Method in class edu.stanford.nlp.ling.AbstractMapLabel
Prepend this String to the current before String
prependBefore(String) - Method in class edu.stanford.nlp.ling.FeatureLabel
Prepend this String to the current before String
prependBefore(String) - Method in interface edu.stanford.nlp.ling.HasContext
Prepend this String to the before String.
prependingEntity(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
presentableText() - Method in class edu.stanford.nlp.ling.BasicDocument
Returns a "pretty" version of the words in this Document suitable for display.
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.
print() - Method in class edu.stanford.nlp.util.IntTuple
 
printAnswers(List<FeatureLabel>, PrintWriter) - Method in class edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
 
printAnswers(List<FeatureLabel>, PrintWriter) - Method in class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
 
printAnswers(List<FeatureLabel>, PrintWriter) - Method in interface edu.stanford.nlp.sequences.DocumentReaderAndWriter
This method prints the output of the classifier to a PrintWriter.
printAnswers(List<FeatureLabel>) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
 
printAnswers(List<FeatureLabel>, PrintWriter) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
 
printAnswers(List<FeatureLabel>, PrintWriter) - Method in class edu.stanford.nlp.sequences.TrueCasingDocumentReaderAndWriter
 
printAnswersInlineXML(List<FeatureLabel>) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
 
printAnswersInlineXML(List<FeatureLabel>, PrintWriter) - Static method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
 
printAnswersXML(List<FeatureLabel>) - Static method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
 
printAnswersXML(List<FeatureLabel>, PrintWriter) - Static method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
 
printClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
printClassifierParam - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
printCounterComparison(GenericCounter<E>, GenericCounter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Great for debugging.
printCounterComparison(GenericCounter<E>, GenericCounter<E>, PrintStream) - Static method in class edu.stanford.nlp.stats.Counters
Great for debugging.
printCounterSortedByKeys(GenericCounter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
printFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
printFirstOrderProbs(String) - 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<FeatureLabel>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Takes a List of FeatureLabels and prints the likelihood of each possible label at each point.
printFirstOrderProbsDocuments(ObjectBank<List<FeatureLabel>>) - 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.
printGazFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
printProbs(String) - 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<FeatureLabel>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
printProbsDocument(List<FeatureLabel>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Takes a List of FeatureLabels and prints the likelihood of each possible label at each point.
printProbsDocuments(ObjectBank<List<FeatureLabel>>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Takes a List of documents and prints the likelihood of each possible label at each point.
printSamples(List, PrintStream) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
 
printState(BasicDocument) - Static method in class edu.stanford.nlp.ling.BasicDocument
For internal debugging purposes only.
printStringOneCharPerLine(String) - Static method in class edu.stanford.nlp.util.StringUtils
 
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.
printXML - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
prior - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
prior - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
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
 
prob(int, Object[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
prob(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
prob(int[]) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
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<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) - Method in class edu.stanford.nlp.process.StripTagsProcessor
Returns a new Document with the same meta-data as in, and the same words except tags are stripped.
process(List) - Method in class edu.stanford.nlp.process.WordToSentenceProcessor
Returns a List of Sentences where each element is built from a run of Words in the input Document.
processDocument(Document) - Method in class edu.stanford.nlp.process.AbstractListProcessor
 
processDocument(Document) - Method in interface edu.stanford.nlp.process.Processor
Converts a Document to a different Document, by transforming or filtering the original Document.
processDocument(List<FeatureLabel>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
processLists(List<List<IN>>) - Method in class edu.stanford.nlp.process.AbstractListProcessor
Process a list of lists of tokens.
Processor - Interface in edu.stanford.nlp.process
Top-level interface for transforming Documents.
product(GenericCounter<E>, GenericCounter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns the product of c1 and c2.
ptb2Text(String) - Static method in class edu.stanford.nlp.process.PTBTokenizer
Returns a presentable version of the given PTB-tokenized text.
ptb2Text(List) - Static method in class edu.stanford.nlp.process.PTBTokenizer
Returns a presentable version of the given PTB-tokenized words.
PTBTokenizer - Class in edu.stanford.nlp.process
Tokenizer implementation that conforms to the Penn Treebank tokenization conventions.
PTBTokenizer(Reader) - Constructor for class edu.stanford.nlp.process.PTBTokenizer
Constructs a new PTBTokenizer that treats carriage returns as normal whitespace.
PTBTokenizer(Reader, boolean) - Constructor for class edu.stanford.nlp.process.PTBTokenizer
Constructs a new PTBTokenizer that optionally returns carriage returns as their own token.
PTBTokenizer(Reader, boolean, LexedTokenFactory) - Constructor for class edu.stanford.nlp.process.PTBTokenizer
Constructs a new PTBTokenizer that optionally returns carriage returns as their own token, and has a custom LexedTokenFactory.
PTBTokenizer.PTBTokenizerFactory - Class in edu.stanford.nlp.process
 
PTBTokenizer.PTBTokenizerFactory() - Constructor for class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
Constructs a new PTBTokenizerFactory that treats carriage returns as normal whitespace.
PTBTokenizer.PTBTokenizerFactory(boolean) - Constructor for class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
Constructs a new PTBTokenizer that optionally returns carriage returns as their own token.
PTBTokenizer.PTBTokenizerFactory(boolean, LexedTokenFactory) - Constructor for class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
 
purgeDatasets - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
purgeFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
pushDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
put(Object, Object) - Method in class edu.stanford.nlp.ling.AbstractMapLabel
Associates the specified value with the specified key in the map contained in this label.
put(K, V) - Method in class edu.stanford.nlp.util.ArrayMap
 

Q

QNMinimizer - Class in edu.stanford.nlp.optimization
Limited-Memory Quasi-Newton BFGS implementation based on the algorithms in
QNMinimizer(int) - 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(Function, int) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
 
QNMinimizer(FloatFunction) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
 
QNsize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
QNsize2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
QUADRATIC_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
QUADRATIC_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
QUARTIC_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
QUARTIC_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 

R

randomizedRatio - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
readAndParseTag(Reader) - Static method in class edu.stanford.nlp.util.XMLUtils
 
readDocument() - Method in class edu.stanford.nlp.ling.DocumentReader
Reads the next document's worth of text from the reader and turns it into a Document.
readDoubleArr(DataInputStream) - Static method in class edu.stanford.nlp.maxent.Convert
 
readerAndWriter - Variable in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
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(Object) - Constructor for class edu.stanford.nlp.objectbank.ReaderIteratorFactory
Convenience constructor to construct a ReaderIteratorFactory from a single input source.
ReaderIteratorFactory() - Constructor for class edu.stanford.nlp.objectbank.ReaderIteratorFactory
Constructs a ReaderIteratorFactory with no initial input sources.
readFloatArr(DataInputStream) - Static method in class edu.stanford.nlp.maxent.Convert
 
readNextDocumentText() - Method in class edu.stanford.nlp.ling.DocumentReader
Reads the next document's worth of text from the reader.
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.
readResolve() - Method in class edu.stanford.nlp.sequences.Clique
 
readStringPair(DataInputStream) - Static method in class edu.stanford.nlp.util.Pair
Read a string representation of a Pair from a DataStream.
readTag(Reader) - Static method in class edu.stanford.nlp.util.XMLUtils
Reads all text of the XML tag and returns it as a String.
readText(Reader) - Static method in class edu.stanford.nlp.ling.DocumentReader
Returns everything that can be read from the given Reader as a String.
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.
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.
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 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.
remove(String) - Method in class edu.stanford.nlp.ling.FeatureLabel
 
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<FeatureLabel>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
remove(E) - Method in class edu.stanford.nlp.stats.Counter
Removes the given key from this Counter.
remove(E) - Method in class edu.stanford.nlp.stats.IntCounter
Removes the given key from this Counter.
remove() - Method in class edu.stanford.nlp.util.AbstractIterator
Throws an UnupportedOperationException.
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.Index
Removes an object from the index, if it exists (otherwise nothing happens).
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.Counter
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.
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
 
removeFirst() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Finds the object with the highest priority, removes it, and returns it.
removeFirst() - Method in interface edu.stanford.nlp.util.PriorityQueue
Finds the object with the highest priority, removes it, and returns it.
removeObject(List, Object) - 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.Counter
Removes all keys whose count is 0.
removeZeroCounts() - Method in class edu.stanford.nlp.stats.IntCounter
Removes all keys whose count is 0.
removingBeginningOfEntity(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
removingEndOfEntity(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
repeat(String, int) - Static method in class edu.stanford.nlp.util.StringUtils
 
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).
ResettableReaderIteratorFactory - Class in edu.stanford.nlp.objectbank
Vends ReaderIterators which can alway be rewound.
ResettableReaderIteratorFactory(Collection) - Constructor for class edu.stanford.nlp.objectbank.ResettableReaderIteratorFactory
Constructs a ResettableReaderIteratorFactory from the input sources contained in the Collection.
ResettableReaderIteratorFactory(Object) - Constructor for class edu.stanford.nlp.objectbank.ResettableReaderIteratorFactory
Convenience constructor to construct a ResettableReaderIteratorFactory from a single input source.
ResettableReaderIteratorFactory() - Constructor for class edu.stanford.nlp.objectbank.ResettableReaderIteratorFactory
Constructs a ResettableReaderIteratorFactory with no initial input sources.
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
 
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
 
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
 
retainEntitySubclassification - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
retainTop(int) - Method in class edu.stanford.nlp.stats.Counter
 
returnLastFoundSequence - Variable in class edu.stanford.nlp.sequences.SequenceGibbsSampler
 
reverse(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
reverseIndexOrder(TwoDimensionalCounter) - Static method in class edu.stanford.nlp.stats.TwoDimensionalCounter
Produces a new ConditionalCounter.
reverseKeys() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
 
rif - Variable in class edu.stanford.nlp.objectbank.ObjectBank
 
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.sequences.FactoredSequenceModel
 
rightWindow() - Method in interface edu.stanford.nlp.sequences.SequenceModel
How many positions to the right a position is dependent on.
ROLE_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
The standard key for the semantic role label
run() - Method in class edu.stanford.nlp.ie.NERServer
Runs this named entity recognizer server.
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.

S

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.
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
Assumes c is normalized.
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.
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.util.Pair
Write a string representation of a Pair from a DataStream.
saveCounter(GenericCounter<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) - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
saveFloatArr(DataOutputStream, float[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
saveProcessedData(List, String) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
saveUntaggedContents(File) - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
scale(GenericCounter<E>, 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.
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 - Class in edu.stanford.nlp.util
Scored Object: Wrapper class for holding a scored object
ScoredObject() - Constructor for class edu.stanford.nlp.util.ScoredObject
 
ScoredObject(Object, double) - Constructor for class edu.stanford.nlp.util.ScoredObject
 
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[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
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.
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.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
 
second - Variable in class edu.stanford.nlp.util.Pair
Direct access is deprecated.
second() - Method in class edu.stanford.nlp.util.Pair
 
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!!!!!
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_HEAD_POS_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
The standard key for Semantic Head Word POS which is a String
SEMANTIC_HEAD_WORD_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
The standard key for Semantic Head Word which is a String
Sentence - Class in edu.stanford.nlp.ling
Sentence holds a single sentence, and mediates between word numbers and words.
Sentence() - Constructor for class edu.stanford.nlp.ling.Sentence
Constructs an empty sentence.
Sentence(Collection<? extends HasWord>) - Constructor for class edu.stanford.nlp.ling.Sentence
Constructs a sentence from the input Collection.
Sentence(List, List) - Constructor for class edu.stanford.nlp.ling.Sentence
Create a Sentence as a list of TaggedWord from two lists of String, one for the words, and the second for the tags.
SeqClassifierFlags - Class in edu.stanford.nlp.sequences
Flags for sequence classifiers.
SeqClassifierFlags() - Constructor for class edu.stanford.nlp.sequences.SeqClassifierFlags
 
sequence - Variable in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
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
 
serializeClassifier(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
serializeClassifier(String) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
serializeCounter(GenericCounter, String) - Static method in class edu.stanford.nlp.stats.Counters
 
serializeDatasetsDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
serializeReadable(String) - Method in class edu.stanford.nlp.util.Index
 
serializeTo - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
serialVersionUID - Static variable in class edu.stanford.nlp.sequences.Clique
 
serialVersionUID - Static variable in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
set(Object, Object) - Method in class edu.stanford.nlp.ling.FeatureLabel
 
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
 
setAfter(String) - Method in class edu.stanford.nlp.ling.AbstractMapLabel
Set the String after the word by storing it in the map under the key AFTER_KEY.
setAfter(String) - Method in class edu.stanford.nlp.ling.FeatureLabel
Set the String after the word by storing it in the map under the key AFTER_KEY.
setAfter(String) - Method in interface edu.stanford.nlp.ling.HasContext
Set the String after the word.
setAnswer(String) - Method in class edu.stanford.nlp.ling.AbstractMapLabel
convenience method for setting answer *
setAnswer(String) - Method in class edu.stanford.nlp.ling.FeatureLabel
convenience method for setting answer *
setBefore(String) - Method in class edu.stanford.nlp.ling.AbstractMapLabel
Set the String before the word by storing it in the map under the key BEFORE_KEY.
setBefore(String) - Method in class edu.stanford.nlp.ling.FeatureLabel
Set the String before the word by storing it in the map under the key BEFORE_KEY.
setBefore(String) - Method in interface edu.stanford.nlp.ling.HasContext
Set the String before the word.
setCategory(String) - Method in class edu.stanford.nlp.ling.AbstractMapLabel
Set the category for the label.
setCategory(String) - Method in interface edu.stanford.nlp.ling.HasCategory
Set the category value for the label (if one is stored).
setCount(E, double) - Method in class edu.stanford.nlp.stats.Counter
Sets the current count for the given key.
setCount(E, String) - Method in class edu.stanford.nlp.stats.Counter
 
setCount(E, String) - Method in interface edu.stanford.nlp.stats.GenericCounter
Sets the count for this key to be the number encoded in the given String.
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(K1, K2, double) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
setCounter(K1, Counter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
setCounts(Collection<E>, double) - Method in class edu.stanford.nlp.stats.Counter
Sets the current count for each of the given keys.
setCounts(Collection<E>, int) - Method in class edu.stanford.nlp.stats.IntCounter
Sets the current count for each of the given keys.
setCurrent(String) - Method in class edu.stanford.nlp.ling.AbstractMapLabel
Set the String which is the unmangled word, which is stored in the map under the key CURRENT_KEY.
setCurrent(String) - Method in class edu.stanford.nlp.ling.FeatureLabel
Set the String which is the unmangled word, which is stored in the map under the key CURRENT_KEY.
setCurrent(String) - Method in interface edu.stanford.nlp.ling.HasContext
Set the String which is the unmangled word.
setDivider(String) - Static method in class edu.stanford.nlp.ling.TaggedWord
Set the String (usually just a single character) used to mark the separation between the word and the tag.
setFeatures(Collection) - Method in class edu.stanford.nlp.ling.AbstractMapLabel
 
setFirst(T1) - Method in class edu.stanford.nlp.util.Pair
 
setFromString(String) - Method in class edu.stanford.nlp.ling.AbstractMapLabel
Set value for the label from a String.
setFromString(String) - Method in class edu.stanford.nlp.ling.FeatureLabel
 
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) - Method in class edu.stanford.nlp.ling.ValueLabel
 
setGlobal(Interner) - Static method in class edu.stanford.nlp.util.Interner
For supplying a new instance for the global methods to use.
setGoldAnswer(String) - Method in class edu.stanford.nlp.ling.AbstractMapLabel
convenience method for setting gold answer *
setGoldAnswer(String) - Method in class edu.stanford.nlp.ling.FeatureLabel
convenience method for setting gold answer *
setHeadTag(Object) - Method in class edu.stanford.nlp.ling.AbstractMapLabel
Set a pointer to the head-word for the label.
setHeadWord(Object) - Method in class edu.stanford.nlp.ling.AbstractMapLabel
Set a pointer to the head-word for the label.
setIndex(int) - Method in class edu.stanford.nlp.ling.AbstractMapLabel
Set the index for the label by storing it in the contained map under the key INDEX_KEY.
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.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
setInterpretation(Object) - Method in class edu.stanford.nlp.ling.AbstractMapLabel
 
setKeepOriginalText(boolean) - Method in class edu.stanford.nlp.ling.DocumentReader
Sets whether created documents should store their source text along with tokenized words.
setKnownLowerCaseWords(Set) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
 
setLabel(Object) - Method in class edu.stanford.nlp.ie.crf.CRFDatum
Removes all currently assigned Labels for this Datum then adds the given Label.
setLabel(Object) - Method in class edu.stanford.nlp.ling.BasicDocument
Removes all currently assigned labels for this Document then adds the given label.
setLabels(Collection) - Method in class edu.stanford.nlp.ling.BasicDocument
Removes all currently assigned labels for this Document then adds all of the given labels.
setLemma(String) - Method in class edu.stanford.nlp.ling.AbstractMapLabel
 
setM(int) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
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
 
setMarkLineBreaks(boolean) - Method in class edu.stanford.nlp.process.StripTagsProcessor
Sets whether the output of the processor will contain newline words ("\n") at the end of block-level tags.
setNER(String) - Method in class edu.stanford.nlp.ling.AbstractMapLabel
Set the NER label for the word, using the key NER_KEY.
setNER(String) - Method in class edu.stanford.nlp.ling.FeatureLabel
Set the NER label for the word, using the key NER_KEY.
setObject(Object) - Method in class edu.stanford.nlp.util.ScoredObject
 
setProperties(Properties) - Method in class edu.stanford.nlp.sequences.SeqClassifierFlags
Initialize using values in Properties file.
setProperties(Properties, boolean) - Method in class edu.stanford.nlp.sequences.SeqClassifierFlags
Initialize using values in Properties file.
setReader(Reader) - Method in class edu.stanford.nlp.ling.DocumentReader
Sets the reader from which to read and create documents.
setRole(String) - Method in class edu.stanford.nlp.ling.AbstractMapLabel
 
Sets - Class in edu.stanford.nlp.util
Utilities for sets
setScore(double) - Method in class edu.stanford.nlp.util.ScoredObject
 
setSecond(T2) - Method in class edu.stanford.nlp.util.Pair
 
setSemanticTag(String) - Method in class edu.stanford.nlp.ling.AbstractMapLabel
Set the semantic head pos of the phrase
setSemanticWord(String) - Method in class edu.stanford.nlp.ling.AbstractMapLabel
Set the semantic head of the phrase
setShape(String) - Method in class edu.stanford.nlp.ling.AbstractMapLabel
Set the shape property for the word, using the key SHAPE_KEY.
setSource(Reader) - Method in class edu.stanford.nlp.process.InvertiblePTBTokenizer
Sets the source of this Tokenizer to be the Reader r.
setSource(Reader) - Method in class edu.stanford.nlp.process.PTBTokenizer
Sets the source of this Tokenizer to be the Reader r.
setSource(int) - Method in class edu.stanford.nlp.util.IntUni
 
setSpan(String) - Method in class edu.stanford.nlp.ling.AbstractMapLabel
 
setStaticCapitalizeTimex(boolean) - Method in class edu.stanford.nlp.process.Americanize
 
setTag(String) - Method in class edu.stanford.nlp.ling.AbstractMapLabel
Set the head tag for the label by storing it in the map under the key HEAD_TAG_KEY.
setTag(String) - Method in interface edu.stanford.nlp.ling.HasTag
Set the tag value for the label (if one is stored).
setTag(String) - Method in class edu.stanford.nlp.ling.TaggedWord
 
setTitle(String) - Method in class edu.stanford.nlp.ling.BasicDocument
Sets the title of this Document to the given title.
setTokenizerFactory(TokenizerFactory) - Method in class edu.stanford.nlp.ling.BasicDocument
Sets the tokenizerFactory to be used by BasicDocument.parse(String).
setTokenizerFactory(TokenizerFactory) - Method in class edu.stanford.nlp.ling.DocumentReader
Sets the tokenizer used to chop up text into words for the documents.
setToLogDeterministic(float[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
 
setToLogDeterministic(double[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
 
setValue(int[], double) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
setValue(int[], float) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
setValue(String) - Method in class edu.stanford.nlp.ling.AbstractMapLabel
Set the value for the label.
setValue(String) - Method in class edu.stanford.nlp.ling.FeatureLabel
 
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(double) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
setWord(String) - Method in class edu.stanford.nlp.ling.AbstractMapLabel
Set the word for the label.
setWord(String) - Method in class edu.stanford.nlp.ling.FeatureLabel
convenience method for setting word *
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
 
setWords(Collection<HasWord>) - Method in class edu.stanford.nlp.ling.Sentence
Set the Sentence to this Collection of Word's.
shape() - Method in class edu.stanford.nlp.ling.AbstractMapLabel
Return the shape attribute of the word, which is stored in the map under the key SHAPE_KEY.
SHAPE_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
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.
shift(int) - Method in class edu.stanford.nlp.sequences.Clique
 
shiftLeft() - Method in class edu.stanford.nlp.util.IntTuple
 
shortArrToByteArr(short[]) - Static method in class edu.stanford.nlp.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
 
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
 
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.sequences.SeqClassifierFlags
 
sigmoid(double) - Static method in class edu.stanford.nlp.math.SloppyMath
Compute the sigmoid function with mean zero.
size() - Method in class edu.stanford.nlp.objectbank.ObjectBank
Can be slow.
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.Counter
Returns the number of keys stored in the counter.
size() - Method in interface edu.stanford.nlp.stats.GenericCounter
Returns the number of entries 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.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 interface edu.stanford.nlp.util.Heap
The number of elements currently in the heap.
size() - Method in class edu.stanford.nlp.util.Index
Checks the number of indexed objects.
size() - Method in class edu.stanford.nlp.util.Interner
 
size() - Method in class edu.stanford.nlp.util.PaddedList
 
skewDivergence(GenericCounter<E>, GenericCounter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
Calculates the skew divergence between the two counters.
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.
SloppyMath() - Constructor for class edu.stanford.nlp.math.SloppyMath
 
slurpFile(File) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text in the given File.
slurpFile(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text in the given file with the given encoding.
slurpFile(String) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text in the given file
slurpFileNoExceptions(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text in the given file with the given encoding.
slurpFileNoExceptions(File) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text in the given File.
slurpFileNoExceptions(String) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text in the given File.
slurpGBFile(String) - Static method in class edu.stanford.nlp.util.StringUtils
 
slurpGBFileNoExceptions(String) - Static method in class edu.stanford.nlp.util.StringUtils
 
slurpGBURL(URL) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text at the given URL.
slurpGBURLNoExceptions(URL) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text at the given URL.
slurpGZippedFile(String) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text in the given File.
slurpGZippedFile(File) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text in the given File.
slurpReader(Reader) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text from the given Reader.
slurpURL(URL, String) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text at the given URL.
slurpURL(URL) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text at the given URL.
slurpURL(String) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text at the given URL.
slurpURLNoExceptions(URL, String) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text at the given URL.
slurpURLNoExceptions(URL) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text at the given URL.
slurpURLNoExceptions(String) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text at the given URL.
sortedKeys(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
span() - Method in class edu.stanford.nlp.ling.AbstractMapLabel
The span of this node as begin and end positions if it exists
SPAN_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
The standard key for span which is a String
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
 
standardErrorOfMean(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
start() - Method in class edu.stanford.nlp.util.Timing
Start timer.
START_POSITION_KEY - Static variable in class edu.stanford.nlp.process.InvertiblePTBTokenizer
 
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
 
startTime() - Static method in class edu.stanford.nlp.util.Timing
Start (static) timer.
stdev(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
STEM_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
 
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.
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
 
stringIntern(Pair<String, String>) - Static method in class edu.stanford.nlp.util.Pair
If first and second are Strings, then this returns an InternedPair 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(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.
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
 
stripNonAlphaNumerics(String) - Static method in class edu.stanford.nlp.util.StringUtils
 
stripTags(Reader, List, boolean) - Static method in class edu.stanford.nlp.util.XMLUtils
 
StripTagsProcessor - Class in edu.stanford.nlp.process
A Processor whose process method deletes all SGML/XML/HTML tags (tokens starting with < and ending with >.
StripTagsProcessor() - Constructor for class edu.stanford.nlp.process.StripTagsProcessor
Constructs a new StripTagsProcessor that doesn't mark line breaks.
StripTagsProcessor(boolean) - Constructor for class edu.stanford.nlp.process.StripTagsProcessor
Constructs a new StripTagProcessor that marks line breaks as specified.
subArray(int[], int, int) - Static method in class edu.stanford.nlp.math.ArrayMath
 
subCWGaz - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
subtractAll(GenericCounter<E>, boolean) - Method in class edu.stanford.nlp.stats.Counter
Subtracts the counts in the given Counter from the counts in this Counter.
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(TwoDimensionalCounter<K1, K2>, boolean) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
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
 
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
 
sumSquaredError(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
svmModelFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 

T

tag() - Method in class edu.stanford.nlp.ling.AbstractMapLabel
Return the head tag of the label (or null if none), which is stored in the map under the key TAG_KEY.
tag() - Method in class edu.stanford.nlp.ling.FeatureLabel
 
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.TaggedWord
 
TAG_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
The standard key for storing a tag in the map.
TAG_LABEL - Static variable in class edu.stanford.nlp.ling.TaggedWordFactory
 
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.
test(List<FeatureLabel>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Classify a List of FeatureLabels.
test(List<FeatureLabel>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
testAndWriteAnswers(String) - 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).
testAndWriteAnswersKBest(String, int) - 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).
testFile(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Classify a Sentence.
testFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
testFiles - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
testGibbs(List<FeatureLabel>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
testKBest(List<FeatureLabel>, String, int) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
testMaxEnt(List<FeatureLabel>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
testSentence(List<? extends HasWord>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Classify a Sentence.
testSentences(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Classify a Sentence.
testSentenceWithCasing(List<FeatureLabel>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Classify a List of FeatureLabels using a TrueCasingDocumentReader.
testString(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Classify the contents of a String.
testStringInlineXML(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Classify the contents of a String.
testStringXML(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Classify the contents of a String.
text - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
 
textFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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 - Variable in class edu.stanford.nlp.ling.BasicDocument
title of this document (never null).
title() - Method in class edu.stanford.nlp.ling.BasicDocument
Returns the title of this document.
title() - Method in interface edu.stanford.nlp.ling.Document
Returns title of document, or "" if the document has no title.
to1D(float[][]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
to1D(double[][]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
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 which 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
 
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(E[]) - Method in class edu.stanford.nlp.objectbank.ObjectBank
Can be slow.
toArray() - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
toArray(List<FeatureLabel>[]) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
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
 
toCounter(double[], Index<T>) - Static method in class edu.stanford.nlp.stats.Counters
 
toCSVString(NumberFormat) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
toCSVString(String[]) - Static method in class edu.stanford.nlp.util.StringUtils
 
toDatFileString() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
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.
tokenizeCRs - Variable in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
 
Tokenizer<T> - Interface in edu.stanford.nlp.process
Tokenizers break up text into individual Objects.
tokenizerFactory - Variable in class edu.stanford.nlp.ling.BasicDocument
TokenizerFactory used to convert the text into words inside BasicDocument.parse(String).
tokenizerFactory() - Method in class edu.stanford.nlp.ling.BasicDocument
Returns the current TokenizerFactory used by BasicDocument.parse(String).
tokenizerFactory - Variable in class edu.stanford.nlp.ling.DocumentReader
Tokenizer used to chop up document text into words.
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.
tolerance - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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
 
toOriginalString(List<FeatureLabel>) - Static method in class edu.stanford.nlp.ling.FeatureLabel
Pieces a List of MapLabels back together using before, after and current.
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.
toPriorityQueue(GenericCounter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns a PriorityQueue of the c where the score of the object is its priority.
toProbString() - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
toProbString() - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
toSecondsString() - Method in class edu.stanford.nlp.util.Timing
 
toSentence(List<FeatureLabel>) - Static method in class edu.stanford.nlp.ling.FeatureLabel
Pieces a List of MapLabels back together using word and setting a white space between each word
toSortedList(GenericCounter<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 interface edu.stanford.nlp.util.PriorityQueue
 
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) - 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.ling.FeatureLabel
 
toString(String) - Method in class edu.stanford.nlp.ling.FeatureLabel
 
toString() - Method in interface edu.stanford.nlp.ling.Label
Return a String representation of the label.
toString() - Method in class edu.stanford.nlp.ling.Sentence
Returns the sentence as a string with a space between words.
toString(boolean) - Method in class edu.stanford.nlp.ling.Sentence
Returns the sentence as a string with a space between words.
toString() - 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(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.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
 
toString() - Method in class edu.stanford.nlp.stats.Counter
 
toString(int) - Method in class edu.stanford.nlp.stats.Counter
Returns a string representation which includes no more than the maxKeysToPrint elements with largest counts.
toString(NumberFormat, String, String, String, String) - Method in class edu.stanford.nlp.stats.Counter
Pretty print a Counter.
toString(NumberFormat) - Method in class edu.stanford.nlp.stats.Counter
Pretty print a Counter.
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.TwoDimensionalCounter
 
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
 
toString() - Method in class edu.stanford.nlp.util.Index
 
toString() - Method in class edu.stanford.nlp.util.IntTuple
 
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() - 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.XMLUtils.XMLTag
 
TOSTRING_FORMAT - Static variable in class edu.stanford.nlp.ling.FeatureLabel
 
totalCount() - Method in class edu.stanford.nlp.stats.Counter
Returns the current total count for all objects in this Counter.
totalCount(Filter<E>) - Method in class edu.stanford.nlp.stats.Counter
Returns the total count for all objects in this Counter that pass the given Filter.
totalCount() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
returns the total count of objects in the GeneralizedCounter.
totalCount() - Method in class edu.stanford.nlp.stats.IntCounter
Returns the current total count for all objects in this Counter.
totalCount(Filter) - Method in class edu.stanford.nlp.stats.IntCounter
Returns the total count for all objects in this Counter that pass the given Filter.
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.Counter
Returns the current total count for all objects in this Counter.
totalDoubleCount() - Method in interface edu.stanford.nlp.stats.GenericCounter
Computes the total of all counts in this counter, and returns it as a double.
totalDoubleCount() - Method in class edu.stanford.nlp.stats.IntCounter
 
totalDoubleCount(Filter) - Method in class edu.stanford.nlp.stats.IntCounter
 
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
 
toVerticalString(Counter) - Static method in class edu.stanford.nlp.stats.Counters
 
toVerticalString(Counter, int) - Static method in class edu.stanford.nlp.stats.Counters
 
toVerticalString() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
toVerticalString(Map) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
tr(String, String, String) - Static method in class edu.stanford.nlp.util.StringUtils
Swap any occurances 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(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
train(ObjectBank<List<FeatureLabel>>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
train(ObjectBank<List<FeatureLabel>>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Train a classifier:
trainFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
trainFiles - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
TREE_MAP_FACTORY - Static variable in class edu.stanford.nlp.util.MapFactory
 
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
 
TrueCasingDocumentReaderAndWriter - Class in edu.stanford.nlp.sequences
 
TrueCasingDocumentReaderAndWriter() - Constructor for class edu.stanford.nlp.sequences.TrueCasingDocumentReaderAndWriter
 
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.
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) - Constructor for class edu.stanford.nlp.stats.TwoDimensionalCounter
 
twoStage - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
type - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 

U

unbox(List<Integer>) - Static method in class edu.stanford.nlp.math.ArrayMath
 
unbox(List<Double>) - Static method in class edu.stanford.nlp.math.ArrayMath
 
unescapeStringForXML(String) - Static method in class edu.stanford.nlp.util.XMLUtils
 
union(GenericCounter<E>, GenericCounter<E>) - 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(Set, Set) - Static method in class edu.stanford.nlp.util.Sets
set union
unlock() - Method in class edu.stanford.nlp.util.Index
Unlocks the Index.
unmodifiableView() - Method in class edu.stanford.nlp.util.Index
Returns and unmodifiable view of the Index.
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
 
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.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.
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
 
useAcqPrior - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useACR - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useAltGazFeatures - 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
 
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
 
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
 
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
 
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
 
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
 
useFilter - 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
 
useGENIA - 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
 
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
 
useLastRealWord - 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
 
useMinimalAbbr - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useMinimalAbbr1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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
 
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
 
usePosition - 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
 
useQN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useQuartic - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useRad1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useRad2 - 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
 
useRule - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useRule2 - 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
 
useShapeConjunctions - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useShapeStrings - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usesLC(int) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
Returns true if the specified word shaper uses known lower case words.
useSuf - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSum - 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
 
useTitle - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTOK - 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
 
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
 
useWordPairs - 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
 
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

value() - Method in class edu.stanford.nlp.ling.AbstractMapLabel
 
value() - Method in class edu.stanford.nlp.ling.FeatureLabel
 
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 - Variable in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
 
value - Variable in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
VALUE_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
The standard key for storing a value in the map, as a String.
valueAt(float[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
 
valueAt(double[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
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, MapFactory) - Static method in class edu.stanford.nlp.ling.FeatureLabel
Uses String representation of a Map to populate Map with String keys and String values.
valueOf(int, int) - Static method in class edu.stanford.nlp.sequences.Clique
 
valueOf(int[]) - Static method in class edu.stanford.nlp.sequences.Clique
relativeIndices should be sorted.
valueOf(Clique, int) - Static method in class edu.stanford.nlp.sequences.Clique
 
valueOf(String) - Static method in class edu.stanford.nlp.stats.Counter
Returns the Counter over Strings specified by this String.
valueOf(List<F>) - 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.
variance(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
VERB_SENSE_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
Probank key for the Verb sense given in the Propbank Annotation, should only be in the verbnode
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
 
verify() - Method in class edu.stanford.nlp.util.ArrayHeap
 

W

WEAK_HASH_MAP_FACTORY - Static variable in class edu.stanford.nlp.util.MapFactory
 
wideDisjunctionWidth - 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() - Method in class edu.stanford.nlp.ling.AbstractMapLabel
Return the word of the label, stored in the map under the key WORD_KEY.
word() - Method in class edu.stanford.nlp.ling.FeatureLabel
convenience method for getting word *
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(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_KEY - Static variable in class edu.stanford.nlp.ling.AbstractMapLabel
The standard key for storing a word in the map, as a String.
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.
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 word.
wordShape(String, int, Set) - 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 word.
wordShape(String, int, boolean) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
 
wordShape(String, int, boolean, Set) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
 
wordShape - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
WORDSHAPECHRIS1 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
wordShapeChris1(String) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPECHRIS2 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
wordShapeChris2(String, boolean, boolean) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
This one picks up on Dan2 ideas, but seeks to make less distinctions mid sequence by sorting for long words, but to maintain extra distinctions for short words.
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
 
wordShapeChris4(String, boolean, boolean) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
This one picks up on Dan2 ideas, but seeks to make less distinctions mid sequence by sorting for long words, but to maintain extra distinctions for short words, by always recording the class of the first and last two characters of the word.
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
 
wordShapeDan1(String) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
A fairly basic 5-way classifier, that notes digits, and upper and lower case, mixed, and non-alphanumeric.
WORDSHAPEDAN2 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
wordShapeDan2(String, boolean) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
A fine-grained word shape classifier, that equivalence classes.
WORDSHAPEDAN2BIO - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
wordShapeDan2Bio(String, boolean) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
Returns a fine-grained word shape classifier, that equivalence classes lower and upper case and digits, and collapses sequences of the same type, but keeps all punctuation.
WORDSHAPEDAN2BIOUSELC - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEDAN2USELC - 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
 
wordShapeJenny1(String, boolean) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEJENNY1USELC - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WordTokenFactory - Class in edu.stanford.nlp.process
Constructs a Word from a String.
WordTokenFactory() - Constructor for class edu.stanford.nlp.process.WordTokenFactory
 
WordToSentenceProcessor - 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(Set) - 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.
WordToSentenceProcessor(Set, Set) - 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(Set, Set, Set) - 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
 
writeAnswers(List<FeatureLabel>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Write the classifications of the Sequence classifier out 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
 
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(Serializable, String) - Static method in class edu.stanford.nlp.io.IOUtils
Write object to a file with the specified name.
writeObjectToFileNoExceptions(Serializable, String) - Static method in class edu.stanford.nlp.io.IOUtils
Write object to a file with the specified name.
writeObjectToTempFile(Serializable, String) - Static method in class edu.stanford.nlp.io.IOUtils
Write object to temp file which is destroyed when the program exits.
writeObjectToTempFileNoExceptions(Serializable, 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
 
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

XMLBeginEndIterator - Class in edu.stanford.nlp.objectbank
A class which iterates over Strings occuring between the begin and end of a selected tag or tags.
XMLBeginEndIterator(Reader, String) - Constructor for class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
XMLBeginEndIterator(Reader, String, boolean) - Constructor for class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
XMLBeginEndIterator(Reader, String, Function, boolean) - Constructor for class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
XMLBeginEndIterator(Reader, String, boolean, boolean) - Constructor for class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
XMLBeginEndIterator(Reader, String, Function, boolean, boolean) - Constructor for class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
XMLUtils - Class in edu.stanford.nlp.util
Class XMLUtils
XMLUtils() - Constructor for class edu.stanford.nlp.util.XMLUtils
 
XMLUtils.XMLTag - Class in edu.stanford.nlp.util
 
XMLUtils.XMLTag(String) - Constructor for class edu.stanford.nlp.util.XMLUtils.XMLTag
Assumes that String contains XML tag.

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Stanford NLP Group