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

A

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 - Class in edu.stanford.nlp.process
Class AbstractListProcessor
AbstractListProcessor() - Constructor for class edu.stanford.nlp.process.AbstractListProcessor
 
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.
add(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
 
add(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
add(float[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
add(Experiments) - Method in class edu.stanford.nlp.maxent.Experiments
 
add(Feature) - Method in class edu.stanford.nlp.maxent.Features
 
add(Feature) - Method in class edu.stanford.nlp.maxent.Problem
 
add(int) - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClass
 
add(AmbiguityClass) - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClasses
 
add(String, String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
add(Object) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
 
add(History) - Method in class edu.stanford.nlp.tagger.maxent.HistoryTable
 
add(int, History, int) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
 
add(String) - Method in class edu.stanford.nlp.tagger.maxent.TTags
 
add(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
 
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<? extends E>) - Method in class edu.stanford.nlp.util.Index
Adds every member of Collection to the Index.
addConjunctions() - Static method in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
this adds the conjunctions of various features in the rare words features
addFeatures() - Static method in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
expand the extractors list
addInPlace(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
 
addInPlace(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
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.
addLCTagFeatures() - Static method in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
addPartTakingVerb(History, String) - Method in class edu.stanford.nlp.tagger.maxent.ReadDataTagged
 
addPositions(int, int, FeatureKey) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
 
addPrev(int, History, int) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
 
addPRRBINTakingVerb(History, String) - Method in class edu.stanford.nlp.tagger.maxent.ReadDataTagged
 
addRareTemplatesNew(History, String, int, int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
addTemplatesNew(History, String, int, int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
Add a new feature key in a hashtable of feature templates
addThatTakingVerb(History, String, String) - Method in class edu.stanford.nlp.tagger.maxent.ReadDataTagged
 
addUnknown(Dictionary) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
This method should be called after the sentence has been tagged.
addVPTaking(String, String, String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
addVThatTaking(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
allTaggerOutputs - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
AmbiguityClass - Class in edu.stanford.nlp.tagger.maxent
An ambiguity class for a word is the word by itself or its set of observed tags.
AmbiguityClass() - Constructor for class edu.stanford.nlp.tagger.maxent.AmbiguityClass
 
AmbiguityClass(String) - Constructor for class edu.stanford.nlp.tagger.maxent.AmbiguityClass
 
AmbiguityClass(String, boolean) - Constructor for class edu.stanford.nlp.tagger.maxent.AmbiguityClass
 
AmbiguityClasses - Class in edu.stanford.nlp.tagger.maxent
A collection of Ambiguity Class.
AmbiguityClasses() - Constructor for class edu.stanford.nlp.tagger.maxent.AmbiguityClasses
 
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.
append(String[], String) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
appendOld(String[], String) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
Deterministically adds other possible tags for words given observed tags.
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.
apply(List<HasWord>) - Method in class edu.stanford.nlp.process.PTBEscapingProcessor
Unescape a List of HasWords.
apply(Object) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
Expects a sentence and returns a tagged sentence
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) - 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.
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) - 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.
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_MAP_FACTORY - Static variable in class edu.stanford.nlp.util.MapFactory
 
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
 
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.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
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
 
averageCount() - Method in class edu.stanford.nlp.stats.Counter
Returns the mean of all the counts (totalCount/size).

B

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
 
belongs(String) - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClass
 
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.
BestSequenceFinder - Interface in edu.stanford.nlp.sequences
An interface for classes capable of computing the best sequence given a SequenceModel.
BinaryFeature - Class in edu.stanford.nlp.maxent
This is used when only binary features are needed.
BinaryFeature() - Constructor for class edu.stanford.nlp.maxent.BinaryFeature
 
BinaryFeature(Experiments, double[], Index) - Constructor for class edu.stanford.nlp.maxent.BinaryFeature
 
BinaryFeature(Experiments, int[], Index) - Constructor for class edu.stanford.nlp.maxent.BinaryFeature
 
BinaryFeature(Experiments, double[][], Index) - Constructor for class edu.stanford.nlp.maxent.BinaryFeature
 
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
 
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
 

C

cAllCap - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
"1" if token has no lower case letters
cAllCapitalized - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
"1" if token has only upper case letters
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
 
cCapDist - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
Distance to lowercase word
cCompany - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
"1" if capitalized and one of following 3 words is Inc., Co., or Corp.
CGRunner - Class in edu.stanford.nlp.maxent
This class will call Conjugate Gradient on a LambdaSolve object to find optimal parameters, including imposing a Gaussian prior on those parameters.
CGRunner(LambdaSolve, String) - Constructor for class edu.stanford.nlp.maxent.CGRunner
Set up a LambdaSolve problem for solution by Conjugate Gradient.
CGRunner(LambdaSolve, String, double, boolean, double) - Constructor for class edu.stanford.nlp.maxent.CGRunner
Set up a LambdaSolve problem for solution by Conjugate Gradient.
CGRunner(LambdaSolve, String, double, boolean, double[]) - Constructor for class edu.stanford.nlp.maxent.CGRunner
Set up a LambdaSolve problem for solution by Conjugate Gradient.
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
 
charToAscii(char) - Static method in class edu.stanford.nlp.maxent.Convert
 
checkCorrectness() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Check whether the constraints are satisfied, the probabilities sum to one, etc.
checkCorrectness() - Method in class edu.stanford.nlp.tagger.maxent.LambdaSolveTagger
 
chiSquare2by2(int, int, int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
Find a 2x2 chi-square value.
clean() - Method in class edu.stanford.nlp.maxent.Features
 
clear() - Method in class edu.stanford.nlp.stats.Counter
Removes all counts from this Counter.
clear() - Method in class edu.stanford.nlp.util.Index
Clears this Index.
clearEmpty() - Static method in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
cLetterDigitDash - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
"1" if word contains letter, digit, and dash, in any position and case
clone() - Method in class edu.stanford.nlp.stats.Counter
 
cMidSentence - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
"1" if not first word of sentence and _some_ letter is uppercase
codeTable - Static variable in class edu.stanford.nlp.maxent.Convert
 
CollectionTaggerOutputs - Class in edu.stanford.nlp.tagger.maxent
This class will just hold an array of the outputs of all available taggers.
CollectionTaggerOutputs(int) - Constructor for class edu.stanford.nlp.tagger.maxent.CollectionTaggerOutputs
 
CollectionTaggerOutputs(String[]) - Constructor for class edu.stanford.nlp.tagger.maxent.CollectionTaggerOutputs
These will be like commnad-line arguments.
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
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.
compareTo(ValueLabel) - Method in class edu.stanford.nlp.ling.ValueLabel
Orders by value()'s lexicographic ordering.
compareTo(WordTag) - Method in class edu.stanford.nlp.ling.WordTag
Orders first by word, then by tag.
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(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
 
contains(int[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
 
contains(History) - Method in class edu.stanford.nlp.tagger.maxent.HistoryTable
 
contains(Object) - Method in class edu.stanford.nlp.util.Index
Checks whether an Object already has an index in the Index
containsKey(E) - Method in class edu.stanford.nlp.stats.Counter
 
containsKey(E) - Method in interface edu.stanford.nlp.stats.GenericCounter
 
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
 
convertValues - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
 
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.
countFeats - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
CountWrapper - Class in edu.stanford.nlp.tagger.maxent
 
CountWrapper() - Constructor for class edu.stanford.nlp.tagger.maxent.CountWrapper
 
CountWrapper(String, int, int, int, int) - Constructor for class edu.stanford.nlp.tagger.maxent.CountWrapper
 
cPluralAcronym - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
"1" if a plural acronym: capital letters followed by 's'
createIndex() - Method in class edu.stanford.nlp.maxent.Experiments
 
cTag - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
cUCaseLCase - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
"0" if first letter isn't uppercase or if lowercase version isn't in dictionary.
cUpperDigitDash - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
"1" if word contains uppercase letter, digit, and dash
cWord - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
cWordCapCase - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
cWordDash - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
"1" iff word contains 1 or more dash characters (somewhere)
cWordLowerCase - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
cWordMidUCase - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
"0" if first word of sentence or not first letter uppercase or if lowercase version isn't in dictionary.
cWordNextWord - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
cWordNumber - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
"1" iff word contains 1 or more digit characters (somewhere)
cWordPref1 - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
First 1-4 characters of word
cWordPref2 - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
cWordPref3 - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
cWordPref4 - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
cWordPrevWord - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
cWordStartUCase - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
"0" if not 1st word of sentence or not upper case, or lowercased version not in dictionary.
cWordSuff1 - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
Last 1-4 characters of word
cWordSuff2 - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
cWordSuff3 - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
cWordSuff4 - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
cWordUppCase - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
"1" iff word contains 1 or more upper case characters (somewhere)

D

data - Variable in class edu.stanford.nlp.maxent.Problem
This is the training data.
DataGeneric - Class in edu.stanford.nlp.maxent
A class representing a data item with an array of inputs X and a String classification Y
DataGeneric() - Constructor for class edu.stanford.nlp.maxent.DataGeneric
 
DataWordTag - Class in edu.stanford.nlp.tagger.maxent
 
DataWordTag() - Constructor for class edu.stanford.nlp.tagger.maxent.DataWordTag
 
DataWordTag(History, String) - Constructor for class edu.stanford.nlp.tagger.maxent.DataWordTag
 
DataWordTag(History, int) - Constructor for class edu.stanford.nlp.tagger.maxent.DataWordTag
 
Datum - Interface in edu.stanford.nlp.ling
Interface for Objects which can be described by their features.
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.
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.
DEFAULT_NLP_GROUP_MODEL_PATH - Static variable in class edu.stanford.nlp.tagger.maxent.MaxentTagger
 
defaultOldChars - Static variable in class edu.stanford.nlp.process.PTBEscapingProcessor
 
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.
deserializeReadable(String) - Static method in class edu.stanford.nlp.util.Index
 
Dictionary - Class in edu.stanford.nlp.tagger.maxent
 
Dictionary() - Constructor for class edu.stanford.nlp.tagger.maxent.Dictionary
 
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.
divide(double, double) - Static method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Given a numerator and denominator in log form, this calculates the conditional model probabilities.
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.
Document - Interface in edu.stanford.nlp.ling
Represents a text document as a list of Words with a title.
DocumentPreprocessor - Class in edu.stanford.nlp.process
Fully customizable preprocessor for XML, HTML, and plain text documents.
DocumentPreprocessor(TokenizerFactory) - Constructor for class edu.stanford.nlp.process.DocumentPreprocessor
 
DocumentPreprocessor() - Constructor for class edu.stanford.nlp.process.DocumentPreprocessor
Constructs a preprocessor using the default tokenzier: PTBTokenizer.
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.
domain() - Method in class edu.stanford.nlp.maxent.Features
 
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
DONT_CAPITALIZE_TIMEX - Static variable in class edu.stanford.nlp.process.Americanize
 
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.
doubleValue() - Method in class edu.stanford.nlp.util.MutableDouble
 
dump() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
dump(PrintStream) - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
dumpActivations(String) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
tokenize s into words, and dump unknown word activations

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.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.maxent.iis - package edu.stanford.nlp.maxent.iis
This package contains an implementation of Improved Iterative Scaling.
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.tagger.maxent - package edu.stanford.nlp.tagger.maxent
A Maximum Entropy Part-of-Speech Tagger.
edu.stanford.nlp.util - package edu.stanford.nlp.util
A collection of useful general-purpose utility classes.
edu.stanford.nlp.web - package edu.stanford.nlp.web
This package contains classes for web access.
eFrames - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
eFrames_bidirectional - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
eFrames_left3words - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
elems() - Method in class edu.stanford.nlp.util.IntTuple
 
EMPTY - Static variable in class edu.stanford.nlp.ling.Word
Word representation of an empty.
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.
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).
entrySet() - Method in class edu.stanford.nlp.stats.Counter
 
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.
eps - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
 
equals(Object) - Method in class edu.stanford.nlp.ling.ValueLabel
Equality for ValueLabels is defined in the first instance as equality of their String value().
equals(Object) - Method in class edu.stanford.nlp.ling.WordTag
 
equals(Object) - Method in class edu.stanford.nlp.stats.Counter
 
equals(Object) - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClass
 
equals(History, History) - Method in class edu.stanford.nlp.tagger.maxent.Extractors
 
equals(Object) - Method in class edu.stanford.nlp.tagger.maxent.FeatureKey
 
equals(Object) - Method in class edu.stanford.nlp.tagger.maxent.History
 
equals(Object) - Method in class edu.stanford.nlp.util.ArrayMap
 
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.Pair
 
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.
exp(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
expandModel(String, String, int) - Static method in class edu.stanford.nlp.tagger.maxent.TestClassifier
 
expectedValue() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Each pair x,y has a value in p.data.values[x][y]
Experiments - Class in edu.stanford.nlp.maxent
This class represents the training samples.
Experiments() - Constructor for class edu.stanford.nlp.maxent.Experiments
 
Experiments(int[][]) - Constructor for class edu.stanford.nlp.maxent.Experiments
If this constructor is used, the maximum possible class overall is found and all classes are assumed possible for all instances
Experiments(int[][], int[]) - Constructor for class edu.stanford.nlp.maxent.Experiments
The number of possible classes for each instance is contained in the array maxYs then the possible classes for x are from 0 to maxYs[x]-1
Experiments(int[][], int) - Constructor for class edu.stanford.nlp.maxent.Experiments
 
Experiments(String) - Constructor for class edu.stanford.nlp.maxent.Experiments
The filename has format: xSizeySize x1 y1 x2 y2 ..
expInPlace(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
exSize - Variable in class edu.stanford.nlp.maxent.Problem
 
extract(int, History) - Method in class edu.stanford.nlp.tagger.maxent.Extractors
extract using the i-th extractor
Extractor - Class in edu.stanford.nlp.tagger.maxent
This class serves as the base class for classes which extract relevant information from a history to give it to the features.
Extractor() - Constructor for class edu.stanford.nlp.tagger.maxent.Extractor
 
Extractor(int, boolean) - Constructor for class edu.stanford.nlp.tagger.maxent.Extractor
This constructor creates an extractor which extracts either the tag or the word from position position in the history.
ExtractorAllTaggerOutputs - Class in edu.stanford.nlp.tagger.maxent
 
ExtractorAllTaggerOutputs() - Constructor for class edu.stanford.nlp.tagger.maxent.ExtractorAllTaggerOutputs
 
ExtractorFollowing2WClass - Class in edu.stanford.nlp.tagger.maxent
 
ExtractorFollowing2WClass() - Constructor for class edu.stanford.nlp.tagger.maxent.ExtractorFollowing2WClass
 
ExtractorFollowingWClass - Class in edu.stanford.nlp.tagger.maxent
 
ExtractorFollowingWClass(int) - Constructor for class edu.stanford.nlp.tagger.maxent.ExtractorFollowingWClass
 
ExtractorFrames - Class in edu.stanford.nlp.tagger.maxent
The static eFrames contains an array of all Extractors that are used to define features.
ExtractorFramesRare - Class in edu.stanford.nlp.tagger.maxent
Maintains an array of ExtractorFrames for rare words.
ExtractorFramesRare() - Constructor for class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
ExtractorLastVerb - Class in edu.stanford.nlp.tagger.maxent
 
ExtractorLastVerb() - Constructor for class edu.stanford.nlp.tagger.maxent.ExtractorLastVerb
 
ExtractorLastVerb(int) - Constructor for class edu.stanford.nlp.tagger.maxent.ExtractorLastVerb
 
ExtractorLVdist - Class in edu.stanford.nlp.tagger.maxent
 
ExtractorLVdist() - Constructor for class edu.stanford.nlp.tagger.maxent.ExtractorLVdist
 
ExtractorMorpho - Class in edu.stanford.nlp.tagger.maxent
 
ExtractorMorpho(int, int) - Constructor for class edu.stanford.nlp.tagger.maxent.ExtractorMorpho
 
ExtractorMorpho(int, int, int) - Constructor for class edu.stanford.nlp.tagger.maxent.ExtractorMorpho
 
ExtractorOutputTag - Class in edu.stanford.nlp.tagger.maxent
 
ExtractorOutputTag(int, int) - Constructor for class edu.stanford.nlp.tagger.maxent.ExtractorOutputTag
 
ExtractorParticles - Class in edu.stanford.nlp.tagger.maxent
 
ExtractorParticles() - Constructor for class edu.stanford.nlp.tagger.maxent.ExtractorParticles
 
ExtractorParticlesChris - Class in edu.stanford.nlp.tagger.maxent
A class that detects and provides features for common verb particle pairs.
ExtractorParticlesChris() - Constructor for class edu.stanford.nlp.tagger.maxent.ExtractorParticlesChris
 
ExtractorParticlesChris(int) - Constructor for class edu.stanford.nlp.tagger.maxent.ExtractorParticlesChris
 
Extractors - Class in edu.stanford.nlp.tagger.maxent
 
Extractors() - Constructor for class edu.stanford.nlp.tagger.maxent.Extractors
 
Extractors(int) - Constructor for class edu.stanford.nlp.tagger.maxent.Extractors
 

F

factory() - Static method in class edu.stanford.nlp.ling.StringLabel
Return a factory for this kind of label.
factory() - Static method in class edu.stanford.nlp.ling.TaggedWord
Return a factory for this kind of label.
factory() - Static method in class edu.stanford.nlp.ling.Word
Return a factory for this kind of label.
factory() - Static method in class edu.stanford.nlp.ling.WordTag
Return a factory for this kind of label.
factory() - Static method in class edu.stanford.nlp.process.PTBTokenizer
 
factory() - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
 
factory(boolean) - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
 
Feature - Class in edu.stanford.nlp.maxent
This class is used as a base class for TaggerFeature for the tagging problem and for BinaryFeature for the general problem with binary features.
Feature() - Constructor for class edu.stanford.nlp.maxent.Feature
 
Feature(Experiments, double[], Index) - Constructor for class edu.stanford.nlp.maxent.Feature
This is if we are given an array of double with a value for each training sample in the order of their occurence.
Feature(Experiments, double[][], Index) - Constructor for class edu.stanford.nlp.maxent.Feature
 
Feature(Experiments, int, Index) - Constructor for class edu.stanford.nlp.maxent.Feature
 
Feature(Experiments, int[], double[], Index) - Constructor for class edu.stanford.nlp.maxent.Feature
 
FeatureKey - Class in edu.stanford.nlp.tagger.maxent
Stores a triple of an extractor ID, a feature value (derived from history) and a y (tag) value.
FeatureKey() - Constructor for class edu.stanford.nlp.tagger.maxent.FeatureKey
 
FeatureKey(int, String, String) - Constructor for class edu.stanford.nlp.tagger.maxent.FeatureKey
 
Features - Class in edu.stanford.nlp.maxent
An ArrayList of Feature
Features() - Constructor for class edu.stanford.nlp.maxent.Features
 
Features(String, Experiments) - Constructor for class edu.stanford.nlp.maxent.Features
reads in the features from a file, having already read the experiments
Featurizable - Interface in edu.stanford.nlp.ling
Interface for Objects that can be described by their features.
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.
Filter<T> - Interface in edu.stanford.nlp.util
Filter is an interface for predicate objects which respond to the accept method.
find(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
Say whether this regular expression can be found inside this String.
first - Variable in class edu.stanford.nlp.util.Pair
Direct access is deprecated.
first() - Method in class edu.stanford.nlp.util.Pair
 
firstTaggern2Tags - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
firstTaggernTag - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
firstTaggerOutput - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
fixedFnumXY - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
This flag is true if all (x,y) have the same f# in which case the newton equation solving is avoided
fixQuotes - Variable in class edu.stanford.nlp.process.PTBEscapingProcessor
 
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
 
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
 
fnum(int, int) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
 
fnumArr - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
This contains the number of features active for each pair (x,y)
fSize - Variable in class edu.stanford.nlp.maxent.Problem
 
ftilde() - Method in class edu.stanford.nlp.maxent.Feature
 
ftilde() - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
 
ftildeArr - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
This is an array of empirical expectations for the features
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.
functions - Variable in class edu.stanford.nlp.maxent.Problem
These are the features.

G

GainCompute(Feature, double) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Computes the gain from a feature.
GenericCounter<E> - Interface in edu.stanford.nlp.stats
Interface to a generic (type-independent) Counter.
get(int) - Method in class edu.stanford.nlp.maxent.Experiments
 
get(int) - Method in class edu.stanford.nlp.maxent.Features
 
get(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
get(int) - Method in class edu.stanford.nlp.tagger.maxent.ReadDataTagged
 
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
 
getAmbClass(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
getArch() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
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.
getClass(String) - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClasses
 
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(E) - Method in interface edu.stanford.nlp.stats.GenericCounter
Returns the count for this key as a double.
getCount(String, String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
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.
getCountIn() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
getCountIn(String) - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
getCountIn(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
getCountPart() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
getCountPart(String) - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
getCountPart(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
getCountRB() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
getCountRB(String) - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
getCountRB(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
getCountThat() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
getCountThat(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
getDebug() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getDebugPrefix() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getDerivatives() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
assuming we have the lambdas in the array and we need only the derivatives now.
getDerivativesExpectedValue() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
assuming we have the probConds[x][y] , compute the derivatives for the expectedValue function
getDerivativesLossDomination() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
using the arrays calculated when computing the loss, it should not be too hard to get the derivatives
getDerivativesNeg() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
assuming we have the lambdas in the array and we need only the derivatives now.
getDict() - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
getEncoding() - Static method in class edu.stanford.nlp.maxent.Convert
 
getFactory(String) - 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.
getFeaturesNew() - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
getFile() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getFirstTag(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
getHasWord(int) - Method in class edu.stanford.nlp.ling.Sentence
Return the Word at the given index.
getHistories(History) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
getHistory() - Method in class edu.stanford.nlp.tagger.maxent.DataWordTag
 
getHistory(int) - Method in class edu.stanford.nlp.tagger.maxent.HistoryTable
 
getIndex(History) - Method in class edu.stanford.nlp.tagger.maxent.HistoryTable
 
getIndex(String) - Method in class edu.stanford.nlp.tagger.maxent.TTags
 
getIndexed() - Method in class edu.stanford.nlp.maxent.BinaryFeature
Convert the setValues into an array of indexes of non-zero pairs indexedValues.
getIndexes(Object) - Method in class edu.stanford.nlp.tagger.maxent.PairsHolder
 
getIntTuple(int) - Static method in class edu.stanford.nlp.util.IntTuple
 
getIntTuple(ArrayList) - Static method in class edu.stanford.nlp.util.IntTuple
 
getIterations() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getIterator(Reader) - Method in interface edu.stanford.nlp.objectbank.IteratorFromReaderFactory
 
getIterator(Reader) - Method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
 
getKeepOriginalText() - Method in class edu.stanford.nlp.ling.DocumentReader
Returns whether created documents will store their source text along with tokenized words.
getLambdaSolve() - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
 
getLang() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
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.
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.
getMethod() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getMiddle() - Method in class edu.stanford.nlp.util.IntQuadruple
 
getMiddle() - Method in class edu.stanford.nlp.util.IntTriple
 
getModel() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getNext() - Method in class edu.stanford.nlp.process.AbstractTokenizer
Internally fetches the next token.
getNext() - Method in class edu.stanford.nlp.process.PTBTokenizer
Internally fetches the next token.
getNext() - Method in class edu.stanford.nlp.process.WhitespaceTokenizer
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.
getNum(Object) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
 
getNum(Object, HashMap) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
 
getNumber() - Method in class edu.stanford.nlp.maxent.Experiments
 
getOpenTags() - Method in class edu.stanford.nlp.tagger.maxent.TTags
 
getPositions(FeatureKey) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
 
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;
getPossibleValues(int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
getProbs() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
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.
getScores(History) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
this scores the current assignment in PairsHolder current position h.current
getSentencesFromHTML(String) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
 
getSentencesFromHTML(Reader) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
 
getSentencesFromText(String) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
Reads the file and outputs a list of sentences.
getSentencesFromText(String, boolean, String, int) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
 
getSentencesFromText(Reader) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
 
getSentencesFromText(String, Function<List<HasWord>, List<HasWord>>, String, int) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
Produce a list of sentences from text.
getSentencesFromText(Reader, Function<List<HasWord>, List<HasWord>>, String, int) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
Produce a list of sentences from a reader.
getSentencesFromXML(String, String) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
Returns a list of sentences contained in an XML file, occuring between the begin and end of a selected tag.
getSentencesFromXML(String, String, boolean) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
Returns a list of sentences contained in an XML file, occuring between the begin and end of a selected tag.
getSentencesFromXML(Reader, String, boolean) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
Returns a list of sentences contained in an XML file, occuring between the begin and end of a selected tag.
getShortClassName(Object) - Static method in class edu.stanford.nlp.util.StringUtils
Returns a short class name for an object.
getSize() - Method in class edu.stanford.nlp.tagger.maxent.Extractors
 
getSize() - Method in class edu.stanford.nlp.tagger.maxent.PairsHolder
 
getSize() - Method in class edu.stanford.nlp.tagger.maxent.ReadDataTagged
 
getSize() - Method in class edu.stanford.nlp.tagger.maxent.TTags
 
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
 
getTag(int, int) - Method in class edu.stanford.nlp.tagger.maxent.CollectionTaggerOutputs
 
getTag() - Method in class edu.stanford.nlp.tagger.maxent.OutputTags
 
getTag(int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerOutputHolder
 
getTag(int) - Method in class edu.stanford.nlp.tagger.maxent.TTags
 
getTaggedNice() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
getTagret2() - Method in class edu.stanford.nlp.util.IntQuadruple
 
getTags(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
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
 
getTokenize() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getTokenizer(Reader) - Method in interface edu.stanford.nlp.objectbank.TokenizerFactory
 
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.
getTokenizerFactory() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getVal(int) - Method in class edu.stanford.nlp.maxent.BinaryFeature
 
getVal(int, int) - Method in class edu.stanford.nlp.maxent.BinaryFeature
This does sequential search in indexedValues.
getVal(int) - Method in class edu.stanford.nlp.maxent.Feature
Get the value at the index-ed non zero value pair (x,y)
getVal(int, int) - Method in class edu.stanford.nlp.maxent.Feature
This is rarely used because it is slower and requires initHashVals() to be called beforehand to initiallize the hashValues
getVal(int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
 
getVal(int, int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
 
getValues() - Method in class edu.stanford.nlp.maxent.BinaryFeature
 
getWord() - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClass
 
getWord() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
getWordsFromHTML(String) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
 
getWordsFromHTML(Reader) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
 
getWordsFromString(String) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
Gets a list of words from a string.
getWordsFromText(String) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
Reads the file into a single list of words.
getWordsFromText(Reader) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
 
getX() - Method in class edu.stanford.nlp.maxent.DataGeneric
 
getX(int) - Method in class edu.stanford.nlp.maxent.Feature
 
getX() - Method in class edu.stanford.nlp.tagger.maxent.DataWordTag
 
getX(int) - Method in class edu.stanford.nlp.tagger.maxent.DataWordTag
 
getX(int) - Method in class edu.stanford.nlp.tagger.maxent.History
 
getX(int, PairsHolder) - Method in class edu.stanford.nlp.tagger.maxent.History
 
getX() - Method in class edu.stanford.nlp.tagger.maxent.History
 
getX(PairsHolder) - Method in class edu.stanford.nlp.tagger.maxent.History
 
getX(int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
 
getXValues(Object) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
 
getY() - Method in class edu.stanford.nlp.maxent.DataGeneric
 
getY(int) - Method in class edu.stanford.nlp.maxent.Feature
 
getY() - Method in class edu.stanford.nlp.tagger.maxent.DataWordTag
 
getY(int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
getY(int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
 
getYInd() - Method in class edu.stanford.nlp.tagger.maxent.DataWordTag
 
getYTag() - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
 
GlobalHolder - Class in edu.stanford.nlp.tagger.maxent
Title: StanfordMaxEnt package.
GlobalHolder() - Constructor for class edu.stanford.nlp.tagger.maxent.GlobalHolder
 

H

handleEndTag(HTML.Tag, int) - Method in class edu.stanford.nlp.web.HTMLParser
Sets a flag if the end tag is the "TITLE" element end tag
handleStartTag(HTML.Tag, MutableAttributeSet, int) - Method in class edu.stanford.nlp.web.HTMLParser
Sets a flag if the start tag is the "TITLE" element start tag.
handleText(char[], int) - Method in class edu.stanford.nlp.web.HTMLParser
 
HASH_MAP_FACTORY - Static variable in class edu.stanford.nlp.util.MapFactory
 
hashCode() - Method in class edu.stanford.nlp.ling.ValueLabel
Return the hashCode of the String value providing there is one.
hashCode() - Method in class edu.stanford.nlp.ling.WordTag
 
hashCode() - Method in class edu.stanford.nlp.stats.Counter
 
hashCode() - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClass
 
hashCode() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
hashCode() - Method in class edu.stanford.nlp.tagger.maxent.FeatureKey
 
hashCode() - Method in class edu.stanford.nlp.tagger.maxent.History
 
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.Pair
 
hashCodeCache - Variable in class edu.stanford.nlp.util.ArrayMap
 
hashHistories() - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
hashHistories(TemplateHash, int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
hashValues - Variable in class edu.stanford.nlp.maxent.Feature
 
hasInfinite(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
hasNaN(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
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
 
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.
History - Class in edu.stanford.nlp.tagger.maxent
 
History() - Constructor for class edu.stanford.nlp.tagger.maxent.History
 
History(int, int, int) - Constructor for class edu.stanford.nlp.tagger.maxent.History
 
HistoryTable - Class in edu.stanford.nlp.tagger.maxent
 
HistoryTable() - Constructor for class edu.stanford.nlp.tagger.maxent.HistoryTable
 
HistoryTable(int) - Constructor for class edu.stanford.nlp.tagger.maxent.HistoryTable
 
hPos - Static variable in class edu.stanford.nlp.tagger.maxent.TestSentence
 
HTMLParser - Class in edu.stanford.nlp.web
Parses an HTML document and returns the plain text (and title).
HTMLParser() - Constructor for class edu.stanford.nlp.web.HTMLParser
 
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
 
ImprovedIterative() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Iterate until convergence.
ImprovedIterative(int) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Does a fixed number of IIS iterations.
in - Variable in class edu.stanford.nlp.ling.DocumentReader
Reader used to read in document text.
incIn(String) - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
incPart() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
incPart(String) - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
incRB(String) - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
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.
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.
incThat() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
InDataStreamFile - Class in edu.stanford.nlp.io
 
InDataStreamFile(String) - Constructor for class edu.stanford.nlp.io.InDataStreamFile
 
InDataStreamFile(File) - Constructor for class edu.stanford.nlp.io.InDataStreamFile
 
InDataStreamFile(URL) - Constructor for class edu.stanford.nlp.io.InDataStreamFile
 
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.
indexedValues - Variable in class edu.stanford.nlp.maxent.Feature
This will contain the (x,y) pairs for which the feature is non-zero in case it is sparse.
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.
indices(List<E>) - Method in class edu.stanford.nlp.util.Index
Returns the index of each elem in an array.
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() - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClass
 
init() - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClasses
 
init(Extractor[]) - Method in class edu.stanford.nlp.tagger.maxent.Extractors
set the extractors from an array
init() - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
 
init(String, String) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
 
init() - Method in class edu.stanford.nlp.tagger.maxent.History
 
init(String) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
Initializer that loads the dictionary.
init() - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
 
init() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
init1() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
initHashVals() - Method in class edu.stanford.nlp.maxent.Feature
Creates a hashmap with keys pairs (x,y) and values the value of the function at the pair; required for use of getVal(x,y)
initHistory() - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
initHistoryNew() - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
initTemplates() - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
initTemplatesNew() - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
innerProduct(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
innerProduct(float[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
instanceIndex - Variable in class edu.stanford.nlp.maxent.Feature
 
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
 
internedStringPair(String, String) - Static method in class edu.stanford.nlp.util.Pair
Returns an InternedPair where the Strings have been interned.
intersect(int[], int[]) - Static method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
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
 
isBody - Variable in class edu.stanford.nlp.web.HTMLParser
 
isBreaking(String) - Static method in class edu.stanford.nlp.util.XMLUtils
 
isBreaking(XMLUtils.XMLTag) - Static method in class edu.stanford.nlp.util.XMLUtils
 
isClosed(String) - Method in class edu.stanford.nlp.tagger.maxent.TTags
 
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.maxent.BinaryFeature
 
isEmpty() - Method in class edu.stanford.nlp.maxent.Feature
 
isEmpty() - Method in class edu.stanford.nlp.stats.Counter
 
isEmpty() - Method in class edu.stanford.nlp.util.ArrayMap
 
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.
isPartikleTakingVerb(String, String) - Method in class edu.stanford.nlp.tagger.maxent.ExtractorParticlesChris
 
isPopulated(TaggerFeature) - Method in class edu.stanford.nlp.tagger.maxent.Extractor
 
isPopulated(BinaryFeature) - Method in class edu.stanford.nlp.tagger.maxent.ExtractorMorpho
 
isRare(String) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
 
isScript - Variable in class edu.stanford.nlp.web.HTMLParser
 
isSingleTag - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
 
isTag - Static variable in class edu.stanford.nlp.tagger.maxent.TestSentence
 
isTitle - Variable in class edu.stanford.nlp.web.HTMLParser
 
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.
iterate(String) - Static method in class edu.stanford.nlp.tagger.maxent.TestClassifier
 
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

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.

K

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.
keysAt(double) - Method in class edu.stanford.nlp.stats.Counter
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.
keySet() - Method in class edu.stanford.nlp.stats.Counter
 
keySet() - Method in interface edu.stanford.nlp.stats.GenericCounter
Returns the Set of keys in this counter.
klDivergence(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
known(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
known(String) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 

L

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 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 descendent class.
labelFactory() - Method in class edu.stanford.nlp.ling.StringLabel
Return a factory for this kind of label (i.e., StringLabel).
labelFactory() - Method in class edu.stanford.nlp.ling.TaggedWord
Return a factory for this kind of label (i.e., TaggedWord).
labelFactory() - Method in class edu.stanford.nlp.ling.ValueLabel
Returns a factory that makes Labels of the appropriate sort.
labelFactory() - Method in class edu.stanford.nlp.ling.Word
Return a factory for this kind of label (i.e., Word).
labelFactory() - Method in class edu.stanford.nlp.ling.WordTag
Return a factory for this kind of label (i.e., TaggedWord).
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.
lambda - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
These are the model parameters that have to be learned
lambda_converged - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
 
LambdaSolve - Class in edu.stanford.nlp.maxent.iis
This is the main class that does the core computation in IIS.
LambdaSolve(Problem, double, double) - Constructor for class edu.stanford.nlp.maxent.iis.LambdaSolve
 
LambdaSolve(String) - Constructor for class edu.stanford.nlp.maxent.iis.LambdaSolve
reads the prameters from a file
LambdaSolve() - Constructor for class edu.stanford.nlp.maxent.iis.LambdaSolve
 
LambdaSolveTagger - Class in edu.stanford.nlp.tagger.maxent
This module does the working out of lambda parameters for binary tagger features.
lastVerb - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
lastVerbDist - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
lastVerbPT - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
lastVerbThat - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
lastVerbVB - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
lastVerbVBN - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
leftContext() - Method in class edu.stanford.nlp.tagger.maxent.Extractor
 
leftContext() - Method in class edu.stanford.nlp.tagger.maxent.Extractors
 
leftWindow() - Method in interface edu.stanford.nlp.sequences.SequenceModel
How many positions to the left a position is dependent on.
leftWindow() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
len() - Method in class edu.stanford.nlp.maxent.Feature
 
len() - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
 
length() - Method in class edu.stanford.nlp.ling.Sentence
A convenience method since we normally say sentences have a length.
length() - Method in interface edu.stanford.nlp.sequences.SequenceModel
 
length() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
Implementation of the TagScorer interface follows
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.
ListProcessor - 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
 
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.
logInPlace(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
logLikelihood() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
 
logLikelihoodNeg() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
calculate the log-likelihood from scratch, hashing the conditional probabilities in pcond, which we will use later this is for a different model, in which all features effectively get negative weights this model is easier to use for heauristic search p(ti|s)=exp(sum_j{-(e^lambda_j)*f_j(ti)})
logLikelihoodScratch() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
calculate the log likelihood from scratch, hashing the conditional probabilities in pcond which we will use for the derivative later.
logNormalize(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Makes the values in this array sum to 1.0.
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(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.
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
 
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.
lossDomination() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
calculate the loss for Dom ranking using the numbers in p.data.values to determine domination relationships in the graphs if values[x][y]> values[x][y'] then there is an edge (x,y)->(x,y')

M

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.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.maxent.Experiments
 
main(String[]) - Static method in class edu.stanford.nlp.maxent.iis.LambdaSolve
With arguments, this will print out the lambda parameters of a bunch of .lam files (which are assumed to all be the same size).
main(String[]) - Static method in class edu.stanford.nlp.maxent.Problem
 
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.DocumentPreprocessor
This provides a simple test method for DocumentPreprocessor.
main(String[]) - Static method in class edu.stanford.nlp.process.PTBEscapingProcessor
This will do the escaping on an input file.
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.WhitespaceTokenizer
Reads a file from the argument and prints its tokens one per line.
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.process.WordToTaggedWordProcessor
This will print out some text, recognizing tags.
main(String[]) - Static method in class edu.stanford.nlp.sequences.ExactBestSequenceFinder
 
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.tagger.maxent.DataWordTag
 
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.Extractors
Prints out the pair of Extractors objects found in the file that is the first and only argument.
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.HistoryTable
 
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
Command-line tagger that takes input from stdin or a file.
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.PairsHolder
 
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.ReadDataTagged
 
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.TemplateHash
 
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.Test
 
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.TestSentence
Tags a test sentence.
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.Train
 
main(String[]) - Static method in class edu.stanford.nlp.util.Index
 
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
 
main(String[]) - Static method in class edu.stanford.nlp.web.HTMLParser
 
makeHTMLTable(String[][], String[], String[]) - Static method in class edu.stanford.nlp.util.StringUtils
Returns an HTML table containing the matrix of Strings passed in.
makeStringMap() - Static method in class edu.stanford.nlp.process.PTBEscapingProcessor
 
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
 
MapFactory - Class in edu.stanford.nlp.util
A factory class for vending different sorts of Maps.
MapFactory() - Constructor for class edu.stanford.nlp.util.MapFactory
 
markClosed(String) - Method in class edu.stanford.nlp.tagger.maxent.TTags
 
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.
MaxentTagger - Class in edu.stanford.nlp.tagger.maxent
A class for end users to part of speech tag text using an already trained and saved maxent tagger.
MaxentTagger() - Constructor for class edu.stanford.nlp.tagger.maxent.MaxentTagger
Non-static version of the tagger for the Function interface.
MaxentTagger(String) - Constructor for class edu.stanford.nlp.tagger.maxent.MaxentTagger
Constructor from a fileName.
maxSize - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
maxY - Variable in class edu.stanford.nlp.maxent.Experiments
 
mean(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
mikeKnown - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
 
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.
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[]) - 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.
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
 
multiplyInPlace(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
Scales in place the values in this array by c.
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
 

N

naClass - Static variable in class edu.stanford.nlp.tagger.maxent.AmbiguityClass
 
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.
newLabel(String) - Method in interface edu.stanford.nlp.ling.LabelFactory
Make a new label with this String as the value.
newLabel(String, int) - Method in interface edu.stanford.nlp.ling.LabelFactory
Make a new label with this String as the value, and the type determined in an implementation-dependent way from the options value.
newLabel(Label) - Method in interface edu.stanford.nlp.ling.LabelFactory
Create a new Label, where the label is formed from the Label object passed in.
newLabel(String) - Method in class edu.stanford.nlp.ling.StringLabelFactory
Make a new label with this String as the "name".
newLabel(String, int) - Method in class edu.stanford.nlp.ling.StringLabelFactory
Make a new label with this String as the "name".
newLabel(Label) - Method in class edu.stanford.nlp.ling.StringLabelFactory
Create a new StringLabel, where the label is formed from the Label object passed in.
newLabel(String) - Method in class edu.stanford.nlp.ling.TaggedWordFactory
Make a new label with this String as the value (word).
newLabel(String, int) - Method in class edu.stanford.nlp.ling.TaggedWordFactory
Make a new label with this String as a value component.
newLabel(Label) - Method in class edu.stanford.nlp.ling.TaggedWordFactory
Create a new TaggedWord Label, where the label is formed from the Label object passed in.
newLabel(String) - Method in class edu.stanford.nlp.ling.WordFactory
Create a new word, where the label is formed from the String passed in.
newLabel(String, int) - Method in class edu.stanford.nlp.ling.WordFactory
Create a new word, where the label is formed from the String passed in.
newLabel(Label) - Method in class edu.stanford.nlp.ling.WordFactory
Create a new Word Label, where the label is formed from the Label object passed in.
newLabel(String) - Method in class edu.stanford.nlp.ling.WordTagFactory
Make a new label with this String as the value (word).
newLabel(String, int) - Method in class edu.stanford.nlp.ling.WordTagFactory
Make a new label with this String as a value component.
newLabel(Label) - Method in class edu.stanford.nlp.ling.WordTagFactory
Create a new WordTag Label, where the label is formed from the Label object passed in.
newLabelFromString(String) - Method in interface edu.stanford.nlp.ling.LabelFactory
Make a new label.
newLabelFromString(String) - Method in class edu.stanford.nlp.ling.StringLabelFactory
Make a new label with this String as the "name".
newLabelFromString(String) - Method in class edu.stanford.nlp.ling.TaggedWordFactory
Create a new word, where the label is formed from the String passed in.
newLabelFromString(String) - Method in class edu.stanford.nlp.ling.WordFactory
Create a new word, where the label is formed from the String passed in.
newLabelFromString(String) - Method in class edu.stanford.nlp.ling.WordTagFactory
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.
newStrings - Static variable in class edu.stanford.nlp.process.PTBEscapingProcessor
 
newtonerr - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
 
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
 
next2WordClass - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
nextNextWordClass - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
nextNNC - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
nextTag - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
nextTagWord - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
nextThreeTags - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
nextToken - Variable in class edu.stanford.nlp.process.AbstractTokenizer
 
nextTwoTags - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
nextWord - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
nextWordClass - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
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
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() - 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.
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.
number - Static variable in class edu.stanford.nlp.maxent.Experiments
number is the number of Experiments
numRight - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
 
nums - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
numWrong - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
 
numY(int) - Method in class edu.stanford.nlp.maxent.Experiments
 

O

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.
oldChars - Variable in class edu.stanford.nlp.process.PTBEscapingProcessor
 
oldStrings - Static variable in class edu.stanford.nlp.process.PTBEscapingProcessor
 
oneTailedFishersExact(int, int, int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
Find a one-tailed Fisher's exact probability.
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.
OutDataStreamFile - Class in edu.stanford.nlp.io
 
OutDataStreamFile(String) - Constructor for class edu.stanford.nlp.io.OutDataStreamFile
 
OutDataStreamFile(File) - Constructor for class edu.stanford.nlp.io.OutDataStreamFile
 
OutputTags - Class in edu.stanford.nlp.tagger.maxent
 
OutputTags() - Constructor for class edu.stanford.nlp.tagger.maxent.OutputTags
 
OutputTags(String, boolean) - Constructor for class edu.stanford.nlp.tagger.maxent.OutputTags
 

P

p - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
 
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 with spaces.
pad(Object, int) - Static method in class edu.stanford.nlp.util.StringUtils
Pads the toString value of the given Object.
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
 
PairsHolder - Class in edu.stanford.nlp.tagger.maxent
 
PairsHolder() - Constructor for class edu.stanford.nlp.tagger.maxent.PairsHolder
 
pairwiseAdd(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.
parse(String) - Method in class edu.stanford.nlp.ling.BasicDocument
Tokenizes the given text to populate the list of words this Document represents.
parse(URL) - Method in class edu.stanford.nlp.web.HTMLParser
 
parse(Reader) - Method in class edu.stanford.nlp.web.HTMLParser
 
parse(String) - Method in class edu.stanford.nlp.web.HTMLParser
The parse method that actually does the work.
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.XMLBeginEndIterator
 
parseTag(String) - Static method in class edu.stanford.nlp.util.XMLUtils
 
pcond(int, int) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
 
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.
populated(int, int) - Static method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
pow(float[], float) - Static method in class edu.stanford.nlp.math.ArrayMath
Scales the values in this array by c.
pow(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
Scales the values in this array by c.
powInPlace(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
Scales the values in this array by c.
Precondition(String) - Method in class edu.stanford.nlp.tagger.maxent.Extractor
 
Precondition(String) - Method in class edu.stanford.nlp.tagger.maxent.ExtractorAllTaggerOutputs
 
Precondition(String) - Method in class edu.stanford.nlp.tagger.maxent.ExtractorFollowing2WClass
 
Precondition(String) - Method in class edu.stanford.nlp.tagger.maxent.ExtractorFollowingWClass
 
Precondition(String) - Method in class edu.stanford.nlp.tagger.maxent.ExtractorLastVerb
 
Precondition(String) - Method in class edu.stanford.nlp.tagger.maxent.ExtractorOutputTag
 
Precondition(String) - Method in class edu.stanford.nlp.tagger.maxent.ExtractorParticles
 
Precondition(String) - Method in class edu.stanford.nlp.tagger.maxent.ExtractorParticlesChris
 
presentableText() - Method in class edu.stanford.nlp.ling.BasicDocument
Returns a "pretty" version of the words in this Document suitable for display.
prevNextTag - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
prevNextTagWord - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
prevTag - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
prevTagWord - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
prevThreeTags - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
prevTwoTags - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
prevWord - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
print() - Method in class edu.stanford.nlp.maxent.BinaryFeature
Print put the pairs for which the feature is true
print() - Method in class edu.stanford.nlp.maxent.Experiments
 
print(PrintFile) - Method in class edu.stanford.nlp.maxent.Experiments
 
print() - Method in class edu.stanford.nlp.maxent.Feature
Prints out the points where the feature is non-zero and the values at these points.
print(PrintStream) - Method in class edu.stanford.nlp.maxent.Feature
 
print() - Method in class edu.stanford.nlp.maxent.Features
 
print() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Print out p(y|x) for all pairs to the standard output.
print() - Method in class edu.stanford.nlp.maxent.Problem
 
print(String) - Method in class edu.stanford.nlp.maxent.Problem
 
print() - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClass
 
print() - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClasses
 
print() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
print() - Method in class edu.stanford.nlp.tagger.maxent.History
 
print() - Method in class edu.stanford.nlp.tagger.maxent.PairsHolder
 
print() - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
 
print() - Method in class edu.stanford.nlp.util.IntTuple
 
printActivations(History) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
print out the unknown word feature values of the features in ExtractorFramesRare
printAmbiguous() - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
PrintFile - Class in edu.stanford.nlp.io
Shorthand class for opening an output file for human-readable output.
PrintFile(String) - Constructor for class edu.stanford.nlp.io.PrintFile
 
PrintFile(File) - Constructor for class edu.stanford.nlp.io.PrintFile
 
printProbs() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
printSent() - Method in class edu.stanford.nlp.tagger.maxent.History
 
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.
printTop(PrintFile) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
This method should be called after the sentence has been tagged.
printUnknown(int, PrintFile) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
This method should be called after the sentence has been tagged.
prob - Static variable in class edu.stanford.nlp.tagger.maxent.TestSentence
 
probConds - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
Conditional probabilities.
Problem - Class in edu.stanford.nlp.maxent
This is a general class for Problem to be solved by the MaxEnt toolkit.
Problem(Experiments, Features) - Constructor for class edu.stanford.nlp.maxent.Problem
 
Problem() - Constructor for class edu.stanford.nlp.maxent.Problem
 
process(List) - 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.PTBEscapingProcessor
 
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.
process(List) - Method in class edu.stanford.nlp.process.WordToTaggedWordProcessor
Returns a new Document where each Word with a tag has been converted to a TaggedWord.
process(List) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
Tags the Words in each Sentence in the given List with their grammatical part-of-speech.
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.
processLists(List<List>) - 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.
processSentence(Sentence) - Method in interface edu.stanford.nlp.ling.SentenceProcessor
Does whatever one needs to do to a particular sentence.
processSentence(Sentence) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
Returns a new Sentence that is a copy of the given sentence with all the words tagged with their part-of-speech.
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.
PTBEscapingProcessor - Class in edu.stanford.nlp.process
Produces a new Document of Words in which special characters of the PTB have been properly escaped.
PTBEscapingProcessor() - Constructor for class edu.stanford.nlp.process.PTBEscapingProcessor
 
PTBEscapingProcessor(Map, char[], boolean) - Constructor for class edu.stanford.nlp.process.PTBEscapingProcessor
 
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.
ptilde() - Method in class edu.stanford.nlp.maxent.Experiments
 
ptilde(int) - Method in class edu.stanford.nlp.maxent.Experiments
 
ptildeX(int) - Method in class edu.stanford.nlp.maxent.Experiments
 
ptildeXY(int, int) - Method in class edu.stanford.nlp.maxent.Experiments
 
ptildeY(int) - Method in class edu.stanford.nlp.maxent.Experiments
 
put(History) - Method in class edu.stanford.nlp.tagger.maxent.HistoryTable
 
put(K, V) - Method in class edu.stanford.nlp.util.ArrayMap
 
putAssoc(FeatureKey, int) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
 
px - Variable in class edu.stanford.nlp.maxent.Experiments
px[x] holds the number of times the history x appeared in training data py[y] holds the number of times the outcome y appeared in training data
pxy - Static variable in class edu.stanford.nlp.maxent.Experiments
pxy[x][y]=# times (x,y) occurred in training
py - Variable in class edu.stanford.nlp.maxent.Experiments
 

Q

QNMinimizer - Class in edu.stanford.nlp.optimization
Limited-Memory Quasi-Newton BFGS implementation based on the algorithms in Jorge Norcedal's Numerical Optimization book (pg 224+) As of now, it requires a differentiable function (DiffFunction) as input.
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
 

R

read(DataInputStream) - Method in class edu.stanford.nlp.ling.WordTag
 
read(String) - Method in class edu.stanford.nlp.maxent.Experiments
 
read(InDataStreamFile) - Method in class edu.stanford.nlp.maxent.Feature
 
read(String) - Method in class edu.stanford.nlp.maxent.Features
 
read(String) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Read the model parameters from a file ( only the lambdas )
read(String) - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClasses
 
read(InDataStreamFile) - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
read(InDataStreamFile) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
read(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
read(String) - Method in class edu.stanford.nlp.tagger.maxent.Extractors
 
read(InDataStreamFile) - Method in class edu.stanford.nlp.tagger.maxent.FeatureKey
 
read(String) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
 
read(InDataStreamFile) - Method in class edu.stanford.nlp.tagger.maxent.History
 
read(String) - Method in class edu.stanford.nlp.tagger.maxent.HistoryTable
 
read(String) - Method in class edu.stanford.nlp.tagger.maxent.PairsHolder
 
read(InDataStreamFile) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
 
read(String) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeatures
 
read(InDataStreamFile) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
 
read(String) - Method in class edu.stanford.nlp.tagger.maxent.TTags
 
read_lambdas(InDataStreamFile) - Static method in class edu.stanford.nlp.maxent.iis.LambdaSolve
 
read_prev(String) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
 
readAndParseTag(Reader) - Static method in class edu.stanford.nlp.util.XMLUtils
 
readAssociations(String) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
This reads the .assoc file.
ReadDataTagged - Class in edu.stanford.nlp.tagger.maxent
Reads tagged data from a file and creates a dictionary
ReadDataTagged(String) - Constructor for class edu.stanford.nlp.tagger.maxent.ReadDataTagged
 
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
 
readExtractors(String) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
read the extractors from a filename
readFloatArr(DataInputStream) - Static method in class edu.stanford.nlp.maxent.Convert
 
readL(String) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Read the lambdas from the file.
readL(InDataStreamFile) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Read the lambdas from the stream.
readNextDocumentText() - Method in class edu.stanford.nlp.ling.DocumentReader
Reads the next document's worth of text from the reader.
readOldLambdas(String, String) - Method in class edu.stanford.nlp.tagger.maxent.LambdaSolveTagger
 
readOutput(int, String, boolean) - Method in class edu.stanford.nlp.tagger.maxent.CollectionTaggerOutputs
 
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.
release() - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
release() - Method in class edu.stanford.nlp.tagger.maxent.HistoryTable
 
release() - Method in class edu.stanford.nlp.tagger.maxent.PairsHolder
 
release() - Method in class edu.stanford.nlp.tagger.maxent.ReadDataTagged
 
release() - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
 
release_mem() - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
 
reliable(int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
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(E) - Method in class edu.stanford.nlp.stats.Counter
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.Index
Removes an object from the index, if it exists (otherwise nothing happens).
removeAll(Collection<E>) - Method in class edu.stanford.nlp.stats.Counter
Removes all the given keys from this Counter.
removeLast() - Method in class edu.stanford.nlp.maxent.Features
 
removeLast() - Method in class edu.stanford.nlp.maxent.Problem
 
removeZeroCounts() - Method in class edu.stanford.nlp.stats.Counter
Removes all keys whose count is 0.
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).
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.
revert(int, int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
rightContext() - Method in class edu.stanford.nlp.tagger.maxent.Extractor
 
rightContext() - Method in class edu.stanford.nlp.tagger.maxent.Extractors
 
rightWindow() - Method in interface edu.stanford.nlp.sequences.SequenceModel
How many positions to the right a position is dependent on.
rightWindow() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
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

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.
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.
save(DataOutputStream) - Method in class edu.stanford.nlp.ling.WordTag
 
save(String) - Method in class edu.stanford.nlp.maxent.Experiments
 
save(OutDataStreamFile) - Method in class edu.stanford.nlp.maxent.Feature
 
save(String) - Method in class edu.stanford.nlp.maxent.Features
 
save(String) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Saves xSize,ySize and the lambdas to the file.
save(String) - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClasses
 
save(OutDataStreamFile) - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
save(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
save(String) - Method in class edu.stanford.nlp.tagger.maxent.Extractors
 
save(OutDataStreamFile) - Method in class edu.stanford.nlp.tagger.maxent.FeatureKey
 
save(String) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
 
save(OutDataStreamFile) - Method in class edu.stanford.nlp.tagger.maxent.History
 
save(String) - Method in class edu.stanford.nlp.tagger.maxent.HistoryTable
 
save(String) - Method in class edu.stanford.nlp.tagger.maxent.PairsHolder
 
save(OutDataStreamFile) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
 
save(String) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeatures
 
save(OutDataStreamFile) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
 
save(String) - Method in class edu.stanford.nlp.tagger.maxent.TTags
 
save(DataOutputStream) - Method in class edu.stanford.nlp.util.Pair
Write a string representation of a Pair from a DataStream.
save_after(String) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
 
save_lambdas(String) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Writes the lambdas to the file.
save_lambdas(OutDataStreamFile, double[]) - Static method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Writes the lambdas to a stream
save_param(String) - Static method in class edu.stanford.nlp.tagger.maxent.TestClassifier
This saves the parameters in a file like for the Improved Iterative.
save_prev(String) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
 
saveAssociations(String) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
 
saveDoubleArr(DataOutputStream, double[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
saveExtractors(String) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
serialize the ExtractorFrames and ExtractorFramesRare in filename
saveFloatArr(DataOutputStream, float[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
saveModel(String, String, int, String[], boolean, String, String) - Static method in class edu.stanford.nlp.tagger.maxent.TestClassifier
Reads in the training corpus from a filename and trains the tagger
scale(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
Scales the values in this array by b.
scale(float[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
Scales the values in this array by b.
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.
scoreOf(int[], int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
scoreOf(int[]) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
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.
scoresOf(int[], int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
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
 
secondTaggerOutput - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
Sentence - Class in edu.stanford.nlp.ling
Sentence holds a single sentence, and mediating 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.
SentenceProcessor - Interface in edu.stanford.nlp.ling
This is a simple interface for applying a transformer to a Sentence.
SequenceModel - Interface in edu.stanford.nlp.sequences
Class capable of scoring sequences of a fixed length, typically with a probability distribution over such sequences.
serializeReadable(String) - Method in class edu.stanford.nlp.util.Index
 
set(Extractor, int) - Method in class edu.stanford.nlp.tagger.maxent.Extractors
 
set(int, String, String) - Method in class edu.stanford.nlp.tagger.maxent.FeatureKey
 
set(int, int, int) - Method in class edu.stanford.nlp.tagger.maxent.History
 
set(int, int) - Method in class edu.stanford.nlp.util.IntTuple
 
set(double) - Method in class edu.stanford.nlp.util.MutableDouble
 
setAmbClasses() - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
This makes ambiguity classes from all words in the dictionary and remembers their classes in the TagCounts
setBinary() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
 
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.
setCounts(Collection<E>, double) - Method in class edu.stanford.nlp.stats.Counter
Sets the current count for each of the given keys.
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.
setDivider(String) - Static method in class edu.stanford.nlp.ling.WordTag
Set the String (usually just a single character) used to mark the separation between the word and the tag.
setEncoding(String) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
Set the character encoding.
setFirst(T1) - Method in class edu.stanford.nlp.util.Pair
 
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
 
setFromString(String) - Method in class edu.stanford.nlp.ling.WordTag
Sets a WordTag from decoding the String passed in.
setKeepOriginalText(boolean) - Method in class edu.stanford.nlp.ling.DocumentReader
Sets whether created documents should store their source text along with tokenized words.
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.
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.
setMaxY(int[]) - Method in class edu.stanford.nlp.maxent.Experiments
 
setNonBinary() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
 
setReader(Reader) - Method in class edu.stanford.nlp.ling.DocumentReader
Sets the reader from which to read and create documents.
setSecond(T2) - Method in class edu.stanford.nlp.util.Pair
 
setSentenceFinalPuncWords(String[]) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
 
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
 
setStaticCapitalizeTimex(boolean) - Method in class edu.stanford.nlp.process.Americanize
 
setSum() - Method in class edu.stanford.nlp.maxent.Feature
 
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
 
setTag(String) - Method in class edu.stanford.nlp.ling.WordTag
 
setTag(int, String) - Method in class edu.stanford.nlp.tagger.maxent.History
 
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.
setTokenizerFactory(TokenizerFactory) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
Sets the factory from which to produce a Tokenizer.
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(String) - Method in interface edu.stanford.nlp.ling.Label
Set the value for the label (if one is stored).
setValue(String) - Method in class edu.stanford.nlp.ling.StringLabel
Set the value for the label.
setValue(String) - Method in class edu.stanford.nlp.ling.ValueLabel
Set the value for the label (if one is stored).
setValue(String) - Method in class edu.stanford.nlp.ling.WordTag
Set the value for the label (if one is stored).
setValue(int, int, double) - Method in class edu.stanford.nlp.maxent.Feature
used to sequentially set the values of a feature -- index is the pace in the arrays ; key goes into indexedValues, and value goes into valuesI
setWord(String) - Method in interface edu.stanford.nlp.ling.HasWord
Set the word value for the label (if one is stored).
setWord(String) - Method in class edu.stanford.nlp.ling.Word
 
setWord(String) - Method in class edu.stanford.nlp.ling.WordTag
 
setWords(Collection<HasWord>) - Method in class edu.stanford.nlp.ling.Sentence
Set the Sentence to this Collection of Word's.
setX(Object[]) - Method in class edu.stanford.nlp.maxent.DataGeneric
 
setX(Object[]) - Method in class edu.stanford.nlp.tagger.maxent.DataWordTag
 
setY(String) - Method in class edu.stanford.nlp.maxent.DataGeneric
 
setY(String) - Method in class edu.stanford.nlp.tagger.maxent.DataWordTag
 
shift(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
Shifts the values in this array by b.
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
 
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
 
sigmoid(double) - Static method in class edu.stanford.nlp.math.SloppyMath
Compute the sigmoid function with mean zero.
size() - Static method in class edu.stanford.nlp.maxent.Experiments
 
size() - Method in class edu.stanford.nlp.maxent.Features
 
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 - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
size() - Method in class edu.stanford.nlp.util.ArrayMap
 
size() - Method in class edu.stanford.nlp.util.Index
Checks the number of indexed objects.
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.
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.
smooth - Static variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
 
solve() - Method in class edu.stanford.nlp.maxent.CGRunner
Solves the problem using CG.
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.
splitChar - Variable in class edu.stanford.nlp.process.WordToTaggedWordProcessor
The char that we will split on.
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.
standardErrorOfMean(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
start() - Method in class edu.stanford.nlp.util.Timing
Start timer.
startTime() - Static method in class edu.stanford.nlp.util.Timing
Start (static) timer.
stdev(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
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.
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
 
stringNums - Static variable in class edu.stanford.nlp.tagger.maxent.TemplateHash
 
stringSubs - Variable in class edu.stanford.nlp.process.PTBEscapingProcessor
 
stringTagsAt(int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
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
 
subtract(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
subtract(float[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
subtractAll(Counter<E>) - Method in class edu.stanford.nlp.stats.Counter
Subtracts the counts in the given Counter from the counts in this Counter.
sum(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
sum(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
sum(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
sum(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
sum - Variable in class edu.stanford.nlp.maxent.Feature
 
sum(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
sumSquaredError(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
sumValues() - Method in class edu.stanford.nlp.maxent.Feature
 

T

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() - Method in class edu.stanford.nlp.ling.WordTag
 
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.
TaggerConfig - Class in edu.stanford.nlp.tagger.maxent
 
TaggerConfig(String[]) - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
TaggerExperiments - Class in edu.stanford.nlp.tagger.maxent
This class represents the training samples.
TaggerExperiments() - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
TaggerExperiments(String, String[]) - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
TaggerFeature - Class in edu.stanford.nlp.tagger.maxent
Holds a Tagger Feature for the loglinear model.
TaggerFeature(int, int, FeatureKey) - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerFeature
 
TaggerFeature() - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerFeature
 
TaggerFeatures - Class in edu.stanford.nlp.tagger.maxent
This class conatins POS tagger specific features.
TaggerFeatures() - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerFeatures
 
TaggerOutputHolder - Class in edu.stanford.nlp.tagger.maxent
 
TaggerOutputHolder(boolean) - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerOutputHolder
 
TaggerOutputHolder(String, boolean) - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerOutputHolder
 
tagSentence(Sentence) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
Returns a new Sentence that is a copy of the given sentence with all the words tagged with their part-of-speech.
tagSentence(LambdaSolve, Sentence) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
tagSentenceTagScorer(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.TestSentence
tag a sentence using Dan's TagScorer interface
tagString(String) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
Tags the input string and returns the tagged version.
TemplateHash - Class in edu.stanford.nlp.tagger.maxent
 
TemplateHash() - Constructor for class edu.stanford.nlp.tagger.maxent.TemplateHash
 
Test - Class in edu.stanford.nlp.tagger.maxent
This class is used from the command line to evaluate a trained POS tagging model over test data.
Test() - Constructor for class edu.stanford.nlp.tagger.maxent.Test
 
test(int, String) - Method in class edu.stanford.nlp.tagger.maxent.TestClassifier
 
test(String) - Method in class edu.stanford.nlp.tagger.maxent.TestClassifier
Test on a file containing correct tags already
test(String) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
test1(PrintFile, Dictionary) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
TestClassifier - Class in edu.stanford.nlp.tagger.maxent
 
TestClassifier(String, String) - Constructor for class edu.stanford.nlp.tagger.maxent.TestClassifier
 
testModel(String, String, String, String[]) - Static method in class edu.stanford.nlp.tagger.maxent.TestClassifier
Test this file with the model saved in fileModel.holder.
TestSentence - Class in edu.stanford.nlp.tagger.maxent
 
TestSentence() - Constructor for class edu.stanford.nlp.tagger.maxent.TestSentence
 
TestSentence(LambdaSolve, String, PrintFile) - Constructor for class edu.stanford.nlp.tagger.maxent.TestSentence
 
TestSentence(LambdaSolve, String) - Constructor for class edu.stanford.nlp.tagger.maxent.TestSentence
 
TestSentence(LambdaSolve, String[], String[], PrintFile, Dictionary) - Constructor for class edu.stanford.nlp.tagger.maxent.TestSentence
 
TestSentence(LambdaSolve, String[], String[], String[], PrintFile, Dictionary) - Constructor for class edu.stanford.nlp.tagger.maxent.TestSentence
 
testTagInference(PrintFile, Dictionary) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
test using TagInference
text - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
 
textBuffer - Variable in class edu.stanford.nlp.web.HTMLParser
 
thirdTaggerOutput - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
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.
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.
title - Variable in class edu.stanford.nlp.web.HTMLParser
 
title() - Method in class edu.stanford.nlp.web.HTMLParser
 
toAscii(String) - Static method in class edu.stanford.nlp.util.StringUtils
 
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.
tokenizeText(Reader) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
Reads data from r, tokenizes it with the default (Penn Treebank tokenizes), and returns a List of Sentence objects, which can then be fed into tagSentence.
tokenizeText(Reader, TokenizerFactory) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
Reads data from r, tokenizes it with the given tokenizes, and returns a List of Sentence objects, which can then be fed into tagSentence.
toNice(String) - Static method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
toSecondsString() - Method in class edu.stanford.nlp.util.Timing
 
toSt(String) - Static method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
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() - Method in class edu.stanford.nlp.ling.WordTag
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.stats.Counter
 
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.tagger.maxent.AmbiguityClass
 
toString() - Method in class edu.stanford.nlp.tagger.maxent.Extractor
 
toString() - Method in class edu.stanford.nlp.tagger.maxent.Extractors
 
toString() - Method in class edu.stanford.nlp.tagger.maxent.FeatureKey
 
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.Pair
 
toString() - Method in class edu.stanford.nlp.util.Timing
 
toString() - Method in class edu.stanford.nlp.util.XMLUtils.XMLTag
 
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.
totalDoubleCount() - Method in class edu.stanford.nlp.stats.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.
Train - Class in edu.stanford.nlp.tagger.maxent
This class is used to train a POS tagger from the command line.
transformValues() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
This is a specialized procedure to change the values of parses for semantic ranking.
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
 
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.
TTags - Class in edu.stanford.nlp.tagger.maxent
This class holds the POS tags, assigns them unique ids, and knows which tags are open versus closed class.
TTags() - Constructor for class edu.stanford.nlp.tagger.maxent.TTags
 
TTags(String) - Constructor for class edu.stanford.nlp.tagger.maxent.TTags
 

U

unescapeStringForXML(String) - Static method in class edu.stanford.nlp.util.XMLUtils
 
unite(int[], int[]) - Static method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
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.
updateHistory() - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
usePTBTokenizer() - Method in class edu.stanford.nlp.process.DocumentPreprocessor
 
useWhitespaceTokenizer() - Method in class edu.stanford.nlp.process.DocumentPreprocessor
Use tokenizers which tokenize on whitespace.
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 interface edu.stanford.nlp.ling.Label
Return a String representation of just the "main" value of this label.
value() - Method in class edu.stanford.nlp.ling.StringLabel
Return the word value of the label (or null if none).
value() - Method in class edu.stanford.nlp.ling.ValueLabel
Return the value of the label (or null if none).
value() - Method in class edu.stanford.nlp.ling.WordTag
Return a String representation of just the "main" value of this label.
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.
ValueLabel - Class in edu.stanford.nlp.ling
A ValueLabel object acts as a Label with linguistic attributes.
ValueLabel() - Constructor for class edu.stanford.nlp.ling.ValueLabel
 
valueOf(String) - Static method in class edu.stanford.nlp.ling.WordTag
 
values - Variable in class edu.stanford.nlp.maxent.Experiments
The value of classification y for x used for ranknig
valuesI - Variable in class edu.stanford.nlp.maxent.Feature
These are the non-zero values we want to keep for the points in indexedValues.
variance(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
vArray - Static variable in class edu.stanford.nlp.maxent.Experiments
vArray has dimensions [numTraining][2] and holds the x and y for each training sample.

W

WEAK_HASH_MAP_FACTORY - Static variable in class edu.stanford.nlp.util.MapFactory
 
weightRanks - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
 
WhitespaceTokenizer - Class in edu.stanford.nlp.process
Simple Tokenizer implementation that tokenizes on whitespace.
WhitespaceTokenizer(Reader) - Constructor for class edu.stanford.nlp.process.WhitespaceTokenizer
Constructs a new WhitespaceTokenizer with the Reader r as its source.
WhitespaceTokenizer(Reader, boolean) - Constructor for class edu.stanford.nlp.process.WhitespaceTokenizer
Constructs a new WhitespaceTokenizer with the Reader r as its source.
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() - Method in class edu.stanford.nlp.ling.WordTag
 
WordFactory - Class in edu.stanford.nlp.ling
A WordFactory acts as a factory for creating objects of class Word.
WordFactory() - Constructor for class edu.stanford.nlp.ling.WordFactory
Creates a new WordFactory.
WordTag - Class in edu.stanford.nlp.ling
A WordTag corresponds to a tagged (e.g., for part of speech) word and is implemented with String-valued word and tag.
WordTag(String) - Constructor for class edu.stanford.nlp.ling.WordTag
 
WordTag(Label) - Constructor for class edu.stanford.nlp.ling.WordTag
 
WordTag() - Constructor for class edu.stanford.nlp.ling.WordTag
 
WordTag(String, String) - Constructor for class edu.stanford.nlp.ling.WordTag
Create a new WordTag.
WordTag(Label, Label) - Constructor for class edu.stanford.nlp.ling.WordTag
Create a new WordTag from a Label.
WordTagFactory - Class in edu.stanford.nlp.ling
A WordTagFactory acts as a factory for creating objects of class WordTag.
WordTagFactory() - Constructor for class edu.stanford.nlp.ling.WordTagFactory
Create a new WordTagFactory.
WordTagFactory(char) - Constructor for class edu.stanford.nlp.ling.WordTagFactory
Create a new WordTagFactory.
WordTokenFactory - Class in edu.stanford.nlp.process
Constructs a Word from a String.
WordTokenFactory() - Constructor for class edu.stanford.nlp.process.WordTokenFactory
 
WordToSentenceProcessor - 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
 
WordToTaggedWordProcessor - Class in edu.stanford.nlp.process
Transforms a Document of Words into a document all or partly of TaggedWords by breaking words on a tag divider character.
WordToTaggedWordProcessor() - Constructor for class edu.stanford.nlp.process.WordToTaggedWordProcessor
Create a WordToTaggedWordProcessor using the default forward slash character to split on.
WordToTaggedWordProcessor(char) - Constructor for class edu.stanford.nlp.process.WordToTaggedWordProcessor
Flexibly set the tag splitting chars.
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
 
writeProbs() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
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.
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.
xSize - Static variable in class edu.stanford.nlp.maxent.Experiments
 

Y

ySize - Static variable in class edu.stanford.nlp.maxent.Experiments
 

Z

zeroSt - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
zeroSt - Static variable in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
 
zlambda - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
Normalization factors, one for each x

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