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remove() defined to throw an
UnsupportedOperationException.AFTER_KEYAFTER_KEYStringUtils.argsToMap(java.lang.String[]).
Comparator.
PTBTokenizer.
BEFORE_KEYBEFORE_KEYnull if
none), which is stored in the map under the key CATEGORY_KEYvalue()'s lexicographic ordering.
MutableDouble objects numerically.
MutableDouble object to another object.
MutableInteger objects numerically.
MutableInteger object to another object.
Pair to another object.
List argument.
Counter, this currently returns true if the count is
explicitly 0.0 for something
Counters.this as a Counter.
Pairs
CURRENT_KEYCURRENT_KEYSequenceClassifiers.java.io package in useful
ways for our applications.System.err (without stopping timer).
List of size equal to the depth of the GeneralizedCounter, and
each value is a Double.
ValueLabels is defined in the first instance
as equality of their String value().
AbstractMapLabel implementation which defines equality
as equality of the internal map.accept method.Lists of a
prespecified length.Collection of the features
calculated for the word at the specified position in info (the list of
words) for the specified Clique.
GeneralizedCounter.getCounts(java.util.List)({o})GeneralizedCounter.getCounts(java.util.List)({o1,o2})GeneralizedCounter.getCounts(java.util.List)({o1,o2,o3})double[] array of length
depth+1, containing the conditional counts on a
depth-length list given each level of conditional
distribution from 0 to depth.
Distribution instead of using this method.
HasCategory interface
knows about categories.true if this Tokenizer has more elements.
true if and only if this Tokenizer has more elements.
HasTag interface
knows about part-of-speech tags.HasWord interface
knows about words.null if
none), which is stored in the map under the key HEAD_WORD_KEYGeneralizedCounter.depth()-dimensional key l.
GeneralizedCounter.incrementCount(java.util.List, java.lang.Object)({o}, count)INDEX_KEYLists of size
equal to the depth of the GeneralizedCounter.
Label interface can act as a
constituent, node, or word label with linguistic attributes.LabelFactory object acts as a factory for creating
objects of class Label, or some descendant class.StringLabel).
TaggedWord).
Word).
fromIndex, inclusive, and
toIndex, exclusive, of an array of numbers, which are
themselves input in log form.
List of size one less than the depth of the GeneralizedCounter, and
each value is a Counter.
java edu.stanford.nlp.process.WordShapeClassifier
[-wordShape name] string+ name is an argument to lookupShaper.
Map contained in this label.
float values.
double values.
float values.
double values.
function starting at initial, within
functionTolerance.
NER_KEYNER_KEYString as the
value.
String as the value, and
the type determined in an implementation-dependent way from the
options value.
Label, where the label is formed from
the Label object passed in.
String as the "name".
String as the "name".
StringLabel, where the label is
formed from
the Label object passed in.
String as the value (word).
String as a value component.
TaggedWord Label, where the label is
formed from
the Label object passed in.
String passed in.
String passed in.
Word Label, where the label is
formed from
the Label object passed in.
String as the "name".
String passed in.
String passed in.
Distribution
instead.
Collection.
List of indexed objects, in the order of their indices.
this as a Counter.
null for
elements outside the real list.
System.out.
PrintWriter.
List of FeatureLabels and prints the likelihood
of each possible label at each point.
List of documents and prints the likelihood
of each possible label at each point.
List of FeatureLabels and prints the likelihood
of each possible label at each point.
List of documents and prints the likelihood
of each possible label at each point.
add(), changePriority(),
removeFirst(), and getFirst() method calls.UnupportedOperationException.
System.err (without stopping timer).
System.err and restart timer.
IOException.Random number generator
Random number generator
TaggedWord from two
lists of String, one for the words, and the second for
the tags.
AFTER_KEYAFTER_KEYBEFORE_KEYBEFORE_KEYCURRENT_KEYCURRENT_KEYString
representing the
complete contents of the label.
String passed in.
INDEX_KEYNER_KEYNER_KEYSHAPE_KEYHEAD_TAG_KEYBasicDocument.parse(String).
SHAPE_KEYSloppyMath contains methods for performing basic
numeric operations.System.err and stop timer.
StringLabel object acts as a Label by containing a
single String, which it sets or returns in response to requests.StringLabel with a null content (i.e., str).
StringLabel with the given content.
StringLabel with the
value() of another label as its label.
StringLabelFactory object makes a simple
StringLabel out of a String.Processor whose process method deletes all
SGML/XML/HTML tags (tokens starting with < and ending
with >.- StripTagsProcessor() -
Constructor for class edu.stanford.nlp.process.StripTagsProcessor
- Constructs a new StripTagsProcessor that doesn't mark line breaks.
- StripTagsProcessor(boolean) -
Constructor for class edu.stanford.nlp.process.StripTagsProcessor
- Constructs a new StripTagProcessor that marks line breaks as specified.
- subArray(int[], int, int) -
Static method in class edu.stanford.nlp.math.ArrayMath
-
- subCWGaz -
Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- subtractAll(GenericCounter<E>, boolean) -
Method in class edu.stanford.nlp.stats.Counter
- Subtracts the counts in the given Counter from the counts in this Counter.
- subtractAll(IntCounter<E>) -
Method in class edu.stanford.nlp.stats.IntCounter
- Subtracts the counts in the given Counter from the counts in this Counter.
- subtractAll(TwoDimensionalCounter<K1, K2>, boolean) -
Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- sum(double[]) -
Static method in class edu.stanford.nlp.math.ArrayMath
- Returns the sum of an array of numbers.
- sum(double[], int, int) -
Static method in class edu.stanford.nlp.math.ArrayMath
- Returns the sum of the portion of an array of numbers between
fromIndex, inclusive, and toIndex, exclusive.
- sum(int[]) -
Static method in class edu.stanford.nlp.math.ArrayMath
-
- sum(float[]) -
Static method in class edu.stanford.nlp.math.ArrayMath
-
- sum(int[][]) -
Static method in class edu.stanford.nlp.math.ArrayMath
-
- sumOutEnd() -
Method in class edu.stanford.nlp.ie.crf.FactorTable
-
- sumOutEnd() -
Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
-
- sumOutFront() -
Method in class edu.stanford.nlp.ie.crf.FactorTable
-
- sumOutFront() -
Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
-
- sumSquaredError(double[]) -
Static method in class edu.stanford.nlp.math.ArrayMath
-
- svmModelFile -
Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
null if none),
which is stored in the map under the key TAG_KEYTaggedWord object contains a word and its tag.TaggedWord.
TaggedWord.
TaggedWord.
TaggedWord.
TaggedWord.
TaggedWordFactory acts as a factory for creating objects of
class TaggedWord.TaggedWordFactory.
TaggedWordFactory.
List of FeatureLabels.
Sentence.
Sentence.
Sentence.
String.
String.
String.
System.err and restart (static) timer.
BasicDocument.parse(String).
BasicDocument.parse(String).
List key in the GeneralizedCounter.
PriorityQueue of the c where the score of the object is its priority.
ValueLabel object acts as a Label with linguistic
attributes.WORD_KEY.
Word object acts as a Label by containing a String.null value.
Label interface.
WordFactory acts as a factory for creating objects of
class Word.WordToSentenceProcessor using a sensible default
list of tokens to split on.
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