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remove()
defined to throw an
UnsupportedOperationException
.AFTER_KEY
.
AFTER_KEY
.
StringUtils.argsToMap(java.lang.String[])
.
Comparator
.
PTBTokenizer
.
BEFORE_KEY
.
BEFORE_KEY
.
null
if
none), which is stored in the map under the key CATEGORY_KEY
.
value()
'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
Counter
s.this
as a Counter
.
Pair
s
CURRENT_KEY
.
CURRENT_KEY
.
SequenceClassifier
s.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
.
ValueLabel
s 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.List
s 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})
; works only
for depth 1 GeneralizedCounters
GeneralizedCounter.getCounts(java.util.List)
({o1,o2})
; works only for depth 2
GeneralizedCounters
GeneralizedCounter.getCounts(java.util.List)
({o1,o2,o3})
; works only for depth 3
GeneralizedCounters
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_KEY
.
GeneralizedCounter.depth()
-dimensional key l
.
GeneralizedCounter.incrementCount(java.util.List, java.lang.Object)
({o}, count)
;
only works for a depth 1 GeneralizedCounter.
INDEX_KEY
.
List
s 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_KEY
.
NER_KEY
.
String
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 FeatureLabel
s 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 FeatureLabel
s 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_KEY
.
AFTER_KEY
.
BEFORE_KEY
.
BEFORE_KEY
.
CURRENT_KEY
.
CURRENT_KEY
.
String
representing the
complete contents of the label.
String
passed in.
INDEX_KEY
.
NER_KEY
.
NER_KEY
.
SHAPE_KEY
.
HEAD_TAG_KEY
.
BasicDocument.parse(String)
.
SHAPE_KEY
.
SloppyMath
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_KEY
.
TaggedWord
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 FeatureLabel
s.
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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