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AbstractLabel
object acts as a Label with linguistic
attributes.Lexer
.TreebankLangParserParams
implementing class.AdaptiveLabelFactory
object makes simple
Label
s for objects, by creating a label of an
appropriate type depending on the arguments passed in.SentenceReaderFactory
which is
suitable for reading in tagged or untagged sentences formatted
one per line with underscores used only to separate words from POS tags.AdwaitSentenceReaderFactory
.
AdwaitSentenceReaderFactory
.
Comparator
.
word
(which must be a Word
,
or else
a ClassCastException will be thrown, and returns stemmed
Word
.
StringUtils.argsToMap(java.lang.String[])
.
Counters.average(Counter, Counter)
instead.
PTBTokenizer
.
labelAnnotationIntroducingCharacters()
.
labelAnnotationIntroducingCharacters()
.
Category
object acts as a Label by containing a
String
that is a category (nonterminal).Label
interface.
CategoryWordTag
object acts as a complex Label
which contains a category, a head word, and a tag.CategoryWordTagFactory
is a factory that makes
a Label
which is a CategoryWordTag
triplet.Constituent
object defines a generic edge in a graph.ConstituentFactory
is a factory for creating objects
of class Constituent
, or some descendent class.Counter
s.Sentencebank
.
Treebank
.
Sentencebank
.
Treebank
.
Sentencebank
.
Treebank
.
TreeReader
.
SentenceReader
.
TreeReader
.
Label
.
Comparable
interface.
Label
.
Label
.
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
this
as a Counter
.
Pair
s
DiskSentencebank
object stores merely the information to
get at a corpus of sentences that is stored on disk.DiskTreebank
object stores merely the information to
get at a corpus of trees that is stored on disk.Counters
.this
dominates the Tree passed in
as an argument.
this
and the dominated node itself.
java.io
package in useful
ways for our applications.System.err
.
Counters.entropy(Counter)
instead.
List
of size equal to the depth of the GeneralizedCounter, and
each value is a Double
.
SentenceReader
so as
to know whether an end-of-line is always to be treated as an
end-of-sentence.
SentenceReader
so as
to know whether an end-of-line is always to be treated as an
end-of-sentence.
Label
s is defined in the first instance
as equality of their String
value()
.
FileArrayList
maintains a collection of Files
.FileArrayList
, with no Files in it.
FileArrayList
from the passed in
Collection
.
FileArrayList
from the passed in
File
path.
FileArrayList
from the passed in
Collection
.
FileArrayList
from the passed in
Collection
.
FileArrayList
from the passed in
Collection
.
FilePathProcessor
traverses a directory structure and
applies the processFile
method to files meeting some
criterion.FileSequentialCollection
maintains a read-only
collection of Files
.FileSequentialCollection
, with no Files
in it.
FileSequentialCollection
from the passed in
Collection
.
FileSequentialCollection
from the passed in
File
path.
FileSequentialCollection
from the passed in
Collection
.
FileSequentialCollection
from the passed in
Collection
.
FileSequentialCollection
from the passed in
Collection
.
accept
method.Category
).
TreeFactory
that produces trees of the
LabeledScoredTree{Node|Leaf}
type.
TreeFactory
that produces trees of the
LabeledScoredTree{Node|Leaf}
type, with
the Label
made with the supplied
LabelFactory
.
TreeFactory
that produces trees of the
LabeledScoredTree{Node|Leaf}
type.
TreeFactory
that produces trees of the
LabeledScoredTree{Node|Leaf}
type, with
the Label
made with the supplied
LabelFactory
.
TreeFactory
that produces trees of the
SimpleTree
type.
Tag
).
null
if none.
List
s of a
prespecified length.parse
was
called, or null if none exists.
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
.
File
from which trees are currently being
read by apply()
, and pased to a
SentencePprocessor
.
File
from which trees are currently being
read by apply()
, and pased to a
TreePprocessor
.
Distribution
instead.
n
th terminal in tree
HasAttributes
interface
knows about attributes stored in a Map
.HasCategory
interface
knows about categories.HasFollow
interface
knows about the characters that follow a token.HasTag
interface
knows about part-of-speech tags.HasWord
interface
knows about words.true
if this Tokenizer has more elements.
true
if this Tokenizer has more elements.
head
(transitively) heads node
GeneralizedCounter.incrementCounts(java.util.List)
({o}, count)
;
only works for a depth 1 GeneralizedCounter.
Counters.informationRadius(Counter, Counter)
instead.
dtr
after position
existing
daughters in this
.
String
is the end-of-line token for
this tokenizer.
this
is a leaf.
List
s of size
equal to the depth of the GeneralizedCounter.
Counters.klDivergence(Counter, Counter)
instead.
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 descendent class.Label
.LabeledConstituent
object represents a single bracketing in
a derivation, including start and end points and Label
information, but excluding probabilistic information.LabeledConstituent
object.
LabeledConstituent
object with given
values.
LabeledConstituent
object with given values.
LabeledScoredConstituent
object defines an edge in a graph
with a label and a score.LabeledScoredConstituent
object.
LabeledScoredConstituent
object with given
values.
LabeledScoredConstituent
object with given
values.
LabeledScoredConstituentFactory
acts as a factory for
creating objects of class LabeledScoredConstituent
.LabeledScoredTreeFactory
acts as a factory for creating
trees with labels and scores.LabeledScoredTreeLeaf
represents the leaf of a tree
in a parse tree with labels and scores.LabeledScoredTreeNode
represents a tree composed of a root
label, a score,
and an array of daughter parse trees.TreeReaderFactory
that produces
labeled, scored array-based Trees, which have been cleaned up to
delete empties, etc.Tokenizer
designed to work with
Lexer
implementing classes.edu.stanford.nlp.SerializedLexicalizedParser
,
or a default file location.
Processor
whose process
method converts a
collection of mixed-case Words to a collection of lowercase Words.Category
).
CategoryWordTag
).
StringLabel
).
Tag
).
TaggedWord
).
Word
).
TaggedWord
).
Label
s,
null or otherwise, contained in the tree.
null
if none.
MemorySentencebank
object stores a corpus of examples with
given sentence structures in memory (as a Collection)MemoryTreebank
object stores a corpus of examples with
given tree structures in memory (as a List
).float
values.
double
values.
head
in
root
given a HeadFinder
float
values.
double
values.
NullLabel
object acts as a Label with linguistic
attributes, but doesn't actually store or return anything.Processor
whose process
method converts a
numbers to the word "*NUMBER*"Label
, where the Label
is formed from the passed in String, using it to name the component
given by options
.
Label
, where the label is
formed from
the Label
object passed in.
String
as the "name".
String
as the value.
String
objects passed in.
CategoryWordTag Label
, where the label is
formed from
the Label
object passed in.
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 value (word).
String
as a value component.
WordTag Label
, where the label is
formed from
the Label
object passed in.
String
as the "name".
String
as the "name".
String
passed in.
String
passed in.
String
passed in.
String
passed in.
SentenceReaderFactory
interface.
SentenceReaderFactory
interface.
SentenceReader
.
SentenceReaderFactory
interface.
String
passed in.
TreeReaderFactory
interface.
TreeReaderFactory
interface.
TreeReaderFactory
interface.
TreeReaderFactory
interface.
TreeReader
using the provided
Reader
.
TreeReaderFactory
interface.
Distribution
instead.
Sentence
.
Sentence
.
Tree
.
this
as a Counter
.
TreeReaderFactory
that produces
labeled, scored array-based Trees, which have been cleaned up to
delete empties, etc.Parser.Parser(String, String)
with both arguments being null
.
SentenceReaderFactory
which is
suitable for reading in tagged sentences from the Penn Treebank.PennTreeReader
is a TreeReader
that
reads in Penn Treebank-style files.Reader
.
Reader
.
Reader
.
List
where each element is a Sentence from the
List
input,
retokenized with the tokenizer provided at construction.
File
.
length
character positions in the
lexer.
IOException
.TaggedWord
from two
lists of String
, one for the words, and the second for
the tags.
Sentence
.SentenceReader
adds functionality to a Reader
by reading in Sentence
s, or some descendant class.Reader
.
Reader
.
Reader
.
Reader
.
SentenceReaderFactory
is a factory for creating objects of
class SentenceReader
, or some descendent class.SentenceRetokenizingProcessor
that uses the
TokenizerFactory
tokenizerFactory.
Sentence
.Sentencebank
object provides access to a corpus of
sentences -- just plain sentences or tagged sentences, etc.SimpleConstituent
object defines a generic edge in a graph.SimpleConstituent
object.
SimpleConstituent
object with given values.
ConstituentFactory
acts as a factory for creating objects
of class Constituent
, or some descendent class.SentenceReaderFactory
.SimpleTree
is a minimal concrete implementation of an
unlabeled, unscored Tree
.SimpleTreeFactory
acts as a factory for creating objects of
class SimpleTree
.TreeFactory
.
TreeFactory
.
TreeReaderFactory
.SloppyMath
contains methods for performing basic
numeric operations.Span
is an optimized SimpleConstituent
object.Span
object.
Span
object with given values.
stoplistfile
java.io.StreamTokenizer
and a edu.stanford.nlp.io.StreamTokenizer
.StreamTokenizer
.
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
.TreeReaderFactory
that produces
labeled, scored array-based Trees, which have been cleaned up to
delete empties, etc.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.
- samplePathsFromGraph(int) -
Method in class edu.stanford.nlp.fsm.TransducerGraph
-
- sampleUniformPathFromGraph() -
Method in class edu.stanford.nlp.fsm.TransducerGraph
- for testing only.
- save(DataOutputStream) -
Method in class edu.stanford.nlp.trees.WordTag
-
- save(DataOutputStream) -
Method in class edu.stanford.nlp.util.Pair
- Write a string representation of a Pair from a DataStream.
- score(IntTaggedWord) -
Method in class edu.stanford.nlp.parser.lexparser.ChineseUnknownWordModel
-
- score(TaggedWord) -
Method in class edu.stanford.nlp.parser.lexparser.ChineseUnknownWordModel
-
- score(Dependency) -
Method in class edu.stanford.nlp.parser.lexparser.DependencyGrammar
-
- score(int, int, int, int, boolean, int) -
Method in class edu.stanford.nlp.parser.lexparser.DependencyGrammar
-
- score(IntTaggedWord) -
Method in class edu.stanford.nlp.parser.lexparser.GermanUnknownWordModel
-
- score(TaggedWord) -
Method in class edu.stanford.nlp.parser.lexparser.GermanUnknownWordModel
-
- score(IntTaggedWord, int) -
Method in class edu.stanford.nlp.parser.lexparser.Lexicon
-
- score -
Variable in class edu.stanford.nlp.parser.lexparser.Rule
-
- score() -
Method in class edu.stanford.nlp.parser.lexparser.Rule
-
- score() -
Method in class edu.stanford.nlp.trees.Constituent
- access score
- score() -
Method in class edu.stanford.nlp.trees.LabeledScoredConstituent
- Returns the score associated with the current node, or Nan
if there is no score
- score() -
Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
- Returns the node's score.
- score() -
Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
- Returns the score associated with the current node, or Nan
if there is no score
- score() -
Method in class edu.stanford.nlp.trees.Tree
- Returns the score associated with the current node, or NaN
if there is no score.
- score(Object[], Object[]) -
Method in class edu.stanford.nlp.util.EditDistance
-
- score() -
Method in interface edu.stanford.nlp.util.Scored
- Return the score of this thing
- score() -
Method in class edu.stanford.nlp.util.ScoredObject
-
- score -
Variable in class edu.stanford.nlp.util.ScoredPair
-
- score() -
Method in class edu.stanford.nlp.util.ScoredPair
-
- scoreAll(Collection) -
Method in class edu.stanford.nlp.parser.lexparser.DependencyGrammar
-
- scoreAll(List) -
Method in class edu.stanford.nlp.parser.lexparser.Lexicon
-
- scoreRule(BinaryRule) -
Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
-
- scoreRule(UnaryRule) -
Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
-
- scoreTB(Dependency) -
Method in class edu.stanford.nlp.parser.lexparser.DependencyGrammar
-
- scoreTB(int, int, int, int, boolean, int) -
Method in class edu.stanford.nlp.parser.lexparser.DependencyGrammar
-
- scrollBack() -
Method in class edu.stanford.nlp.parser.ui.ParserPanel
- Scrolls back one sentence in the text
- scrollForward() -
Method in class edu.stanford.nlp.parser.ui.ParserPanel
- Scrolls forward one sentence in the text
- second -
Variable in class edu.stanford.nlp.util.Pair
- Direct access is deprecated.
- second() -
Method in class edu.stanford.nlp.util.Pair
-
- second -
Variable in class edu.stanford.nlp.util.Triple
-
- seenCounter -
Variable in class edu.stanford.nlp.parser.lexparser.Lexicon
-
- selectiveSplitLevel -
Static variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
- How selectively to split.
- selectiveSplitLevel -
Static variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
- Set the support * KL cutoff level (1-4) -- use of 2 or 3 is good.
- sentenceFinalPunctuationTagAcceptFilter() -
Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
- Returns a filter that accepts a String that is a sentence end
punctuation tag, and rejects everything else.
- sentenceFinalPunctuationTagAcceptFilter() -
Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
- Returns a filter that accepts a String that is a sentence end
punctuation tag, and rejects everything else.
- sentenceFinalPunctuationTags() -
Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
- Returns a String array of sentence final punctuation tags for this
treebank/language.
- sentenceFinalPunctuationTags() -
Method in class edu.stanford.nlp.trees.ChineseTreebankLanguagePack
- Returns a String array of sentence final punctuation tags for this
treebank/language.
- sentenceFinalPunctuationTags() -
Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
- Returns a String array of sentence final punctuation tags for this
treebank/language.
- sentenceFinalPunctuationTags() -
Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
- Returns a String array of sentence final punctuation tags for this
treebank/language.
- sentenceFinalPunctuationTags() -
Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
- Returns a String array of sentence final punctuation tags for this
treebank/language.
- sentenceFinalPunctuationWords() -
Method in class edu.stanford.nlp.trees.ChineseTreebankLanguagePack
- Returns a String array of sentence final punctuation words for this
treebank/language.
- sentenceFinalPunctuationWords() -
Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
- Returns a String array of sentence final punctuation words for this
treebank/language.
- sentenceFinalPunctuationWords() -
Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
- Returns a String array of sentence final punctuation words for
this treebank/language.
- sentenceFinalPunctuationWords() -
Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
- Returns a String array of sentence final punctuation words for this
treebank/language.
- sentenceReaderFactory() -
Method in class edu.stanford.nlp.trees.Sentencebank
- Get the
SentenceReaderFactory
for a
Sentencebank
-- this method is provided in order to
make the
SentenceReaderFactory
available to subclasses.
- serialVersionUID -
Static variable in class edu.stanford.nlp.parser.lexparser.Lexicon
-
- set(Options) -
Static method in class edu.stanford.nlp.parser.lexparser.Options
-
- set(int, Object) -
Method in class edu.stanford.nlp.trees.MemoryTreebank
-
- set(double) -
Method in class edu.stanford.nlp.util.MutableDouble
-
- set(int) -
Method in class edu.stanford.nlp.util.MutableInteger
-
- setCategory(String) -
Method in class edu.stanford.nlp.trees.Category
-
- setCategory(String) -
Method in class edu.stanford.nlp.trees.CategoryWordTag
-
- setCategory(String) -
Method in interface edu.stanford.nlp.trees.HasCategory
- Set the category value for the label (if one is stored).
- setCategory(String) -
Method in class edu.stanford.nlp.trees.NullLabel
-
- setCategoryWordTag(String, String, String) -
Method in class edu.stanford.nlp.trees.CategoryWordTag
-
- setChildren(Tree[]) -
Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
- Leaves have no children.
- setChildren(Tree[]) -
Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
- Sets the children of this
Tree
.
- setChildren(Tree[]) -
Method in class edu.stanford.nlp.trees.SimpleTree
- Sets the children of this
Tree
.
- setChildren(Tree[]) -
Method in class edu.stanford.nlp.trees.Tree
- Set the children of this node to be the children given in the
array.
- setChildren(List) -
Method in class edu.stanford.nlp.trees.Tree
- Set the children of this tree node to the given list.
- setCount(Object, double) -
Method in class edu.stanford.nlp.util.Counter
- Sets the current count for the given key.
- setCount(Object, double) -
Method in class edu.stanford.nlp.util.DeltaCounter
- puts new MutableDoubles.
- setCounts(Collection, double) -
Method in class edu.stanford.nlp.util.Counter
- Sets the current count for each of the given keys.
- setDeterminism(boolean) -
Method in class edu.stanford.nlp.fsm.TransducerGraph
-
- setDivider(String) -
Static method in class edu.stanford.nlp.trees.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.trees.WordTag
- Set the String (usually just a single character) used to mark
the separation between the word and the tag.
- setDotWeightingInverted(boolean) -
Method in class edu.stanford.nlp.fsm.TransducerGraph
-
- setEdge(String) -
Method in class edu.stanford.nlp.trees.international.negra.NegraLabel
-
- setEnd(int) -
Method in class edu.stanford.nlp.trees.Constituent
- set end node.
- setEnd(int) -
Method in class edu.stanford.nlp.trees.SimpleConstituent
- set end node.
- setEndNode(Object) -
Method in class edu.stanford.nlp.fsm.TransducerGraph
-
- setEolString(String) -
Method in class edu.stanford.nlp.io.StreamTokenizerAdapter
- Set the
String
returned when the inner tokenizer
returns an end-of-line token.
- setFeatureValue(String, String) -
Method in class edu.stanford.nlp.trees.international.negra.NegraLabel
-
- setFileChooser(JFileChooser) -
Method in class edu.stanford.nlp.io.ui.OpenPageDialog
- Sets the file chooser used by the Browse button
- setFirst(Object) -
Method in class edu.stanford.nlp.util.Pair
-
- setFollow(String) -
Method in interface edu.stanford.nlp.trees.HasFollow
- Set the follow value for the label (if one is stored).
- setFollow(String) -
Method in class edu.stanford.nlp.trees.WeightedFollowedTaggedWord
-
- setFromString(String) -
Method in class edu.stanford.nlp.trees.AbstractLabel
-
- setFromString(String) -
Method in class edu.stanford.nlp.trees.CategoryWordTag
- Set everything by reversing a toString operation.
- setFromString(String) -
Method in class edu.stanford.nlp.trees.Constituent
- Make a new label with this
String
as the "name", perhaps
by doing some appropriate decoding of the string.
- setFromString(String) -
Method in interface edu.stanford.nlp.trees.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.trees.StringLabel
- Set the label from a String.
- setFromString(String) -
Method in class edu.stanford.nlp.trees.TaggedWord
- Sets a TaggedWord from decoding
the
String
passed in.
- setFromString(String) -
Method in class edu.stanford.nlp.trees.WordTag
- Sets a TaggedWord from decoding
the
String
passed in.
- setGlobal(Interner) -
Static method in class edu.stanford.nlp.util.Interner
- For supplying a new instance for the global methods to
use.
- setHeadFinder(HeadFinder) -
Method in class edu.stanford.nlp.parser.lexparser.TreePrint
- Set the headfinder to be used for lexicalizing trees.
- setHeadMarkNodes(boolean) -
Method in class edu.stanford.nlp.parser.lexparser.TreePrint
- sets whether or not to mark the head daughter of each non-leaf
node
- setInput(Object) -
Method in class edu.stanford.nlp.fsm.TransducerGraph.Arc
-
- setInputEncoding(String) -
Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
- sets the input encoding
- setInputEncoding(String) -
Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
- setInputEncoding(String) -
Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
- setInsertNPinPP(boolean) -
Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
-
- setKeepOriginalText(boolean) -
Method in class edu.stanford.nlp.dbm.DocumentReader
- Sets whether created documents should store their source text along with tokenized words.
- setLabel(Object) -
Method in class edu.stanford.nlp.dbm.BasicDocument
- Removes all currently assigned labels for this Document then adds
the given label.
- setLabel(Label) -
Method in class edu.stanford.nlp.trees.Constituent
- Sets the label associated with the current Constituent,
if there is one.
- setLabel(Label) -
Method in interface edu.stanford.nlp.trees.Labeled
- Sets the label associated with this object.
- setLabel(Label) -
Method in class edu.stanford.nlp.trees.LabeledConstituent
-
- setLabel(Label) -
Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
- Sets the label associated with the current node, if there is one.
- setLabel(Label) -
Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
- Sets the label associated with the current node, if there is one.
- setLabel(Label) -
Method in class edu.stanford.nlp.trees.Tree
- Sets the label associated with the current node, if there is one.
- setLabels(Collection) -
Method in class edu.stanford.nlp.dbm.BasicDocument
- Removes all currently assigned labels for this Document then adds all
of the given labels.
- setLabels(Collection) -
Method in class edu.stanford.nlp.trees.Constituent
-
- setLabels(Collection) -
Method in interface edu.stanford.nlp.trees.Labeled
- Sets the labels associated with this object.
- setLabels(Collection) -
Method in class edu.stanford.nlp.trees.Tree
-
- setLanguage(int) -
Method in class edu.stanford.nlp.parser.ui.ParserPanel
- Sets the language used by the ParserPanel to tokenize, parse, and
display sentences.
- setLeaveGF(boolean) -
Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
-
- setLexicalize(boolean) -
Method in class edu.stanford.nlp.parser.lexparser.TreePrint
- sets whether or not to lexicalize the output format of the
tree.
- setMap(Map) -
Method in class edu.stanford.nlp.util.CompositionMap
-
- 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.
- setMaxFontSize(int) -
Method in class edu.stanford.nlp.parser.ui.TreeJPanel
-
- setMinFontSize(int) -
Method in class edu.stanford.nlp.parser.ui.TreeJPanel
-
- setNumberers(Map) -
Static method in class edu.stanford.nlp.util.Numberer
-
- setObject(Object) -
Method in class edu.stanford.nlp.util.ScoredObject
-
- setOptionFlag(String[], int) -
Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
- Set language-specific options according to flags.
- setOptionFlag(String[], int) -
Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
- Set language-specific options according to flags.
- setOptionFlag(String[], int) -
Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
- Set language-specific options according to flags.
- setOptionFlag(String[], int) -
Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
-
- setOptionFlag(String[], int) -
Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
- Set language-specific options according to flags.
- setOutput(Object) -
Method in class edu.stanford.nlp.fsm.TransducerGraph.Arc
-
- setOutputEncoding(String) -
Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
- sets the output encoding
- setOutputEncoding(String) -
Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
- setOutputEncoding(String) -
Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
- setPrintDepsSet(boolean) -
Method in class edu.stanford.nlp.parser.lexparser.TreePrint
- Set whether or not to print the dependency set for the tree
- setPrintWriter(PrintWriter) -
Method in class edu.stanford.nlp.parser.lexparser.TreePrint
- Sets the default print writer for printing trees with the instance
- setReader(Reader) -
Method in class edu.stanford.nlp.dbm.DocumentReader
- Sets the reader from which to read and create documents.
- setScore(double) -
Method in class edu.stanford.nlp.trees.Constituent
- Sets the score associated with the current node, if there is one
- setScore(double) -
Method in class edu.stanford.nlp.trees.LabeledScoredConstituent
- Sets the score associated with the current node, if there is one
- setScore(double) -
Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
- Sets the score associated with the current node, if there is one.
- setScore(double) -
Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
- Sets the score associated with the current node, if there is one
- setScore(double) -
Method in class edu.stanford.nlp.trees.Tree
- Sets the score associated with the current node, if there is one.
- setScore(double) -
Method in class edu.stanford.nlp.util.ScoredObject
-
- setScore(double) -
Method in class edu.stanford.nlp.util.ScoredPair
-
- setScore(double) -
Method in interface edu.stanford.nlp.util.XScored
-
- setSecond(Object) -
Method in class edu.stanford.nlp.util.Pair
-
- setSource(Reader) -
Method in class edu.stanford.nlp.process.PTBTokenizer
- Sets the source of this Tokenizer to be the Reader r.
- setSourceNode(Object) -
Method in class edu.stanford.nlp.fsm.TransducerGraph.Arc
-
- setStart(int) -
Method in class edu.stanford.nlp.trees.Constituent
- set start node.
- setStart(int) -
Method in class edu.stanford.nlp.trees.SimpleConstituent
- set start node.
- setStartNode(Object) -
Method in class edu.stanford.nlp.fsm.TransducerGraph
-
- setStaticCapitalizeTimex(boolean) -
Method in class edu.stanford.nlp.process.Americanize
-
- setStatus(String) -
Method in class edu.stanford.nlp.parser.ui.ParserPanel
- Sets the status text at the bottom of the ParserPanel.
- setTag(String) -
Method in class edu.stanford.nlp.trees.CategoryWordTag
-
- setTag(String) -
Method in interface edu.stanford.nlp.trees.HasTag
- Set the tag value for the label (if one is stored).
- setTag(String) -
Method in class edu.stanford.nlp.trees.NullLabel
-
- setTag(String) -
Method in class edu.stanford.nlp.trees.Tag
-
- setTag(String) -
Method in class edu.stanford.nlp.trees.TaggedWord
-
- setTag(String) -
Method in class edu.stanford.nlp.trees.WordTag
-
- setTargetNode(Object) -
Method in class edu.stanford.nlp.fsm.TransducerGraph.Arc
-
- setTitle(String) -
Method in class edu.stanford.nlp.dbm.BasicDocument
- Sets the title of this Document to the given title.
- setTitle(String) -
Method in class edu.stanford.nlp.dbm.SentenceDocument
-
- setTokenizer(Tokenizer) -
Method in class edu.stanford.nlp.dbm.DocumentReader
- Sets the tokenizer used to chop up text into words for the documents.
- setTokenizerFactory(TokenizerFactory) -
Method in class edu.stanford.nlp.dbm.BasicDocument
- Sets the tokenizerFactory to be used by
BasicDocument.parse(String)
.
- setTree(Tree) -
Method in class edu.stanford.nlp.parser.ui.TreeJPanel
-
- setTreebankLangParserParams(TreebankLangParserParams) -
Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
- Allows the caller to specify a TreebankLangParserParams to use.
- setValue(String) -
Method in class edu.stanford.nlp.trees.AbstractLabel
- Set the value for the label (if one is stored).
- setValue(String) -
Method in class edu.stanford.nlp.trees.Constituent
- Set the value for the label (if one is stored).
- setValue(String) -
Method in interface edu.stanford.nlp.trees.Label
- Set the value for the label (if one is stored).
- setValue(String) -
Method in class edu.stanford.nlp.trees.StringLabel
- Set the value for the label.
- setValue(String) -
Method in class edu.stanford.nlp.trees.WordTag
- Set the value for the label (if one is stored).
- setWeight(double) -
Method in class edu.stanford.nlp.trees.WeightedFollowedTaggedWord
-
- setWeight(double) -
Method in interface edu.stanford.nlp.util.Weighted
- Set the weight of this thing
- setWord(String) -
Method in class edu.stanford.nlp.trees.CategoryWordTag
-
- setWord(String) -
Method in interface edu.stanford.nlp.trees.HasWord
- Set the word value for the label (if one is stored).
- setWord(String) -
Method in class edu.stanford.nlp.trees.NullLabel
-
- setWord(String) -
Method in class edu.stanford.nlp.trees.Word
-
- setWord(String) -
Method in class edu.stanford.nlp.trees.WordTag
-
- setWords(Collection) -
Method in class edu.stanford.nlp.trees.Sentence
- Set the Sentence to this Collection of Word's.
- shortValue() -
Method in class edu.stanford.nlp.util.MutableDouble
-
- shortValue() -
Method in class edu.stanford.nlp.util.MutableInteger
-
- showTags() -
Method in class edu.stanford.nlp.parser.lexparser.Lexicon
-
- sideCounters(String, List, List, Map) -
Method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
-
- sigs -
Variable in class edu.stanford.nlp.parser.lexparser.Lexicon
-
- sisterCounters(Tree, Tree) -
Method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
-
- sisterSplitLevel -
Static variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
- Set the support * KL cutoff level (1-4) for sister splitting
-- don't use it, as far as we can tell so far
- sisterSplitters() -
Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
- Returns the splitting strings used for selective splits.
- sisterSplitters() -
Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- sisterSplitters() -
Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
- sisterSplitters() -
Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
-
- sisterSplitters() -
Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
- Returns the splitting strings used for selective splits.
- size() -
Method in class edu.stanford.nlp.io.FileSequentialCollection
- Returns the size of the FileSequentialCollection.
- size() -
Method in class edu.stanford.nlp.trees.Constituent
- Return the length of a
Constituent
- size() -
Method in class edu.stanford.nlp.trees.MemorySentencebank
- Returns the size of the Sentencebank.
- size() -
Method in class edu.stanford.nlp.trees.MemoryTreebank
- Returns the size of the Treebank.
- size() -
Method in class edu.stanford.nlp.trees.Sentencebank
- Returns the size of the Sentencebank.
- size() -
Method in class edu.stanford.nlp.trees.Tree
- Returns the number of nodes the tree contains.
- size() -
Method in class edu.stanford.nlp.trees.Treebank
- Returns the size of the Treebank.
- size() -
Method in class edu.stanford.nlp.util.ArrayHeap
- Get the number of elements in the heap.
- size() -
Method in class edu.stanford.nlp.util.ArrayMap
-
- size() -
Method in class edu.stanford.nlp.util.Beam
-
- size() -
Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
- Get the number of elements in the queue.
- size() -
Method in class edu.stanford.nlp.util.CircleList
-
- size() -
Method in class edu.stanford.nlp.util.CollectionValuedMap
-
- size() -
Method in class edu.stanford.nlp.util.CompositionMap
-
- size() -
Method in class edu.stanford.nlp.util.Counter
-
- size() -
Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
-
- size() -
Method in interface edu.stanford.nlp.util.Heap
- The number of elements currently in the heap.
- size() -
Method in class edu.stanford.nlp.util.Index
-
- size() -
Method in class edu.stanford.nlp.util.PaddedList
-
- slurpFile(File) -
Static method in class edu.stanford.nlp.util.StringUtils
- Returns all the text in the given File.
- slurpFile(String) -
Static method in class edu.stanford.nlp.util.StringUtils
- Returns all the text in the given File.
- slurpURL(URL) -
Static method in class edu.stanford.nlp.util.StringUtils
- Returns all the text at the given URL.
- smartMutation -
Variable in class edu.stanford.nlp.parser.lexparser.Options
- Smarter smoothing for rare words.
- smooth -
Variable in class edu.stanford.nlp.parser.lexparser.DependencyGrammar
-
- sortIntoBlocks(Collection) -
Method in class edu.stanford.nlp.fsm.ExactAutomatonMinimizer
-
- sortIntoBlocks(Collection) -
Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
-
- sourceNode -
Variable in class edu.stanford.nlp.fsm.TransducerGraph.Arc
-
- spliceOut(Filter) -
Method in class edu.stanford.nlp.trees.Tree
- Creates a (partial) deep copy of the tree, where all nodes that the
filter does not accept are spliced out.
- spliceOut(Filter, TreeFactory) -
Method in class edu.stanford.nlp.trees.Tree
- Creates a (partial) deep copy of the tree, where all nodes that the
filter does not accept are spliced out.
- split(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.
- splitAux -
Static variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
- Make special tags for forms of BE and HAVE.
- splitAuxBetter -
Static variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
- Make special tags for forms of BE and HAVE.
- splitBaseNP -
Static variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
- Mark base NPs.
- splitBaseNP -
Static variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
- Mark base NPs.
- splitCC -
Static variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
- Annotates "and", and "or" specially - the point of this isn't
so clear to cdm since this is most conjunctions.
- splitCC2 -
Static variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
- Alternative: separate off [Bb]ut and &.
- splitChar -
Variable in class edu.stanford.nlp.process.WordToTaggedWordProcessor
- The char that we will split on.
- splitIN -
Static variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
- Annotate prepositions with a S parent (putative subordinating
conjunctions) differently from others (real prepositions).
- splitIN2 -
Static variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
- Annotate prepositions 3 ways: S* parent, N* parent or rest
(generally predicative ADJP, VP).
- splitIN3 -
Static variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
- Annotate prepositions 6 ways: real feature engineering.
- splitJJCOMP -
Static variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
- Put a special tag on 'adjectives with complements'.
- splitMoreLess -
Static variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
- Specially mark the comparative/superlative words: less, least,
more, most
- splitNOT -
Static variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
- Annotates forms of "not" specially as tag "NOT".
- splitNPADV -
Static variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
- Retain NP-ADV annotation.
- splitNPNNP -
Static variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
- Mark NP-NNP.
- splitNPTMP -
Static variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
- Retain NP-TMP annotation.
- splitNumNP -
Static variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
- Mark "numeric NPs".
- splitPPJJ -
Static variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
- A special test for "such" mainly ("such as Fred").
- splitPercent -
Static variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
- Mark the nouns that are percent signs.
- splitPoss -
Static variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
- Give a special tag to NPs which are possessive NPs (end in 's)
- splitRB -
Static variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
- Split modifier (NP, AdjP) adverbs from others.
- splitRules() -
Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
-
- splitRulesWithLC(int) -
Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
-
- splitRulesWithParent(int) -
Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
-
- splitRulesWithRC(int) -
Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
-
- splitSGapped -
Static variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
- Mark specially S nodes with "gapped" subject (control, raising).
- splitSTag -
Static variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
- Mark S nodes according to verbal tag.
- splitTMP -
Static variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
- Retain all -TMP annotation.
- splitTRJJ -
Static variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
- Put a special tag on 'transitive adjectives' with NP complement, like
'due May 15' -- it also catches 'such' in 'such as NP', which may
be a good.
- splitVP -
Static variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
- Add (head) tags to VPs
- splitVP2 -
Static variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
- Add (head) tags to VPs, but collapse "finite" ones together.
- splitVP3 -
Static variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
- Add only verbal tags to VPs, collapsing "finite" ones together.
- splitters() -
Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
- Returns the splitting strings used for selective splits.
- splitters() -
Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- splitters() -
Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
- splitters() -
Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
-
- splitters() -
Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
- Returns the splitting strings used for selective splits.
- start() -
Method in class edu.stanford.nlp.trees.Constituent
- access start node.
- start() -
Method in class edu.stanford.nlp.trees.SimpleConstituent
- access start node.
- startSymbol() -
Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
- Returns a String which is the first (perhaps unique) start symbol
of the treebank, or null if none is defined.
- startSymbol() -
Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
- Returns a String which is the first (perhaps unique) start symbol
of the treebank, or null if none is defined.
- startSymbolAcceptFilter() -
Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
- Return a filter that accepts a String that is a start symbol
of the treebank, and rejects everything else.
- startSymbolAcceptFilter() -
Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
- Return a filter that accepts a String that is a start symbol
of the treebank, and rejects everything else.
- startSymbols() -
Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
- Returns a String array of treebank start symbols.
- startSymbols() -
Method in class edu.stanford.nlp.trees.ChineseTreebankLanguagePack
- Returns a String array of treebank start symbols.
- startSymbols() -
Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
- Returns a String array of treebank start symbols.
- startSymbols() -
Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
- Returns a String array of treebank start symbols.
- startSymbols() -
Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
- Returns a String array of treebank start symbols.
- startTime() -
Static method in class edu.stanford.nlp.util.Timing
- Start the timing operation.
- stateNumberer -
Variable in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
-
- stateSpace() -
Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
-
- stateSpace -
Variable in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
-
- stem(String) -
Method in class edu.stanford.nlp.process.Stemmer
- Stems
s
and returns stemmed String
.
- stem(Word) -
Method in class edu.stanford.nlp.process.Stemmer
- Stems
w
and returns stemmed Word
.
- str -
Variable in class edu.stanford.nlp.parser.lexparser.ConstituentEvalByCat
-
- stringSubs -
Variable in class edu.stanford.nlp.process.PTBEscapingProcessor
-
- subList(int, int) -
Method in class edu.stanford.nlp.trees.MemoryTreebank
-
- subList(int, int) -
Method in class edu.stanford.nlp.util.Index
-
- subTreeList() -
Method in class edu.stanford.nlp.trees.Tree
- Get the list of all subtrees inside the tree by returning a tree
rooted at each node.
- subTrees() -
Method in class edu.stanford.nlp.trees.Tree
- Get the set of all subtrees inside the tree by returning a tree
rooted at each node.
- subTrees(Collection) -
Method in class edu.stanford.nlp.trees.Tree
- Add the set of all subtrees inside a tree (including the tree itself)
to the given
Collection
.
- subtractAll(Counter) -
Method in class edu.stanford.nlp.util.Counter
- Subtracts the counts in the given Counter from the counts in this Counter.
- suppressTerminalDetails -
Static variable in class edu.stanford.nlp.trees.CategoryWordTag
- If set to true, when a terminal or preterminal has as its category
something that is also the word or tag value, the latter are
suppressed.
- switchedFilter(Filter, boolean) -
Static method in class edu.stanford.nlp.util.Filters
- Filter that's either negated or normal as specified.
- syncSpi() -
Method in class edu.stanford.nlp.util.DisabledPreferences
-
- systemRoot() -
Method in class edu.stanford.nlp.util.DisabledPreferencesFactory
-
Tag
object acts as a Label by containing a
String
that is a part-of-speech tag.Label
interface.
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
.
Tree
is used to collect all of the
tree types, and acts as a generic composite type.TreeFactory
acts as a factory for creating objects of
class Tree
, or some descendent class.TreeLengthComparator
orders trees by their yield sentence
lengths.TreeLengthComparator
.
edu.stanford.nlp.trees.Tree
as the output of the
parser.Tree
.TreeReader
adds functionality to another Reader
by reading in Trees, or some descendant class.TreeReaderFactory
is a factory for creating objects of
class TreeReader
, or some descendent class.Tree
.Treebank
object provides access to a corpus of examples with
given tree structures.Tree
class.System.out
.
Constituent
.
String
representation of the label.
Constituent
.
SentenceReader
object.
StringBuffer
.
StringBuffer
.
StringBuffer
.
BasicDocument.parse(String)
.
BasicDocument.parse(String)
.
TreeFactory
that produces trees of the
same type as the current Tree
.
TreeFactory
that produces trees of the
same type as the current Tree
.
TreeFactory
that produces trees of the
SimpleTree
type.
TreeFactory
that produces trees of the
appropriate type.
TreeReaderFactory
for a Treebank
--
this method is provided in order to make the
TreeReaderFactory
available to subclasses.
ChineseTreebankLanguagePack
toString()
,
pennPrint()
, or as in the Penn Treebank).
toString()
,
pennPrint()
, or as in the Penn Treebank.
WeightedFollowedTaggedWord
object contains a word and its
tag, but it also records what text follows the token.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
.TreeReaderFactory
that produces
Word
labeled, scored array-based Trees, which have been
cleaned up to delete empties, etc., according to the
BobChrisTreeNormalizer
.WordTag
.
WordTag
from a Label.
WordTagFactory
acts as a factory for creating
objects of class WordTag
.WordTagFactory
.
WordTagFactory
.
WordToSentenceProcessor
using a sensible default
list of tokens to split on.
WordToTaggedWordProcessor
using the default
forward slash character to split on.
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