| edu.stanford.nlp.classify |
The classify package provides facilities for training classifiers.
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| edu.stanford.nlp.classify.demo |
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| edu.stanford.nlp.coref |
Packages for coreference resolution and mention detection.
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| edu.stanford.nlp.coref.data |
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| edu.stanford.nlp.coref.docreader |
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| edu.stanford.nlp.coref.fastneural |
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| edu.stanford.nlp.coref.hybrid |
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| edu.stanford.nlp.coref.hybrid.demo |
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| edu.stanford.nlp.coref.hybrid.rf |
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| edu.stanford.nlp.coref.hybrid.sieve |
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| edu.stanford.nlp.coref.md |
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| edu.stanford.nlp.coref.misc |
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| edu.stanford.nlp.coref.neural |
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| edu.stanford.nlp.coref.statistical |
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| edu.stanford.nlp.dcoref |
Multi-pass Sieve Coreference Resolution System
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| edu.stanford.nlp.dcoref.sievepasses |
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| edu.stanford.nlp.dcoref.util |
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| edu.stanford.nlp.examples |
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| edu.stanford.nlp.fsm |
Contains two implementations of finite state machines.
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| edu.stanford.nlp.graph |
A simple directed graph implementatin that we use to support our dependency graphs.
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| edu.stanford.nlp.ie |
This package implements various subpackages for information extraction.
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| edu.stanford.nlp.ie.crf |
A package for doing inference with conditional random fields.
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| edu.stanford.nlp.ie.demo |
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| edu.stanford.nlp.ie.machinereading |
A package for supervised relation and event extraction.
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| edu.stanford.nlp.ie.machinereading.common |
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| edu.stanford.nlp.ie.machinereading.domains.ace |
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| edu.stanford.nlp.ie.machinereading.domains.ace.reader |
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| edu.stanford.nlp.ie.machinereading.domains.roth |
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| edu.stanford.nlp.ie.machinereading.structure |
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| edu.stanford.nlp.ie.ner |
This package contains the older version of the Stanford NER tagger that uses a
Conditional Markov Model (a.k.a., Maximum Entropy Markov Model or MEMM)
designed for Named Entity Recognition, and various support code.
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| edu.stanford.nlp.ie.ner.ui |
This package mainly contains GUI software for error analysis of NER,
developed in the context of Biocreative, but also has a simple GUI
interface to CMMClassifier.
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| edu.stanford.nlp.ie.ner.webapp |
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| edu.stanford.nlp.ie.pascal |
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| edu.stanford.nlp.ie.qe |
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| edu.stanford.nlp.ie.regexp |
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| edu.stanford.nlp.ie.util |
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| edu.stanford.nlp.international |
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| edu.stanford.nlp.international.arabic |
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| edu.stanford.nlp.international.arabic.parsesegment |
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| edu.stanford.nlp.international.arabic.pipeline |
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| edu.stanford.nlp.international.arabic.process |
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| edu.stanford.nlp.international.french |
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| edu.stanford.nlp.international.french.pipeline |
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| edu.stanford.nlp.international.french.process |
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| edu.stanford.nlp.international.french.scripts |
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| edu.stanford.nlp.international.german.process |
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| edu.stanford.nlp.international.german.scripts |
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| edu.stanford.nlp.international.morph |
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| edu.stanford.nlp.international.spanish |
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| edu.stanford.nlp.international.spanish.pipeline |
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| edu.stanford.nlp.international.spanish.process |
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| edu.stanford.nlp.international.spanish.scripts |
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| edu.stanford.nlp.io |
A few classes that augment the java.io package in useful
ways for our applications.
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| edu.stanford.nlp.io.ui |
UI components for I/O operations.
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| edu.stanford.nlp.ling |
This package contains the different data structures used by
JavaNLP throughout the years for dealing with linguistic objects in general,
of which words are the most generally used.
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| edu.stanford.nlp.ling.tokensregex |
This package contains a library, TokensRegex, for matching regular expressions over
tokens.
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| edu.stanford.nlp.ling.tokensregex.demo |
This package contains some demo code and a few sample rule files for the
TokensRegex package.
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| edu.stanford.nlp.ling.tokensregex.matcher |
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| edu.stanford.nlp.ling.tokensregex.parser |
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| edu.stanford.nlp.ling.tokensregex.types |
This package contains various types and interfaces used when
parsing TokensRegex patterns and rules.
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| edu.stanford.nlp.loglinear.benchmarks |
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| edu.stanford.nlp.loglinear.inference |
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| edu.stanford.nlp.loglinear.learning |
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| edu.stanford.nlp.loglinear.model |
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| edu.stanford.nlp.loglinear.model.proto |
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| edu.stanford.nlp.loglinear.storage |
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| edu.stanford.nlp.math |
Classes for Simple Math Functionality, such as Min, Max, WeightedAverage,
Scientific Notation, etc.
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| edu.stanford.nlp.maxent |
This package deals with defining and solving maximum entropy problems.
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| edu.stanford.nlp.maxent.iis |
This package contains an implementation of Improved Iterative Scaling.
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| edu.stanford.nlp.misc |
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| edu.stanford.nlp.naturalli |
This package defines operator and polarity marking according to natural logic,
and defines the Stanford Open IE system.
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| edu.stanford.nlp.naturalli.demo |
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| edu.stanford.nlp.net |
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| edu.stanford.nlp.neural |
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| edu.stanford.nlp.neural.rnn |
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| 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.
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| edu.stanford.nlp.optimization |
Numerical optimization, including a conjugate gradient implementation.
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| edu.stanford.nlp.paragraphs |
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| edu.stanford.nlp.parser |
This package contains a few simple interfaces for the parsers in the various
subpackages.
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| edu.stanford.nlp.parser.charniak |
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| edu.stanford.nlp.parser.common |
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| edu.stanford.nlp.parser.dvparser |
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| edu.stanford.nlp.parser.eval |
This package contains a class, CandidateParseManager, for managing multiple candidate parses for a single
gold-standard tree, doing evaluations, and more.
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| edu.stanford.nlp.parser.lexparser |
This package contains implementations of three probabilistic parsers for
natural language text.
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| edu.stanford.nlp.parser.lexparser.demo |
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| edu.stanford.nlp.parser.metrics |
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| edu.stanford.nlp.parser.nndep |
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| edu.stanford.nlp.parser.nndep.demo |
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| edu.stanford.nlp.parser.server |
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| edu.stanford.nlp.parser.shiftreduce |
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| edu.stanford.nlp.parser.shiftreduce.demo |
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| edu.stanford.nlp.parser.tools |
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| edu.stanford.nlp.parser.ui |
This package contains graphical user interface components for parsing sentences
with parser created using lexparser.LexicalizedParser.
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| edu.stanford.nlp.patterns |
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| edu.stanford.nlp.patterns.dep |
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| edu.stanford.nlp.patterns.surface |
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| edu.stanford.nlp.pipeline |
Linguistic Annotation Pipeline
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| edu.stanford.nlp.pipeline.demo |
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| edu.stanford.nlp.pipeline.webapp |
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| edu.stanford.nlp.process |
Contains classes for processing documents.
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| edu.stanford.nlp.process.stattok |
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| edu.stanford.nlp.quoteattribution |
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| edu.stanford.nlp.quoteattribution.Sieves |
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| edu.stanford.nlp.quoteattribution.Sieves.MSSieves |
Implementations of mention to speaker (i.e., entity) sieves.
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| edu.stanford.nlp.quoteattribution.Sieves.QMSieves |
Implementations of quote to mention sieves.
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| edu.stanford.nlp.quoteattribution.Sieves.training |
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| edu.stanford.nlp.scenegraph |
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| edu.stanford.nlp.scenegraph.image |
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| edu.stanford.nlp.semgraph |
This package provides a representation of dependency graphs (normally the
collapsed Stanford Dependencies representation) as a graph (backed by
the jgrapht graph library.
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| edu.stanford.nlp.semgraph.semgrex |
A package for dependency graph (i.e.
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| edu.stanford.nlp.semgraph.semgrex.demo |
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| edu.stanford.nlp.semgraph.semgrex.ssurgeon |
A package for performing transformations of dependency trees, SemanticGraph objects.
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| edu.stanford.nlp.semgraph.semgrex.ssurgeon.pred |
This contains predicate tests used in SsurgeonPattern objects.
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| edu.stanford.nlp.sentiment |
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| edu.stanford.nlp.sequences |
This package contains classes that support sequence modeling and
inference (CMMs and CRFs).
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| edu.stanford.nlp.simple |
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| edu.stanford.nlp.stats |
A set of tools for collecting, representing, and inferring with statistics.
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| edu.stanford.nlp.swing |
Collection of useful classes for building Swing GUIs.
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| edu.stanford.nlp.tagger |
This subpackage is a home for taggers.
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| edu.stanford.nlp.tagger.common |
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| edu.stanford.nlp.tagger.io |
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| edu.stanford.nlp.tagger.maxent |
A Maximum Entropy Part-of-Speech Tagger.
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| edu.stanford.nlp.tagger.maxent.documentation |
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| edu.stanford.nlp.tagger.util |
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| edu.stanford.nlp.time |
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| edu.stanford.nlp.time.suservlet |
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| edu.stanford.nlp.trees |
A package for (NLP) trees, sentences, and similar things.
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| edu.stanford.nlp.trees.international |
This package and its subpackages define processes related to
language-specific (or perhaps language- and corpus-specific)
processing.
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| edu.stanford.nlp.trees.international.arabic |
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| edu.stanford.nlp.trees.international.french |
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| edu.stanford.nlp.trees.international.hebrew |
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| edu.stanford.nlp.trees.international.hungarian |
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| edu.stanford.nlp.trees.international.italian |
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| edu.stanford.nlp.trees.international.negra |
Classes, and JFlex source file, for reading and tokenization of NEGRA
corpus export-format files.
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| edu.stanford.nlp.trees.international.pennchinese |
Classes, and JFlex source file, for reading, tokenization and manipulation of Penn Chinese Treebank (CTB)
export-format files.
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| edu.stanford.nlp.trees.international.spanish |
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| edu.stanford.nlp.trees.international.tuebadz |
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| edu.stanford.nlp.trees.treebank |
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| edu.stanford.nlp.trees.tregex |
A package for tree-pattern expressions and matching these expressions
to Tree instances.
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| edu.stanford.nlp.trees.tregex.gui |
A package for the graphical interface for Tregex and TSurgeon.
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| edu.stanford.nlp.trees.tregex.tsurgeon |
A package for performing
transformations of trees to be used in conjunction with
edu.stanford.nlp.trees.tregex.
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| edu.stanford.nlp.trees.ud |
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| edu.stanford.nlp.truecaser |
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| edu.stanford.nlp.ui |
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| edu.stanford.nlp.util |
A collection of useful general-purpose utility classes.
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| edu.stanford.nlp.util.concurrent |
A collection of useful thread-safe general-purpose utility classes.
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| edu.stanford.nlp.util.logging |
Contains the Redwood logging system that is the primary logging facade or system for Stanford CoreNLP.
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| edu.stanford.nlp.wordseg |
A package for doing Chinese word segmentation.
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| edu.stanford.nlp.wordseg.demo |
|