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Stanford JavaNLP Maxent POS Tagger API Documentation

Packages 
Package Description
edu.stanford.nlp.graph  
edu.stanford.nlp.ie.machinereading.structure  
edu.stanford.nlp.ie.util  
edu.stanford.nlp.international  
edu.stanford.nlp.international.arabic  
edu.stanford.nlp.international.arabic.pipeline  
edu.stanford.nlp.international.arabic.process  
edu.stanford.nlp.international.french  
edu.stanford.nlp.international.french.process  
edu.stanford.nlp.international.morph  
edu.stanford.nlp.international.spanish  
edu.stanford.nlp.international.spanish.process  
edu.stanford.nlp.io
A few classes that augment the java.io package in useful ways for our applications.
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.
edu.stanford.nlp.ling.tokensregex
This package contains a library, TokensRegex, for matching regular expressions over tokens.
edu.stanford.nlp.ling.tokensregex.parser
edu.stanford.nlp.ling.tokensregex.types
This package contains various types and interfaces used when parsing TokensRegex patterns and rules.
edu.stanford.nlp.math
Classes for Simple Math Functionality, such as Min, Max, WeightedAverage, Scientific Notation, etc.
edu.stanford.nlp.maxent
This package deals with defining and solving maximum entropy problems.
edu.stanford.nlp.maxent.iis
This package contains an implementation of Improved Iterative Scaling.
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
Numerical optimization, including a conjugate gradient implementation.
edu.stanford.nlp.parser
This package contains a few simple interfaces for the parsers in the various subpackages.
edu.stanford.nlp.parser.lexparser
This package contains implementations of three probabilistic parsers for natural language text.
edu.stanford.nlp.parser.metrics  
edu.stanford.nlp.parser.tools  
edu.stanford.nlp.pipeline
Linguistic Annotation Pipeline
edu.stanford.nlp.process
Contains classes for processing documents.
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.
edu.stanford.nlp.semgraph.semgrex
A package for dependency graph (i.e.
edu.stanford.nlp.sequences
This package contains classes that support sequence modeling and inference (CMMs and CRFs).
edu.stanford.nlp.stats
A set of tools for collecting, representing, and inferring with statistics.
edu.stanford.nlp.tagger.common  
edu.stanford.nlp.tagger.io  
edu.stanford.nlp.tagger.maxent
A Maximum Entropy Part-of-Speech Tagger.
edu.stanford.nlp.tagger.maxent.documentation  
edu.stanford.nlp.trees
A package for (NLP) trees, sentences, and similar things.
edu.stanford.nlp.trees.international.arabic
A TreeNormalizer, HeadFinder, and TreebankLanguagePack for the Penn Arabic Treebank.
edu.stanford.nlp.trees.international.french
edu.stanford.nlp.trees.international.hebrew  
edu.stanford.nlp.trees.international.negra
Classes, and JFlex source file, for reading and tokenization of NEGRA corpus export-format files.
edu.stanford.nlp.trees.international.pennchinese
Classes, and JFlex source file, for reading, tokenization and manipulation of Penn Chinese Treebank (CTB) export-format files.
edu.stanford.nlp.trees.international.spanish  
edu.stanford.nlp.trees.treebank  
edu.stanford.nlp.trees.tregex
A package for tree-pattern expressions and matching these expressions to Tree instances.
edu.stanford.nlp.trees.tregex.tsurgeon
A package for performing transformations of trees to be used in conjunction with edu.stanford.nlp.trees.tregex.
edu.stanford.nlp.trees.ud  
edu.stanford.nlp.util
A collection of useful general-purpose utility classes.
edu.stanford.nlp.util.concurrent
A collection of useful thread-safe general-purpose utility classes.
edu.stanford.nlp.util.logging  
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