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Stanford CoreNLP provides a set of natural language analysis tools which can take raw English language text input and give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize dates, times, and numeric quantities, mark up the structure of sentences in terms of phrases and word dependencies, and indicate which noun phrases refer to the same entities. It provides the foundational building blocks for higher level text understanding applications.
/**
* A package for doing Chinese word segmentation.
*
* This package makes use of the CRFClassifier class (a conditional random
* field sequence classifier) to do Chinese word segmentation.
*
*
* On the Stanford NLP machines, usable properties files can be found at:
* /u/nlp/data/chinese-segmenter/Sighan2005/prop
*
*
* Usage: For simplified Chinese:
*
*
* java -mx200m edu.stanford.nlp.ie.crf.CRFClassifier -sighanCorporaDict $CH_SEG/data -NormalizationTable $CH_SEG/data/norm.simp.utf8 -normTableEncoding UTF-8 -loadClassifier $CH_SEG/data/ctb.gz -testFile $file -inputEncoding $enc
*
*
* @author Pi-Chuan Chang
* @author Huihsin Tseng
* @author Galen Andrew
*/
package edu.stanford.nlp.wordseg;