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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.
package edu.stanford.nlp.international;
import edu.stanford.nlp.parser.lexparser.*;
import edu.stanford.nlp.util.StringUtils;
import java.util.Arrays;
/**
* Constants and parameters for multilingual NLP (primarily, parsing).
*
* @author Spence Green (original Languages class for parsing)
* @author Gabor Angeli (factor out Language enum)
*/
public enum Language {
Any( new EnglishTreebankParserParams()),
Arabic( new ArabicTreebankParserParams()),
Chinese( new ChineseTreebankParserParams()),
English( new EnglishTreebankParserParams(){{ setGenerateOriginalDependencies(true); }}),
German( new NegraPennTreebankParserParams()),
French( new FrenchTreebankParserParams()),
Hebrew( new HebrewTreebankParserParams()),
Spanish( new SpanishTreebankParserParams()),
UniversalChinese( new ChineseTreebankParserParams()),
UniversalEnglish( new EnglishTreebankParserParams()),
Unknown( new EnglishTreebankParserParams());
public static final String langList = StringUtils.join(Arrays.asList(Language.values()), " ");
public final TreebankLangParserParams params;
Language(TreebankLangParserParams params) {
this.params = params;
}
/**
* Returns whether these two languages can be considered compatible with each other.
* Mostly here to handle the "Any" language value.
*/
public boolean compatibleWith(Language other) {
return this == other || this == Any || other == Any;
}
}