org.ansj.splitWord.analysis.ToAnalysis Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of ansj_seg Show documentation
Show all versions of ansj_seg Show documentation
best java chinese word seg !
The newest version!
package org.ansj.splitWord.analysis;
import org.ansj.domain.Result;
import org.ansj.domain.Term;
import org.ansj.recognition.arrimpl.NumRecognition;
import org.ansj.recognition.arrimpl.PersonRecognition;
import org.ansj.recognition.arrimpl.UserDefineRecognition;
import org.ansj.splitWord.Analysis;
import org.ansj.util.AnsjReader;
import org.ansj.util.Graph;
import org.ansj.util.TermUtil.InsertTermType;
import org.nlpcn.commons.lang.tire.domain.Forest;
import java.io.Reader;
import java.util.ArrayList;
import java.util.List;
/**
* 标准分词
*
* @author ansj
*/
public class ToAnalysis extends Analysis {
@Override
protected List getResult(final Graph graph) {
Merger merger = new Merger() {
@Override
public List merger() {
graph.walkPath();
// 姓名识别
if (graph.hasPerson && isNameRecognition) {
// 人名识别
new PersonRecognition().recognition(graph);
}
// 数字发现
if (isNumRecognition) {
new NumRecognition(isQuantifierRecognition && graph.hasNumQua).recognition(graph);
}
// 用户自定义词典的识别
userDefineRecognition(graph, forests);
return getResult();
}
private void userDefineRecognition(final Graph graph, Forest... forests) {
new UserDefineRecognition(InsertTermType.SKIP, forests).recognition(graph);
graph.rmLittlePath();
graph.walkPathByScore();
}
private List getResult() {
List result = new ArrayList();
int length = graph.terms.length - 1;
for (int i = 0; i < length; i++) {
if (graph.terms[i] != null) {
setIsNewWord(graph.terms[i]) ;
result.add(graph.terms[i]);
}
}
setRealName(graph, result);
return result;
}
};
return merger.merger();
}
public ToAnalysis() {
super();
}
public ToAnalysis(Reader reader) {
super.resetContent(new AnsjReader(reader));
}
public static Result parse(String str) {
return new ToAnalysis().parseStr(str);
}
public static Result parse(String str, Forest... forests) {
return new ToAnalysis().setForests(forests).parseStr(str);
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy