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best java chinese word seg !
package org.ansj.splitWord.analysis;
import java.io.Reader;
import java.util.ArrayList;
import java.util.HashSet;
import java.util.List;
import java.util.Set;
import org.ansj.app.crf.SplitWord;
import org.ansj.dic.LearnTool;
import org.ansj.domain.Nature;
import org.ansj.domain.NewWord;
import org.ansj.domain.Result;
import org.ansj.domain.Term;
import org.ansj.domain.TermNatures;
import org.ansj.library.UserDefineLibrary;
import org.ansj.recognition.arrimpl.AsianPersonRecognition;
import org.ansj.recognition.arrimpl.ForeignPersonRecognition;
import org.ansj.recognition.arrimpl.NewWordRecognition;
import org.ansj.recognition.arrimpl.NumRecognition;
import org.ansj.recognition.arrimpl.UserDefineRecognition;
import org.ansj.recognition.impl.NatureRecognition;
import org.ansj.splitWord.Analysis;
import org.ansj.util.AnsjReader;
import org.ansj.util.Graph;
import org.ansj.util.MyStaticValue;
import org.ansj.util.NameFix;
import org.ansj.util.TermUtil;
import org.ansj.util.TermUtil.InsertTermType;
import org.nlpcn.commons.lang.tire.domain.Forest;
import org.nlpcn.commons.lang.util.MapCount;
import org.nlpcn.commons.lang.util.WordAlert;
/**
* 自然语言分词,具有未登录词发现功能。建议在自然语言理解中用。搜索中不要用
*
* @author ansj
*
*/
public class NlpAnalysis extends Analysis {
private LearnTool learn = null;
private static final String TAB = "\t";
private static final int CRF_WEIGHT = 6;
private SplitWord splitWord = MyStaticValue.getCRFSplitWord();
@Override
protected List getResult(final Graph graph) {
Merger merger = new Merger() {
@Override
public List merger() {
if (learn == null) {
learn = new LearnTool();
}
graph.walkPath();
learn.learn(graph, splitWord);
// 姓名识别
if (graph.hasPerson && MyStaticValue.isNameRecognition) {
// 亚洲人名识别
new AsianPersonRecognition().recognition(graph.terms);
graph.walkPathByScore();
NameFix.nameAmbiguity(graph.terms);
// 外国人名识别
new ForeignPersonRecognition().recognition(graph.terms);
graph.walkPathByScore();
}
if (splitWord != null) {
MapCount mc = new MapCount();
// 通过crf分词
List words = splitWord.cut(graph.chars);
Term tempTerm = null;
int tempOff = 0;
if (words.size() > 0) {
String word = words.get(0);
if (!isRuleWord(word)) {
mc.add("始##始" + TAB + word, CRF_WEIGHT);
}
}
for (String word : words) {
TermNatures termNatures = NatureRecognition.getTermNatures(word); // 尝试从词典获取词性
Term term = null;
if (termNatures != TermNatures.NULL) {
term = new Term(word, tempOff, termNatures);
} else {
term = new Term(word, tempOff, TermNatures.NW);
term.setNewWord(true);
}
tempOff += word.length(); // 增加偏移量
if (term.isNewWord() && isRuleWord(word)) { // 如果word不对那么不要了
tempTerm = null;
continue;
}
if (term.isNewWord()) { // 尝试猜测词性
termNatures = NatureRecognition.guessNature(word);
term.updateTermNaturesAndNature(termNatures);
}
TermUtil.insertTerm(graph.terms, term, InsertTermType.SCORE_ADD_SORT);
// 对于非词典中的词持有保守态度
if (tempTerm != null && !tempTerm.isNewWord() && !term.isNewWord()) {
mc.add(tempTerm.getName() + TAB + word, CRF_WEIGHT);
}
tempTerm = term;
if (term.isNewWord()) {
learn.addTerm(new NewWord(word, Nature.NW));
}
}
if (tempTerm != null && !tempTerm.isNewWord()) {
mc.add(tempTerm.getName() + TAB + "末##末", CRF_WEIGHT);
}
graph.walkPath(mc.get());
} else {
MyStaticValue.LIBRARYLOG.warn("not find any crf model, make sure your config right? ");
}
// 数字发现
if (graph.hasNum && MyStaticValue.isNumRecognition) {
new NumRecognition().recognition(graph.terms);
}
// 词性标注
List result = getResult();
// 用户自定义词典的识别
new UserDefineRecognition(InsertTermType.SCORE_ADD_SORT, forests).recognition(graph.terms);
graph.rmLittlePath();
graph.walkPathByScore();
// 进行新词发现
new NewWordRecognition(learn).recognition(graph.terms);
graph.walkPathByScore();
// 优化后重新获得最优路径
result = getResult();
// 激活辞典
for (Term term : result) {
learn.active(term.getName());
}
setRealName(graph, result);
return result;
}
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) {
continue;
}
result.add(graph.terms[i]);
}
return result;
}
};
return merger.merger();
}
// 临时处理新词中的特殊字符
private static final Set filter = new HashSet();
static {
filter.add(':');
filter.add('：');
filter.add(' ');
filter.add('，');
filter.add('”');
filter.add('“');
filter.add('？');
filter.add('。');
filter.add('！');
filter.add('。');
filter.add(',');
filter.add('.');
filter.add('、');
filter.add('\\');
filter.add('；');
filter.add(';');
filter.add('？');
filter.add('?');
filter.add('!');
filter.add('\"');
filter.add('（');
filter.add('）');
filter.add('(');
filter.add(')');
filter.add('…');
filter.add('…');
filter.add('—');
filter.add('-');
filter.add('－');
filter.add('—');
filter.add('《');
filter.add('》');
}
/**
* 判断新词识别出来的词是否可信
*
* @param word
* @return
*/
public static boolean isRuleWord(String word) {
char c = 0;
for (int i = 0; i < word.length(); i++) {
c = word.charAt(i);
if (c != '·') {
if (c < 256 || filter.contains(c) || (c = WordAlert.CharCover(word.charAt(i))) > 0) {
return true;
}
}
}
return false;
}
public NlpAnalysis setCrfModel(SplitWord splitWord) {
this.splitWord = splitWord;
return this;
}
public NlpAnalysis setCrfModel(String key) {
this.splitWord = MyStaticValue.getCRFSplitWord(key);
return this;
}
public NlpAnalysis setLearnTool(LearnTool learn) {
this.learn = learn;
return this;
}
/**
* 用户自己定义的词典
*
* @param forest
*/
public NlpAnalysis(Forest... forests) {
if (forests == null) {
forests = new Forest[] { UserDefineLibrary.FOREST };
}
this.forests = forests;
}
public NlpAnalysis(Reader reader, Forest... forests) {
this.forests = forests;
super.resetContent(new AnsjReader(reader));
}
public static Result parse(String str) {
return new NlpAnalysis().parseStr(str);
}
public static Result parse(String str, Forest... forests) {
return new NlpAnalysis(forests).parseStr(str);
}
}