Lucene5.x 中文 同义词

查询好好多资料，英文同义词好好的，中文就不行，多谢网友支持，拼接了好多代码，然后修改了一些，不足之处，多谢指正。

直接上代码吧，在代码中了解怎么分词的最好

1,创建分词引擎

 public interface SamewordContext {
     String[] getSamewords(String name);
 }

2,同义词

 import java.util.HashMap;
 import java.util.Map;

 public class SimpleSamewordContext implements SamewordContext {
     Map<String,String[]> maps = new HashMap<String,String[]>();
     public SimpleSamewordContext() {
         maps.put("中国",new String[]{"天朝","大陆"});
         maps.put("我家",new String[]{"family","伐木累"});
     }
     @Override
     public String[] getSamewords(String name) {
         // TODO Auto-generated method stub
         return maps.get(name);
     }
 }

3,TokenFilter

import java.io.IOException;
import java.util.Stack;

import org.apache.lucene.analysis.TokenFilter;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
import org.apache.lucene.analysis.tokenattributes.PositionIncrementAttribute;
import org.apache.lucene.util.AttributeSource;

public class MySameTokenFilter extends TokenFilter {
    private CharTermAttribute cta = null;
    private PositionIncrementAttribute pia = null;
    private AttributeSource.State current;
    private Stack<String> sames = null;
    private SamewordContext samewordContext;

    protected MySameTokenFilter(TokenStream input,SamewordContext samewordContext) {
        super(input);
        cta = this.addAttribute(CharTermAttribute.class);
        pia = this.addAttribute(PositionIncrementAttribute.class);
        sames = new Stack<String>();
        this.samewordContext = samewordContext;
    }

    @Override
    public boolean incrementToken() throws IOException {
        if(sames.size()>0) {
            //将元素出栈，并且获取这个同义词
            String str = sames.pop();
            //还原状态
            restoreState(current);
            cta.setEmpty();
            cta.append(str);
            //设置位置0
            pia.setPositionIncrement(0);
            return true;
        }

        if(!this.input.incrementToken()) return false;

        if(addSames(cta.toString())) {
            //如果有同义词将当前状态先保存
            current = captureState();
        }
        return true;
    }

    private boolean addSames(String name) {
        String[] sws = samewordContext.getSamewords(name);
        if(sws!=null) {
            for(String str:sws) {
                sames.push(str);
            }
            return true;
        }
        return false;
    }

}

4,Analyzer

import java.io.Reader;
import java.io.StringReader;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.core.LowerCaseFilter;
import org.apache.lucene.analysis.core.StopAnalyzer;
import org.apache.lucene.analysis.core.StopFilter;
import org.wltea.analyzer.lucene.IKTokenizer;

import com.chenlb.mmseg4j.analysis.MMSegAnalyzer;

public class MySameworkAnalyzer extends MMSegAnalyzer {
    private SamewordContext samewordContext;

    public MySameworkAnalyzer(SamewordContext samewordContext) {
        // TODO Auto-generated constructor stub
        this.samewordContext = samewordContext;
    }

    @Override
    protected TokenStreamComponents createComponents(String text) {
        Reader in = new StringReader(text);
        IKTokenizer tokenizer = new IKTokenizer(in , true);
        TokenStream tokenStream = new MySameTokenFilter(tokenizer,
                samewordContext);
        tokenStream = new LowerCaseFilter(tokenStream);
        tokenStream = new StopFilter(tokenStream,
                StopAnalyzer.ENGLISH_STOP_WORDS_SET);
        return new TokenStreamComponents(tokenizer, tokenStream);
    }

}

5，测试

@Test
    public void test01() {
         String text = "我家在中国";
         Analyzer analyzer = new MySameworkAnalyzer(new SimpleSamewordContext());
         AnalyzerUtils.displayAllToken(text,analyzer);
    }

运行结果：