lucene的中文分词器

lucene的中文分词器到现在还没有好的解决办法。下边介绍了两个lucene自己提供的分词器和一个javaeye上的网友实现的分词器。关于各个分词器的不同见代码中的print信息。直接运行得到console的输出结果更容易对比不同。
package analyzer;

import java.io.Reader;
import java.io.StringReader;

import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.StopFilter;
import org.apache.lucene.analysis.Token;
import org.apache.lucene.analysis.TokenFilter;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.cjk.CJKAnalyzer;
import org.apache.lucene.analysis.cn.ChineseAnalyzer;
import org.apache.lucene.analysis.standard.StandardAnalyzer;
import org.mira.lucene.analysis.IK_CAnalyzer;
import org.mira.lucene.analysis.MIK_CAnalyzer;

import com.sohospace.lucene.analysis.xanalyzer.XAnalyzer;
import com.sohospace.lucene.analysis.xanalyzer.XFactory;
import com.sohospace.lucene.analysis.xanalyzer.XTokenizer;
//中文分词使用了Paoding的分词技术，特表示感谢
public class TestCJKAnalyzer {
    private static String testString1 = "中华人民共和国在1949年建立，从此开始了新中国的伟大篇章";
    private static String testString2 = "比尔盖茨从事餐饮业和服务业方面的工作";
    public static void testStandard(String testString) throws Exception{
        Analyzer analyzer = new StandardAnalyzer();     
        Reader r = new StringReader(testString);     
        StopFilter sf = (StopFilter) analyzer.tokenStream("", r);
        System.err.println("=====standard analyzer====");
        System.err.println("分析方法：默认没有词只有字");
        Token t;     
        while ((t = sf.next()) != null) {     
            System.out.println(t.termText());     
        }    
    }
    public static void testCJK(String testString) throws Exception{
        Analyzer analyzer = new CJKAnalyzer();     
        Reader r = new StringReader(testString);     
        StopFilter sf = (StopFilter) analyzer.tokenStream("", r);
        System.err.println("=====cjk analyzer====");
        System.err.println("分析方法:交叉双字分割");
        Token t;     
        while ((t = sf.next()) != null) {     
            System.out.println(t.termText());     
        }    
    }
    public static void testChiniese(String testString) throws Exception{
        Analyzer analyzer = new ChineseAnalyzer();     
        Reader r = new StringReader(testString);     
        TokenFilter tf = (TokenFilter) analyzer.tokenStream("", r);
        System.err.println("=====chinese analyzer====");
        System.err.println("分析方法:基本等同StandardAnalyzer");
        Token t;     
        while ((t = tf.next()) != null) {     
            System.out.println(t.termText());     
        }    
    }
    public static void testPaoding(String testString) throws Exception{
        XAnalyzer analyzer = XFactory.getQueryAnalyzer();  
        Reader r = new StringReader(testString);  
        XTokenizer ts = (XTokenizer) analyzer.tokenStream("", r);  
        System.err.println("=====paoding analyzer====");
        System.err.println("分析方法:字典分词,去掉停止词。在字典不能匹配的情况下使用CJKAnalyzer的分割发。");
        Token t;  
        while ((t = ts.next()) != null) {  
           System.out.println(t.termText());  
        }  
    }
    public static void testJe(String testString) throws Exception{
//        Analyzer analyzer = new MIK_CAnalyzer();
        Analyzer analyzer = new IK_CAnalyzer();
        Reader r = new StringReader(testString);
        TokenStream ts = (TokenStream)analyzer.tokenStream("", r);
        System.err.println("=====je analyzer====");
        System.err.println("分析方法:字典分词,正反双向搜索，具体不明");
        Token t;  
        while ((t = ts.next()) != null) {  
           System.out.println(t.termText());  
        }  
    }
    public static void main(String[] args) throws Exception{
//        String testString = testString1;
        String testString = testString1;
        System.out.println(testString);
       
        testStandard(testString);
        testCJK(testString);
        testPaoding(testString);
       
//        testChiniese(testString);
//        testJe(testString);
    }

}