lucene分词器分词demo

package com.jiepu.lucene_49;

//lucene不同分词测试,来至：http://blog.zzzhc.com/blogs/86/
import java.io.IOException;
import java.io.StringReader;
import java.util.HashSet;
import java.util.Iterator;

import net.paoding.analysis.analyzer.PaodingAnalyzer;

import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.cjk.CJKAnalyzer;
import org.apache.lucene.analysis.cn.SmartChineseAnalyzer;
import org.apache.lucene.analysis.core.SimpleAnalyzer;
import org.apache.lucene.analysis.standard.StandardAnalyzer;
import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
import org.apache.lucene.analysis.tokenattributes.OffsetAttribute;
import org.apache.lucene.analysis.tokenattributes.TypeAttribute;
import org.apache.lucene.util.Attribute;
import org.apache.lucene.util.Version;
import org.lionsoul.jcseg.analyzer.JcsegAnalyzer4X;
import org.wltea.analyzer.lucene.IKAnalyzer;

import com.chenlb.mmseg4j.analysis.MMSegAnalyzer;

public class CNAnalyzerBenchmark {

	public static void main(String[] args) throws IOException {
		
		testAnalyzer(new CJKAnalyzer(Version.LUCENE_43));

		
		IKAnalyzer ikAnalyzer = new IKAnalyzer();
		testAnalyzer(ikAnalyzer);

		PaodingAnalyzer paodingAnalyzer = new PaodingAnalyzer();
		testAnalyzer(paodingAnalyzer);

		SmartChineseAnalyzer smartChineseAnalyzer = new SmartChineseAnalyzer(
				false);
		testAnalyzer(smartChineseAnalyzer);

		StandardAnalyzer standardAnalyzer = new StandardAnalyzer(
				Version.LUCENE_31);
		testAnalyzer(standardAnalyzer);

		MMSegAnalyzer mmsegAnalyzer = new MMSegAnalyzer();
		testAnalyzer(mmsegAnalyzer);
		
		testAnalyzer(new JcsegAnalyzer4X(0));
		
		testAnalyzer(new SimpleAnalyzer(Version.LUCENE_30));
	}

	static void testAnalyzer(Analyzer a) throws IOException {
		String data = "中文(chinese)与西方语言最大的区别" + "就在于语句的词汇之间没有明显的分词界限，"
				+ "但是计算机自然语言处理是按词汇来进行分析的，" + "因此中文分词的效果直接影响中文检索和自然语言处理的准确性。";
		StringBuilder ss = new StringBuilder();
		for (int i = 0; i < 1; i++) {
			ss.append(data);
		}
		String s = ss.toString();

		long startTime = System.currentTimeMillis();

		
		TokenStream stream = a.tokenStream("", new StringReader(s));
		Iterator<Class<? extends Attribute>> iterator = stream
				.getAttributeClassesIterator();
		while (iterator.hasNext()) {
			Class<? extends Attribute> attrClass = iterator.next();
			System.out.println(attrClass.getSimpleName());
		}
		//stream = a.tokenStream("", new StringReader(s));
		OffsetAttribute offset = stream.addAttribute(OffsetAttribute.class);
		// 获取词元文本属性
		CharTermAttribute term = stream.addAttribute(CharTermAttribute.class);
		// 获取词元文本属性
		TypeAttribute type = stream.addAttribute(TypeAttribute.class);
		stream.reset();
		while (stream.incrementToken()) {
			System.out.print(offset.startOffset() + "-"
					+ offset.endOffset() + ":" + term.toString());

		}
		System.out.println();
		long endTime = System.currentTimeMillis();
		double seconds = (endTime - startTime) / 1000.0;
		System.out.println("chars=" + s.length() + ",time=" + seconds
				+ "seconds" + ",speed=" + (int) (s.length() / seconds)
				+ " chars/second");
		stream.end();
		stream.close();

		
	}
}