import org.wltea.analyzer.cfg.DefaultConfig; //导入依赖的package包/类
public static List<String> getIKAnalyzerResult(String originTxt, boolean useSmart, Collection<String> words)throws Exception{
	if(originTxt == null || originTxt.trim().equals("")){
		return null;
	}
	
	//如下代码为动态增加新词的办法，可以完善成动态加载的接口
	if(null != words && words.size() != 0){
		Configuration cfg = DefaultConfig.getInstance();
		Dictionary dic = Dictionary.initial(cfg);
		dic = Dictionary.getSingleton();
		dic.addWords(words);
	}
	
	InputStream in = new ByteArrayInputStream(originTxt.getBytes());
	IKSegmenter ik = new IKSegmenter(new InputStreamReader(in), useSmart);
	
	List<String> result = new ArrayList<String>();
	Lexeme t = null;
	while( (t=ik.next()) != null){
		result.add(t.getLexemeText());
	}
	return result;
}
 

import org.wltea.analyzer.cfg.DefaultConfig; //导入依赖的package包/类
@Override
protected TokenStreamComponents createComponents(String fieldName, Reader reader) {
    Tokenizer token = new IKTokenizer(reader, useSmart);
    Map<String, String> paramsMap = new HashMap<String, String>();
    Configuration cfg = DefaultConfig.getInstance();
    paramsMap.put("luceneMatchVersion", luceneMatchVersion.toString());
    paramsMap.put("synonyms", cfg.getExtSynonymDictionarys().get(0));
    paramsMap.put("ignoreCase", "true");
    SynonymFilterFactory factory = new SynonymFilterFactory(paramsMap);
    ResourceLoader loader = new ClasspathResourceLoader();
    try {
        factory.inform(loader);
    } catch (IOException e) {
        e.printStackTrace();
    }
    return new TokenStreamComponents(token, factory.create(token));
}
 

import org.wltea.analyzer.cfg.DefaultConfig; //导入依赖的package包/类
/**
 * IK分词器构造函数
 * @param input 
 * @param useSmart 为true，使用智能分词策略
 * 
 * 非智能分词：细粒度输出所有可能的切分结果
 * 智能分词： 合并数词和量词，对分词结果进行歧义判断
 */
public IKSegmenter(Reader input , boolean useSmart){
	this.input = input;
	this.cfg = DefaultConfig.getInstance();
	this.cfg.setUseSmart(useSmart);
	this.init();
}