String text="我是**人";
        NLPIRTokenizerAnalyzer nta = new NLPIRTokenizerAnalyzer("", 1, "", "", false);
        TokenStream  ts  = nta.tokenStream("word", text);  
        ts.reset();
        CharTermAttribute  term = ts.getAttribute(CharTermAttribute.class);
        while(ts.incrementToken()){
            System.out.println(term.toString());
        }
        ts.end();
        ts.close();
        nta.close();

        //For indexing
        NLPIRTokenizerAnalyzer nta = new NLPIRTokenizerAnalyzer("", 1, "", "", false);
        IndexWriterConfig inconf=new IndexWriterConfig(nta);
        inconf.setOpenMode(OpenMode.CREATE_OR_APPEND);
        IndexWriter index=new IndexWriter(FSDirectory.open(Paths.get("index/")),inconf);
        Document doc = new Document();
        doc.add(new TextField("contents", "特朗普表示，很高兴汉堡会晤后再次同***主席通话。我同习主席就重大问题保持沟通和协调、两国加强各层级和各领域交往十分重要。当前，美中关系发展态势良好，我相信可以发展得更好。我期待着对**进行国事访问。",Field.Store.YES));
        index.addDocument(doc);
        index.flush();
        index.close();
        //for searching
        String field = "contents";
        IndexReader reader = DirectoryReader.open(FSDirectory.open(Paths.get("index/")));
        IndexSearcher searcher = new IndexSearcher(reader);
        QueryParser parser = new QueryParser(field, nta);
        Query query = parser.parse("特朗普***");
        TopDocs top=searcher.search(query, 100);
        ScoreDoc[] hits = top.scoreDocs;
        for(int i=0;i<hits.length;i++) {
          System.out.println("doc="+hits[i].doc+" score="+hits[i].score);
          Document d = searcher.doc(hits[i].doc);
          System.out.println(d.get("contents"));
        }