FoolNLTK 是一款基于深度学习的中文文本处理工具，暂时包含分词，词性标注，实体识别。现发布 Java 版。
<dependency>  <groupId>me.midday</groupId>  <artifactId>JFoolNLTK</artifactId>  <version>1.0</version></dependency>

Example
// 单文本 String text = "北京欢迎你"; LexicalAnalyzer lexicalAnalyzer = FoolNLTK.getLSTMLexicalAnalyzer(); // 分词 List<List<Word>> words = lexicalAnalyzer.cut(text); for(List<Word> ws: words){
    ws.forEach(System.out::println); } // 词性标注 List<List<Word>> posWords = lexicalAnalyzer.pos(text); for(List<Word> ws: posWords){
    ws.forEach(System.out::println); } // 实体识别 List<List<Entity>>  entities = lexicalAnalyzer.ner(text);  for(List<Entity> ents :entities){
    ents.forEach(System.out::println); } // 分词，词性，实体识别 List<AnalysisResult>  results = lexicalAnalyzer.analysis(text); results.forEach(System.out::println);   // 多文本  System.out.println(); 
System.out.println("多文本："); 
List<String> docs = new ArrayList<>(); 
docs.add(text); docs.add(text); // 分词 List<List<Word>> dWords = lexicalAnalyzer.cut(docs); for(List<Word> ws: dWords){
    ws.forEach(System.out::println); } // 词性标注 List<List<Word>> dPosWords = lexicalAnalyzer.pos(docs); for(List<Word> ws: dPosWords){
    ws.forEach(System.out::println); }
List<List<Entity>>  dEntities = lexicalAnalyzer.ner(docs);  for(List<Entity> ents :dEntities){
    ents.forEach(System.out::println); } // 分词, 词性标注，实体识别 List<AnalysisResult>  dResults = lexicalAnalyzer.analysis(docs); dResults.forEach(System.out::println);