nlp实现词性标注+分句

public List<String> getTag(String text){

List<String> lists=new ArrayList<String>();

   @SuppressWarnings("unchecked")

   List<List<HasWord>> sentences = tagger.tokenizeText(new StringReader(text));//tagger.tokenizeText(new BufferedReader(new FileReader(args[1])));

   for (List<HasWord> sentence : sentences) {

     ArrayList<TaggedWord> tSentence = tagger.tagSentence(sentence);

     String sence="";

     for(TaggedWord tw:tSentence){

     String word=tw.word();

     String tag=tw.tag();

     if(word.equals("-LRB-")){

     word="(";

     }

     if(word.equals("-RRB-")){

     word=")";

     }

     if(sence.length()>0){

     sence=sence+" "+word+"<font color='red'>/"+tag+"</font>";

     }else{

     sence=word+"<font color='red'>/"+tag+"</font>";

     }

     }

     lists.add(sence);

   }

return lists;

}

 public List<String> getClause(String args){

List<String> lists=new ArrayList<String>();

String line;

List<List<HasWord>> sentences = tagger.tokenizeText(new StringReader(args));//tagger.tokenizeText(new BufferedReader(new FileReader(args[1])));

for (List<HasWord> sentence : sentences) {

line="";

 ArrayList<TaggedWord> tSentence = tagger.tagSentence(sentence);

 for(TaggedWord tw:tSentence){

 if(line.length()>0){

 line=line+" "+tw.word();

 }else{

 line=tw.word();

 }

 }

 lists.add(line+"<font color='red'>/end</font>");

}

return lists;

}