import opennlp.tools.postag.POSTagger; //导入依赖的package包/类
public void apply(Document doc) {
	NodeTVar<Token> T = Token.var();
	NodeTVar<Sentence> S = Sentence.var();

       POSTagger posTagger = taggers.get();

       List<PropositionGroup> query =
			 doc.select(S, T)
				.where(T)
				.coveredBy(S)
				.stream()
				.collect(QueryCollectors.groupBy(doc, S).orderByKey(S).orderByValue(T).collector());

	for (PropositionGroup proposition : query) {
		String[] tokens = new String[proposition.size()];

		int i = 0;
		for (Token item : proposition.nodes(T)) {
			tokens[i++] = item.text();
		}

		String[] postags = posTagger.tag(tokens);
		for(i = 0; i <  proposition.size(); i++) {
			proposition.value(i, T).putProperty(TokenProperties.POS, postags[i]);
		}
	}
}
 

import opennlp.tools.postag.POSTagger; //导入依赖的package包/类
@Override
protected POSTagger initialValue() {
    return new POSTaggerME(model);
}
 

import opennlp.tools.postag.POSTagger; //导入依赖的package包/类
public Parser(ParserModel model, int beamSize, double advancePercentage, POSTagger tagger) {
  super(model, beamSize, advancePercentage);
  this.tagger = tagger;
}
 

import opennlp.tools.postag.POSTagger; //导入依赖的package包/类
public POSTagger getPosTagger() {
	return _posTagger;
}
 

import opennlp.tools.postag.POSTagger; //导入依赖的package包/类
/**
 * Constructs a new {@link OpenNlpSentenceChunker} object using the provided
 * OpenNLP objects.
 * 
 * @param tokenizer
 * @param posTagger
 * @param chunker
 */
public OpenNlpSentenceChunker(Tokenizer tokenizer, POSTagger posTagger, Chunker chunker) {
	this.tokenizer = tokenizer;
	this.posTagger = posTagger;
	this.chunker = chunker;
}