NLP.java

import java.io.IOException;
import java.io.PrintWriter;
import java.util.List;

import edu.stanford.nlp.io.IOUtils;
import edu.stanford.nlp.ling.CoreAnnotations;
import edu.stanford.nlp.pipeline.*;
import edu.stanford.nlp.trees.*;
import edu.stanford.nlp.util.CoreMap;


public class NLP {

    public NLP() {
        // TODO Auto-generated constructor stub
    }


     public static void main(String[] args) throws IOException {
            PrintWriter out;
            if (args.length > 1) {
              out = new PrintWriter(args[1]);
            } else {
              out = new PrintWriter(System.out);
            }
            PrintWriter xmlOut = null;
            if (args.length > 2) {
              xmlOut = new PrintWriter(args[2]);
            }

            StanfordCoreNLP pipeline = new StanfordCoreNLP();
            Annotation annotation;
            if (args.length > 0) {
              annotation = new Annotation(IOUtils.slurpFileNoExceptions(args[0]));
            } else {
              annotation = new Annotation("Kosgi Santosh sent an email to Stanford University. He didn't get a reply.");
            }

            pipeline.annotate(annotation);
            pipeline.prettyPrint(annotation, out);
            if (xmlOut != null) {
              pipeline.xmlPrint(annotation, xmlOut);
            }
            // An Annotation is a Map and you can get and use the various analyses individually.
            // For instance, this gets the parse tree of the first sentence in the text.
            List<CoreMap> sentences = annotation.get(CoreAnnotations.SentencesAnnotation.class);
            if (sentences != null && sentences.size() > 0) {
              CoreMap sentence = sentences.get(0);
              Tree tree = sentence.get(TreeCoreAnnotations.TreeAnnotation.class);
              out.println();
              out.println("The first sentence parsed is:");
              tree.pennPrint(out);
            }
          }
}