Simplistic noun-phrase chunking with POS tags in Java

I needed to extract Noun-Phrases from text. The way this is generally done is using Part-of-Speech (POS) tags. OpenNLP has a both a POS-tagger as well as a Noun-Phrase chunker. However, it's really really really slow!

I decided to look into alternatives, and chanced upon QTag.

QTag is a "freely available, language independent POS-Tagger. It is implemented in Java, and has been successfully tested on Mac OS X, Linux, and Windows."

It's waaay faster than OpenNLP for POS-tagging, though I haven't done any benchmarks as to a accuracy.

Here's my really simplistic but adequate implementation of noun-phrase chunking using QTag.

private Qtag qt;
  public static List<String> chunkQtag(String str) throws IOException {
    List<String> result = new ArrayList<String>();
    if (qt == null) {
      qt = new Qtag("lib/english");
      qt.setOutputFormat(2);
    }

    String[] split = str.split("\n");
    for (String line : split) {
      String s = qt.tagLine(line, true);
      String lastTag = null;
      String lastToken = null;
      StringBuilder accum = new StringBuilder();
      for (String token : s.split("\n")) {
        String[] s2 = token.split("\t");
        if (s2.length < 2) continue;
        String tag = s2[1];

        if (tag.equals("JJ")
            || tag.startsWith("NN")
            || tag.startsWith("??")
            || (lastTag != null && lastTag.startsWith("NN") && s2[0].equalsIgnoreCase("of"))
            || (lastToken != null && lastToken.equalsIgnoreCase("of") && s2[0].equalsIgnoreCase("the"))
            ) {
          accum.append(s2[0]).append("-");
        } else {
          if (accum.length() > 0) {
            accum.deleteCharAt(accum.length() - 1);
            result.add(accum.toString());
            accum = new StringBuilder();
          }
        }
        lastTag = tag;
        lastToken = s2[0];
      }
      if (accum.length() > 0) {
        accum.deleteCharAt(accum.length() - 1);
        result.add(accum.toString());
      }
    }
    return result;
  }

The method returns a list of noun phrases.