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Posted to issues@opennlp.apache.org by "Eugen Hanussek (JIRA)" <ji...@apache.org> on 2014/08/07 13:39:11 UTC

[jira] [Created] (OPENNLP-711) SentenceDetectorME::sentPosDetect() with useTokenEnd=false

Eugen Hanussek created OPENNLP-711:
--------------------------------------

             Summary: SentenceDetectorME::sentPosDetect() with useTokenEnd=false
                 Key: OPENNLP-711
                 URL: https://issues.apache.org/jira/browse/OPENNLP-711
             Project: OpenNLP
          Issue Type: Bug
          Components: Sentence Detector
    Affects Versions: 1.6.0
            Reporter: Eugen Hanussek
            Priority: Minor


I trained the SentenceModel with a german korpus and wondered about the results for the following input (a mark indicates the expected split):
{code:xml}
"I am hungry.Ich bin Mr. Bean.Ein guter Satz."
             ^                ^
{code}
The result was 3 sentences. Good, but the split was not at the eosChar. It was after the token with the eosChar: "I am hungry.Ich" , "bin Mr. Bean.Ein", ...

After some debugging I found out that I have to set useTokenEnd=false.
And then I found a *little bug in SentenceDetectorME* when the span is calculated:
{code:java}
  public Span[] sentPosDetect(String s) {
...
      if (bestOutcome.equals(SPLIT) && isAcceptableBreak(s, index, cint)) {
        if (index != cint) {
          if (useTokenEnd) {
            positions.add(getFirstNonWS(s, getFirstWS(s,cint + 1)));
          }
          else {
            positions.add(getFirstNonWS(s,cint)); // this should be positions.add(getFirstNonWS(s,cint + 1)); 
          }
          sentProbs.add(probs[model.getIndex(bestOutcome)]);
        }
        index = cint + 1;
      }
...
{code}

This change has only impact on models with useTokenEnd=false



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