Empirical Methods for Compound Splitting

Details Empirical Methods for Compound Splitting Empirical Methods for Compound Splitting

2003-02-22

arxiv.org/abs/cs/0302032v1

Computer Science

Computation and Language

8 pages, 2 figures. Published at EACL 2003

Scientific paper

Compounded words are a challenge for NLP applications such as machine translation (MT). We introduce methods to learn splitting rules from monolingual and parallel corpora. We evaluate them against a gold standard and measure their impact on performance of statistical MT systems. Results show accuracy of 99.1% and performance gains for MT of 0.039 BLEU on a German-English noun phrase translation task.

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