2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/31477Compounded 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.8 pages, 2 figures. Published at EACL 2003Computation and LanguageI.2.7text