Paper: Reducing SMT Rule Table with Monolingual Key Phrase

ACL ID P09-2031
Title Reducing SMT Rule Table with Monolingual Key Phrase
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2009
Authors

This paper presents an effective approach to discard most entries of the rule table for statistical machine translation. The rule ta- ble is filtered by monolingual key phrases, which are extracted from source text us- ing a technique based on term extraction. Experiments show that 78% of the rule ta- ble is reduced without worsening trans- lation performance. In most cases, our approach results in measurable improve- ments in BLEU score.