Handling phrase reorderings for machine translation

We propose a distance phrase reordering model (DPR) for statistical machine translation (SMT), where the aim is to capture phrase reorderings using a structure learning framework. On both the reordering classification and a Chinese-to-English translation task, we show improved performance over a baseline SMT system.

• Type: Journal
• Year: 2009
• Where: ACL
• Authors: Yizhao Ni, Craig Saunders, Sándor Szedmák, Mahesan Niranjan
• Keywords: ACL 2009, Chinese-to-English Translation Task, Computational Linguistics, Distance Phrase, Statistical Machine Translation