Paper: Syntactic Phrase Reordering for English-to-Arabic Statistical Machine Translation

ACL ID E09-1011
Title Syntactic Phrase Reordering for English-to-Arabic Statistical Machine Translation
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2009
Authors

Syntactic Reordering of the source lan- guage to better match the phrase struc- ture of the target language has been shown to improve the performance of phrase-based Statistical Machine Transla- tion. This paper applies syntactic reorder- ing to English-to-Arabic translation. It in- troduces reordering rules, and motivates them linguistically. It also studies the ef- fect of combining reordering with Ara- bic morphological segmentation, a pre- processing technique that has been shown to improve Arabic-English and English- Arabic translation. We report on results in the news text domain, the UN text domain and in the spoken travel domain.