Syntactic Phrase Reordering for English-to-Arabic Statistical Machine Translation
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@MISC{Badr_syntacticphrase,
author = {Ibrahim Badr and Rabih Zbib and James Glass},
title = {Syntactic Phrase Reordering for English-to-Arabic Statistical Machine Translation},
year = {}
}
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Abstract
Syntactic Reordering of the source language to better match the phrase structure of the target language has been shown to improve the performance of phrase-based Statistical Machine Translation. This paper applies syntactic reordering to English-to-Arabic translation. It introduces reordering rules, and motivates them linguistically. It also studies the effect of combining reordering with Arabic morphological segmentation, a preprocessing 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. 1
