Syntactic Phrase Reordering for English-to-Arabic Statistical Machine Translation
Syntactic Phrase Reordering for English-to-Arabic Statistical Machine Translation
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DOI：
10.3115/1609067.1609076
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发表时间：
2009-03
期刊：
影响因子：
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通讯作者：
Ibrahim Badr;Rabih Zbib;James R. Glass
中科院分区：
文献类型：
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作者：
Ibrahim Badr;Rabih Zbib;James R. Glass
研究表明，对源语言进行句法重新排序以更好地匹配目标语言的短语结构，可以提高基于短语的统计机器翻译的性能。本文将句法重排应用于英译阿翻译中。它引入了重新排序规则，并从语言上激励它们。它还研究了将重新排序与阿拉伯形态分割相结合的效果，这是一种已被证明可以改善阿拉伯-英语和英语-阿拉伯翻译的预处理技术。我们在新闻文本领域、联合国文本领域和旅行演讲领域报告结果。
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.