AAAI Publications, Thirtieth AAAI Conference on Artificial Intelligence

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Syntactic Skeleton-Based Translation
Tong Xiao, Jingbo Zhu, Chunliang Zhang, Tongran Liu

Last modified: 2016-03-05

Abstract


In this paper we propose an approach to modeling syntactically-motivated skeletal structure of source sentence for machine translation. This model allows for application of high-level syntactic transfer rules and low-level non-syntactic rules. It thus involves fully syntactic, non-syntactic, and partially syntactic derivations via a single grammar and decoding paradigm. On large-scale Chinese-English and English-Chinese translation tasks, we obtain an average improvement of +0.9 BLEU across the newswire and web genres.

Keywords


Statistical Machine Translation; Syntax-Based Model

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