Improving Statistical Machine Translation Using Domain Bilingual Multiword Expressions
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چکیده
Multiword expressions (MWEs) have been proved useful for many natural language processing tasks. However, how to use them to improve performance of statistical machine translation (SMT) is not well studied. This paper presents a simple yet effective strategy to extract domain bilingual multiword expressions. In addition, we implement three methods to integrate bilingual MWEs to Moses, the state-ofthe-art phrase-based machine translation system. Experiments show that bilingual MWEs could improve translation performance significantly.
منابع مشابه
Mining a Bilingual Lexicon of MultiWord Expressions : A Statistical Machine Translation Evaluation Perspective (Acquisition de lexique bilingue d'expressions polylexicales: Une application à la traduction automatique statistique) [in French]
Mining a Bilingual Lexicon of MultiWord Expressions : A Statistical Machine Translation Evaluation Perspective This paper describes a method aiming to construct a bilingual lexicon of MultiWord Expressions (MWES) from a French-English parallel corpus. We first extract monolingual MWES from each part of the parallel corpus. The second step consists in acquiring bilingual correspondences of MWEs....
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تاریخ انتشار 2009