A hierarchical phrase-based model for statistical machine translation

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A hierarchical phrase-based model for statistical machine translation (2005)

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by David Chiang

Venue:	IN ACL
Citations:	491 - 12 self

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@INPROCEEDINGS{Chiang05ahierarchical,
    author = {David Chiang},
    title = {A hierarchical phrase-based model for statistical machine translation},
    booktitle = {IN ACL},
    year = {2005},
    pages = {263--270},
    publisher = {}
}

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Abstract

We present a statistical phrase-based translation model that uses hierarchical phrases— phrases that contain subphrases. The model is formally a synchronous context-free grammar but is learned from a bitext without any syntactic information. Thus it can be seen as a shift to the formal machinery of syntaxbased translation systems without any linguistic commitment. In our experiments using BLEU as a metric, the hierarchical phrasebased model achieves a relative improvement of 7.5 % over Pharaoh, a state-of-the-art phrase-based system.

Keyphrases

statistical machine translation hierarchical phrase-based model statistical phrase-based translation model linguistic commitment syntactic information contain subphrases syntaxbased translation system state-of-the-art phrase-based system formal machinery synchronous context-free grammar hierarchical phrasebased model relative improvement hierarchical phrase

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