Forest rescoring: Faster decoding with integrated language models

Forest rescoring: Faster decoding with integrated language models (2007)

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by Liang Huang , David Chiang

Venue:	In ACL ’07
Citations:	30 - 0 self

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@INPROCEEDINGS{Huang07forestrescoring:,
    author = {Liang Huang and David Chiang},
    title = {Forest rescoring: Faster decoding with integrated language models},
    booktitle = {In ACL ’07},
    year = {2007}
}

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Abstract

Efficient decoding has been a fundamental problem in machine translation, especially with an integrated language model which is essential for achieving good translation quality. We develop faster approaches for this problem based on k-best parsing algorithms and demonstrate their effectiveness on both phrase-based and syntax-based MT systems. In both cases, our methods achieve significant speed improvements, often by more than a factor of ten, over the conventional beam-search method at the same levels of search error and translation accuracy. 1

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