Minimum Error Rate Training in Statistical Machine Translation

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Minimum Error Rate Training in Statistical Machine Translation (2003)

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by Franz Josef Och

Citations:

661 - 7 self

BibTeX

@MISC{Och03minimumerror,
    author = {Franz Josef Och},
    title = {Minimum Error Rate Training in Statistical Machine Translation},
    year = {2003}
}

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Abstract

Often, the training procedure for statistical machine translation models is based on maximum likelihood or related criteria. A general problem of this approach is that there is only a loose relation to the final translation quality on unseen text. In this paper, we analyze various training criteria which directly optimize translation quality.

Keyphrases

minimum error rate training statistical machine translation statistical machine translation model various training criterion loose relation translation quality final translation quality unseen text maximum likelihood training procedure general problem

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