2003 MinimumErrorRateTraininginStati

• (Och, 2003) ⇒ Franz Josef Och. (2003). “Minimum Error Rate Training in Statistical Machine Translation.” In: Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1. doi:10.3115/1075096.1075117

Subject Headings: Unsmoothed Maximum-Likelihood Training Algorithm, Maximum-Likelihood Language Model.

Cited By

• http://scholar.google.com/scholar?q=%222003%22+Minimum+Error+Rate+Training+in+Statistical+Machine+Translation
• http://dl.acm.org/citation.cfm?id=1075096.1075117&preflayout=flat#citedby

Quotes

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. These training criteria make use of recently proposed automatic evaluation metrics. We describe a new algorithm for efficient training an unsmoothed error count. We show that significantly better results can often be obtained if the final evaluation criterion is taken directly into account as part of the training procedure.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2003 MinimumErrorRateTraininginStati	Franz Josef Och			Minimum Error Rate Training in Statistical Machine Translation				10.3115/1075096.1075117		2003