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Statistical Phrase-based Post-editing

Simard, Michel and Goutte, Cyril and Isabelle, Pierre (2007) Statistical Phrase-based Post-editing. [Conference Paper]

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Abstract

We propose to use a statistical phrase-based machine translation system in a post-editing task: the system takes as input raw machine translation output (from a commercial rule-based MT system), and produces post-edited target-language text. We report on experiments that were performed on data collected in precisely such a setting: pairs of raw MT output and their manually post-edited versions. In our evaluation, the output of our automatic post-editing (APE) system is not only better quality than the rule-based MT (both in terms of the BLEU and TER metrics), it is also better than the output of a state-of-the-art phrase-based MT system used in standalone translation mode. These results indicate that automatic post-editing constitutes a simple and efficient way of combining rule-based and statistical MT technologies.

Item Type:Conference Paper
Keywords:Machine Translation, Post-editing, Statistical MT, Phrase-based MT
Subjects:Linguistics > Computational Linguistics
Computer Science > Machine Learning
Computer Science > Artificial Intelligence
ID Code:5627
Deposited By: Goutte, Dr. Cyril
Deposited On:28 Jul 2007
Last Modified:11 Mar 2011 08:56

References in Article

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