This site has been permanently archived. This is a static copy provided by the University of Southampton.

TY - GEN ID - cogprints5627 UR - http://cogprints.org/5627/ A1 - Simard, Michel A1 - Goutte, Cyril A1 - Isabelle, Pierre Y1 - 2007/// N2 - 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. KW - Machine Translation KW - Post-editing KW - Statistical MT KW - Phrase-based MT TI - Statistical Phrase-based Post-editing SP - 508 AV - public EP - 515 ER -