@misc{cogprints5627,
           title = {Statistical Phrase-based Post-editing},
          author = {Michel Simard and Cyril Goutte and Pierre Isabelle},
            year = {2007},
           pages = {508--515},
        keywords = {Machine Translation, Post-editing, Statistical MT, Phrase-based MT},
             url = {http://cogprints.org/5627/},
        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.
}
}

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