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We describe a new pruning approach to remove phrase pairs from translation models of statistical machine translation systems. The approach applies the original translation system to a large amount of text and calculates usage statistics for the phrase pairs. Using these statistics the relevance of each phrase pair can be estimated. The approach is tested against a strong baseline based on previous work and shows significant improvements.
ddc:004, DATA processing & computer science, info:eu-repo/classification/ddc/004, 004
ddc:004, DATA processing & computer science, info:eu-repo/classification/ddc/004, 004
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