A syntactic skeleton for statistical machine translation
Mellebeek, Bart and Owczarzak, Karolina and Groves, Declan and van Genabith, Josef and Way, Andy (2006) A syntactic skeleton for statistical machine translation. In: EAMT 2006 - 11th Annual conference of the European Association for Machine Translation, 19-20 June 2006, Oslo, Norway.
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We present a method for improving statistical machine translation performance by using linguistically motivated syntactic information. Our algorithm recursively decomposes source language sentences into syntactically simpler and shorter chunks, and recomposes their translation to form target language sentences. This improves both the word order and lexical selection of the translation. We report statistically significant relative improvementsof 3.3% BLEU score in an experiment (English!Spanish) carried out on
an 800-sentence test set extracted from the Europarl corpus.
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