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CSL
2011
Springer

Syntax-based reordering for statistical machine translation

8 years 1 months ago
Syntax-based reordering for statistical machine translation
In this paper we address the problem of translating between languages with word order disparity. The idea of augmenting statistical machine translation (SMT) by using a syntax-based reordering step prior to translation, proposed in recent years, has been quite successful in improving translation quality. We present a new technique for extracting syntax-based reordering rules, which are derived through a syntactically augmented alignment of source and target texts. The parallel corpus with reordered source side is then passed to an N-gram-based machine translation system and the obtained results are contrasted with a monotone system performance. In experiments, we show significant improvement for the Chinese-to-English translation task.
Maxim Khalilov, José A. R. Fonollosa
Added 13 May 2011
Updated 13 May 2011
Type Journal
Year 2011
Where CSL
Authors Maxim Khalilov, José A. R. Fonollosa
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