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1530-9312
2014 Impact factor:
1.23

Computational Linguistics

Paola Merlo, Editor
December 2010, Vol. 36, No. 4, Pages 649-671
(doi: 10.1162/coli_a_00015)
© 2010 Association for Computational Linguistics
String-to-Dependency Statistical Machine Translation
Article PDF (233.76 KB)
Abstract

We propose a novel string-to-dependency algorithm for statistical machine translation. This algorithm employs a target dependency language model during decoding to exploit long distance word relations, which cannot be modeled with a traditional n-gram language model. Experiments show that the algorithm achieves significant improvement in MT performance over a state-of-the-art hierarchical string-to-string system on NIST MT06 and MT08 newswire evaluation sets.