Paper: A Lexicalized Reordering Model for Hierarchical Phrase-based Translation

ACL ID C14-1108
Title A Lexicalized Reordering Model for Hierarchical Phrase-based Translation
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2014
Authors

Lexicalized reordering model plays a central role in phrase-based statistical machine translation sys- tems. The reordering model specifies the orientation for each phrase and calculates its probability con- ditioned on the phrase. In this paper, we describe the necessity and the challenge of introducing such a reordering model for hierarchical phrase-based translation. To deal with the challenge, we propose a novel lexicalized reordering model which is built directly on synchronous rules. For each target phrase contained in a rule, we calculate its orientation probability conditioned on the rule. We test our model on both small and large scale data. On NIST machine translation test sets, our reordering model achieved a 0.6-1.2 BLEU point improvements for Chinese-English translation o...