A Lexicalized Reordering Model of Integrating with Language Features for Hierarchical Phrase-based Translation
ZHANG Yang
YU Zhengtao
ZHOU Ke
Abstract：According to the language characteristics of Vietnamese,this paper proposed a new lexicalized reordering model where language features were integrated for Chinese-Vietnamese statistical machine translation.Firstly,the grammar differences be?tween Chinese and Vietnamese were analyzed,and the sequence differences in attribute,adverbial modifier and adjuncts were ex?tracted.Secondly,the extracted difference rulers were formally defined and be integrated in the lexicalized reordering model via the log-linear model.In the training processing,the proposed model would optimize the weight for these rules that conform to the lin?guistic features Finally,it would guide the translation selection in the decoding. The experiment had verified that our reordering model achieved a 0.6-2.1 BLEU point improvements for Chinese-to-Vietnamese translation over a baseline hierarchical phrase-based system.
Keywords：statistical machine translationlexicalized reordering modelchinesevietnameselanguage features
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 2389-2392,2427 )