基于句法的统计机器翻译模型与方法

Syntax-based Statistical Machine Translation Models and Approaches

该文总结了我们近几年来在基于句法的统计机器翻译方面所做的研究工作,特别是基于源语言句法的一系列统计机器翻译模型与方法,具体包括:基于最大熵括号转录语法的翻译模型,基于源语言短语结构树的树到串翻译模型及其相应的基于树的翻译方法,基于森林的翻译方法和句法分析与解码一体化翻译方法,基于源语言依存树的翻译模型。

This paper gives an overview of our research work on syntax-based statistical machine translation in recent year.Our work especially focused on a series of syntax-based statistical machine translation models and approaches,which includes： the translation model based on maximum entropy bracketing transduction grammar,source phrase structure based tree-to-string translation model and the translation approaches based on it—tree-based approach,forest-based approach,and joint parsing and decoding approach,and the source dependency based translation model.