Syntax-based Statistical Machine Translation Models and Approaches

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.