Adaptation in statistical machine translation for low resource domains in English-Vietnamese language
Adaptation in statistical machine translation for low resource domains in English-Vietnamese language
In this paper, we propose a new method for domain adaptation in statistical machine translation for low-resource domains in English-Vietnamese language. Specifically, our method only uses monolingual data to adapt the translation phrase-table, our system brings improvements over the SMT baseline system.