Research on Named Entity Structure Information for Machine Translation

Abstract

Due to the existing single machine translation model for named entity markup is too rough and not detailed to meet the requirements. This paper proposes an integrated analysis of lexical and syntactic integration of named entity information to improve the performance of Tibetan-Chinese machine translation. Experiments show that the performance of the model is better than that of the model based on independent integration and the model based on independent grammar. In the stage of syntactic analysis, the combination of named entity information and comprehensive information can improve the performance of syntactic analysis.