Research on the Machine Translation Based on the Hybrid Approach

Abstract

This paper firstly introduces the recent research on machine translation and describes the hybrid strategies on machine translation in detail, and discusses the applications of machine learning for machine translation. The hybrid approach is a method for translation which integrates an example-pattern-based method and a rule-based method, to the design and implementation of an English-Chinese machine translation system. It focuses discussion on language model, knowledge base, design ideas and implementation strategies. Our system has been tested based on requirement details listed in the Outlines for Automatic Evaluation of Machine Translation constituted by National Hi-Tech Project, and compared with the assigned system. Experiment results indicate that our system has high translation speed and accuracy.