机器翻译研究现状与展望

Machine Translation: Past, Present, Future

本文回顾机器翻译研完的历史,介绍典型的机器翻译方法,包括:基于规则、基于统计以及基于实例的机器翻译方法;针对机器翻译的研究现状,详细介绍和分析了基于混合策略的机器翻译方法,对统计以及机器学习方法在机器翻译中的应用进行了描述;论文还介绍了当前机器翻译评测技术;最后对机器翻译进行总结和展望。

This paper firstly presents the history of machine translation ,and introduces some classical paradigms of machine translation: RBMT,SBMT and EBMT. Secondly,we introduce the recent research on machine translation, and describe the hybrid strategies on machine translation in detail ,and discuss the applications of machine learning for machine translation. We also analyze the current techniques about evaluation on machine translation. Finally, we draw a conclusion and prospect on the research of machine translation.