Study On Template-Based English-Mongolian Machine Tranlation

Machine translation is the procedure which uses the computer to transform a kind of natural language into another kind. It is an edge subject of natural language understanding and dealing, computational linguistics and artificial intelligence field. Under the situation at present, compared with English and Chinese, Mongolian is also in primary stage of the machine translation theory as a goal language or a source language. There isn't a mature theory and commercialized translation system about Mongolian. This subject is first subject for research of English-Mongolian machine translation sponsored by the China's natural science foundation project. The English-Mongolian machine translation study is a basic research work that has very great impetus to the cultural exchanges between minority area and other areas and to the informationization of Mongolian.This paper introduces development history and background knowledge of machine translation at first, and then explain template match algorithm of English-Mongolian machine translation and Mongolian generating model in detail.To the translations of some simple sentences, this paper has been put forward a rule-based translation method. Through English analyze, get grammar tree of English, change English grammar tree into Mongolian grammar tree according to English-Mongolian conversion rule, and then produce the Mongolian sentence which accords with Mongolian grammar from Mongolian grammar tree.To the translations of commonly used compound sentences or some regular phrases, this paper has been put forward the translation method based on template. Use existing template to match template and get very accurate translation. In primary stage, template was produced artificially; the further perfection goal of system is to draw the template automatically from the available language material through dictionary-based machine study.To the translations of sentences that neither template nor rule can translate correctly, this paper has been put forward Mongolian generating algorithm based on HMM. It produces Mongolian translation from the single language material through use of dictionary-based model and Hidden Markov Model.