A Rule Based Approach for Japanese-Uyghur Machine Translation System

IF 2.4 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE International Journal of Software Science and Computational Intelligence-IJSSCI Pub Date : 2014-01-01 DOI:10.4018/IJSSCI.2014010104
Maimitili Nimaiti, Y. Izumi
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引用次数: 1

Abstract

Japanese Uyghur machine translation system has been designed and developed using recent rule based approach. Even though Japanese and Uyghur language has many similarities, but there are also some linguistic differences cause serious problems to the word for word translation. In fact, as straightforward word-for-word Japanese-Uighur translation sometimes yields unnatural Uighur sentences. To raise the translation accuracy, the authors propose a word-for-word translation system using subject verb agreement in Uighur. After a brief introduction to the comparative study of Japanese-Uyghur grammars, morphology and syntax, the authors explain their developing of a word to word rule base system. The coverage of this rule base system, the rules for translation, comparison of experimental result between statistical machine translation system and rule base machine translation system are explained. Some practical suffix translation methods solving problems in Uyghur language are also proposed.
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基于规则的日维机器翻译系统研究
采用基于规则的方法设计和开发了日文维吾尔语机器翻译系统。尽管日语和维吾尔语有许多相似之处,但也存在一些语言差异,这给逐字翻译带来了严重的问题。事实上,逐字逐句的日语-维吾尔语翻译有时会产生不自然的维吾尔语句子。为了提高翻译的准确性,作者提出了一种维吾尔语主谓语一致的逐字翻译系统。在简要介绍日维语法、词法和句法比较研究的基础上,阐述了日维两种语言的词对词规则库系统的发展。说明了该规则库系统的覆盖范围、翻译规则、统计机器翻译系统与规则库机器翻译系统的实验结果比较。针对维吾尔语中存在的问题,提出了一些实用的后缀翻译方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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