汉英机器翻译中的冠词处理研究  

Research on Article Selection in Chinese English Machine Translation

作　　者：常宝宝[1,2] 刘颖[1,2] 刘群[1,2] 

机构地区：[1]北京大学计算语言学研究所 [2]中国科学院计算所二室

出　　处：《中文信息学报》1998年第3期8-14,共7页Journal of Chinese Information Processing

基　　金：国家683计划的资助

摘　　要：对于汉英机器翻译而言，由于汉语中缺乏与英语冠词相应的语言范畴，而且面向人的冠词用法规则很难满足机器翻译处理的需要，冠词的误用严重地影响了最终译文的质量。本文提出一种将基于转换的错误驱动的学习机制用于冠词处理的策略，初步实验显示，这种方法可以有效地提高机器译文中冠词使用的准确率。Because Chinese language has no corresponding category with English articles and the usage rules of articles oriented to human are difficult to operationalize for machine translation,there are many cases in using articles incorrectly in Chinese English machine translation system,which degrade the quality of the output translation severely.In this paper,we proposal a strategy for article selection which based the Transformation Based Error Driven Learning Algorithm,an initial experimental result shows the strategy can improve the accuracy in using articles.

关 键 词：机器翻译 冠词选择 冠词处理 汉英机器翻译 

分 类 号：TP391.2[自动化与计算机技术—计算机应用技术]