现代电子技术2017，Vol.40Issue(12)：31-33,38,4.DOI:10.16652/j.issn.1004-373x.2017.12.008
机器英语翻译中的模糊语义最优解选取方法
Method of selecting optimal solution of fuzzy semantics in English machine translation
摘要
Abstract
In order to improve the accuracy and rationality of English machine translation,a machine translation method based on semantic fuzzy optimal solution selection is proposed. An information extraction model and an attribute table of fuzzy se-mantic subject words are made for English machine translation. The semantic similarity of English translation is calculated with the grey correlation feature matching method to realize the semantic fuzzy mapping of semantic context in English translation. The semantic mapping relation is established. The fuzzy semantic optimal solution is obtained by means of calculation. The exper-imental results show that the proposed method has better recall performance of semantic information for the English machine translation,and high feature matching rate of subject words.关键词
机器英语翻译/语义选取/语义模糊映射/信息抽取Key words
English machine translation/semantic selection/semantic fuzzy mapping/information extraction分类
信息技术与安全科学引用本文复制引用
孙霞,沈韩..机器英语翻译中的模糊语义最优解选取方法[J].现代电子技术,2017,40(12):31-33,38,4.基金项目
国家自然科学基金(61501333) （61501333）
湖北省教育厅科学研究计划项目(B2016421) （B2016421）
