现代电子技术2017，Vol.40Issue(22)：27-29,3.DOI:10.16652/j.issn.1004-373x.2017.22.007
基于弱化语法规则的英文机器翻译的优化研究
Research on English machine translation optimization based on weakening grammar rules
摘要
Abstract
An English machine translation optimization algorithm based on weakening grammar rules is proposed in this pa-per,which aims at the shortcomings of large error of English translation under weakening grammar rules and too much depen-dence on expert summary in traditional English machine translation methods. The English grammatical rules are analyzed with the algorithm. and then obtains the rectangular window function by Gaussian peripherization of the semantics is carried out to ob-tain the rectangular window function,window feature vector and project semantic information entropy data,and add the seman-tic association factor to the information entropy and information gain of the text. And the semantic non-linear spectrum feature is obtained,and the feature recognition is finally realized,which solves the problem of large error in traditional English machine translation. The simulation results of the proposed algorithm show that the algorithm can obtain better English translation effect, which proves that the proposed algorithm has better development space.关键词
英文机器翻译/弱化语法规则/信息熵/特征识别Key words
English machine translation/weakening grammar rule/information entropy/feature recognition分类
信息技术与安全科学引用本文复制引用
赵足娥,李培隆..基于弱化语法规则的英文机器翻译的优化研究[J].现代电子技术,2017,40(22):27-29,3.基金项目
广西高校中青年教师基础能力提升项目(2017KY0505 （）
KY2016YB240) （）
2014年新世纪广西高等教育教学改革工程项目(2014GJA196) （2014GJA196）
2014年度广西高校科研重点项目(ZD2014104) （ZD2014104）
