Optimization of English Automated Translation Depending on Weak Grammar Rules

Author:

Liu XianJun

Abstract

Abstract Machine translation was first produced in the 1940 s, it with birth of computer technology and a new subject, the purpose of machine translation is to use computers as a platform for natural language translation, but for complex languages, machine translation is still lacking. Most of the language mechanisms formed by machine translation are crude and rely too much on the manual summary of language experts. In this way, it is easy for translation errors to occur in machine processing languages. In this case, how to effectively improve English machine translation under weak grammar rules has become a major problem that has not been solved in the computer field. This paper firstly analyses the principle of English machine translation and the improvement method of English machine translation under the weakening of grammar rules, and proposes an improvement and optimization method of English machine translation under the weakening of grammar rules.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference6 articles.

1. Research on semi-automatic construction method of Tibetan semantic dictionary based on WordNet [J];Rootte;Journal of Xizang University (natural science edition),2014

2. Identification of airport and oil depot targets based on significant semantic model [J];Zhao;Journal of Computer-aided Design and Graphics,2014

3. A fast face retrieval method based on semantic features [J];Zhang;Journal of Chongqing Technology and Business University (natural science edition),2014

4. A typical classification relation identification method for mass Chinese text [J];Liu;Computer Engineering,2015

5. Object recognition method based on local contour feature in natural scene [J];Zhu;Computer Engineering and Application,2016

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3