现代电子技术2017，Vol.40Issue(6)：18-20,24,4.DOI:10.16652/j.issn.1004-373x.2017.06.005
海量数据机器单词中关键语义筛选方法研究
Research on key semantic screening method of massive data machine words
摘要
Abstract
In order to improve the accuracy of machine translation of words,the key semantic screening and feature extraction are needed.Because of this,a method of the key semantic screening of the massive data machine words based on thesaurus natural semantic information extraction is proposed.The thesaurus concept semantic decision tree model of the massive data machine words is build.The semantic information conversion mode is used to calculated the key semantic utilization rules of machine words and the information parameters of clustering center.The thesaurus natural semantic information extraction method is adopted to conduct semantic translation evaluation and reliability testing for realization of the automatic control of key semantic selection.The simulation test results show that the method has improved the adaptive ability of the text machine translation,and the accuracy of the translation effectively.关键词
海量数据/机器翻译/单词/语义筛选Key words
massive data/machine translation/word/semantic screening分类
信息技术与安全科学引用本文复制引用
渠新峰..海量数据机器单词中关键语义筛选方法研究[J].现代电子技术,2017,40(6):18-20,24,4.
