摘要
为提高开放式记忆辅助型长字符英语自动翻译的准确性,进行翻译系统优化设计,提出基于B/S构架下语义关联特征信息抽取的记忆辅助型长字符英语自动翻译系统设计方法,采用二元语义特征关联性抽取方法进行记忆辅助型长字符英语的词组分析,根据长字符英语词语在文本中的位置进行自适应上下文匹配,结合词语与词语之间的互信息特征进行翻译反馈校正,实现机器翻译算法优化。在B/S构架下进行翻译系统的软件开发设计,软件设计主要由数据库模型、信息管理模块、程序加载模块和网络通信模块组成,在嵌入式Linux内核下实现翻译系统的人机交互设计。仿真结果表明,设计的英语自动翻译系统能有效实现记忆辅助型长字符英语的自动翻译,翻译的准确性较好,系统具有较好的界面友好性和兼容性。
In order to improve the accuracy of open memory-assisted long character English automatic translation,the optimal design of translation system is carried out. This paper presents a design method of memory-assisted long character English automatic translation system based on semantic association feature extraction under the framework of B/S.The method of binary semantic feature association extraction is used to analyze the phrases of memory-assisted long character English,and adaptive context matching is carried out according to the position of long character English words in the text.Based on the mutual information between words and words,the translation feedback correction is carried out to optimize the machine translation algorithm.The software design of the translation system is carried out under the framework of B/S,and the software design is mainly based on the database model. The information management module,the program loading module and the network communication module are made up of,and the human-computer interaction design of the translation system is realized under the embedded Linux kernel. The simulation results show that.The designed automatic English translation system can effectively realize the automatic translation of memory-assisted long character English.The translation accuracy is good and the system has good interface friendliness and compatibility.
作者
张岳琢
ZHANG Yuezhuo(Shanxi Jiaotong Vocational and Technical College,Xi'an Shanxi,710018)
出处
《自动化与仪器仪表》
2018年第10期116-118,123,共4页
Automation & Instrumentation
关键词
记忆辅助型长字符英语
自动翻译
机器翻译
软件设计
B/S构架
memory-assisted long character English
automatic translation
machine translation
software design
B/S architecture