摘要
为保证机器翻译准确性,本文提出了基于短语翻译模型的英语翻译计算机智能校对方法,通过发现可代替待校对词汇的正确词汇,以实现英语翻译的自动智能校对。同时详细设计了英语翻译计算机智能校对具体流程,分析了基于最大熵模型的分词模式。最后通过计算机智能校对代码实现与测试,得出结论,英语翻译结果校对之前准确率最高只能达到72.9%,而通过英语翻译计算机智能校对方法完成校对之后,准确率全部保持于99.0%以上,二者准确率差异显著,表明基于短语翻译模型的英语翻译计算机智能校对方法具有显著有效性与良好稳定性,值得大力推广与应用。
In order to ensure the accuracy of machine translation,this paper proposes an intelligent proofreading method of English translation based on phrase translation model.By finding the correct words that can replace the words to be proofread,the automatic intelligent proofreading of English translation can be realized.At the same time,the specific process of intelligent proofreading of English translation computer is designed in detail,and the word segmentation mode based on the maximum entropy model is analyzed.Finally,through the implementation and test of the computer intelligent proofreading code,it is concluded that the highest accuracy rate of English translation results can only reach 72.9%before proofreading,but after the completion of proofreading by the computer intelligent proofreading method of English translation,the accuracy rate is all kept above 99.0%.The difference between the two accuracy rates is significant,which shows that the computer intelligent proofreading method of English translation based on the phrase translation model is effective.It has significant effectiveness and good stability,and is worth promoting and applying.
作者
张蕾
王剑楠
ZHANG Lei;WANG Jian-nan(Xi'an Aeronautical Polytechnic Institute,Xi'an 710089 China)
出处
《自动化技术与应用》
2021年第2期55-58,76,共5页
Techniques of Automation and Applications
关键词
短语翻译模型
英语翻译
计算机
智能校对
phrase translation model
English translation
computer
intelligent proofreading