摘要
在语言翻译方面,人工翻译的速度比较慢,越来越不能适应当前社会发展的快速需求。因此,需要有新技术代替人工翻译,以开发AI为基础,实现快速、准确、高效的机器翻译。针对传统机器自动翻译系统在翻译过程中准确率较低的问题,为了提高机器自动翻译的速度和准确性,该文提出基于人工智能处理器设计的机器自动翻译系统设计。通过客户端结构设计和人工智能处理器设计,完成系统的硬件设计;依托句子相似度的计算和消除句子歧义,完成系统的软件设计,从而实现机器自动翻译系统的设计。测试结果表明,基于人工智能技术的机器自动翻译系统,相比于基于文本库的机器自动翻译系统,在句子翻译速度和准确率方面都有所提高。
In terms of language translation,the speed of manual translation is relatively slow,and it cannot meet the rapid needs of the current social development.Therefore,it is necessary to replace human translation with new technology to realize fast,accurate and efficient machine translation based on the development of AI.In allusion to the low accuracy of the traditional automatic machine translation system in translation process,an automatic machine translation system based on the design of the artificial intelligence processor is proposed to improve the speed and accuracy of machine automatic translation.The hardware design of the system is completed on the basis of the design of client structure and artificial intelligence processor.The software design of the system is completed based on the calculation of sentence similarity and the elimination of sentence ambiguity,so that the design of machine automatic translation system is realized.The testing results show that in comparison with the automatic machine translation system based on text library,the automatic machine translation system based on artificial intelligence technology can improve the speed and accuracy of sentence translation.
作者
李蓉
周美丽
LI Rong;ZHOU Meili(Xi'an Innovation College of Yan'an University,Xi'an 710100,China;Yan'an University,Yan'an 716000,China)
出处
《现代电子技术》
2022年第2期183-186,共4页
Modern Electronics Technique
基金
国家自然科学基金项目(61941112)。
关键词
人工智能技术
机器翻译
相似度计算
翻译处理器
系统设计
客户端结构
系统测试
artificial intelligence technology
machine translation
similarity calculation
translation processor
system design
client structure
system testing
