摘要
机器翻译技术,从最初基于规则到基于语料库再到如今基于神经,其发展过程已将近70年。通过对当前人工智能背景下常用的几款机器翻译软件译文与人工译文的对比,了解机器翻译的发展现状与水平,并运用分析法对这几款人工智能机器翻译软件的翻译质量进行分析与评价。在对译文质量对比分析的基础上,展望人工智能背景下未来机器翻译的发展前景与方向。
In the nearly 70 years since its birth,machine translation has developed from being rule-based to corpus-based and to currently being neuron-based.By comparing the translations of several commonly used machine translation soft-wares with human translations under the background of current artificial intelligence,we understand the development status and level of machine translation,and analyze and evaluate the translation quality of these artificial intelligence machine translation soft-wares by using analysis method.On the basis of analysis of translation quality,we look forward to the future development and direction of machine translation under the background of artificial intelligence.
作者
崔林艳
虞金芳
CUI Linyan;YU Jinfang(Economic and Technical College of Anhui Agricultural University,Hefei 230001,China;College of Economics & Management,Anhui Agricultural University,Hefei 230036,China)
出处
《皖西学院学报》
2019年第2期43-48,共6页
Journal of West Anhui University
基金
安徽省人文社科研究项目(SK2017A0866)的阶段性研究成果
关键词
人工智能
机器翻译
对比分析
前景展望
artificial intelligence
machine translation
comparative analysis
prospect