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文章基本信息

  • 标题:On Improper Machine Translations in Press Reports
  • 本地全文:下载
  • 作者:Huiqiong Duan ; Xinyu Hu ; Yidan Gao
  • 期刊名称:Journal of Language Teaching and Research
  • 印刷版ISSN:1798-4769
  • 出版年度:2020
  • 卷号:11
  • 期号:2
  • 页码:330
  • DOI:10.17507/jltr.1102.24
  • 出版社:Academy Publisher
  • 摘要:Machine translation, also known as automatic translation, is the process of converting one natural language (source language) into another natural language (target language) by using networks. There are some language errors in current machine translation in news releases. Having compared human translators’ translation texts and machine translation results, improper machine translation results are found. They are inaccurate use of words, rigid sentence patterns and unclear expression of specific cultural meanings. Accurate machine translation needs the assistance of human translators.
  • 关键词:artificial intelligence; machine translation; language errors
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