首页> 外文会议>International Conference on Computers, Information Processing and Advanced Education >Adaptability of English Literature Translation from the Perspective of Machine Learning Linguistics
【24h】

Adaptability of English Literature Translation from the Perspective of Machine Learning Linguistics

机译:机器学习语言学视角下英语文学翻译的适应性

获取原文

摘要

The development of computer networks has enabled the sharing and interaction of global information. In the information age, it is essential to use machine learning to transform disordered data into useful information. In the cultural exchanges of various countries, language conversion must not only meet the language environment of each country, but also meet the expression and aesthetic needs of the theme. The language conversion of English literary works is actually the re-creation of literature and art. The purpose of this article is to use machine learning to convert the language of excellent English literary works, so that readers can experience the literary and artistic beauty of English literary works in reading. This article takes English literature from the perspective of machine learning as the research object. It discusses the specific processing methods in translation and summarizes some translation strategies for English literary works, so as to provide references for the same type of translation. The language conversion of English literary works based on machine learning not only requires language conversion to meet the rationality of the language description of the original text. At the same time, the converted works should try their best to meet the pragmatic habits of the readers who use them.
机译:计算机网络的开发已启用全局信息的共享和交互。在信息时代,必须使用机器学习将无序数据转换为有用的信息。在各国的文化交流中,语言转换不仅必​​须满足每个国家的语言环境,还符合主题的表达和审美需求。英语文学作品的语言转换实际上是重新创造文学和艺术。本文的目的是使用机器学习来转换出优秀的英语文学作品的语言,使读者能够体验英语文学作品的文学和艺术之美。本文从机器学习视角作为研究对象掌握英语文学。它讨论了翻译中的具体处理方法,总结了英语文学作品的一些翻译策略,以便为相同类型的翻译提供引用。基于机器学习的英语文学作品的语言转换不仅需要语言转换,以满足原始文本的语言描述的合理性。与此同时,转换作品应尽力满足使用它们的读者的务实习惯。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号