首页    期刊浏览 2024年11月27日 星期三
登录注册

文章基本信息

  • 标题:Discussion on Data Features and Construction Models of Translation Corpus in the Era of Big Data
  • 本地全文:下载
  • 作者:Qinqi Kang ; Zhao Kang
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2021
  • 卷号:251
  • 页码:1030
  • DOI:10.1051/e3sconf/202125101030
  • 出版社:EDP Sciences
  • 其他摘要:With the rapid development of artificial intelligence in the current era of big data, the construction of translation corpus has become a key factor in effectively achieving a highly intelligent translation. In the era of big data, the data sources and data types of translation corpus are becoming more and more diversified, which will inevitably bring about a new revolution in the construction of translation corpus. The construction of the translation corpus in the era of big data can fully rely on third-party open source data, crowd-sourcing translation, machine closed-loop, human-machine collaboration and other multiple modes to comprehensively improve the quality of translation corpus construction to better serve translation practice.
国家哲学社会科学文献中心版权所有