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.