| Issue |
E3S Web Conf.
Volume 251, 2021
2021 International Conference on Tourism, Economy and Environmental Sustainability (TEES 2021)
|
|
|---|---|---|
| Article Number | 01030 | |
| Number of page(s) | 5 | |
| Section | Analysis of Energy Industry Economy and Consumption Structure Model | |
| DOI | https://doi.org/10.1051/e3sconf/202125101030 | |
| Published online | 15 April 2021 | |
Discussion on Data Features and Construction Models of Translation Corpus in the Era of Big Data
1 School of Foreign Languages, University of Electronic Science and Technology of China, Chengdu, China 611731
2 School of Education, Research Center for Mental Health Education, China West Normal University, Nanchong, China 637009
a Corresponding author: kangqinqi123@126.com
b* Corresponding author: kangzhao168@126.com
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.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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