Research on the Construction of Translation Discipline Based on Cloud Computing and Big Data Analysis Technology

DOI

10.2991/978-94-6463-034-3_52How to use a DOI?

Keywords

Cloud computing technology; Big data analysis technology; Translation discipline; build

Abstract

With the increasing growth of translation discipline, the application scope of cloud computing and big data analysis technology in English translation discipline is gradually expanded. Due to its large vocabulary and wide coverage, the translation discipline needs to use cloud computing technology to carry out professional calculation and integration of professional information, so as to summarize the translation knowledge into an overall framework, and build an overall translation learning system by using data analysis technology to guide students’ learning dynamics, learning direction and learning needs. Give full play to the practical role of cloud computing and data analysis technology, Cloud computing and big data analysis technology integrate and promote each other. Cloud computing technology can make the data analysis structure more convenient and efficient, promote the quality of data analysis and promote the application depth of data analysis in translation discipline.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Wen Xiong
PY  - 2022
DA  - 2022/12/23
TI  - Research on the Construction of Translation Discipline Based on Cloud Computing and Big Data Analysis Technology
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)
PB  - Atlantis Press
SP  - 510
EP  - 516
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-034-3_52
DO  - 10.2991/978-94-6463-034-3_52
ID  - Xiong2022
ER  -