Application of Artificial Intelligence Technology in English Translation Skills Training
- DOI
- 10.2991/978-94-6463-242-2_32How to use a DOI?
- Keywords
- artificial intelligence; English translation; Skills training
- Abstract
In the era of big data, artificial intelligence has been widely used in higher education, providing technical support for college teaching. In modern education, teachers are no longer just providers of knowledge, but become mentors and promoters of learning. Students need to process, analyze and use existing information to complete various activities and tasks. Taking China’s training programs as an empirical study, this paper uses action research, quantitative and qualitative scientific research methods, based on modern translation teaching theory and artificial intelligence technology, takes translation training as an example, obtains research data on the evaluation of “dynamic” translation classroom effect, and innovatively puts forward the concept of constructing a “dynamic” model of translation teaching, aiming at improving the quality of English translation teaching in Chinese universities, cultivating compound foreign language translators, and further enhancing China’s cultural soft power and international image from a national strategic perspective.
- Copyright
- © 2024 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.
Cite this article
TY - CONF AU - Zhiping Li PY - 2023 DA - 2023/09/22 TI - Application of Artificial Intelligence Technology in English Translation Skills Training BT - Proceedings of the 2023 4th International Conference on Artificial Intelligence and Education (ICAIE 2023) PB - Atlantis Press SP - 258 EP - 263 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-242-2_32 DO - 10.2991/978-94-6463-242-2_32 ID - Li2023 ER -