Research on the Application of Artificial Intelligence in Translation Courses

Authors

  • Xiaoxian Chen

DOI:

https://doi.org/10.54097/3c1b8w36

Keywords:

Artificial intelligence; Translation course; Applied research; Educational technology.

Abstract

With the rapid development of artificial intelligence technology, its application in the field of education is more and more extensive. This paper aims to deeply explore the application of artificial intelligence in translation courses, analyze its advantages, application models, problems and solutions, and forecast the future research direction and development trend. First of all, this paper gives a comprehensive overview of artificial intelligence technology, and elaborates its definition, classification and development history in depth. Then, in light of the problems and challenges of traditional translation courses, this paper focuses on the advantages of AI application in translation courses, including improving the accuracy and efficiency of translation and providing personalized learning support. At the same time, this paper also introduces the application mode and practice of artificial intelligence in translation courses in detail, including the principle and function of intelligent translation tools, case analysis of translation course design based on artificial intelligence technology. When discussing the problems faced in the application and solving strategies, this paper deeply analyzes the technical limitations and defects, the change of teacher's role and students' learning mode, and puts forward a series of feasible solving strategies. Finally, the practical value of artificial intelligence in translation courses is summarized, and the future research direction and development trend are prospected.

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References

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Published

15 January 2024

Issue

Section

Articles

How to Cite

Chen, X. (2024). Research on the Application of Artificial Intelligence in Translation Courses. International Journal of Education and Humanities, 12(1), 41-44. https://doi.org/10.54097/3c1b8w36