Welcome to Francis Academic Press

The Frontiers of Society, Science and Technology, 2023, 5(13); doi: 10.25236/FSST.2023.051309.

The Practice and Application of Computer-Aided Translation Technology in English Teaching

Author(s)

Ruichao Li

Corresponding Author:
Ruichao Li
Affiliation(s)

School of Translation Studies, Xi’an Fanyi University, Xi’an, Shaanxi, 710105, China

Abstract

English teaching is a critical link in computer-aided translation technology (CATT). It can improve students’ learning efficiency and cultivate their comprehensive ability. It can also promote China’s cultural knowledge system and international exchange level. This paper mainly introduces the characteristics of computer-aided language technology and how to effectively apply it to real life to analyze and study its significant impact on our daily work. Then this paper designs an English teaching-assisted translation model based on computer-aided technology. Then the performance of the English teaching model is tested by simulation. The test results show that the accuracy of computer-assisted translation is more than 92%, and the translation time is within 10s. This shows that the model can meet users' needs and provide reference suggestions and opinions for English teachers for relevant departments to improve.

Keywords

Computer Aided, Translation Technology, English Teaching, Practical Application

Cite This Paper

Ruichao Li. The Practice and Application of Computer-Aided Translation Technology in English Teaching. The Frontiers of Society, Science and Technology (2023) Vol. 5, Issue 13: 50-55. https://doi.org/10.25236/FSST.2023.051309.

References

[1] Lenny, M., Akhmad, H., Amirul, M., Deta, D., Mohd, F., Mohd, Y. and Doni, R. (2018) The Integration of Social Networking Services in Higher Education: Benefits and Barriers in Teaching English. Int. J. Virtual Pers. Learn. Environ, 2, 46-62. 

[2] Blanka, K. (2018) Mobile phones and smartphones and their apps for teaching English as a foreign language. Educ. Inf. Technol, 3, 1091-1099. 

[3] Nataliia, S., Yuliia, O. and Muhammad, A. (2019) Growth of Tasks with Art Elements for Teaching Engineers in English for Specific Purposes Classroom. Int. J. Emerg. Technol. Learn, 23, 4-16. 

[4] Ahmet, B. (2019) Learning collocations: Effects of online tools on teaching English adjective-noun collocations. Br. J. Educ. Technol, 1, 342-356. 

[5] Marzena, N., Karolina, B. and Michal, P. (2020) Use of data mining in a two-step process of profiling student preferences in relation to the enhancement of English as a foreign language teaching. Stat. Anal. Data Min, 5, 482-498. 

[6] Sedat, A. (2021) Teaching CALL to Pre-service Teachers of English in a Flipped Classroom. Technol. Knowl. Learn, 1, 155-171. 

[7] Wang, E. L., Priyan, M. K., and R. Dinesh, J. S. (2021) Semantic Graphical Dependence Parsing Model in Improving English Teaching Abilities. ACM Trans. Asian Low Resour. Lang. Inf. Process, 3, 1-48. 

[8] Deng, B. W. (2021) Word order detection in English classroom teaching based on an improved genetic algorithm of block coding. J. Intell. Fuzzy Syst, 4, 6901-6912. 

[9] Ahmed, T., Sarra, H., Fathi, E., Chen, N. S., Huang, R. H., Kinshuk, R., Maiga, C. and Daniel, B. (2021) A Smart Collaborative Educational Game with Learning Analytics to Support English Vocabulary Teaching. Int. J. Interact. Multim. Artif. Intell, 6, 215-224. 

[10] Evangelia, T., Elissavet, C. and Nicholas, Z. (2021) Implementing theoretical approaches using ICT in teaching English as a foreign language. Educ. Inf. Technol, 5, 6203-6226. 

[11] Talha, A. S. and Rami, A. S. (2022) A Systematic Review of Research on the Use of Artificial Intelligence in English Language Teaching and Learning (2015-2021): What are the Current Effects? J. Inf. Technol. Educ. Res, 21, 337-377. 

[12] Khalid, A. A. and Madhawi, G. A. (2022) Assessing the Learning Outcomes of Using Mobile Game Integration in Teaching English Vocabulary: A Case Study of Saudi Arabia. Int. J. Biotechnology Knowl. Dev, 1, 1-16. 

[13] Meng, F., Zheng, Y., Bao, S., Wang, J., & Yang, S. (2022). Formulaic language identification model based on GCN fusing associated information. PeerJ Computer Science, 8, 984. 

[14] Sujanta, Kazemanzadeh. (2022). Distributed System Integrating Virtual Reality Technology in English Teaching. Distributed Processing System. Vol. 3, Issue 1: 62-70. 

[15] Pecka, Katrin. (2021). Network Teaching System of Power Machinery Based on Computer Science. Kinetic Mechanical Engineering. Vol. 2, Issue 4: 21-30.