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Stahlberg, F. (2020). Neural machine translation: A review. Journal of Artificial Intelligence Research, 69, 343-418.Search in Google Scholar
Forcada, M. L. (2017). Making sense of neural machine translation. Translation spaces, 6(2), 291-309.Search in Google Scholar
High, M. D. (2023). The Perils and Potential Benefits of Machine Translation in Transnational Higher Education. In Handbook of Research on Developments and Future Trends in Transnational Higher Education (pp. 115-135). IGI Global.Search in Google Scholar
Lee, S. M. (2023). The effectiveness of machine translation in foreign language education: a systematic review and meta-analysis. Computer Assisted Language Learning, 36(1-2), 103-125.Search in Google Scholar
Enayati, F., & Gilakjani, A. P. (2020). The Impact of Computer Assisted Language Learning (CALL) on Improving Intermediate EFL Learners’ Vocabulary Learning. International Journal of Language Education, 4(1), 96-112.Search in Google Scholar
Ambrose, R. M., & Palpanathan, S. (2017). Investigating the Effectiveness of Computer-Assisted Language Learning (CALL) Using Google Documents in Enhancing Writing--A Study on Senior 1 Students in a Chinese Independent High School. IAFOR Journal of Language Learning, 3(2), 85-112.Search in Google Scholar
Xu, C., & Li, Q. (2021, April). Machine translation and computer aided English translation. In Journal of physics: conference series (Vol. 1881, No. 4, p. 042023). IOP Publishing.Search in Google Scholar
Wu, H. (2021). Multimedia Interaction‐Based Computer‐Aided Translation Technology in Applied English Teaching. Mobile Information Systems, 2021(1), 5578476.Search in Google Scholar
Kornacki, M. (2018). Computer-assisted translation (CAT) tools in the translator training process. Berlin: Peter Lang.Search in Google Scholar
Yao, S. (2017). Application of computer-aided translation in English teaching. International Journal of Emerging Technologies in Learning (iJET), 12(8), 105-117.Search in Google Scholar
Gu, S., & Li, X. (2021). Optimization of computer-aided English translation teaching based on network teaching platform. Computer-Aided Design and Applications, 19(S1), 151-160.Search in Google Scholar
Bentz, C., Alikaniotis, D., Cysouw, M., & Ferrer-i-Cancho, R. (2017). The entropy of words— Learnability and expressivity across more than 1000 languages. Entropy, 19(6), 275.Search in Google Scholar
Zhong, P., Wang, D., & Miao, C. (2019, July). An affect-rich neural conversational model with biased attention and weighted cross-entropy loss. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 33, No. 01, pp. 7492-7500).Search in Google Scholar
Дорофеєва Маргарита & Андрущенко Тетяна. (2019). Information Entropy in Translation: Psycholinguistic Aspects. PSYCHOLINGUISTICS(2),91-113.Search in Google Scholar
Orszulik Stefan T. (2024). Curve fitting: a method of joining piecewise functions to produce models of complex data. Communications in Statistics - Simulation and Computation(4),2071-2077.Search in Google Scholar
Zhang Xi,Li Zhongliang,Nan Nan & Wang Xiangzhao. (2022). Depth-resolved dispersion compensation method for optical coherence tomography imaging based on rectangular window function optimization. Journal of Modern Optics(15),827-837.Search in Google Scholar
Hiếu Lê Ngọc & Thanh Luong Van. (2021). A Counseling System of Multiple Intelligence Theory Combined With kNN Classification Algorithm. Journal of Computer Science and Technology Studies(2), 10-30.Search in Google Scholar
