Cross-cultural English text translation strategy based on the Transformer model

[1] Almashhadani, M., & Almashhadani, H. A. (2023). English Translations in Project Management: Enhancing Cross-Cultural Communication and Project Success. International Journal of Business and Management Invention, 12(6), 291-297. Search in Google Scholar

[2] Helmich, E., Cristancho, S., Diachun, L., & Lingard, L. (2017). ‘How would you call this in English?’ Being reflective about translations in international, cross-cultural qualitative research. Perspectives on medical education, 6, 127-132. Search in Google Scholar

[3] Zhaokai, Z. (2023). Analysis of the Influence of Cross-Cultural Factors on English-Chinese Translation. The Frontiers of Society, Science and Technology, 5(4). Search in Google Scholar

[4] Yang, D. (2024). Exploring the Translation Patterns of “Ren”: Insights into Translation Practice from a Cross-Cultural Perspective. International Research in Education, 12(1), 68-85. Search in Google Scholar

[5] Kunst, J. R., & Bierwiaczonek, K. (2023). Utilizing AI questionnaire translations in cross-cultural and intercultural research: Insights and recommendations. International Journal of Intercultural Relations, 97, 101888. Search in Google Scholar

[6] Singh, S. P., Kumar, A., Darbari, H., Singh, L., Rastogi, A., & Jain, S. (2017, July). Machine translation using deep learning: An overview. In 2017 international conference on computer, communications and electronics (comptelix) (pp. 162-167). IEEE. Search in Google Scholar

[7] Li, Y. (2021, May). Chinese English translation accuracy detection method based on machine learning. In 2021 6th International Conference on Smart Grid and Electrical Automation (ICSGEA) (pp. 185-188). IEEE. Search in Google Scholar

[8] Wang, S., & Wang, X. (2024). Cross-Language Translation and Comparative Study of English Literature Using Machine Translation Algorithms. Journal of Electrical Systems, 20(6s), 2221-2229. Search in Google Scholar

[9] Eo, S., Lim, J., Park, C., Jung, D., Koo, S., Moon, H., ... & Lim, H. S. (2024, May). Detecting Critical Errors Considering Cross-Cultural Factors in English-Korean Translation. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (pp. 4705-4716). Search in Google Scholar

[10] Alarifi, A., & Alwadain, A. (2020). An optimized cognitive-assisted machine translation approach for natural language processing. Computing, 102(3), 605-622. Search in Google Scholar

[11] Gemechu, E. A., & Kanagachidambaresan, G. R. (2021, December). Machine learning approach to english-afaan oromo text-text translation: Using attention based neural machine translation. In 2021 4th International Conference on Computing and Communications Technologies (ICCCT) (pp. 80-85). IEEE. Search in Google Scholar

[12] 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

[13] Zainal, A. G., Misba, M., Pathak, P., Patra, I., Gopi, A., El-Ebiary, Y. A. B., & Prema, S. (2024). Cross-Cultural Language Proficiency Scaling using Transformer and Attention Mechanism Hybrid Model. International Journal of Advanced Computer Science & Applications, 15(6). Search in Google Scholar

[14] Duan, J., Ma, H., & Wang, J. (2023). Automatic Chinese-English Translation Algorithm based on Outof-vocabulary Words in the Context of Cross-cultural Communication. IEIE Transactions on Smart Processing & Computing, 12(6), 466-471. Search in Google Scholar

[15] Gamal, D., Alfonse, M., Jiménez-Zafra, S. M., & Aref, M. (2023). Case Study of Improving English-Arabic Translation Using the Transformer Model. International Journal of Intelligent Computing and Information Sciences, 23(2), 105-115. Search in Google Scholar

[16] Guanghua Zhang, Hua Liu, Junjun Guo & Tianyu Guo. (2025). Distilling BERT knowledge into Seq2Seq with regularized Mixup for low-resource neural machine translation. Expert Systems With Applications125314-125314. Search in Google Scholar

[17] Joshi Ankit, Li Rui, Wu Yulin, Zhang Mengying & Song Guowen. (2024). Analysis of glove local microclimate properties for various glove types and fits using 3D scanning method. Heliyon(1),e23596-. Search in Google Scholar

[18] Zhenyu Hu, Wanjie Sun & Zhenzhong Chen. (2025). Lightweight image super-resolution with sliding Proxy Attention Network. Signal Processing109704-109704. Search in Google Scholar