An Innovative Model of English Translation Teaching Mode in Colleges and Universities from a Cross-cultural Perspective

[1] Xia, & Gao. (2017). A cross-disciplinary corpus-based study on english and chinese native speakers’ use of first-person pronouns in academic english writing. Text & Talk, 38(1). Search in Google Scholar

[2] Lee, J. S., & Drajati, N. A. (2019). English as an international language beyond the elt classroom. ELT Journal, 73(4), 419-427. Search in Google Scholar

[3] Sheng, Y. (2023). Kevin mcmanus: crosslinguistic influence and second language learning. Folia Linguistica, 57(1), 267-270. Search in Google Scholar

[4] Ruan, X. (2022). Design and exploration of college english reading, writing, and translation teaching classroom based on machine learning. Wireless Communications and Mobile Computing. Search in Google Scholar

[5] Shin, W., Tong, F., Chien, H. Y., & Yoon, M. (2021). A cross-cultural adaptation and validation of a second-language (l2) motivation instrument in south korea. Sustainability, 13. Search in Google Scholar

[6] Ning, J., & Ban, H. (2022). Blended teaching strategies of college english translation under the background of internet. Mobile information systems(Pt.18), 2022. Search in Google Scholar

[7] Ming, D. (2017). Construction and evaluation of extensive questions in english classes. Journal of Higher Education. Search in Google Scholar

[8] Zhang, J. L. (2022). Data-driven teaching model design of college english translation using intelligent processing technology. Wireless Communications and Mobile Computing. Search in Google Scholar

[9] Matheson, B., & Petersen, E. J. (2020). Engaging us students in culturally aware content creation and interactive technology design through service learning. IEEE Transactions on Professional Communication, 63(2), 188-200. Search in Google Scholar

[10] Wang, P., & Qiao, S. (2020). Emerging applications of blockchain technology on a virtual platform for english teaching and learning. Wireless Communications and Mobile Computing. Search in Google Scholar

[11] Noughabi, M. A., Erkan Yüce, & Fekri, N. (2024). Developing foreign language teacher enjoyment among iranian and turkish efl teachers: a cross-cultural study. System, 123. Search in Google Scholar

[12] Rezvani Kalajahi, S. A., Nadzimah Abdullah, A., & Neufeld, S. (2017). The discourse connector list: a multi-genre cross-cultural corpus analysis. Text & Talk, 37(3). Search in Google Scholar

[13] Verbitskaya, L. A., Zinchenko, Y. P., Mafykh, S. B., & Likhomirova, T. N. (2017). Cognitive foundations of successful teaching of the russian language: a cross-cultural study. Voprosy Psikhologii, 2017(1), 26-40. Search in Google Scholar

[14] Rustam, S., Ai, S., & Yueh-Min, H. (2019). A study of the facilitation of cross‐cultural understanding and intercultural sensitivity using speech‐enabled language translation technology. British Journal of Educational Technology, 50. Search in Google Scholar

[15] Dang, V. T., & Chou, Y. C. (2019). Extrinsic motivation, workplace learning, employer trust, self-efficacy and cross-cultural adjustment: an empirical study of vietnamese laborers in taiwan. Personnel Review, ahead-of-print(ahead-of-print). Search in Google Scholar

[16] Liu, Y., & Bai, H. (2021). Teaching research on college english translation in the era of big data. International Journal of Electrical Engineering Education, 002072092098431. Search in Google Scholar

[17] Yuan, L. (2022). The construction and exploration of university english translation teaching mode based on the integration of multimedia network technology. Mathematical Problems in Engineering, 2022. Search in Google Scholar

[18] Jie, Z., Jing, L., & Lifang, Z. (2017). A research on the methods and strategies of translating words with chinese characteristics in english. Journal of Ocean University of China(Social Sciences). Search in Google Scholar

[19] Yu Guo,Zhilong Xie,Xingyan Chen,Huangen Chen,Leilei Wang,Huaming Du.. & Gang Wu.(2024). ESIE-BERT: Enriching sub-words information explicitly with BERT for intent classification and slot filling.Neurocomputing127725-. Search in Google Scholar

[20] Li Wenzhong,Liu Chengshuai,Hu Caihong,Niu Chaojie,Li Runxi,Li Ming.. & Tian Lu.(2024). Application of a hybrid algorithm of LSTM and Transformer based on random search optimization for improving rainfall-runoff simulation.Scientific Reports(1),11184-11184. Search in Google Scholar

[21] Tao He & Ziyang Gong.(2024).State of health estimation for lithium-ion batteries using a hybrid neural network model with Multi-scale Convolutional Attention Mechanism.Journal of Power Sources234680-. Search in Google Scholar

[22] Tri Puspa Rinjeni, Ade Indriawan & Nur Aini Rakhmawati.(2024).Matching Scientific Article Titles using Cosine Similarity and Jaccard Similarity Algorithm.Procedia Computer Science553-560. Search in Google Scholar