Bo-Ren Mau is currently a PhD student at the Graduate Institute of Information and Computer Education, National Taiwan Normal University. He holds a Master’s degree in Applied Linguistics and TESOL.
His research interests include generative artificial intelligence in education, computational linguistics, educational technology, and technology-enhanced language learning.
Contact: brnmaubm@gmail.com
PhD Student, Graduate Institute of Information and Computer Education, National Taiwan Normal University (Currently enrolled)
MA in Applied Linguistics and TESOL, National Kaohsiung University of Science and Technology
Full-Time Assistant, Department of English, National Kaohsiung University of Science and Technology
Ministry of Education Talent Cultivation Project in Digital Humanities
Mau, B.-R. & Feng, H.-H. (2025). Integrating move analysis and sentence reconstruction in automated writing evaluation for L2 academic writers. Assessing Writing, 66, 100984. https://doi.org/10.1016/j.asw.2025.100984. (SSCI) (First Author)
Wu, Y.-P., Feng, H.-H., & Mau, B.-R. (2025). Didactic potential of working with DIY corpora and text mining approaches in literary translation training. The Interpreter and Translator Trainer, 19(2), 170–196. https://doi.org/10.1080/1750399X.2025.2488714. (SSCI)
Wu, Y.-P., Mau, B.-R., Feng, H.-H., Huang, T.-Y., Butler, P., Ruan, J.-C., & Hsieh, Y.-C. (2024). Evaluating the learning gains of incorporating digital humanities teaching strategies into literature courses: A case study. Taiwan Journal of General Education, 34, 469–503. https://doi.org/10.6360/TJGE.202412_(34).0013.
Wu, Y.-P., Feng, H.-H., & Mau, B.-R. (2023). Revisiting the method of analysing poetic rhyme in English translation. Compilation and Translation Review, 16(2), 75–110. https://doi.org/10.29912/CTR.202309_16(2).0003. (Scopus/THCI Core)
Huang, M.-S., Mau, B.-R., Lin, J.-H., & Chen, Y.-Z. (2025). Sensitive health information extraction from EMR text notes: A rule-based NER approach using linguistic contextual analysis. In J. Jonnagaddala, H.-J. Dai, & C.-T. Chen. (Eds.), Large Language Models for Automatic Deidentification of Electronic Health Record Notes (pp. 120–133). Communications in Computer and Information Science. Springer. https://doi.org/10.1007/978-981-97-7966-6_9. (Corresponding Author)
毛柏仁、吳怡萍、謝勻千(2024年11月)。生成式人工智慧在專業翻譯訓練中的可供性:學生譯者經驗和觀點。「第十五屆數位典藏與數位人文國際研討會(DADH 2024)」發表之論文,國立臺灣師範大學。(本人為第一作者)
吳怡萍、毛柏仁、馮蕙嫻(2024年6月)。唐詩英譯的變與不變:從計量語言學特徵比較中西方譯者之跨文化翻譯策略研究。「第二十八屆口筆譯教學國際學術研討會」發表之論文,國立臺灣大學。
Feng, H.-H., Mau, B.-R., & Huang, T.-Y. (2024, April). To Collaborate or Not: The Analysis of Human, AI, and Post-edited AI Questions in Reading Comprehension Tests. [Conference presentation]. 2024 International Conference on Applied Linguistics and Language Teaching, Taipei, Taiwan.
馮蕙嫻、吳怡萍、毛柏仁、黃綵緣(2023年12月)。自動問題生成技術導入語料庫語言學課程教學成效探討。「第十四屆數位典藏與數位人文國際研討會(DADH 2023)」發表之論文,國立成功大學。
Wu, Y.-P., Butler, P., Ruan, J.-C., & Mau, B.-R. (2023, December). Taiwan University Students’ Perspectives on Digital Humanities Teaching of Literature Courses. [Conference presentation]. The 14th International Conference on Digital Archives and Digital Humanities, Tainan, Taiwan.
吳怡萍、馮蕙嫻、毛柏仁(2022年10月)。應用文本探勘技術於唐詩英譯的歷時性分析。「2022臺灣翻譯研討會」發表之論文,國家教育研究院。
Mau, B.-R., & Feng, H.-H. (2022, March). Classifying rhetorical moves in medical abstracts with the XGBoost model. [Conference presentation]. 2022 Multi-Layered Language Environment Studies International Symposium, Hokkaido University, Sapporo, Japan. (First Author)
Mau, B.-R., & Feng, H.-H. (2021, November). Improving syntactic complexity in English writing: Chatbots vs. student-teacher conferences. [Conference presentation]. International Conference on Foreign Languages and Translation AI Mediation & Pluralistic Exploration, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan. (First Author)
Mau, B.-R. (2023). The development of automated genre-based medical research abstract writing evaluation system for second language learners [Master’s thesis, National Kaohsiung University of Science and Technology]. https://hdl.handle.net/11296/8zecue
2025 — iPAS+ AI Application Planner (Machine Learning) — Specialist-Level Competency Certification
Issued by the Industrial Technology Research Institute, Ministry of Economic Affairs, Taiwan
2019 — Turing Certs
Issued by AI Cup (organized by Ministry of Education, Taiwan) in collaboration with Turing Space; Top 25% in the 2019 AI CUP Competition — Biomedical Paper Analysis: Biomedical Relation Extraction Track