Language Science Luncheon
Speaker Biography
Su Hang holds a Ph.D. from the University of Birmingham and completed his postdoctoral research at Beihang University. He is currently a Professor and Doctoral Supervisor at the Institute of Language Sciences, Shanghai International Studies University. His research interests include corpus linguistics, systemic functional linguistics, pragmatics, and English for Academic Purposes (EAP). He has led three research projects, including those funded by the National Social Science Fund of China and the China Postdoctoral Science Foundation, published two books, and authored over 50 papers in domestic and international journals such as Applied Linguistics and Foreign Language Teaching and Research. He has been selected for the Chongqing Talents – Young Top-Notch Talent support program and as a reserve candidate for the fourth batch of Academic and Technical Leaders in Chongqing. He has received the Second Prize of Chongqing Social Sciences Outstanding Achievement Award (2024), the Second Prize of National Teaching Achievement Award for Higher Education (Graduate Level) (2023), and the Third Prize of Chongqing Higher Education Teaching Achievement Award (2022). His academic affiliations include Executive Board Member of the Functional Linguistics Professional Committee of the China Association for Comparative Studies of English and Chinese (CACSEC), Board Member of the Corpus Linguistics Professional Committee of CACSEC, and Editorial Board Member of the Journal of English for Academic Purposes.
Personal Homepage:http://ilas.shisu.edu.cn/21/25/c18207a205093/page.htm
Language Science Luncheon: Time & Venue
Time: June 10, 2026 (Wednesday), 13:30–14:30
Venue: Room 103, Teaching Building No. 5
Language Science Luncheon: Title
Large Language Model-Enabled Local Grammar Research
Language Science Luncheon: Abstract
Local grammar is an important analytical framework in corpus linguistics that integrates lexical, syntactic, semantic, and pragmatic levels, unifying form, meaning, and function. It provides a practical and feasible research pathway for language description, discourse analysis, and language teaching. Existing research has fully demonstrated the theoretical and methodological value of local grammar; at the same time, relevant studies have also shown that a major difficulty in local grammar research lies in the time-consuming and labor-intensive nature of corpus analysis. Against this background, this talk proposes a large language model-enabled approach to local grammar research, focusing on how to use LLMs to conduct local grammar analysis on target corpora, and exploring the possibility of developing a dedicated large language model for local grammar research.
