Hyunhwa Kim

I am a PhD student in Linguistics at the University of South Carolina, specializing in psycholinguistics. Before coming to USC, I completed my M.A. in Applied Linguistics at Georgia State University.

My research lies at the intersection of corpus linguistics, computational linguistics, and psycholinguistics, with a particular interest in computational approaches to language processing and acquisition. I study how lexical and constructional knowledge is represented and processed, and how corpus-derived and computational measures can model this knowledge. My current research examines how L2 English learners acquire argument structure constructions, combining corpus analysis, computational modeling, and acceptability judgment experiments. I am also interested in LLM-assisted corpus annotation, in particular how reliably large language models can serve as linguistic annotators when evaluated against human-annotated reference sets. In addition, I am involved in collaborative work on mental lexicon development in language learners.

Feel free to reach out at HYUNHWAK@email.sc.edu to connect!

    Presentations & Publications

Presentations

Kim, H. Profiling L2 learner proficiency for AI-supported writing feedback: A corpus-based study using ICNALE. American Association for Corpus Linguistics (AACL) 2026 Conference, University of Florida, April 2026.

Kim, H. Discourse markers in scripted and natural dialogue: A corpus-based study for L2 learning. American Association for Applied Linguistics (AAAL) 2026 Conference, Chicago, Illinois, March 2026.

Kim, H. Profiling L2 learner proficiency for AI-supported writing feedback: A corpus-based study using ICNALE. Technology for Second Language Learning (TSLL) 2025 Conference, Iowa State University, November 2025.

Kim, H. Discourse Markers in Scripted and Natural Dialogue: A Corpus-Based Study for L2 Learning. Georgia Teachers of English to Speakers of Other Languages (GATESOL) Conference, October 2025.

Publications

Kim, H. Discourse Markers in Scripted and Natural Dialogue: A Corpus-Based Study for L2 Learning. GATESOL Journal. Under review.