Embedded Files
Papers and Manuscripts
Kim, M. (2025). Assessing the quality of human and GPT-generated paraphrases in English: An NLP-based approach. Language and Information, 29(2), 33–63.
Kim, M. (2025). Feasibility of NLP metrics in automatic paraphrase evaluation for EFL learners. In Proceedings of the 17th International Conference on Computer Supported Education – Volume 2: CSEDU (pp. 760–767). SciTePress. https://doi.org/10.5220/0013297400003932
Kim, M. (2025). Building an automated scoring system for EFL learners’ paraphrases via a customized GPT. ETAK (English Teaching and Applied Linguistics), 31(1), 27–57.
Koo, J., & Kim, M. (2024). Developing cultural adaptation scales focused on Hallyu (Korean Wave) for international students in Korea: Comparing Eastern and Western cultural perspectives. Proceedings of the 1st Hallyu Student Day Conference. (Received Participation Award).
Kim, M., & Kim, J. (2024). Comparing paraphrases by humans and LLMs: An analysis of syntactic complexity, semantic similarity, and lexical diversity through NLP. Proceedings of the 2024 Fall Joint Conference of the Korean Generative Grammar Circle and the Korean Society for Language and Information.
Kim, M. (2022). Reliability of paraphrasing scores: Determining appropriate number of items for a paraphrasing test for Korean EFL learners. SNU Working Papers in English Language and Linguistics, 18, 35–48.
Kim, M. (2018). Investigating reliability of re-modified scoring rubrics for EFL paraphrasing task. SNU Working Papers in English Language and Linguistics, 16, 36–56.
Kim, M. (2017). English mass-count distinction based on proportionateness, convertibility, and entireness. SNU Working Papers in English Language and Linguistics, 15, 80–92.
PROFESSIONAL PRESENTATIONS
2026
Kim, M., Choi, H., Koo, J., & Lee, Y.-W. Cognitive Processing in Paraphrasing of Korean EFL Learners: An Eye-Tracking Study. ICOLSEI 2026, Seoul National University, Seoul, South Korea. (June 26, 2026).
Kim, M. Developing Adaptive Practice Item Generation for English Paraphrasing with Generative AI. The 2026 Summer KASELL-KSLI Joint Conference, Seoul, South Korea. (June 13, 2026).
Kim, M. Prompt Engineering Techniques for Practical English Learning with Generative AI. Invited lecture, Induk University, Seoul, South Korea. (May 19, 2026).
Kim, M. How Applied English Research Is Changing in the AI Era: Developing an English Assessment System Using Generative AI. Invited lecture, Department of English Language and Literature, Sungshin Women’s University, Seoul, South Korea. (May 12, 2026).
Kim, M., Choi, H., & Koo, J. Eye-Tracking Analysis of Korean EFL Learners’ Cognitive Strategies in Paraphrasing Tasks. Final Presentation, Learning Sciences Research Institute (LSRI) Graduate Student Research Support Program, Seoul National University, Seoul, South Korea. (February 27, 2026).
2025
Kim, M. Integrated Digital Assessment for Paraphrasing: NLP and AI for Automated Scoring and Feedback. Invited presentation at the Outstanding Graduate Research Presentation, 1st SNU Linguistics Symposium, Seoul National University, Seoul, South Korea. (December 10, 2025).
Kim, M. AI-Enhanced Feedback in L2 Writing: Measuring the Validity of a Paragraph-Level Paraphrasing Task. Roundtable presented at the 2025 Society for the Study of Second Language Writing (SSLW 2025), Taipei, Taiwan. (October 23–25, 2025).
Kim, M. Exploring Rater Effects in Automated Assessment of EFL Learners' Paraphrasing Skills with NLP Metrics and Customized GPT. The 11th International Conference of the Asian Association for Language Assessment (2025 AALA), Penang, Malaysia. (August 23-25, 2025).
Kim, M., Choi, H., & Koo, J. Eye-Tracking Analysis of Korean EFL Learners' Cognitive Strategies in Paraphrasing Tasks. 2025 Summer ELLAC (ELLAC 2), Seoul National University, Seoul, South Korea. (August 1, 2025).
Kim, M. Developing a Digital-First Paraphrasing Assessment System for EFL Learners. 2025 Spring KASELL Conference, Kyungpook National University, Daegu, South Korea. (May 31, 2025).
Kim, M. Feasibility of NLP Metrics in Automatic Paraphrase Evaluation for EFL Learners. The17th International Conference on Computer Supported Education (CSEDU 2025), Porto, Portugal. (April 1–3, 2025)
Kim, M. Assessing corpus-based paraphrases using NLP metrics vs. a custom GPT. 2025 KATE SIG Conference, Korea University, Seoul, South Korea. (February 7, 2025)
Kim, M. Automated paraphrase quality assessment: A comparison of NLP and GPT. 2025 SNU Winter ELLAC: Voices of Emerging Scholars, Seoul National University, Seoul, South Korea. (February 5, 2025)
Kim, M. Investigating NLP Metrics for Assessing Syntactic Complexity in Korean EFL Paraphrases. To be presented at the 1st SNU Linguistics Symposium, Seoul National University, Seoul, South Korea. (January 10, 2025)
2024
Koo, J., & Kim, M. (2024). Developing cultural adaptation scales focused on Hallyu (Korean Wave) for international students in Korea: Comparing Eastern and Western cultural perspectives. Proceedings of the 1st Hallyu Student Day Conference. Seoul National University, December 20, 2024.
(Awarded Participation Prize.)
Kim, M., & Kim, J. Comparing paraphrases by humans and LLMs: An analysis of syntactic complexity, semantic similarity, and lexical diversity through NLP. Presented at the Korean Generative Grammar Circle (KGGC) - Korean Society for Language and Information (KSLI) 2024 Fall Joint Conference, Chung-Ang University, Seoul, Republic of Korea. (November 9, 2024)
2022
Kim, M. Investigating the reliability and validity of scores from a paraphrasing test for Korean EFL learners. Presented at the COEDA 2022 Conference: Rupture and Continuity, Seoul National University, Seoul, South Korea. (September 16, 2022)
Thesis
Investigating the Reliability and Validity of Scores from a Paraphrasing Test for Korean EFL Learners. [Master's Thesis, Seoul National University]
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