LD
Published work

Publications

Peer-reviewed articles, manuscripts under review, and work in preparation. Statuses are shown exactly as they stand.

  1. 2026Published

    The power of the prompt: The linguistic effects of prompt engineering on GenAI and learners

    Dixon, D. H., Kim, YJ., & Kim, Y.

    Research Methods in Applied Linguistics, 5(2), Article 100327.

    doi:10.1016/j.rmal.2026.100327
  2. 2025Published

    Detection and analysis of depression-related language in an online community: Machine learning, topic modeling, and corpus-linguistic approaches

    Kim, Y. & Römer-Barron, U.

    Corpus-based Studies across Humanities, 3(2), 283–312.

    doi:10.1515/csh-2025-0005
  3. 2023Published

    The English Language Learner Insight, Proficiency and Skills Evaluation (ELLIPSE) Corpus

    Crossley, S., Tian, Y., Baffour, P., Franklin, A., Kim, Y., Morris, W., Benner, M., Picou, A., & Boser, U.

    International Journal of Learner Corpus Research, 9(2), 248–269.

    doi:10.1075/ijlcr.22026.cro
  4. Under review

    Machine Learning Insights into L2 Development: Tracing Collocation Use Across Various Proficiency Levels

    Kim, Y.

    Applied Linguistics.

  5. Under review

    Lexical and Syntactic Predictors of Human-Judged Readability: An Interpretable Machine Learning Analysis of Main Effects and Genre Interactions

    Kim, Y. & Vegel, A.

    Applied Corpus Linguistics.

  6. In preparation

    Understanding the language of distress: Identification of distinctive language and topics in online PTSD and anxiety disorder communities

    Kim, Y. & Kubek, M.

    Computers in Human Behavior.

  7. In preparation

    Explainable Machine Learning of L2 Development: Linking Lexico-Syntactic Features to Dynamic Systems Theory

    Kim, Y.

    System.