For a full account of my research outputs, see my Google Scholar Page and/or my CV.

Recently Published Projects

Below are some selected recently published projects:

Kyle, K. & Eguchi, M. (2024). Evaluating NLP models with written and spoken L2 samples. Research Methods in Applied Linguistics 3(2). https://doi.org/10.1016/j.rmal.2024.100120
Kyle, K., Sung, H., Eguchi, M., & Zenker, F. (2024). Evaluating evidence for the reliability and validity of lexical diversity indices in L2 oral task responses. Studies in Second Language Acquisition, 46(1), 278–299. doi:10.1017/S0272263123000402
Eguchi, M., & Kyle, K. (2023). Span Identification of Epistemic Stance-Taking in Academic Written English. In Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023), pp. 429–442. Toronto, Canada: Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.bea-1.35
Kyle, K. & Eguchi, M. (2023). Assessing spoken lexical and lexicogrammatical proficiency using features of word, bigram, and dependency bigram use. The Modern Language Journal, 107, 531-564. https://doi.org/10.1111/modl.12845
Kyle, K., & Sung, H. (2023). An Argument Structure Construction Treebank. In Proceedings of the First International Workshop on Construction Grammars and NLP (CxGs+NLP, GURT/SyntaxFest 2023), 51–62. https://aclanthology.org/2023.cxgsnlp-1.7
Kyle, K., Eguchi, M., Choe, A. T., & LaFlair, G. T. (2022). Register variation in spoken and written language use across technology-mediated and non-technology-mediated learning environments. Language Testing, 39(4), 618–648. https://doi.org/10.1177%2F02655322211057868
Kyle, K., Eguchi, M., Miller, A., & Sither, T. (2022). A dependency treebank of spoken second language English. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Innovative Use of NLP for Building Educational Applications (BEA 2022) (pp. 39-45). Seattle, USA. Association for Computational Linguistics. https://doi.org/10.18653/v1/2022.bea-1.7
Kyle, K. (2021). Natural language processing for learner corpus research (introduction to the special issue). International Journal of Learner Corpus Research 7(1), pp. 1-16. https://doi.org/10.1075/ijlcr.00019.int

Current projects

We are currently using a refined version of our ASC annotation tool to investigate the relationship between characteristics of ASC use (e.g., the strength of association between a verb and the ASC it is used with) and second language writing and speaking proficiency
We are in the process of refining the Lexicogrammatical Tagger (LxGrTgr) and evaluating its accuracy across a range of registers