I study language processing and impairments using behavioral experiments, cognitive modeling and NLP techniques.
I am currently an Assistant Professor (Limited Term) in the Department of Psychology at Trent University. My research intersects psychology, linguistics, speech-language pathology, and computer science, employing a big data approach to explore language and cognition. Through computational modeling (e.g., distributional semantics, network science) and empirical data collection, I investigate how linguistic experience influences language representation and processing across aging.
Ph.D., Communicative Disorders and Sciences (Cognitive Science Track)
M.S., Computational Linguistics/Natural Language Processing
M.A., General Linguistics
B.A., Psychology & Linguistics (Honors in Language and Cognition)
Qiu, M., Castro, N., & Johns, B. T. (accepted). Estimating type of print exposure across aging through author production. Proceedings of the Annual Meeting of the Cognitive Science Society.
Zeng, M., Kuang, J., Qiu, M., Song, J., & Park, J. (accepted). Evaluating prompting strategies for grammatical error correction based on language proficiency. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024).
Park, J., & Qiu, M. (accepted). Frustratingly simple prompting-based text denoising. Proceedings of the Second Tiny Papers Track at the Twelfth International Conference on Learning Representations (ICLR 2024).
Qiu, M., Castro, N., & Johns, B. T. (2021). Structural comparisons of noun and verb networks in the mental lexicon. Proceedings of the Annual Meeting of the Cognitive Science Society, 43, 1649-1655.
Qiu, M., & Johns, B. T. (2020). Semantic diversity in paired-associate learning: Further evidence for the information accumulation perspective of cognitive aging. Psychonomic Bulletin & Review, 27(1), 114-121.
Qiu, M., & Park, J. (2019). Artificial error generation with fluency filtering. Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, 87-91.
Qiu, M., Chen, X., Liu, M., Parvathala, K., Patil, A., & Park, J. (2019). Improving precision of grammatical error correction with a cheat sheet. Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, 240-245.
Stipancic, K. L., van Brenk, F., Qiu, M., & Tjaden, K. (2024, February). Clinically important change in speech intelligibility from different perspectives: A pilot study [Conference presentation]. 2024 Conference on Motor Speech, San Diego, CA, United States.
Li, Y., & Qiu, M. (2023, May). The semantic evolution of ‘fruit’ and ‘stone’ in Sino-Tibetan languages [Conference presentation]. 32nd Annual Meeting of the Southeast Asian Linguistics Society, Chiang Mai, Thailand.
Stipancic, K. L., van Brenk, F., Qiu, M., & Tjaden, K. (2022, August). Progress toward estimating the minimal clinically important difference of speech intelligibility: A crowdsourced perceptual experiment [Poster presentation]. 8th International Conference on Speech Motor Control, Groningen, the Netherlands.
Qiu, M., & Castro, N. (2022, May). Developing a web-based stimulus selection hub for anomia treatment using R and Shiny [Poster presentation]. 51st Clinical Aphasiology Conference, Wrightsville Beach, NC, United States.
Qiu, M., & Castro, N. (2021, October). Comparing semantic networks of early vocabulary across languages [Conference presentation]. Complexity and Cognition: Satellite Symposium at the Conference on Complex Systems 2021.
Qiu, M., & Johns, B. T. (2018, November). Memory searching pathway underlying verb fluency [Poster presentation]. Annual Convention of the American Speech-Language-Hearing Association, Boston, MA, United States.