Mengyang Qiu
Assistant Professor
BA, MA, MS, PhD (University of Buffalo)
Office: LHS C112
Phone: 705-748-1011
Email: mengyangqiu@trentu.ca
- Accepting 1-2 practicum students and 1-2 Honours Thesis students.
Research interests:
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. The core inquiries are:
- How much variance in one’s lexical behavior (e.g., word recognition) can be explained by the differences in one’s language experience?
- What test stimuli and types most accurately reflect an individual's linguistic knowledge?
The long-term goal of the research is to delineate the natural changes that occur due to increased linguistic experiences from actual cognitive decline in aging, aiding in improved assessment of neurodegenerative disorders and their precursors.
Teaching:
- PSYC 2400H-A: Introduction to Cognitive Psychology
- PSYC 3220H-A: Neuropsychology
- PSYC 3451H-A: Psychology of Language
Selected publications:
- Park, J., & Qiu, M. (2024). Frustratingly simple prompting-based text denoising. Proceedings of the Second Tiny Papers Track at the Twelfth International Conference on Learning Representations (ICLR 2024). https://arxiv.org/abs/2402.15931
- Zeng, M., Kuang, J., Qiu, M., Song, J., & Park, J. (2024). 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). https://arxiv.org/abs/2402.15930
- 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. https://escholarship.org/uc/item/4b20s6wp
- 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. https://doi.org/10.3758/s13423-019-01691-w
- 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. https://aclanthology.org/W19-4408