I am an Associate Professor in the Linguistics Department at the University of Pennsylvania. My lab, the Child Language Lab, studies how children acquire language. You can view my CV here.
Teaching
- ⭐️ Acquisition of Morphology
- Data Science for Studying Language and the Mind
- Neurolinguistics
- Acquisition of Variation
- Language and the Brain
- Introduction to Linguistics
Papers
Chen**, Y. & Schuler, K.D. (under review) Structure and sound: How similarity and consistency jointly shape language learning and change. Cognitive Science. [PsyArXiv] [data]
Li**, D. & Schuler, K.D. (under review) Children's distributional learning of recursive structures: Capacities and constraints. Journal of Memory and Language. [PsyArXiv]
Schuler, K.D. & Chen**, Y. (under review) The role of frequency and optionality in the regularization of linguistic variation. Glossa Psycholinguistics [PsyArXiv] [data]
Li**, D. & Schuler, K.D. (under review) Distributional learning of recursive structures is constrained by structural representations. Cognition [PsyArXiv] [data]
Schuler, K.D., Reeder, P.A., Getz, H., Kissinger, K., Newport, E.L. & Aslin, R.N. (2026) 6-To-8 Year-Old Children Adjust Their Linguistic Generalizations Based on Distributional Cues Journal of Cognition and Development
Li., D.** & Schuler, K. (2025) Children can use distributional cues to acquire recursive structures. Proceedings of the 49th annual Boston University Conference on Language Development [pdf]
Chen, Y.** & Schuler, K.D. (2024) Acquisition of a rare variant: ne-realization in the negative utterances of French children and their caregivers. Language Learning and Development [pdf][data] Peter Jusczyk Best Paper Award
Li, D** & Schuler, K.D. (2024) Children can use distributional cues to acquire recursive structures. Proceedings of the 46th annual conference of the Cognitive Science Society. [pdf]
Li, D.** & Schuler. K.D. (2023) Acquiring recursive structures through distributional learning. Language Acquisition Awarded best paper by untenured scientists [pdf]
Chen. Y.** & Schuler, K. (2023) Variable ne in the negative utterances of French children and their caregivers. Proceedings of the 47th Boston University Conference on Language Development [pdf]
Li, D.** & Schuler, K. (2023) Distributional learning of recursive structures: the role of the structural representation. Proceedings of the 47th Boston University Conference on Language Development [pdf]
Li, D..** & Schuler, K. (2023) Adapting infant looking time paradigms for the web. Proceedings of the 47th Boston University Conference on Language Development [pdf]
Chen. Y.** & Schuler, K. (2022) Adults regularize unpredictable variation when variants resemble possible speech errors. Proceedings of the Linguistic Society of America Vol 7, No 1. [pdf]
Fama, M.E., Schuler, K.D., Newport, E.L., & Turkeltaub, P.E. (2022) Impacts of healthy aging and left hemisphere stroke on statistical language learning. Language Cognition and Neuroscience [pdf]
Austin, A., Schuler, K.D., Furlong, S. & Newport, E.L. (2022) Learning a language from inconsistent input: Regularization in child and adult learners. Language Learning and Development [pdf]
Li, D.** & Schuler, K. (2021) Distributional Learning of Recursive Structures Proceedings of the 43rd Annual meeting of the Cognitive Science Society [pdf]
Pophristic, S.** & Schuler, K.D. (2021) The role of gender in the acquisition of the Serbian case system. Proceedings of the Linguistic Society of America, 6(1), 896–905. [pdf]
Chen, Y.** & Schuler, K.D. (2020) Does Learner’s preference match the typological pattern of Animacy Hierarchy in morphological marking? University of Pennsylvania Working Papers in Linguistics Vol 27, No 1. [pdf]
Schuler, K. D., Kodner, J., & Caplan, S. (2020). Abstractions are good for brains and machines: A commentary on Ambridge (2020). First Language [pdf]
Culbertson, J.C. & Schuler, K.D. (2019). Artificial language learning in children. Annual Review of Linguistics. [pdf]
Schuler, K.D., Reeder, P.A., Newport, E.L., & Aslin, R.N. (2017) The effect of Zipfian frequency variations on category formation in adult artificial language learning. Language Learning and Development. [pdf]
Schuler, K.D., Yang, C. & Newport, E.L. (2016). Testing the Tolerance Principle: Children form productive rules when it is more computationally efficient to do so. In Papafragou, A., Grodner, D., Mirman, D., & Trueswell, J.C. (Eds.) Proceedings of the 38th annual meeting of the Cognitive Science Society. [pdf]
Schwab, J.F., Schuler, K.D., Stillman, C.M., Newport, E.L. Howard, J.H., & Howard, D.V. (2016) Aging and the Statistical Learning of Grammatical Form Classes. Psychology and Aging, 2016, 31, 481-487. [pdf]
Booth, A.E., Schuler, K., & Zajicek, R. (2010). Specifying the role of function in infant categorization. Infant Behavior and Development, 33(4), 672-684. [pdf]