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Linguistics has long been dominated by a monolithic conceptualization of human language processing. This is surprising given the simple observation that speakers, even of the same language, differ both in terms of their cognitive abilities and traits and in terms of the experiences they have over the course of their lives. Moreover, they use language for different purposes and under different task pressures.
Kyla does research at the intersection of usage-based linguistics and psycholinguistics and evaluates mechanisms of probabilistic language processing, such as prediction (the anticipation of upcoming words), retrodiction (facilitated backward integration of probabilistically likely words), and chunking (understanding several words as a single, meaning-bearing conglomerate). This is all undertaken through the lens of individual differences and task effects.
Kyla McConnell submitted their cumulative dissertation on July 12, 2023, including three publications:
McConnell, K., & Blumenthal-Dramé, A. (2019). Effects of task and corpus-derived association scores on the online processing of collocations. Corpus Linguistics and Linguistic Theory, 18(1), 33–76. https://doi.org/10.1515/cllt-2018-0030
McConnell, K., & Blumenthal-Dramé, A. (2021). Usage-Based Individual Differences in the Probabilistic Processing of Multi-Word Sequences. Frontiers in Communication, 6, 1– 19. https://doi.org/10.3389/fcomm.2021.703351
McConnell, K. (2023). Individual differences in holistic and compositional language processing. Journal of Cognition, 6(1), 1–24. https://doi.org/10.5334/joc.283
As well as one draft publication which is currently under revision:
McConnell, K., Zámečník, J., & Blumenthal-Dramé, A. (submitted). Individual differences in lexical chunking during online reading.