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Seamus Donnelly; Caroline Rowland; Franklin Chang; Evan Kidd – Cognitive Science, 2024
Prediction-based accounts of language acquisition have the potential to explain several different effects in child language acquisition and adult language processing. However, evidence regarding the developmental predictions of such accounts is mixed. Here, we consider several predictions of these accounts in two large-scale developmental studies…
Descriptors: Prediction, Error Patterns, Syntax, Priming
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Jiuzhou Hao; Vasiliki Chondrogianni; Patrick Sturt – Journal of Child Language, 2025
The present study investigated whether children's difficulty with non-canonical structures is due to their non-adult-like use of linguistic cues or their inability to revise misinterpretations using late-arriving cues. We adopted a priming production task and a self-paced listening task with picture verification, and included three Mandarin…
Descriptors: Child Language, Sentences, Sentence Structure, Mandarin Chinese
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Jacobs, Cassandra L.; Cho, Sun-Joo; Watson, Duane G. – Cognitive Science, 2019
Syntactic priming in language production is the increased likelihood of using a recently encountered syntactic structure. In this paper, we examine two theories of why speakers can be primed: error-driven learning accounts (Bock, Dell, Chang, & Onishi, 2007; Chang, Dell, & Bock, 2006) and activation-based accounts (Pickering &…
Descriptors: Priming, Syntax, Prediction, Linguistic Theory
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Slevc, L. Robert; Ferreira, Victor S. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2013
Natural language contains disfluencies and errors. Do listeners simply discard information that was clearly produced in error, or can erroneous material persist to affect subsequent processing? Two experiments explored this question using a structural priming paradigm. Speakers described dative-eliciting pictures after hearing prime sentences that…
Descriptors: Experimental Psychology, Error Patterns, Priming, Syntax
Fine, Alex Brabham – ProQuest LLC, 2013
A fundamental challenge for human cognition is perceiving and acting in a world in which the statistics that characterize available sensory data are non-stationary. This thesis focuses on this problem specifically in the domain of sentence comprehension, where linguistic variability poses computational challenges to the processes underlying…
Descriptors: Prediction, Language Research, Syntax, Language Variation