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Dataset Information

Modeling Individual Differences in Children's Information Integration During Pragmatic Word Learning.


ABSTRACT: Pragmatics is foundational to language use and learning. Computational cognitive models have been successfully used to predict pragmatic phenomena in adults and children - on an aggregate level. It is unclear if they can be used to predict behavior on an individual level. We address this question in children (N = 60, 3- to 5-year-olds), taking advantage of recent work on pragmatic cue integration. In Part 1, we use data from four independent tasks to estimate child-specific sensitivity parameters to three information sources: semantic knowledge, expectations about speaker informativeness, and sensitivity to common ground. In Part 2, we use these parameters to generate participant-specific trial-by-trial predictions for a new task that jointly manipulated all three information source

SUBMITTER: Bohn M 

PROVIDER: S-EPMC10042310 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature