Computational Models of Retrieval Processes in Sentence Processing

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 15 Jun 2019 English Publisher:Elsevier BVJournal:Trends in Cognitive Sciences, volume 23, pages 968-982 (issn: 1364-6613,

Copyright policy )Funded by:DFG | unidentified, DFG | Limits of Variability in ...

Authors: Vasishth , Shravan; Burchert, Frank; Nicenboim , Bruno; Engelmann , Felix;

doi: 10.1016/j.tics.2019.09.003 , 10.31234/osf.io/e4jds , 10.1016/j.tics.2021.07.002

pmid: 31668586

Computational Models of Retrieval Processes in Sentence Processing

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Abstract

Sentence comprehension requires that the comprehender work out who did what to whom. This process has been characterized as retrieval from memory. This review summarizes the quantitative predictions and empirical coverage of the two existing computational models of retrieval, and shows how the predictive performance of these two competing models can be tested against a benchmark data-set. We also show how computational modeling can help us better understand sources of variability in both unimpaired and impaired sentence comprehension.

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