Computational models of retrieval processes in sentence processing

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Description: [The published paper is available here: https://www.sciencedirect.com/science/article/abs/pii/S1364661319302220?via%3Dihub] 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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The published paper is available here. A more recent version of the model is reported in this paper: https://osf.io/b56qv/. The source code of a simplified R-based implementation of LV05 is available from: https://github.com/felixengelmann/inter-act/, An online web application is available from https://engelmann.shinyapps.io/inter-act/ and allows the user to compute quantitative prediction...

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