Computational Models of Retrieval Processes in Sentence Processing

Shravan Vasishth*, Bruno Nicenboim, Felix Engelmann, Frank Burchert

*Corresponding author for this work

Research output: Contribution to journalReview articleScientificpeer-review

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.

Original languageEnglish
Pages (from-to)968-982
Number of pages15
JournalTrends in Cognitive Science
Volume23
Issue number11
DOIs
Publication statusPublished - Nov 2019
Externally publishedYes

Keywords

  • WORKING-MEMORY CAPACITY
  • SIMILARITY-BASED INTERFERENCE
  • INDIVIDUAL-DIFFERENCES
  • EYE-TRACKING
  • SYNTACTIC COMPREHENSION
  • AGREEMENT ATTRACTION
  • APHASIA
  • NUMBER
  • UNDERSPECIFICATION
  • ASYMMETRY

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