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Retrieval is the process of getting information out of memory storage and back into conscious awareness. This ability is essential for daily tasks like brushing hair and teeth, driving to work, and performing job duties. Retrieval occurs in three ways: recall, recognition, and relearning.
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Related Experiment Video

Updated: Jan 4, 2026

Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
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Computational Models of Retrieval Processes in Sentence Processing.

Shravan Vasishth1, Bruno Nicenboim1, Felix Engelmann2

  • 1Department of Linguistics, University of Potsdam, Potsdam, Germany.

Trends in Cognitive Sciences
|November 1, 2019
PubMed
Summary
This summary is machine-generated.

Understanding sentence meaning involves recalling information. This review compares two computational models of memory retrieval, crucial for sentence comprehension in both typical and impaired individuals.

Keywords:
comprehension impairments in aphasiacue-based retrievalindividual differencesretrieval interference

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Area of Science:

  • Cognitive Science
  • Computational Linguistics
  • Neuroscience

Background:

  • Sentence comprehension relies on identifying actors and actions.
  • This cognitive process is often modeled as information retrieval from memory.

Purpose of the Study:

  • To review and compare two computational models of memory retrieval in sentence comprehension.
  • To outline methods for testing these models against empirical data.
  • To explore how computational modeling can illuminate comprehension variability.

Main Methods:

  • Quantitative analysis of predictions from two existing computational models.
  • Comparison of model predictions against a benchmark dataset.
  • Assessment of empirical coverage of the models.

Main Results:

  • The review provides a comparative analysis of the two models' predictions.
  • A framework for testing model performance is presented.
  • The study highlights the utility of computational modeling in understanding comprehension.

Conclusions:

  • Computational models offer testable predictions for sentence comprehension.
  • Comparing models against data is essential for advancing cognitive theories.
  • Modeling aids in understanding factors influencing comprehension in diverse populations.