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Related Concept Videos

Storage01:23

Storage

A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze each...
Chunking and Rehearsal in Sensory Memory01:22

Chunking and Rehearsal in Sensory Memory

Improving short-term memory can be achieved through techniques like chunking and rehearsal. Chunking involves organizing information into larger, more manageable units. This technique is particularly useful for information that exceeds the typical memory span of between five and nine items. For instance, logging into an online account with a password like "ta89vq0179gz" involves grouping letters and numbers into three chunks—ta89, vq01, and 79gz. It makes large amounts of information more...
Retrieval01:12

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Interference and Decay01:16

Interference and Decay

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Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

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Elaborative Rehearsals01:07

Elaborative Rehearsals

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Related Experiment Video

Updated: Jul 17, 2026

Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
08:32

Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks

Published on: September 5, 2019

Memory Retrieval in Online Sentence Parsing: Empirical Evidence, Computational Modelling, and Simulations.

Hiroki Fujita1

  • 1Department of Linguistics, University of Potsdam, Karl-Liebknecht-Straße 24-25, 14476 Potsdam, Germany.

Computational Brain & Behavior
|July 16, 2026
PubMed
Summary

This study explores how memory retrieval influences sentence processing. A new model, the Revision Integrated Cue-Based (RICB) model, explains how structural information and revision are key to retrieving information during language comprehension.

Keywords:
ACT–RComputational modellingComputational simulationsLanguage comprehensionMemory retrievalQuantifier floatRevisionSentence parsingSentence processing

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Related Experiment Videos

Last Updated: Jul 17, 2026

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Published on: September 5, 2019

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Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language

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Area of Science:

  • Cognitive Science
  • Psycholinguistics
  • Computational Neuroscience

Background:

  • Memory retrieval is crucial for real-time sentence processing.
  • Linguistic cues guide memory retrieval for dependency formation.
  • Similarity-based interference in memory retrieval is a debated topic.

Purpose of the Study:

  • Investigate memory retrieval processes during sentence comprehension.
  • Empirically test similarity-based interference using floating quantifiers.
  • Develop and validate a computational model for memory retrieval in sentence processing.

Main Methods:

  • Conducted two behavioral experiments (Experiments 1 and 2).
  • Utilized computational simulations based on the ACT-R architecture.
  • Employed Bayesian linear mixed models and Bayes factor analyses.

Main Results:

  • Evidence for similarity-based interference was found in sentence processing.
  • Observed interference patterns did not align with existing theories.
  • The Revision Integrated Cue-Based (RICB) model successfully predicted experimental data.

Conclusions:

  • Structural information plays a significant role in memory retrieval.
  • The concepts of initial retrieval and revision are vital for accurate memory access.
  • The RICB model provides a robust framework for understanding memory retrieval in sentence processing.