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Related Experiment Video

Updated: Jun 19, 2026

Using Eye Movements to Evaluate the Cognitive Processes Involved in Text Comprehension
06:49

Using Eye Movements to Evaluate the Cognitive Processes Involved in Text Comprehension

Published on: January 10, 2014

Sentence perception as an interactive parallel process.

W D Marslen-Wilson

    Science (New York, N.Y.)
    |July 18, 1975
    PubMed
    Summary
    This summary is machine-generated.

    Restoring disrupted words in sentences relies on meaning and grammar. This shows how language structure and word sounds interact during real-time sentence processing.

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    Related Experiment Videos

    Last Updated: Jun 19, 2026

    Using Eye Movements to Evaluate the Cognitive Processes Involved in Text Comprehension
    06:49

    Using Eye Movements to Evaluate the Cognitive Processes Involved in Text Comprehension

    Published on: January 10, 2014

    Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
    09:27

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

    Published on: October 13, 2018

    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

    Area of Science:

    • Cognitive Science
    • Psycholinguistics
    • Neuroscience

    Background:

    • Sentence processing involves integrating various linguistic levels.
    • Understanding how the brain restores disrupted words is key to psycholinguistics.
    • Previous research highlights the role of context in language comprehension.

    Purpose of the Study:

    • To investigate the role of semantic and syntactic context in word restoration during sentence shadowing.
    • To demonstrate the on-line interaction between different levels of sentence processing.

    Main Methods:

    • Sentence shadowing task with disrupted words.
    • Analysis of word restoration accuracy based on contextual variables.
    • Investigating interactions between lexical, phonetic, and structural sentence processing.

    Main Results:

    • Word restoration accuracy is significantly influenced by semantic context.
    • Syntactic context also plays a crucial role in restoring disrupted words.
    • Evidence for real-time interaction between structural, lexical, and phonetic processing levels.

    Conclusions:

    • Sentence processing is a dynamic, multi-level interaction.
    • Semantic and syntactic information are integrated on-line to resolve word disruptions.
    • The findings support interactive models of sentence comprehension.