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Neurolinguistic Evidence for Predictive Coding in Language Comprehension

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  • Sally Chege

Abstract

Purpose: The aim of this study was to examine neurolinguistic evidence for predictive coding in language comprehension. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to neurolinguistic evidence for predictive coding. Preliminary empirical review revealed that predictive coding is essential in narrative comprehension, where the brain anticipates and integrates events to maintain coherence. It found that when narratives deviated from expectations, prediction error signals were activated, highlighting the brain's role in adjusting its predictions. Unique Contribution to Theory, Practice and Policy: The study recommended further exploration of predictive coding in various narrative structures and its application in educational and clinical settings.

Suggested Citation

  • Sally Chege, 2025. "Neurolinguistic Evidence for Predictive Coding in Language Comprehension," International Journal of Linguistics, IPRJB, vol. 6(1), pages 53-69.
    • Handle: RePEc:bdu:ojtijl:v:6:y:2025:i:1:p:53-69:id:3291
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    File URL: https://www.iprjb.org/journals/article/view/3291/3999
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    More about this item

    Keywords

    Predictive Coding; Narrative Comprehension; Neural Mechanisms; Language Processing; Prediction Errors I21; J24; Z11; C81; D83;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • Z11 - Other Special Topics - - Cultural Economics - - - Economics of the Arts and Literature
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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