A neuro-cognitive model of comprehension based on prediction and unification.
facilitation
language processing
neuro-cognitive model
prediction
unification
Journal
Frontiers in human neuroscience
ISSN: 1662-5161
Titre abrégé: Front Hum Neurosci
Pays: Switzerland
ID NLM: 101477954
Informations de publication
Date de publication:
2024
2024
Historique:
received:
15
12
2023
accepted:
20
03
2024
medline:
24
4
2024
pubmed:
24
4
2024
entrez:
24
4
2024
Statut:
epublish
Résumé
Most architectures and models of language processing have been built upon a restricted view of language, which is limited to sentence processing. These approaches fail to capture one primordial characteristic: efficiency. Many facilitation effects are known to be at play in natural situations such as conversation (shallow processing, no real access to the lexicon, etc.) without any impact on the comprehension. In this study, on the basis of a new model integrating into a unique architecture, we present these facilitation effects for accessing the meaning into the classical compositional architecture. This model relies on two mechanisms, prediction and unification, and provides a unique architecture for the description of language processing in its natural environment.
Identifiants
pubmed: 38655372
doi: 10.3389/fnhum.2024.1356541
pmc: PMC11035797
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1356541Informations de copyright
Copyright © 2024 Blache.
Déclaration de conflit d'intérêts
The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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