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Quantitative Neural Network Model of the Tip-of-the-Tongue Phenomenon Based on Synthesized Memory-Psycholinguistic-Metacognitive Approach

2001/03/02 by Petro M. Gopych, P.M. Gopych, Gopych, Petro M. · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Discourse Analysis and Cultural Communication #FOS: Biological sciences #FOS: Computer and information sciences #I.2.7 #Language, Communication, and Linguistic Studies #Neurons and Cognition (q-bio.NC) #Quantitative Methods (q-bio.QM) #cs.AI #cs.CL #q-bio.NC #q-bio.QM

paper · pdf · doi:10.48550/arxiv.cs/0103002

Proceedings of The Second International Conference Internet-Education-Science-2000 (IES-2000): New Informational and Computer Technologies in Education and Science, held on October 10-12, 2000 in Vinnytsia, Ukraine, page 273

arxiv created 2001/03/02 · openalex publication_date 2001/03/02 · arxiv updated 2009/11/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29

Abstract

A new three-stage computer artificial neural network model of the tip-of-the-tongue phenomenon is proposed. Each word's node is build from some interconnected learned auto-associative two-layer neural networks each of which represents separate word's semantic, lexical, or phonological components. The model synthesizes memory, psycholinguistic, and metamemory approaches, bridges speech errors and naming chronometry research traditions, and can explain quantitatively many tip-of-the-tongue effects.

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