title: Quantitative Neural Network Model of the Tip-of-the-Tongue Phenomenon Based on Synthesized Memory-Psycholinguistic-Metacognitive Approach
creator: Gopych, Petro M.
subject: Computational Linguistics
description: 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
publisher: Universum
contributor: Grabko, Volodymyr
date: 2000
type: Conference Paper
type: NonPeerReviewed
format: text/plain
identifier: http://cogprints.org/1033/1/IES_2000.txt
identifier:   Gopych, Petro M.  (2000) Quantitative Neural Network Model of the Tip-of-the-Tongue Phenomenon Based on Synthesized Memory-Psycholinguistic-Metacognitive Approach.  [Conference Paper]     
relation: http://cogprints.org/1033/