Cogprints
Login | Create Account

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

Gopych, Petro M. (2000) Quantitative Neural Network Model of the Tip-of-the-Tongue Phenomenon Based on Synthesized Memory-Psycholinguistic-Metacognitive Approach. [Conference Paper]

Full text available as:

[img]ASCII
5Kb

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

Item Type:Conference Paper
Keywords:tip-of-the-tongue, artificial neural network, computer model, memory, psycholinguistics, metacognition, spoken word production
Subjects:Linguistics > Computational Linguistics
ID Code:1033
Deposited By:Gopych, Petro
Deposited On:17 Oct 2000
Last Modified:12 Sep 2007 17:36

References in Article

Select the SEEK icon to attempt to find the referenced article. If it does not appear to be in cogprints you will be forwarded to the paracite service. Poorly formated references will probably not work.

1. Levelt, W.J.M. (1999) Models of word production. Trends in Cognitive Sciences, 3, 223-232.

2. Schwartz, B.L. (1999) Sparking at the end of the tongue: The etiology of tip-of-the-tongue phenomenology. Psychonomic Bulletin & Review, 6, 379-393.

3. Gopych, P.M. (1999) Determination of memory performance. JINR Rapid Communications, No.4[96]-99, 61-68.

4. Vigliocco, G. (2000) Language processing: The anatomy of meaning and syntax. Current Biology, 10, R78-R80.

Metadata

Repository Staff Only: item control page

Cogprints is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.