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:
![]() |
ASCII
5Kb |
Abstract
A new three-stage computer artificial neural network model of the tip-of-the-tongue phenomenon is proposed. Each words node is build from some interconnected learned auto-associative two-layer neural networks each of which represents separate words 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: | 11 Mar 2011 08:54 |
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.
Metadata
- ASCII Citation
- Atom
- BibTeX
- Dublin Core
- EP3 XML
- EPrints Application Profile (experimental)
- EndNote
- HTML Citation
- ID Plus Text Citation
- JSON
- METS
- MODS
- MPEG-21 DIDL
- OpenURL ContextObject
- OpenURL ContextObject in Span
- RDF+N-Triples
- RDF+N3
- RDF+XML
- Refer
- Reference Manager
- Search Data Dump
- Simple Metadata
- YAML
Repository Staff Only: item control page