Title
Towards word semantics from multi-modal acoustico-motor integration: application of the bijama model to the setting of action-dependant phonetic representations
Abstract
This paper presents a computational self-organizing model of multi-modal information, inspired from cortical maps. It shows how the organization in a map can be influenced by the same process occurring in other maps. We illustrate this approach on a phonetic – motor association, that shows that the organization of words can integrate motor constraints, as observed in humans.
Year
DOI
Venue
2005
10.1007/11521082_9
Biomimetic Neural Learning for Intelligent Robots
Keywords
Field
DocType
multi-modal acoustico-motor integration,multi-modal information,motor association,bijama model,motor constraint,computational self-organizing model,action-dependant phonetic representation,cortical map,towards word semantics,self organization
Computer science,Self-organization,Phonetics,Learning rule,Natural language processing,Artificial intelligence,Dependant,Artificial neural network,Semantics,Robotics,Modal
Conference
Volume
ISSN
ISBN
3575
0302-9743
3-540-27440-5
Citations 
PageRank 
References 
1
0.35
5
Authors
3
Name
Order
Citations
PageRank
Olivier Ménard1111.54
Frédéric Alexandre28215.94
Hervé Frezza-Buet38010.20