1. Towards Word Semantics from Multi-modal Acoustico-Motor Integration: Application of the Bijama Model to the Setting of Action-Dependant Phonetic Representations
- Author
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Olivier Ménard, Frédéric Alexandre, Hervé Frezza-Buet, Neuromimetic intelligence (CORTEX), INRIA Lorraine, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université Henri Poincaré - Nancy 1 (UHP)-Université Nancy 2-Institut National Polytechnique de Lorraine (INPL)-Centre National de la Recherche Scientifique (CNRS)-Université Henri Poincaré - Nancy 1 (UHP)-Université Nancy 2-Institut National Polytechnique de Lorraine (INPL)-Centre National de la Recherche Scientifique (CNRS), and Stefan Wermter and Günther Palm and Mark Elshaw
- Subjects
Artificial neural network ,Computer science ,Process (engineering) ,business.industry ,Association (object-oriented programming) ,Phonetics ,02 engineering and technology ,Semantics ,computer.software_genre ,03 medical and health sciences ,0302 clinical medicine ,Modal ,Learning rule ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,continuum neural field theory self-organized maps multi-modal ,Artificial intelligence ,business ,computer ,030217 neurology & neurosurgery ,Word (computer architecture) ,Natural language processing - 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.
- Published
- 2005
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