Modeling the Bilingual Lexicon of an Individual Subject

Authors:
Risto Miikkulainen;Swathi Kiran
Affiliations:
The University of Texas at Austin, Austin, USA TX 78712;Boston University, Boston, USA MA 02215
Venue:
WSOM '09 Proceedings of the 7th International Workshop on Advances in Self-Organizing Maps
Year:
2009

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Abstract

Lexicon is a central component in any language processing system, whether human or artificial. Recent empirical evidence suggests that a multilingual lexicon consists of a single component representing word meanings, and separate component for the symbols in each language. These components can be modeled as self-organizing maps, with associative connections between them implementing comprehension and production. Computational experiments in this paper show that such a model can trained to match the proficiency and age of acquisition of particular bilingual individuals. In the future, it may be possible to use such models to predict the effect of rehabilitation of bilingual aphasia, resulting in more effective treatments.