Impairment and rehabilitation in bilingual aphasia: a SOM-based model

Authors:
Uli Grasemann;Chaleece Sandberg;Swathi Kiran;Risto Miikkulainen
Affiliations:
Department of Computer Science, The University of Texas at Austin, Austin, TX;Department of Speech, Language & Hearing Sciences, Boston University, Boston, MA;Department of Speech, Language & Hearing Sciences, Boston University, Boston, MA;Department of Computer Science, The University of Texas at Austin, Austin, TX
Venue:
WSOM'11 Proceedings of the 8th international conference on Advances in self-organizing maps
Year:
2011

Citing 3
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Abstract

Bilingual aphasia is of increasing interest because a large and growing proportion of the world's population is bilingual. Current clinical research on this topic cannot provide specific recommendations on which language treatment should focus in a bilingual aphasic individual and to what extent cross-language transfer occurs during or after rehabilitation. This paper describes a SOM-based model of the bilingual lexicon, and reports on simulations of impairment and rehabilitation in bilingual aphasia. The goal is to create computational methods that can complement clinical research in developing a better understanding of mechanisms underlying recovery, and that could be used in the future to predict the most beneficial treatment for individual patients.