Language disorders in the brain: Distinguishing aphasia forms with recurrent networks

Stefan Wermter, Christo Panchev, Jason Houlsby

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Abstract

This paper attempts to identify certain neurobiological constraints of natural language processing and examines the behavior of recurrent networks for the task of classifying aphasic subjects. The specific question posed here is: Can we train a neural network to distinguish between Broca aphasics, Wernicke aphasics
and a control group of normal subjects on the basis of syntactic knowledge? This approach could aid diagnosis/classification of potential language disorders in
the brain and it also addresses computational modeling of language acquisition
Original languageEnglish
Title of host publicationIn Proceedings of the AAAI'99 Conference Workshop on Computational Neuroscience and Neural Computation
Pages52-56
Number of pages5
Publication statusPublished - Apr 1999
Externally publishedYes

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