Language Disorders in the Brain: Distinguishing Aphasia Forms with Recurrent Networks

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.

@InProceedings{WPH99, 
 	 author =  {Wermter, Stefan and Panchev, Christo and Houlsby, Jason},  
 	 title = {Language Disorders in the Brain: Distinguishing Aphasia Forms with Recurrent Networks}, 
 	 booktitle = {Proceedings of AAAI*99 Conference Workshop on Neuroscience and Neural Computation},
 	 editors = {},
 	 number = {},
 	 volume = {},
 	 pages = {93--98},
 	 year = {1999},
 	 month = {},
 	 publisher = {},
 	 doi = {}, 
 }