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

Stefan Wermter; Christo Panchev; Jason Houlsby

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

Stefan Wermter, Christo Panchev, Jason Houlsby

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

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 language	English
Title of host publication	In Proceedings of the AAAI'99 Conference Workshop on Computational Neuroscience and Neural Computation
Pages	52-56
Number of pages	5
Publication status	Published - Apr 1999
Externally published	Yes

Cite this

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title = "Language disorders in the brain: Distinguishing aphasia forms with recurrent networks",

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 aphasicsand a control group of normal subjects on the basis of syntactic knowledge? This approach could aid diagnosis/classification of potential language disorders inthe brain and it also addresses computational modeling of language acquisition",

author = "Stefan Wermter and Christo Panchev and Jason Houlsby",

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T1 - Language disorders in the brain: Distinguishing aphasia forms with recurrent networks

AU - Wermter, Stefan

AU - Panchev, Christo

AU - Houlsby, Jason

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Y1 - 1999/4

N2 - 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 aphasicsand a control group of normal subjects on the basis of syntactic knowledge? This approach could aid diagnosis/classification of potential language disorders inthe brain and it also addresses computational modeling of language acquisition

AB - 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 aphasicsand a control group of normal subjects on the basis of syntactic knowledge? This approach could aid diagnosis/classification of potential language disorders inthe brain and it also addresses computational modeling of language acquisition

M3 - Conference proceeding

SP - 52

EP - 56

BT - In Proceedings of the AAAI'99 Conference Workshop on Computational Neuroscience and Neural Computation

ER -

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

Abstract

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Cite this