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Modeling the regular/irregular dissociation in non-fluent aphasia in a recurrent neural network
- Source :
- Proceedings of the Annual Meeting of the Cognitive Science Society; vol 44, iss 44
- Publication Year :
- 2022
-
Abstract
- In the debate between single-route and dual-route models of verb inflection, the dissociation between regular and irregular verbs in the non-fluent variety of aphasia has been a key sticking point for the proponents of the single-route model. This paper adopts a state-of-the-art neural model which has previously been used to learn inflectional morphology, and shows that it can also be used to model data from non-fluent aphasia. This challenges the assumption that a dual-route model is necessary to capture apparent dissociations in aphasia data and encourages a reanalysis of the deficits involved in non-fluent aphasia.
Details
- Database :
- OAIster
- Journal :
- Proceedings of the Annual Meeting of the Cognitive Science Society; vol 44, iss 44
- Notes :
- Krauska, Alexandra, Feldman, Naomi H
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1367488363
- Document Type :
- Electronic Resource