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Date of Award
Summer 2009
Rights
Access perpetually restricted to EWU users with an active EWU NetID
Document Type
Thesis: EWU Only
Degree Name
Master of Science (MS) in Computer Science
Department
Computer Science
Abstract
This work investigates the potential application of Natural Language Processing techniques in order to improve the effectiveness of assistive technologies in aphasia rehabilitation. Aphasia rehabilitation has predominately been centered on therapy sessions with speech language pathologists. While Augmentative and Alternative Communication (AAC) devices have made identifiable progress in providing support which is able to be managed by the individual, language production tasks are often challenged by the limitations brought about by aphasia. What follows is a description of a word prediction strategy based on Systemic Functional Grammar, which incorporates syntactic and contextual analysis; and its potential for aiding language production in assistive technologies
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Sorna, Christopher T., "Word prediction in assistive technologies for Aphasia rehabilitation in using Systemic Functional Grammar" (2009). EWU Masters Thesis Collection. 793.
https://dc.ewu.edu/theses/793
