DocumentCode
2404501
Title
Word prediction in assistive technologies for aphasia rehabilitation using Systemic Functional Grammar
Author
Sorna, Chris ; Steele, Richard ; Inoue, Atsushi
Author_Institution
Comput. & Eng. Sci., Eastern Washington Univ., Cheney, WA, USA
fYear
2009
fDate
14-17 June 2009
Firstpage
1
Lastpage
6
Abstract
This paper 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.
Keywords
grammars; handicapped aids; natural language processing; aphasia rehabilitation; assistive technology; contextual analysis; language production task; natural language processing; syntactic analysis; systemic functional grammar; word prediction; Context; Graphical user interfaces; Graphics; Information processing; Medical treatment; Natural language processing; Natural languages; Paper technology; Production; Speech; alternative and augmentative communication; aphasia; lexicogrammar; natural language processing; systemic functional grammar;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 2009. NAFIPS 2009. Annual Meeting of the North American
Conference_Location
Cincinnati, OH
Print_ISBN
978-1-4244-4575-2
Electronic_ISBN
978-1-4244-4577-6
Type
conf
DOI
10.1109/NAFIPS.2009.5156389
Filename
5156389
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