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
Link To Document :
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