• 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