Investigating the Medical Coverage of a Translation System into Pictographs for Patients with an Intellectual Disability

Magali Norré, Vincent Vandeghinste, Thomas François, Bouillon Pierrette


Abstract
Communication between physician and patients can lead to misunderstandings, especially for disabled people. An automatic system that translates natural language into a pictographic language is one of the solutions that could help to overcome this issue. In this preliminary study, we present the French version of a translation system using the Arasaac pictographs and we investigate the strategies used by speech therapists to translate into pictographs. We also evaluate the medical coverage of this tool for translating physician questions and patient instructions.
Anthology ID:
2022.slpat-1.6
Volume:
Ninth Workshop on Speech and Language Processing for Assistive Technologies (SLPAT-2022)
Month:
May
Year:
2022
Address:
Dublin, Ireland
Editors:
Sarah Ebling, Emily Prud’hommeaux, Preethi Vaidyanathan
Venue:
SLPAT
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
44–49
Language:
URL:
https://aclanthology.org/2022.slpat-1.6
DOI:
10.18653/v1/2022.slpat-1.6
Bibkey:
Cite (ACL):
Magali Norré, Vincent Vandeghinste, Thomas François, and Bouillon Pierrette. 2022. Investigating the Medical Coverage of a Translation System into Pictographs for Patients with an Intellectual Disability. In Ninth Workshop on Speech and Language Processing for Assistive Technologies (SLPAT-2022), pages 44–49, Dublin, Ireland. Association for Computational Linguistics.
Cite (Informal):
Investigating the Medical Coverage of a Translation System into Pictographs for Patients with an Intellectual Disability (Norré et al., SLPAT 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.slpat-1.6.pdf
Video:
 https://aclanthology.org/2022.slpat-1.6.mp4