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Investigating the Medical Coverage of a Translation System into Pictographs for Patients with an Intellectual Disability
Magali Norré, Vincent Vandeghinste, Thomas François, Bouillon Pierrette
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.
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