Extending a Text-to-Pictograph system to French and to Arasaac

Norré, Magali;Vandeghinste, Vincent;Bouillon, Pierrette;François, Thomas
(2021) Recent Advances in Natural Language Processing — Location: Online (1.September.2021)

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Abstract
We present an adaptation of the Text-to-Picto system, initially designed for Dutch, and extended to English and Spanish. The original system, aimed at people with an intellectual disability, automatically translates text into pictographs (Sclera and Beta). We extend it to French and add a large set of Arasaac pictographs linked to WordNet 3.1. To carry out this adaptation, we automatically link the pictographs and their metadata to synsets of two French WordNets and leverage this information to translate words into pictographs. We automatically and manually evaluate our system with different corpora corresponding to different use cases, including one for medical communication between doctors and patients. The system is also compared to similar systems in other languages.
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Norré, M., Vandeghinste, V., Bouillon, P., & François, T. (2021). Extending a Text-to-Pictograph system to French and to Arasaac. In Galia Angelova, Maria Kunilovskaya, Ruslan Mitkov, Ivelina Nikolova-Koleva (ed.), Proceedings of Recent Advances in Natural Language Processing (p. p. 1050-1059). ACL Anthology. https://hdl.handle.net/2078.5/222292