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

Presented at01.09.2021
First online date2021-09-01
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.

Keywords
  • machine translation
  • augmentative and alternative communication
  • aac
  • pictograph
  • wordnet
  • french
  • arasaac
Citation (ISO format)
NORRÉ, Magali et al. Extending a Text-to-Pictograph System to French and to Arasaac. In: Proceedings of Recent Advances in Natural Language Processing (RANLP 2021). [s.l.] : [s.n.], 2021. p. 1050–1059. doi: 10.26615/978-954-452-072-4_118
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Creation11/22/2021 9:32:00 AM
First validation11/22/2021 9:32:00 AM
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