A new method to generate automatically highly standardized reading chart text in multiple languages: the case of MNREAD

Aurelie Calabrese (1, 2, 3) , Alexandre Bonlarron (4, 5) , Jean-Charles Régin (5) , Pierre Kornprobst (6, 4)

1 AMU - Aix Marseille Université
2 LPC - Laboratoire de psychologie cognitive
3 CNRS - Centre National de la Recherche Scientifique
4 BIOVISION - Biologically plausible Integrative mOdels of the Visual system : towards synergIstic Solutions for visually-Impaired people and artificial visiON
5 C&A - Constraints and Applications
6 UniCA - Université Côte d'Azur

Mots clés: constrained text generation; MNREAD; reading performance; normal vision

Domaines: Sciences cognitives

Aurelie Calabrese, Alexandre Bonlarron, Jean-Charles Régin, Pierre Kornprobst. A new method to generate automatically highly standardized reading chart text in multiple languages: the case of MNREAD. ARVO 2024, May 2024, Seattle (USA), Washington, United States. ⟨hal-04576614v1⟩