Papers by Chloé Dion
A Multimodal French Corpus of Aligned Speech, Text, and Pictogram Sequences for Speech-to-Pictogram Machine Translation (2024.lrec-main)
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Cécile Macaire, Chloé Dion, Jordan Arrigo, Claire Lemaire, Emmanuelle Esperança-Rodier, Benjamin Lecouteux, Didier Schwab
| Challenge: | Existing algorithms for the automatic translation of spoken language into pictogram units are lacking for language impairments. |
| Approach: | They propose to use a French dataset that contains 230 hours of speech resources to create a rule-based pictogram grammar with a restricted vocabulary and a discussion of strategic decisions. |
| Outcome: | The proposed model is validated through multiple post-editing phases by expert annotators and is freely available under a non-commercial licence. |