Antoine Cadotte Student (Master's degree), GERAD share Université du Québec à Montréal Education since Sep 2020 Master's degree Learning universal representations for less-resourced indigenous languages Université du Québec à Montréal – Department of Computer Science, Fatiha Sadat, director Publications Jul 2022 Deep Learning-Based Morphological Segmentation for Indigenous Languages: A Study Case on Innu-Aimun Tan Ngoc Le, Antoine Cadotte, Mathieu Boivin, and Fatiha Sadat NAACL 2022 | Proceedings of the Third Workshop on Deep Learning for Low-Resource Natural Language Processing, 146–151, 2022 BibTeX reference May 2022 Challenges and Perspectives for Innu-Aimun within Indigenous Language Technologies Antoine Cadotte, Tan Ngoc Le, Mathieu Boivin, and Fatiha Sadat Proceedings of the Fifth Workshop on the Use of Computational Methods in the Study of Endangered Languages, Dublin, Ireland, 99–108, 2022 BibTeX reference