Deep Learning-Based Morphological Segmentation for Indigenous Languages: A Study Case on Innu-Aimun

Deep Learning-Based Morphological Segmentation for Indigenous Languages: A Study Case on Innu-Aimunadmin_ciera2023-03-26T15:00:07+00:00

Deep Learning-Based Morphological Segmentation for Indigenous Languages: A Study Case on Innu-Aimun

Référence

Le, Ngoc Tan, Antoine Cadotte, Mathieu Boivin, Fatiha Sadat et Jimena Terraza, « Deep Learning-Based Morphological Segmentation for Indigenous Languages: A Study Case on Innu-Aimun » dans Proceedings of the Third Workshop on Deep Learning for Low-Resource Natural Language Processing, dublin, 2022, p. 146-147.