Search Results for author: Émilie Pagé-Perron

Found 1 papers, 1 papers with code

How Low is Too Low? A Computational Perspective on Extremely Low-Resource Languages

2 code implementations ACL 2021 Rachit Bansal, Himanshu Choudhary, Ravneet Punia, Niko Schenk, Jacob L Dahl, Émilie Pagé-Perron

Despite the recent advancements of attention-based deep learning architectures across a majority of Natural Language Processing tasks, their application remains limited in a low-resource setting because of a lack of pre-trained models for such languages.

Machine Translation named-entity-recognition +4

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