2022
Dim Wihl Gat Tun: The Case for Linguistic Expertise in NLP for Under-Documented Languages
ACL 2022findings
Recent progress in NLP is driven by pretrained models leveraging massive datasets and has predominantly benefited the world’s political and economic superpowers. Technologically underserved languages are left behind because they lack such resources. Hundreds of underserved languages, nevertheless, h…