AfroLM vs SERENGETI

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AfroLM SERENGETI

Tags

nlp, african-languages, masked-language-model, active-learning, data-efficient

nlp, masked-language-model, 517-languages, afrocentric, ubc-nlp

Links

Website Docs GitHub

Summary

A multilingual masked language model pretrained from scratch on 23 African languages using a self-active learning framework, outperforming AfriBERTa, mBERT and XLMR-base on NER and sentiment tasks. Created by Bonaventure Dossou and collaborators, published at SustaiNLP/EMNLP 2022.

A massively multilingual masked language model covering 517 African languages and varieties across five scripts, achieving state-of-the-art results on the AfroNLU benchmark. Developed by the UBC Deep Learning and NLP Lab as an Afrocentric resource.

Full details: AfroLM Full details: SERENGETI