AI Resources
AfriBERTa vs AfroLID
A verified, side-by-side comparison. Both records are status-checked by Findra, so you are comparing what each actually offers today, not a stale listing.
Category
AI Resources
AI Resources
Type
NLP Model
NLP Model
Country
🌍 Pan-African
🌍 Pan-African
Docs status
Docs live
Docs live
Licensing
Institutional only
Pricing
Not listed
Free for research use
Verified
Verified
Verified
Last verified
24 Jun 2026
24 Jun 2026
Tags
nlp, multilingual, african-languages, low-resource, masked-language-model
nlp, african-languages, 517-languages, ubc-nlp, language-identification
Summary
AfriBERTa is a multilingual masked language model (XLM-RoBERTa architecture, ~126M params) pretrained from scratch on 11 African languages including Amharic, Hausa, Igbo, Swahili, and Yoruba. Built by the Castorini lab (University of Waterloo) for text classification and Named Entity Recognition on low-resource African languages.
A neural language identification toolkit that detects which of 517 African languages and varieties a text belongs to across 14 language families, reaching 97.41 macro-F1 after fine-tuning on SERENGETI. Developed by the UBC Deep Learning and NLP Lab and published at EMNLP 2022.