AI Resources
AfroLID vs AfroXLMR
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
Free for research use
Not listed
Verified
Verified
Verified
Last verified
24 Jun 2026
24 Jun 2026
Tags
nlp, african-languages, 517-languages, ubc-nlp, language-identification
nlp, multilingual, african-languages, masked-language-model, xlm-roberta
Summary
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.
AfroXLMR is an XLM-R-large model (0.6B params) adapted to African languages via multilingual adaptive fine-tuning, covering 17 African languages plus Arabic, French, and English. Created by David Adelani (Davlan) and published at COLING 2022 for cross-lingual transfer tasks like NER.