AI Resources

AfriCOMET

AI Resources
MT Evaluation
Docs live

AfriCOMET is a COMET-based machine translation evaluation model for African languages, scoring translation quality from source, hypothesis and reference triplets. The STL-1.1 version uses the afro-xlmr-large-76L encoder and was validated in the WMT 2024 Metrics Shared Task across 13 African-centric language pairs. It is released by the Masakhane community with reference-based and quality-estimation variants.

Category
AI Resources
Pricing
Open weights (Apache 2.0)
Country
🌍 Pan-African
Last verified
10 Jul 2026

Verification history

  • 10 Jul 2026 · live
  • 7 Jul 2026 · live

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Tags

african-languages
machine-translation
masakhane
evaluation
comet