AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages

This paper introduces AfriMTE, human translation-evaluation data with simplified annotation guidelines for 13 African languages, and AfriCOMET, a learned machine translation quality metric built on an African-centric multilingual encoder. It addresses the difficulty of measuring translation progress for under-resourced African languages and reports improved correlation with human judgment over existing metrics.

Category

Research

Pricing

Free / open

Country

🌍 Pan-African

Last verified

10 Jul 2026