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

Research

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.

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MT evaluation
Verified Jul 2026Free / open

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