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KEMT Benchmark Evaluates AI Translation Performance for Five Kenyan Languages

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A researcher created the Kenyan Machine Translation Benchmark to test general-purpose AI models. The benchmark evaluates translations between English and five Kenyan languages: Kalenjin, Kikuyu, Dholuo, Somali, and Maasai. It was developed after initial plans for a broader 14-language African benchmark were reconsidered. The final version uses 162 English prompts to generate over 1,700 translation items per model for assessment.

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