The Ongiini-Eval-OW Benchmark: A Concept Paper for the Planned Benchmarking of Machine Translation and Large Language Models on Oshindonga and Oshikwanyama

arXiv:2609.31727 · cs.CL · Submitted 2026-09-22 · Read on arXiv

cs.CL

Submitted: 2026-09-22

Updated: 2026-09-22

Code: https://github.com/sebkuepers/Ongiini

Terminology

• Benchmark — 34× in this paper · explained in 2 episodes
• Provenance — 6× in this paper · explained in 3 episodes
• Calibration — 3× in this paper · explained in 7 episodes
• Commentary — 3× in this paper · explained in 2 episodes
• Empirical Coverage — 3× in this paper · explained in 2 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• Core — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Annotator Agreement — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Low-Resource Languages — 1× in this paper · explained in 4 episodes
• Scaffolding — 1× in this paper · explained in 3 episodes
• Selection Bias — 1× in this paper · explained in 4 episodes

Sources

• Aya 23: Open Weight Releases to Further Multilingual Progress
• No Language Left Behind: Scaling Human-Centered Machine Translation

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