AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A black-box, inference-time diagnostic that tells these two cases apart without retraining or annotation is introduced, with the pattern holding on English-Marathi and English-Tamil, with the failure modes tracking the post-edit distribution rather than MT quality or language family.
EnSiTa is presented, a trilingual multi-domain parallel dataset and benchmark for English, Sinhala and Tamil, and is the most extensive systematically documented multi-domain parallel data creation and benchmarking effort for low-resource MT.
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