A machine translation evaluation pipeline prioritizing Meta's NLLB-200 model and the FLORES-200 dataset, featuring Kaggle-optimized data loading and UMAP embedding visualization.
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Updated
May 9, 2026 - Jupyter Notebook
A machine translation evaluation pipeline prioritizing Meta's NLLB-200 model and the FLORES-200 dataset, featuring Kaggle-optimized data loading and UMAP embedding visualization.
Multilingual LLM-as-a-judge framework with anchored pairwise comparison, CI-driven sampling, and human-calibration support.
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