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Study tests reference-free triage of LLM translation errors in Pali texts
A new arXiv paper examines how to decide which machine translations of classical texts need expert review when no human reference translation exists. Using Pali-to-English as a test case, it combines source-novelty measures, GEMBA-style quality scoring, and a limited review budget. The goal is a practical way to route scarce expert attention to the most error-prone outputs.