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Strict glossary constraints artificially inflate translation consistency scores while actively destroying the natural lexical variation that human translators preserve.
Machine translation benchmarks have functionally saturated, but pairing human-authored failure cases with deterministic verification rules reveals critical multimodal blind spots that automated metrics consistently miss.
