Using a knowledge base both to inject person names into a translator and to grade it inflates entity accuracy by up to 2.7 times, and the entire apparent gain sits in the resource-overlapping segment.
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When the Knowledge Base Becomes the Gold Standard: Measuring Resource-Shared Evaluation Loops in Entity-Level Machine Translation
Using a knowledge base both to inject person names into a translator and to grade it inflates entity accuracy by up to 2.7 times, and the entire apparent gain sits in the resource-overlapping segment.