AI RESEARCH
Is Human Annotation Necessary? Iterative MBR Distillation for Error Span Detection in Machine Translation
arXiv CS.AI
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ArXi:2603.12983v1 Announce Type: cross Error Span Detection (ESD) is a crucial subtask in Machine Translation (MT) evaluation, aiming to identify the location and severity of translation errors. While fine-tuning models on human-annotated data improves ESD performance, acquiring such data is expensive and prone to inconsistencies among annotators.