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Benchmarking Gender Bias in Machine Translation Evaluation Metrics across Occupations
Gender bias remains a persistent concern in machine translation (MT), affecting both generated translations and their automatic evaluation. When a source text leaves a person's gender unspecified, translations may realize that person using masculine or feminine forms, and both MT systems and evaluat
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