Robustness Tests for Automatic Machine Translation Metrics with Adversarial Attacks (2023.findings-emnlp)
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| Challenge: | BERTScore, BLEURT, and COMET are automatic evaluation metrics that are often underperformed on adversarially-synthesized texts. |
| Approach: | They examine MT evaluation metric performance on adversarially-synthesized texts . they validate that automatic metrics tend to overpenalize adversarial-degraded translations . |
| Outcome: | The results show that automatic metrics tend to overpenalize adversarially-degraded translations. |
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