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LocQE: Principled Domain Adaptation for Localisation Quality Estimation by Leveraging Post-Edits
Learned quality estimation (QE) models such as COMETKiwi are widespread and work well for general machine translation evaluation. However, they are known to struggle on unseen domains, limiting their performance in a real-world localisation context. We show that they are insensitive to some importan
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