Author

Kathy Hämmerl

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#natural language process... Preprint Sep 2026

LocQE: Principled Domain Adaptation for Localisation Quality Estimation by Leveraging Post-Edits

This work creates a QE model which proves markedly better at distinguishing preferred post-edits from rejected initial translations in a localisation context, and argues that to calibrate metrics both in terms of their absolute scores and comparisons between translation of the same source, both types of signal are need...

Kathy Hämmerl, Gabriel Bretschner, Joern Wuebker · 0 citations

Preprint Aug 2026

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment -- Is English Enough?

A PMI-based translation metric is proposed, which is less dependent on the target language and correlates strongly with chrF, and finds that CLA with English predicts translation quality comparably to or better than source-target CLA.

Adnan Al Ali, Kathy Hämmerl, Jindrich Libovický et al. · 0 citations