3 papers
cs.CL2025
Learning to Translate Ambiguous Terminology by Preference Optimization on Post-Edits
Nathaniel Berger, Johannes Eschbach-Dymanus, Miriam Exel +2
In real world translation scenarios, terminology is rarely one-to-one. Instead, multiple valid translations may appear in a terminology dictionary, but correctness of a translation…
cs.CL2025
Quality-Aware Decoding: Unifying Quality Estimation and Decoding
Sai Koneru, Matthias Huck, Miriam Exel +1
Quality Estimation (QE) models for Neural Machine Translation (NMT) predict the quality of the hypothesis without having access to the reference. An emerging research direction in…
cs.CL2020
A Parallel Evaluation Data Set of Software Documentation with Document Structure Annotation
Bianka Buschbeck, Miriam Exel
This paper accompanies the software documentation data set for machine translation, a parallel evaluation data set of data originating from the SAP Help Portal, that we released to…