5 citations · 5 across the 5 of their papers we have counts for
5 papers
ForMaT: Dataset for Visually-Grounded Multilingual PDF Translation
Michał Ciesiółka, Dawid Wiśniewski, Adrian Charkiewicz +1
We present ForMaT (Format-Preserving Multilingual Translation), a parallel corpus of 3,956 PDFs across 15 language pairs that preserves original layout metadata proposed for multim…
CompactQE: Interpretable Translation Quality Estimation via Small Open-Weight LLMs
Kamil Guttmann, Zofia Fraś, Artur Nowakowski +1
Current state-of-the-art Quality Estimation (QE) in machine translation relies on massive, proprietary LLMs, raising data privacy concerns. We demonstrate that smaller, open-source…
MultiSlav: Using Cross-Lingual Knowledge Transfer to Combat the Curse of Multilinguality
Artur Kot, Mikołaj Koszowski, Wojciech Chojnowski +4
Does multilingual Neural Machine Translation (NMT) lead to The Curse of the Multlinguality or provides the Cross-lingual Knowledge Transfer within a language family? In this study,…
Chasing COMET: Leveraging Minimum Bayes Risk Decoding for Self-Improving Machine Translation
Kamil Guttmann, Mikołaj Pokrywka, Adrian Charkiewicz +1
This paper explores Minimum Bayes Risk (MBR) decoding for self-improvement in machine translation (MT), particularly for domain adaptation and low-resource languages. We implement…
Adam Mickiewicz University at WMT 2022: NER-Assisted and Quality-Aware Neural Machine Translation
Artur Nowakowski, Gabriela Pałka, Kamil Guttmann +1
This paper presents Adam Mickiewicz University's (AMU) submissions to the constrained track of the WMT 2022 General MT Task. We participated in the Ukrainian Czec…