4 papers
ForMaT: Dataset for Visually-Grounded Multilingual PDF Translation
MichaÅ CiesióÅka, Dawid WiÅniewski, 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…
Beyond Semantics: Measuring Fine-Grained Emotion Preservation in Small Language Model-Based Machine Translation
Dawid Wisniewski, Igor Czudy
Preserving affective nuance remains a challenge in Machine Translation (MT), where semantic equivalence often takes precedence over emotional fidelity. This paper evaluates the per…
Do Not Change Me: On Transferring Entities Without Modification in Neural Machine Translation -- a Multilingual Perspective
Dawid Wisniewski, Mikolaj Pokrywka, Zofia Rostek
Current machine translation models provide us with high-quality outputs in most scenarios. However, they still face some specific problems, such as detecting which entities should…
Exploring the Feasibility of Multilingual Grammatical Error Correction with a Single LLM up to 9B parameters: A Comparative Study of 17 Models
Dawid Wisniewski, Antoni Solarski, Artur Nowakowski
Recent language models can successfully solve various language-related tasks, and many understand inputs stated in different languages. In this paper, we explore the performance of…