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cs.CL2026
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…
cs.CL2026
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…