1 citations · 2 across the 2 of their papers we have counts for
3 papers
HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models
Stephan Oepen, Nikolay Arefev, Mikko Aulamo +29
We present an ongoing initiative to provide open, very large, high-quality, and richly annotated textual datasets for almost 200 languages. At 30 trillion tokens, this is likely th…
Mitigating Language Barriers in Education: Developing Multilingual Digital Learning Materials with Machine Translation
Lucie Poláková, Martin Popel, Věra Kloudová +3
The EdUKate project combines digital education, linguistics, translation studies, and machine translation to develop multilingual learning materials for Czech primary and secondary…
Charles Translator: A Machine Translation System between Ukrainian and Czech
Martin Popel, Lucie Poláková, Michal Novák +7
We present Charles Translator, a machine translation system between Ukrainian and Czech, developed as part of a society-wide effort to mitigate the impact of the Russian-Ukrainian…