1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2025★ 1 cited
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…
cs.CL2024★ 1 cited
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…
cs.CL2023
Negative Lexical Constraints in Neural Machine Translation
Josef Jon, Dušan Variš, Michal Novák +2
This paper explores negative lexical constraining in English to Czech neural machine translation. Negative lexical constraining is used to prohibit certain words or expressions in…