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cs.CL2023
Character-level NMT and language similarity
Josef Jon, Ondřej Bojar
We explore the effectiveness of character-level neural machine translation using Transformer architecture for various levels of language similarity and size of the training dataset…
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…
cs.CL2023
Breeding Machine Translations: Evolutionary approach to survive and thrive in the world of automated evaluation
Josef Jon, Ondřej Bojar
We propose a genetic algorithm (GA) based method for modifying n-best lists produced by a machine translation (MT) system. Our method offers an innovative approach to improving MT…