1 citations · 1 across the 10 of their papers we have counts for
13 papers
CzechDocs: A Multiway Parallel Dataset of Formatted Documents for Minority Languages in Czechia
Josef Jon, Ondřej Bojar
We present CzechDocs, a multiway parallel dataset of formatted documents (HTML, DOCX, and PDF) covering Czech and minority languages used in Czechia-primarily Ukrainian and English…
Finetuning LLMs for EvaCun 2025 token prediction shared task
Josef Jon, Ondřej Bojar
In this paper, we present our submission for the token prediction task of EvaCun 2025. Our sys-tems are based on LLMs (Command-R, Mistral, and Aya Expanse) fine-tuned on the task d…
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…
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…
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…
CUNI Submission in WMT22 General Task
Josef Jon, Martin Popel, Ondřej Bojar
We present the CUNI-Bergamot submission for the WMT22 General translation task. We compete in EnglishCzech direction. Our submission further explores block backtransla…