@inproceedings{popel-etal-2024-charles,
    title = "{C}harles Translator: A Machine Translation System between {U}krainian and {C}zech",
    author = "Popel, Martin  and
      Polakova, Lucie  and
      Nov{\'a}k, Michal  and
      Helcl, Jind{\v{r}}ich  and
      Libovick{\'y}, Jind{\v{r}}ich  and
      Stra{\v{n}}{\'a}k, Pavel  and
      Krabac, Tomas  and
      Hlavacova, Jaroslava  and
      Anisimova, Mariia  and
      Chlanova, Tereza",
    editor = "Calzolari, Nicoletta  and
      Kan, Min-Yen  and
      Hoste, Veronique  and
      Lenci, Alessandro  and
      Sakti, Sakriani  and
      Xue, Nianwen",
    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.lrec-main.271",
    pages = "3038--3045",
    abstract = "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 war on individuals and society. The system was developed in the spring of 2022 with the help of many language data providers in order to quickly meet the demand for such a service, which was not available at the time in the required quality. The translator was later implemented as an online web interface and as an Android app with speech input, both featuring Cyrillic-Latin script transliteration. The system translates directly, in comparison to other available systems that use English as a pivot, and thus makes advantage of the typological similarity of the two languages. It uses the block back-translation method which allows for efficient use of monolingual training data. The paper describes the development process including data collection and implementation, evaluation, mentions several use cases and outlines possibilities for further development of the system for educational purposes.",
}

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 war on individuals and society. The system was developed in the spring of 2022 with the help of many language data providers in order to quickly meet the demand for such a service, which was not available at the time in the required quality. The translator was later implemented as an online web interface and as an Android app with speech input, both featuring Cyrillic-Latin script transliteration. The system translates directly, in comparison to other available systems that use English as a pivot, and thus makes advantage of the typological similarity of the two languages. It uses the block back-translation method which allows for efficient use of monolingual training data. The paper describes the development process including data collection and implementation, evaluation, mentions several use cases and outlines possibilities for further development of the system for educational purposes.
Popel, Martin Polakova, Lucie Nov{\'a}k, Michal Helcl, Jind{\v{r}}ich Libovick{\'y}, Jind{\v{r}}ich Stra{\v{n}}{\'a}k, Pavel Krabac, Tomas Hlavacova, Jaroslava Anisimova, Mariia Chlanova, Tereza
Charles Translator: A Machine Translation System between Ukrainian and Czech