Charles Translator: A Machine Translation System between Ukrainian and Czech

Fuente: arXiv
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Autores principales: Popel, Martin, Poláková, Lucie, Novák, Michal, Helcl, Jindřich, Libovický, Jindřich, Straňák, Pavel, Krabač, Tomáš, Hlaváčová, Jaroslava, Anisimova, Mariia, Chlaňová, Tereza
Formato: Preprint
Publicado: 2024
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author Popel, Martin
Poláková, Lucie
Novák, Michal
Helcl, Jindřich
Libovický, Jindřich
Straňák, Pavel
Krabač, Tomáš
Hlaváčová, Jaroslava
Anisimova, Mariia
Chlaňová, Tereza
author_facet Popel, Martin
Poláková, Lucie
Novák, Michal
Helcl, Jindřich
Libovický, Jindřich
Straňák, Pavel
Krabač, Tomáš
Hlaváčová, Jaroslava
Anisimova, Mariia
Chlaňová, Tereza
contents 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, compared to other available systems that use English as a pivot, and thus take 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 the further development of the system for educational purposes.
format Preprint
id arxiv_https___arxiv_org_abs_2404_06964
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Charles Translator: A Machine Translation System between Ukrainian and Czech
Popel, Martin
Poláková, Lucie
Novák, Michal
Helcl, Jindřich
Libovický, Jindřich
Straňák, Pavel
Krabač, Tomáš
Hlaváčová, Jaroslava
Anisimova, Mariia
Chlaňová, Tereza
Computation and Language
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, compared to other available systems that use English as a pivot, and thus take 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 the further development of the system for educational purposes.
title Charles Translator: A Machine Translation System between Ukrainian and Czech
topic Computation and Language
url https://arxiv.org/abs/2404.06964