mlsanityData to 7 Oct 2026

Charles Translator: A Machine Translation System between Ukrainian and Czech

arXiv 2404.06964 ↗First posted 10 Apr 2024cs.CLcited by 2

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Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 13 of its 31 references that are in the map. First posted on arXiv 10 Apr 2024.

Builds on

13 of 31 references.

References · 13

  1. 2017Attention Is All You Needcited by 59,932
  2. 2020COMET: A Neural Framework for MT Evaluationcited by 1,024
  3. 2015Improving Neural Machine Translation Models with Monolingual Datacited by 784
  4. 2020Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillationcited by 591
  5. 2020Beyond English-Centric Multilingual Machine Translationcited by 559
  6. 2019WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipediacited by 221
  7. 2018Marian: Fast Neural Machine Translation in C++cited by 202
  8. 2019CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEBcited by 177
  9. 2019CCAligned: A Massive Collection of Cross-Lingual Web-Document Pairscited by 136
  10. 2018Dual Conditional Cross-Entropy Filtering of Noisy Parallel Corporacited by 40
  11. 2020Announcing CzEng 2.0 Parallel Corpus with over 2 Gigawordscited by 17
  12. 2021XLEnt: Mining a Large Cross-lingual Entity Dataset with Lexical-Semantic-Phonetic Word Alignmentcited by 15
1 more
  1. 2022CUNI Systems for the WMT22 Czech-Ukrainian Translation Taskcited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.