CUNI Systems for the WMT22 Czech-Ukrainian Translation Task
Not on the map. Why?
Abstract (arXiv)
We present Charles University submissions to the WMT22 General Translation Shared Task on Czech-Ukrainian and Ukrainian-Czech machine translation. We present two constrained submissions based on block back-translation and tagged back-translation and experiment with rule-based romanization of Ukrainian. Our results show that the romanization only has a minor effect on the translation quality. Further, we describe Charles Translator, a system that was developed in March 2022 as a response to the migration from Ukraine to the Czech Republic. Compared to our constrained systems, it did not use the romanization and used some proprietary data sources.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 11 of its 22 references that are in the map. First posted on arXiv 1 Dec 2022.
Builds on
11 of 22 references.
References · 11
- 2017Attention Is All You Needcited by 59,932
- 2018SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processingcited by 1,973
- 2021The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translationcited by 556
- 2019MASS: Masked Sequence to Sequence Pre-training for Language Generationcited by 345
- 2018Learning Word Vectors for 157 Languagescited by 279
- 2019WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipediacited by 221
- 2018Marian: Fast Neural Machine Translation in C++cited by 202
- 2018Tensor2Tensor for Neural Machine Translationcited by 85
- 2019Tagged Back-Translationcited by 76
- 2018Dual Conditional Cross-Entropy Filtering of Noisy Parallel Corporacited by 40
- 2020Announcing CzEng 2.0 Parallel Corpus with over 2 Gigawordscited by 17
Built on by
Citing papers per year: 2024: 1; 2025: 0; 2026: 1.
2 papers.