CUNI Systems for the WMT22 Czech-Ukrainian Translation Task
Popel, Martin, Libovický, Jindřich, Helcl, Jindřich
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Dec-1-2022
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