2022
EMNLP
EMNLP 2022
CUNI Systems for the WMT 22 Czech-Ukrainian Translation Task
Abstract
AbstractWe present Charles University submissions to the WMT 22 GeneralTranslation 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-basedromanization of Ukrainian. Our results show that the romanization onlyhas 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 migrationfrom Ukraine to the Czech Republic. Compared to our constrained systems,it did not use the romanization and used some proprietary data sources.
🌉
Interdisciplinary Bridge
- Artificial Intelligence and Natural Language Processing