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.

我们介绍了 Charles Translator，这是一种乌克兰和捷克之间的机器翻译系统，旨在缓解俄乌战争对个人和社会的影响。该系统直接翻译而非使用英语作为中介语，利用两种语言的结构相似性，并采用了区块反向翻译方法，从而有效利用单语训练数据。该论文描述了系统的开发过程，包括数据收集和实施，评估等，提到了几种使用案例，并概述了用于教育目的的进一步开发可能性。

Charles Translator：乌克兰语和捷克语之间的机器翻译系统

Charles Translator: A Machine Translation System between Ukrainian and  Czech

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.

我们参加了 WMT22 年度机器翻译竞赛，并基于块级反向翻译和标记反向翻译的策略提交了两种有约束的翻译。我们还尝试了基于规则的乌克兰罗马化。实验结果表明，罗马化对翻译质量的影响较小。此外，我们还描述了 Charles Translator，这是一个系统，是针对乌克兰移民前往捷克共和国而开发的，它与受限制的系统相比，不使用罗马化，并使用了一些专有数据源。