CzechDocs: A Multiway Parallel Dataset of Formatted Documents for Minority Languages in Czechia
arXiv:2606.20212v1 Announce Type: new Abstract: We present CzechDocs, a multiway parallel dataset of formatted documents (HTML, DOCX, and PDF) covering Czech and minority languages used in Czechia-primarily Ukrainian and English, with smaller portions of Vietnamese, Russian and other languages. The dataset is designed to support the evaluation of machine translation systems that aim to preserve document formatting during translation. We provide a comparison of the most common approaches to format-preserving machine translation on a validation subset of the dataset. This validation split, toget
The proliferation of AI-powered machine translation and large language models necessitates high-quality, formatted datasets for practical application, especially for lesser-resourced languages.
This dataset addresses a critical need for advancing machine translation capabilities while preserving document formatting, which is crucial for business, legal, governmental, and technical documentation.
The availability of 'CzechDocs' will enable more effective development and evaluation of machine translation systems for minority languages, potentially reducing linguistic barriers in multilingual contexts.
- · AI language model developers
- · Czech and Ukrainian language communities
- · Multilingual businesses and NGOs
- · Machine translation researchers
- · Translation services relying solely on human translators
Improved performance and broader adoption of machine translation tools for formatted documents in minority languages.
Reduced operational costs and increased efficiency for organizations operating in multilingual environments, fostering better cross-border communication.
Enhanced digital inclusion and preservation of minority languages by integrating them more seamlessly into modern technological workflows.
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