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        <title>Introducing UberText 2.0: A Corpus of Modern Ukrainian at Scale</title>
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            <title>Proceedings of the Second Ukrainian Natural Language Processing Workshop (UNLP)</title>
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            <namePart type="given">Mariana</namePart>
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    <abstract>This paper addresses the need for massive corpora for a low-resource language and presents the publicly available UberText 2.0 corpus for the Ukrainian language and discusses the methodology of its construction. While the collection and maintenance of such a corpus is more of a data extraction and data engineering task, the corpus itself provides a solid foundation for natural language processing tasks. It can enable the creation of contemporary language models and word embeddings, resulting in a better performance of numerous downstream tasks for the Ukrainian language. In addition, the paper and software developed can be used as a guidance and model solution for other low-resource languages. The resulting corpus is available for download on the project page. It has 3.274 billion tokens, consists of 8.59 million texts and takes up 32 gigabytes of space.</abstract>
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    <identifier type="doi">10.18653/v1/2023.unlp-1.1</identifier>
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        <date>2023-05</date>
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%0 Conference Proceedings
%T Introducing UberText 2.0: A Corpus of Modern Ukrainian at Scale
%A Chaplynskyi, Dmytro
%Y Romanyshyn, Mariana
%S Proceedings of the Second Ukrainian Natural Language Processing Workshop (UNLP)
%D 2023
%8 May
%I Association for Computational Linguistics
%C Dubrovnik, Croatia
%F chaplynskyi-2023-introducing
%X This paper addresses the need for massive corpora for a low-resource language and presents the publicly available UberText 2.0 corpus for the Ukrainian language and discusses the methodology of its construction. While the collection and maintenance of such a corpus is more of a data extraction and data engineering task, the corpus itself provides a solid foundation for natural language processing tasks. It can enable the creation of contemporary language models and word embeddings, resulting in a better performance of numerous downstream tasks for the Ukrainian language. In addition, the paper and software developed can be used as a guidance and model solution for other low-resource languages. The resulting corpus is available for download on the project page. It has 3.274 billion tokens, consists of 8.59 million texts and takes up 32 gigabytes of space.
%R 10.18653/v1/2023.unlp-1.1
%U https://aclanthology.org/2023.unlp-1.1
%U https://doi.org/10.18653/v1/2023.unlp-1.1
%P 1-10

Markdown (Informal)

[Introducing UberText 2.0: A Corpus of Modern Ukrainian at Scale](https://aclanthology.org/2023.unlp-1.1) (Chaplynskyi, UNLP 2023)

• Introducing UberText 2.0: A Corpus of Modern Ukrainian at Scale (Chaplynskyi, UNLP 2023)

ACL

• Dmytro Chaplynskyi. 2023. Introducing UberText 2.0: A Corpus of Modern Ukrainian at Scale. In Proceedings of the Second Ukrainian Natural Language Processing Workshop (UNLP), pages 1–10, Dubrovnik, Croatia. Association for Computational Linguistics.