beTenTen: Corpus of the Belarusian Web

The Belarusian Web Corpus (beTenTen) is a Belarusian corpus made up of texts collected from the Internet. The corpus belongs to the TenTen corpus family which is a set of web corpora built using the same method with a target size 10+ billion words. Sketch Engine currently provides access to TenTen corpora in more than 40 languages.

Data was crawled by the SpiderLing web spider from July to August 2020 and comprised of 51 million words.

For detailed information about TenTen corpora, see Common TenTen corpora attributes.

Overview of Belarusian TenTen corpora

This is a list of Belarusian Web corpora available in Sketch Engine:

  • Belarusian Web corpus 2020 (beTenTen20) – 51 million words, genre annotation and topic classification
  • Belarusian Web corpus 2016 (beTenTen16) – 63 million words

Belarusian Web 2020 corpus sizes

Frequency
Tokens 64+ million
Words 51+ million
Sentences 3+ million
Web pages 90+ thousand

Tools to work with the Belarusian corpus

A complete set of tools is available to work with this Belarusian corpus to generate:

  • word sketch – Belarusian collocations categorized by grammatical relations
  • thesaurus – synonyms and similar words for every word
  • word lists – lists of Belarusian words organized by frequency
  • n-grams – frequency list of multi-word units
  • concordance – examples in context
  • keywords– terminology extraction of one-word units
  • text type analysis – statistics of metadata in the corpus

TenTen corpora

SUCHOMEL, Vít. Better Web Corpora For Corpus Linguistics And NLP. 2020. Available also from: https://is.muni.cz/th/u4rmz/. Doctoral thesis. Masaryk University, Faculty of Informatics, Brno. Supervised by Pavel RYCHLÝ.

Jakubíček, M., Kilgarriff, A., Kovář, V., Rychlý, P., & Suchomel, V. (2013, July). The TenTen corpus family. In 7th International Corpus Linguistics Conference CL (pp. 125-127).

Suchomel, V., & Pomikálek, J. (2012). Efficient web crawling for large text corpora. In Proceedings of the seventh Web as Corpus Workshop (WAC7) (pp. 39-43).

Genre annotation

SUCHOMEL, Vít. Genre Annotation of Web Corpora: Scheme and Issues. In Kohei Arai, Supriya Kapoor, Rahul Bhatia. Proceedings of the Future Technologies Conference (FTC) 2020, Volume 1. Vancouver, Canada: Springer Nature Switzerland AG, 2021. s. 738-754. ISBN 978-3-030-63127-7. doi:10.1007/978-3-030-63128-4_55.

Belarusian Web 2020 (betenten20)

version v1_tok3 (January 2025)

  • topic/genre classification
  • tokenization (utok)

Search the Belarusian corpus

Sketch Engine offers a range of tools to work with this Belarusian corpus from the web.

open in Sketch Engine
about Sketch Engine

Other text corpora

Sketch Engine offers 800+ language corpora.

available corpora

Use Sketch Engine in minutes

Generating collocations, frequency lists, examples in contexts, n-grams or extracting terms. Use our Quick Start Guide to learn it in minutes.

Quick Start Guide