enTenTen: Corpus of the English Web

The English Web Corpus (enTenTen) is an English corpus made up of texts collected from the Internet. The corpus belongs to the TenTen corpus family. Sketch Engine currently provides access to TenTen corpora in more than 40 languages. The corpora are built using technology specialized in collecting only linguistically valuable web content.

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

The most recent version of the enTenTen corpus consists of 36 billion words. The texts were downloaded between 2019 and 2021. The sample texts of the biggest web domains which account for 40% of all corpus texts were checked manually and content with poor quality text and spam was removed.

Part-of-speech tagset

The enTenTen English corpora were tagged by the TreeTagger tool with the following versions of part-of-speech tagsets:

Search the English corpus enTenTen

Sketch Engine offers a range of tools to work with this English corpus.

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Genre annotation and topic classification

The English Web 2020 corpus contains genre annotation and topic classification that can be displayed as corpus structures. Genres refer to writing styles and are divided into four groups (blog, discussion, legal, news) whereas topic classification is inspired by categories used by https://curlie.org/ (formerly dmoz.org) and includes the following topics: arts, business, games, health, home, recreation, reference, science, sport, society, and technology.

Topic classification

Overview of English TenTen corpora

These web corpora were crawled and processed repeatedly during the years:

  • English Web corpus 2020 (enTenTen20) – 36 billion words, genre annotation and topic classification
    • English Web corpus 2020 (enTenTen20, without genres and topics) – 38 billion words
  • English Web corpus 2018 (enTenTen18) – 21.9 billion words
  • English Web corpus 2015 (enTenTen15) – 13 billion words (topic classification)
  • English Web corpus 2013 (enTenTen13) – 19 billion words
  • English Web corpus 2012 (enTenTen12) – 11 billion words
  • English Web corpus 2008 (enTenTen08) – 2.7 billion words

enTenTen20 corpus in detail

The chart shows the distribution of the most frequent top-level domains and selected domains of the states where English is the official language. The percentage is based on token coverage.

Basic information

Frequency
Tokens 43,125,207,462
Words 36,561,273,153
Sentences 2,008,143,278
Web pages 78,373,887

Preloaded subcorpora

A list of preloaded subcorpora (based on the top-level domains or genre annotation and topic classification) that are available in the English Web 2020 corpus.

Subcorpus Tokens % of the whole corpus
Australian domain .au 1,257,674,734 2.916
Canadian domain .ca 827,228,965 1.918
EU domain .eu 122,483 0.00
English Wikipedia 2,934,070,827 6.804
Genre Blog 278,159,566 0.645
Genre Discussion 312,926,515 0.726
Genre Legal 98,166,204 0.228
Genre News 1,560,229,567 3.618
Irish domain .ie 195,201,982 0.453
New Zealand domain .nz 288,926,496 0.67
Topic Arts 2,406,200,277 5.58
Topic Business 1,319,517,349 3.06
Topic Games 375,435,903 0.871
Topic Health 785,839,111 1.822
Topic Home 767,529,585 1.78
Topic Recreation 504,140,581 1.169
Topic Reference 5,718,808,057 13.261
Topic Science 915,297,931 2.122
Topic Society 2,447,004,798 5.674
Topic Sports 1,034,647,808 2.399
Topic Technology 1,566,713,474 3.633
UK domain .uk 3,420,336,927 7.931
US domain .us 382,681,188 0.887

Tools to work with the English corpora from the web

A complete set of Sketch Engine tools is available to work with these English corpora to generate:

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

English Web 2020 (enTenTen20)

version ententen20_tt31_1 (April 2022)

  • 36.5 billion words
  • TreeTagger pipeline version 3.1
  • further cleaning and spam removing
  • genre annotation and topic classification

version ententen20_tt31 (April 2021)

  • 38 billion words (downloaded by SpiderLing in Nov & Dec 2019, Nov & Dec 2020 and Jan 2021)
  • TreeTagger pipeline version 3.1
  • samples from the biggest web domains were manually checked and content with poor linguistic quality was removed.

English Web 2018 (enTenTen18)

version enTenTen18_tt31 (February 2021)

  • 21.9 billion words (Oct & Nov 2018; Jan, Nov & Dec 2017; Nov & Dec 2016; mainly from 2018)
  • TreeTagger pipeline version 3.1
  • manually checking of biggest web domains (account for 70% of all texts) and content with poor linguistic quality was removed.

English Web 2015 (enTenTen15)

  • initial size 28 billion words

version 2 (spring 2017)

  • 15 billion words
  • TreeTagger pipeline version 2

version enTenTen15_tt31 (March 2020)

  • 13 billion words
  • TreeTagger pipeline version 3.1
  • topic classification (according to dmoz.org)
  • depth analysis of spam and its removal including too short documents

English Web 2013 (enTenTen13)

version ententen13_tt2 (2014)

  • 19 billion words
  • TreeTagger pipeline version 2

version ententen13_tt2_1 (fall 2016)

  • new version of word sketch grammar
  • dynamic attribute doc.website instead of doc.t2ld

English Web 2012 (enTenTen12)

version ententen12_sample40M (14 June 2012)

  • sample of corpus – 3.7 billion words
  • crawled by SpiderLing in May 2012
  • encoded in UTF-8

version ententen12_1 (2012)

  • full corpus – 11 billion words

English Web 2008 (enTenTen08)

version 1 (15 November 2010)

  • initial version – 3.3 billion tokens
  • crawled by Heritrix in 2008
  • encoded in Latin1

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.

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