ParlaMint: comparable corpora of parliamentary debates

The ParlaMint corpora is a collection of 17 comparable corpora consisting of parliamentary debates. The ParlaMint corpora include debates of 17 national parliaments: Bulgarian parliament, Belgian parliament (French and Dutch language), Czech parliament, Croatian parliament, Danish parliament, Dutch parliament, English parliament, French parliament, Hungarian parliament, Icelandic parliament, Italian parliament, Latvian parliament, Lithuanian parliament, Polish parliament, Slovenian parliament, and Spanish parliament.

The original version of corpora is created from a modified CONLL format (format representing a syntactic parse tree in a vertical format) including a specific format of word sketches generated from this format based on dependency parsing. The Sketch Engine version of corpora is processed by pipelines available for a particular language with a standard format of word sketches.

For detailed information about TenTen corpora, see the CLARIN.SI repository.

Tools to work with the ParlaMint corpora 2.1

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

  • word sketch – 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 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

The set of tools may vary depending on the particular language.

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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