ptTenTen: Corpus of the Portuguese Web

The Portuguese Web Corpus (ptTenTen) is a Portuguese language corpus made up of texts collected from the Internet. It 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. The corpora are built using technology specialized in collecting only linguistically valuable web content.

The Portuguese Web 2018 corpus contains more than 7.4 billion words (downloaded between February and April 2018) and includes both main Portuguese language varieties – European and Brazilian Portuguese.

Detailed information about TenTen corpora is on the separate page Common TenTen corpora attributes.

Basic information about Portuguese Web 2018 corpus

Tokens 8,731,838,327
Words 7,407,393,731
Sentences 357,242,825
Web pages 25,538,786

Overview of Portuguese corpora from the web

Sketch Engine offers several Portuguese Web corpora:

  • Portuguese Web 2011 (ptTenTen18) – tagged using FreeLing pipeline version 4
  • Portuguese Web 2011 (ptTenTen11) – tagged using FreeLing pipeline version 4 with orthography normalization + new word sketches by Tanara Zingano Kuhn
    • automatical detection of words in Brazilian Portuguese
    • attribute morpheme containing clitics, e.g. apresentar, se, nos for the word apresenta-se-nos
    • attribute ao containing orthographic normalization, e.g. ação for acção (acc. the Portuguese Language Orthographic Agreement)
    • lemma always corresponds to the new Portuguese orthography (2016)
  • Portuguese Web 2011 (ptTenTen11, Freeling v3) – version processed with the FreeLing tagger using the following POS tags
  • Portuguese Web 2011 (ptTenTen11, Palavras parsed) – version processed with Eckhard Bick’s PALAVRAS parser, post-processed to optimise word sketch output by Pete Whitelock and tagged with the VISL part-of-speech tagset

Tools to work with the Portuguese corpus

A complete set of Sketch Engine tools is available to work with this Portuguese corpus to generate:

  • word sketch – Portuguese 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 Portuguese 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

November 2022 – ptTenTen18

  • FreeLing pipeline version 4
  • 8.7 billion tokens
  • crawled by Spiderling in February to April 201

February 2018

  • tagged with FreeLing pipeline v4 with orthography normalization
  • improved tokenization 3,896,392,719 words
  • new word sketch grammar by Tanara Zingano Kuhn

19th December 2013

  • tagged by Freeling
  • attribute lempos added

August 2012

  • finished version – 3.2 billion tokens processed with Palavras parsing system
  • crawled by the SpiderLing web spider in March 2011 and August 2012 which yielded almost 4 billion words

24th March 2011

  • initial version – 0.9 billion tokens

ptTenTen corpus

Kilgarriff, A., Jakubíček, M., Pomikalek, J., Sardinha, T. B., & Whitelock, P. (2014). PtTenTen: a corpus for Portuguese lexicographyWorking with Portuguese Corpora, 111-30.

Word sketches by Tanara Zingano Kuhn

Kuhn, Tanara Zingano, and Iztok Kosem. “Devising a Sketch Grammar for Academic Portuguese.” Slovenščina 2.0: empirical, applied and interdisciplinary research 4.1 (2017): 124-161.

Kuhn, Tanara Zingano (2017). A Design proposal of an on-line corpus-driven dictionary of Portuguese for university students (doctoral dissertation). University of Lisbon, Lisbon, Portugal.

Portuguese word sketches of the PALAVRAS parser

Kilgarriff, A., Pomikalek, J., Jakubíček, M., & Whitelock, P. (2012). Setting up for corpus lexicographySkin1, 1-38.

TenTen corpora

SUCHOMEL, Vít. Better Web Corpora For Corpus Linguistics And NLP. 2020. Available also from: 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.

Search the Portuguese corpus

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


Positional attributes in ptTenTen

Positional attributes in ptTenTen Portuguese corpus in Sketch Engine

(1) lemma – the basic form of a word, typically the form found in dictionaries.

(2) ao – the orthographic normalization based on the Portuguese Language Orthographic Agreement, e.g. ação for acção

(3) morphemes – clitics, e.g. apresentar,se,nos for apresenta-se-nos

Other text corpora

Sketch Engine offers 700+ language corpora.

Use Sketch Engine in minutes

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