pnbTenTen: Corpus of the Western Punjabi Web
The Western Punjabi Web Corpus in (pnbTenTen) is a Punjabi corpus made up of texts written in the Shahmukhi script collected from the Internet. This script is used in Pakistan province Punjab. 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 pnbTenTen corpus 2017 consists of 2 million words. The texts were downloaded between April and June 2017.
Part-of-speech tagset and lemmatization
The Western Punjabi Web Corpus has not been tagged and lemmatized yet.
Search the Western Punjabi corpus pnbTenTen
Sketch Engine offers a range of tools to work with this Western Punjabi corpus.
Western Punjabi corpus sizes
| Tokens | 3,114,695 |
| Words | 2,806,904 |
| Sentences | 151,919 |
| Web pages | 5,351 |
Tools to work with the Western Punjabi corpus from the web
A complete set of Sketch Engine tools is available to work with this Western Punjabi corpus to generate:
- word sketch – word behavior and collocational candidates
- keywords – terminology extraction of one-word units
- word lists – lists of words organized by frequency
- n-grams – frequency list of multi-word units
- concordance – examples in context
- text type analysis – statistics of metadata in the corpus
Changelog
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
Bibliography
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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