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HandWiki. List of Text Corpora. Encyclopedia. Available online: https://encyclopedia.pub/entry/27823 (accessed on 18 September 2026).
HandWiki. List of Text Corpora. Encyclopedia. Available at: https://encyclopedia.pub/entry/27823. Accessed September 18, 2026.
HandWiki. "List of Text Corpora" Encyclopedia, https://encyclopedia.pub/entry/27823 (accessed September 18, 2026).
HandWiki. (2022, September 28). List of Text Corpora. In Encyclopedia. https://encyclopedia.pub/entry/27823
HandWiki. "List of Text Corpora." Encyclopedia. Web. 28 September, 2022.
List of Text Corpora
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The content is sourced from: https://handwiki.org/wiki/Social:List_of_text_corpora

Text corpora (singular: text corpus) are large and structured sets of texts, which have been systematically collected. Text corpora are used by corpus linguists and within other branches of linguistics for statistical analysis, hypothesis testing, finding patterns of language use, investigating language change and variation, and teaching language proficiency.

language change corpus linguistics

References

  1. "Corpus Resource Database (CoRD)". Department of English, University of Helsinki. http://www.helsinki.fi/varieng/CoRD/corpora/. 
  2. Professor Mark Davies at BYU created an online tool to search Google's English language corpus, drawn from Google Books, at http://googlebooks.byu.edu/x.asp.
  3. "PhraseFinder". http://phrasefinder.io/.  A search engine for the Google Books Ngram Corpus that supports wildcard queries and offers an API.
  4. (in Spanish) "Molinolabs - corpus". molinolabs.com. http://www.molinolabs.com/corpus.html. 
  5. "CorALit – CorALit - Lietuvių mokslo kalbos tekstynas". coralit.lt. http://coralit.lt/en/node/18. 
  6. "Turkish National Corpus - Türkçe Ulusal Derlemi - Homepage". tnc.org.tr. http://www.tnc.org.tr. 
  7. Glazkova, A (2020). "Topical Classification of Text Fragments Accounting for Their Nearest Context". Automation and Remote Control 81 (12): 2262–2276. doi:10.1134/S0005117920120097. https://www.researchgate.net/publication/348432654. 
  8. Rubtsova, Yu (2015). "Constructing a corpus for sentiment classification training". Software & Systems 1: 72–78. doi:10.15827/0236-235X.109.072-078. http://www.swsys.ru/index.php?page=article&id=3962&lang=&lang=en. 
  9. "Under Update". search.dcl.bas.bg. http://search.dcl.bas.bg. 
  10. "Електронски корупус на македонски книжевни текстови". http://drmj.manu.edu.mk/%d0%b5%d0%bb%d0%b5%d0%ba%d1%82%d1%80%d0%be%d0%bd%d1%81%d0%ba%d0%b8-%d0%ba%d0%be%d1%80%d0%bf%d1%83%d1%81-%d0%bd%d0%b0-%d0%bc%d0%b0%d0%ba%d0%b5%d0%b4%d0%be%d0%bd%d1%81%d0%ba%d0%b8-%d0%ba%d0%bd%d0%b8/. 
  11. "Portál | Český národní korpus". http://korpus.cz/. 
  12. Zdravkova, Katrina; Tufiş, Dan; Simov, Kiril; Radziszewski, Adam; Qasemizadeh, Behrang; Priest-Dorman, Greg; Petkevič, Vladimír; Oravecz, Csaba et al. (2010-05-14). "Available from CLARIN". http://nl.ijs.si/me/v4/. https://www.clarin.si/repository/xmlui/handle/11356/1043. 
  13. "University of Tehran NLP Lab". ece.ut.ac.ir. http://ece.ut.ac.ir/nlp/. 
  14. Hadi Veisi, Mohammad MohammadAmini, Hawre Hosseini; Toward Kurdish language processing: Experiments in collecting and processing the AsoSoft text corpus, Digital Scholarship in the Humanities, fqy074, https://doi.org/10.1093/llc/fqy074
  15. "KOTONOHA「現代日本語書き言葉均衡コーパス」 少納言". kotonoha.gr.jp. http://www.kotonoha.gr.jp/shonagon/. 
  16. D. Upeksha, C. Wijayarathna, M. Siriwardena, L. Lasandun, C. Wimalasuriya, N. de Silva, and G. Dias . 2015. Implementing a Corpus for Sinhala Language. In Symposium on Language Technology for South Asia. https://www.researchgate.net/publication/306264442_Implementing_a_Corpus_for_Sinhala_Language
  17. Pan, Jun (2019). "The Chinese/English Political Interpreting Corpus (CEPIC). Hong Kong Baptist University Library". https://digital.lib.hkbu.edu.hk/cepic/. 
  18. Pan, Jun (2019-10-30). "The Chinese/English Political Interpreting Corpus (CEPIC): A New Electronic Resource for Translators and Interpreters". Proceedings of the Second Workshop Human-Informed Translation and Interpreting Technology associated with RANLP 2019 (Incoma Ltd., Shoumen, Bulgaria). doi:10.26615/issn.2683-0078.2019_010. http://dx.doi.org/10.26615/issn.2683-0078.2019_010. 
  19. "EUR-Lex Corpus". sketchengine.co.uk. 2 June 2016. https://www.sketchengine.co.uk/eurlex-corpus/. 
  20. "OPUS - an open source parallel corpus". opus.lingfil.uu.se. http://opus.lingfil.uu.se/. 
  21. "Tatoeba - Number of sentences per language". tatoeba.org. http://tatoeba.org/eng/stats/sentences_by_language. 
  22. Liling Tan and Francis Bond (14 May 2012). "Building and Annotating the Linguistically Diverse NTU-MC (NTU — Multilingual Corpus)". International Journal of Asian Language Processing 22 (4): 161–174. http://www.colips.org/journal/volume22/22.4.2.NTU-MC%20Tan%20final.pdf. Retrieved 12 January 2014. 
  23. Guy Emerson, Liling Tan, Susanne Fertmann, Alexis Palmer and Michaela Regneri . 2014. SeedLing: Building and using a seed corpus for the Human Language Project. In Proceedings of the use of Computational methods in the study of Endangered Languages (ComputEL) Workshop. Baltimore, USA. http://anthology.aclweb.org/W/W14/W14-22.pdf#page=87
  24. H. Sanjurjo-González and M. Izquierdo. 2019. P-ACTRES 2.0: A parallel corpus for cross-linguistic research. In Parallel Corpora for Contrastive and Translation Studies: New resources and applications (pp. 215-231). John Benjamins Publishing. https://benjamins.com/catalog/scl.90.13san
  25. Liling Tan, Marcos Zampieri, Nikola Ljubešic, and Jörg Tiedemann. Merging comparable data sources for the discrimination of similar languages: The DSL corpus collection. In Proceedings of the 7th Workshop on Building and Using Comparable Corpora (BUCC). 2014. http://comparable.limsi.fr/bucc2014/4.pdf
  26. Kilgarriff, Adam (2012). "Getting to Know Your Corpus". Text, Speech and Dialogue. Lecture Notes in Computer Science. 7499. pp. 3–15. doi:10.1007/978-3-642-32790-2_1. ISBN 978-3-642-32789-6.  https://dx.doi.org/10.1007%2F978-3-642-32790-2_1
  27. Belinkov, Y., Habash, N., Kilgarriff, A., Ordan, N., Roth, R., & Suchomel, V. (2013). arTen-Ten: a new, vast corpus for Arabic. Proceedings of WACL. https://www.sketchengine.co.uk/wp-content/uploads/arTenTen_corpus_for_Arabic_2013.pdf
  28. Kilgarriff, A., & Renau, I. (2013). esTenTen, a vast web corpus of Peninsular and American Spanish. Procedia - Social and Behavioral Sciences, 95, 12-19. https://www.sketchengine.co.uk/wp-content/uploads/esTenTen_web_corpus_of_Peninsular_and_American_Spanish_2013.pdf
  29. Хохлова, М. В. (2016). Обзор больших русскоязычных корпусов текстов. In Материалы научной конференции" Интернет и современное общество" (pp. 74-77). http://openbooks.ifmo.ru/ru/file/4106/4106.pdf
  30. Khokhlova, M. (2016). Comparison of High-Frequency Nouns from the Perspective of Large Corpora. RASLAN 2016 Recent Advances in Slavonic Natural Language Processing, 9. https://nlp.fi.muni.cz/raslan/raslan16.pdf#page=17
  31. Trampuš, M., & Novak, B. (2012, October). Internals of an aggregated web news feed. In Proceedings of the Fifteenth International Information Science Conference IS SiKDD 2012 (pp. 431-434) http://ailab.ijs.si/dunja/SiKDD2012/Papers/Trampus_Newsfeed.pdf
  32. "Cambridge English Corpus" (in en), Wikipedia, 2019-09-27, https://en.wikipedia.org/w/index.php?title=Cambridge_English_Corpus&oldid=918173927, retrieved 2020-01-07 
  33. "CAWSE Corpus - The University of Nottingham Ningbo China - 宁波诺丁汉大学". https://www.nottingham.edu.cn/en/education-and-english/research/cawse/cawse-corpus.aspx. 
  34. "English as a Lingua Franca in Academic Settings" (in en). 2018-03-23. https://www.helsinki.fi/en/researchgroups/english-as-a-lingua-franca-in-academic-settings. 
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  37. "ICLE" (in en). https://uclouvain.be/en/research-institutes/ilc/cecl/icle.html. 
  38. "LINDSEI" (in fr). https://uclouvain.be/fr/node/11968. 
  39. "Trinity Lancaster Corpus | ESRC Centre for Corpus Approaches to Social Science (CASS)" (in en-US). http://cass.lancs.ac.uk/trinity-lancaster-corpus/. 
  40. Gablasova, D (2019). "The Trinity Lancaster Corpus: Development, Description and Application.". International Journal of Learner Corpus Research 5 (2): 126–158. doi:10.1075/ijlcr.19001.gab.  https://dx.doi.org/10.1075%2Fijlcr.19001.gab
  41. Juffs, A., Han, N-R., & Naismith, B. (2020). The University of Pittsburgh English Language Corpus (PELIC) [Data set]. http://doi.org/10.5281/zenodo.3991977
  42. "Project". https://www.univie.ac.at/voice/page/index.php. 
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