Natural Language Toolkit

Natural Language Toolkit
Original author(s)Steven Bird, Edward Loper, Ewan Klein
Developer(s)Team NLTK
Initial release2001; 21 years ago (2001)[1]
Stable release
3.6.2[2] Edit this on Wikidata / 20 April 2021; 17 months ago (20 April 2021)
Repository
  • github.com/nltk/nltk Edit this at Wikidata
Written inPython
TypeNatural language processing
LicenseApache 2.0[3]
Websitewww.nltk.org
Parse tree generated with NLTK

The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing (NLP) for English written in the Python programming language. It was developed by Steven Bird and Edward Loper in the Department of Computer and Information Science at the University of Pennsylvania.[4] NLTK includes graphical demonstrations and sample data. It is accompanied by a book that explains the underlying concepts behind the language processing tasks supported by the toolkit,[5] plus a cookbook.[6]

NLTK is intended to support research and teaching in NLP or closely related areas, including empirical linguistics, cognitive science, artificial intelligence, information retrieval, and machine learning.[7] NLTK has been used successfully as a teaching tool, as an individual study tool, and as a platform for prototyping and building research systems. There are 32 universities in the US and 25 countries using NLTK in their courses. NLTK supports classification, tokenization, stemming, tagging, parsing, and semantic reasoning functionalities.[8]

Library highlights

  • Discourse representation[9]
  • Lexical analysis: Word and text tokenizer
  • n-gram and collocations
  • Part-of-speech tagger
  • Tree model and Text chunker for capturing
  • Named-entity recognition


See also

  • Free and open-source software portal

References

  1. ^ "Project site on SourceForge". 9 July 2001.
  2. ^ "Release 3.6.2". 20 April 2021. Retrieved 10 May 2021.
  3. ^ "NLTK License". NLTK Project. Retrieved 14 February 2015.
  4. ^ "Preface". www.nltk.org. Retrieved 15 June 2016.
  5. ^ Bird, Steven; Klein, Ewan; Loper, Edward (2009). Natural Language Processing with Python. O'Reilly Media Inc. ISBN 978-0-596-51649-9.
  6. ^ Perkins, Jacob (2010). Python Text Processing with NLTK 2.0 Cookbook. Packt Publishing. ISBN 978-1849513609.
  7. ^ Bird, Steven; Klein, Ewan; Loper, Edward; Baldridge, Jason (2008). "Multidisciplinary instruction with the Natural Language Toolkit" (PDF). Proceedings of the Third Workshop on Issues in Teaching Computational Linguistics, ACL. Archived from the original (PDF) on 2 September 2011. {{cite journal}}: Cite journal requires |journal= (help)
  8. ^ "NLTK Courses". Google Docs. Retrieved 15 June 2016.
  9. ^ "NLTK :: Sample usage for drt". www.nltk.org. Retrieved 14 July 2022.

External links

  • Official website
  • v
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General termsText analysis
Text segmentation
Automatic summarizationMachine translationDistributional semantics modelsLanguage resources,
datasets and corpora
Types and
standards
Data
Automatic identification
and data captureTopic modelComputer-assisted
reviewingNatural language
user interfaceOther software
  • Natural Language Toolkit
  • spaCy
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