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  2. Natural Language Toolkit - Wikipedia
Natural Language Toolkit - Wikipedia
From Wikipedia, the free encyclopedia
Software suite for natural language processing

Natural Language Toolkit
Original authorsSteven Bird, Edward Loper, Ewan Klein
DeveloperTeam NLTK
Initial release2001; 25 years ago (2001)[1]
Stable release
3.9.1[2] Edit this on Wikidata / 19 August 2024; 18 months ago (19 August 2024)
Written inPython
TypeNatural language processing
LicenseApache 2.0[3]
Websitewww.nltk.org
Repository
  • github.com/nltk/nltk Edit this at Wikidata
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 supports classification, tokenization, stemming, tagging, parsing, and semantic reasoning functionalities.[4] It was developed by Steven Bird and Edward Loper in the Department of Computer and Information Science at the University of Pennsylvania.[5] 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,[6] plus a cookbook.[7]

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.[8] NLTK has been used successfully as a teaching tool, as an individual study tool, and as a platform for prototyping and building research systems.

Library highlights

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  • 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

[edit]
  • Free and open-source software portal
  • SpaCy

References

[edit]
  1. ^ "Project site on SourceForge". 9 July 2001.
  2. ^ "Release 3.9.1". 19 August 2024. Retrieved 23 August 2024.
  3. ^ "NLTK License". NLTK Project. Retrieved 14 February 2015.
  4. ^ "NLTK Courses". Google Docs. Retrieved 15 June 2016.
  5. ^ "Preface". www.nltk.org. Retrieved 15 June 2016.
  6. ^ Bird, Steven; Klein, Ewan; Loper, Edward (2009). Natural Language Processing with Python. O'Reilly Media Inc. ISBN 978-0-596-51649-9.
  7. ^ Perkins, Jacob (2010). Python Text Processing with NLTK 2.0 Cookbook. Packt Publishing. ISBN 978-1849513609.
  8. ^ 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)
  9. ^ "NLTK :: Sample usage for drt". www.nltk.org. Retrieved 14 July 2022.

External links

[edit]
  • Official website
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Natural language processing
General terms
  • AI-complete
  • Bag-of-words
  • n-gram
    • Bigram
    • Trigram
  • Computational linguistics
  • Natural language understanding
  • Stop words
  • Text processing
Text analysis
  • Argument mining
  • Collocation extraction
  • Concept mining
  • Coreference resolution
  • Deep linguistic processing
  • Distant reading
  • Information extraction
  • Named-entity recognition
  • Ontology learning
  • Parsing
    • semantic
    • syntactic
  • Part-of-speech tagging
  • Semantic analysis
  • Semantic role labeling
  • Semantic decomposition
  • Semantic similarity
  • Sentiment analysis
  • Terminology extraction
  • Text mining
  • Textual entailment
  • Truecasing
  • Word-sense disambiguation
  • Word-sense induction
Text segmentation
  • Compound-term processing
  • Lemmatisation
  • Lexical analysis
  • Text chunking
  • Stemming
  • Sentence segmentation
  • Word segmentation
Automatic summarization
  • Multi-document summarization
  • Sentence extraction
  • Text simplification
Machine translation
  • Computer-assisted
  • Example-based
  • Rule-based
  • Statistical
  • Transfer-based
  • Neural
Distributional semantics models
  • BERT
  • Document-term matrix
  • Explicit semantic analysis
  • fastText
  • GloVe
  • Language model
    • large
    • small
  • Latent semantic analysis
  • Long short-term memory
  • Seq2seq
  • Transformer
  • Word embedding
  • Word2vec
Language resources,
datasets and corpora
Types and
standards
  • Corpus linguistics
  • Lexical resource
  • Linguistic Linked Open Data
  • Machine-readable dictionary
  • Parallel text
  • PropBank
  • Semantic network
  • Simple Knowledge Organization System
  • Speech corpus
  • Text corpus
  • Thesaurus (information retrieval)
  • Treebank
  • Universal Dependencies
Data
  • BabelNet
  • Bank of English
  • DBpedia
  • FrameNet
  • Google Ngram Viewer
  • UBY
  • WordNet
  • Wikidata
Automatic identification
and data capture
  • Speech recognition
  • Speech segmentation
  • Speech synthesis
  • Natural language generation
  • Optical character recognition
Topic model
  • Document classification
  • Latent Dirichlet allocation
  • Pachinko allocation
Computer-assisted
reviewing
  • Automated essay scoring
  • Concordancer
  • Grammar checker
  • Predictive text
  • Pronunciation assessment
  • Spell checker
Natural language
user interface
  • Chatbot
  • Interactive fiction
  • Question answering
  • Virtual assistant
  • Voice user interface
Related
  • Formal semantics
  • Hallucination
  • Natural Language Toolkit
  • spaCy


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