Natural Language Toolkit
Software suite for natural language processing
| Original author(s) | Steven Bird, Edward Loper, Ewan Klein |
|---|---|
| Developer(s) | Team NLTK |
| Initial release | 2001; 23 years ago (2001)[1] |
| Stable release | |
| Repository |
|
| Written in | Python |
| Type | Natural language processing |
| License | Apache 2.0[3] |
| Website | www |
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. There are 32 universities in the US and 25 countries using NLTK in their courses.
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
- ^ "Project site on SourceForge". 9 July 2001.
- ^ "Release 3.8.1". 2 January 2023. Retrieved 27 April 2023.
- ^ "NLTK License". NLTK Project. Retrieved 14 February 2015.
- ^ "NLTK Courses". Google Docs. Retrieved 15 June 2016.
- ^ "Preface". www.nltk.org. Retrieved 15 June 2016.
- ^ Bird, Steven; Klein, Ewan; Loper, Edward (2009). Natural Language Processing with Python. O'Reilly Media Inc. ISBN 978-0-596-51649-9.
- ^ Perkins, Jacob (2010). Python Text Processing with NLTK 2.0 Cookbook. Packt Publishing. ISBN 978-1849513609.
- ^ 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) - ^ "NLTK :: Sample usage for drt". www.nltk.org. Retrieved 14 July 2022.
External links
- Official website
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- Argument mining
- Collocation extraction
- Concept mining
- Coreference resolution
- Deep linguistic processing
- Distant reading
- Information extraction
- Named-entity recognition
- Ontology learning
- Parsing
- Semantic parsing
- Syntactic parsing
- Part-of-speech tagging
- Semantic analysis
- Semantic role labeling
- Semantic decomposition
- Semantic similarity
- Sentiment analysis
| Text segmentation |
|---|
datasets and corpora
| Types and standards | |
|---|---|
| Data |
and data capture
reviewing
user interface
- Formal semantics
- Hallucination
- Natural Language Toolkit
- spaCy
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