NLTK
A leading platform for building Python programs to work with human language data.

NLTK
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Home: https://www.nltk.org

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What is NLTK?

NLTK, the Natural Language Toolkit, is a prominent platform designed for developing Python applications that process human language data. It provides accessible interfaces to numerous corpora and lexical resources, including WordNet. The toolkit features a collection of text processing libraries enabling tasks such as classification, tokenization, stemming, tagging, parsing, and semantic reasoning.

Additionally, NLTK includes wrappers for robust, industrial-strength NLP libraries. Accompanied by a practical guide that introduces programming concepts alongside computational linguistics topics and extensive API documentation, NLTK serves a diverse audience, including linguists, engineers, students, educators, researchers, and industry professionals. It is a free, open-source, community-driven project available for Windows, Mac OS X, and Linux.

Features

  • Text Processing Libraries: Includes tools for classification, tokenization, stemming, tagging, parsing, and semantic reasoning.
  • Corpora and Lexical Resources Access: Easy-to-use interfaces to over 50 corpora and lexical resources like WordNet.
  • Python Integration: Designed specifically for building Python programs for NLP tasks.
  • Cross-Platform Compatibility: Available for Windows, Mac OS X, and Linux.
  • Open Source: Free, community-driven project.
  • Educational Resources: Accompanied by a book ('Natural Language Processing with Python') and comprehensive API documentation.

Use Cases

  • Developing NLP applications in Python.
  • Teaching and learning computational linguistics.
  • Researching human language data.
  • Tokenizing and tagging text data.
  • Parsing linguistic structure.
  • Performing semantic reasoning on text.
  • Accessing linguistic corpora and lexical resources.

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