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NLTK: The Natural Language Toolkit

NLTK is a Python, open-source suite of modules, datasets, and tutorials for research and teaching in computational linguistics and NLP.

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NLTK: The Natural Language Toolkit

By Steven BirdAnnual Meeting of the Association for Computational Linguistics
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The Natural Language Toolkit (NLTK) is a suite of program modules, data sets, and tutorials designed to support both research and teaching in computational linguistics and natural language processing. It is implemented in Python and distributed under the GPL open-source license, making it freely available to the community. Over the year preceding the paper, the toolkit was substantially rewritten, simplifying many of its linguistic data structures and taking advantage of recent enhancements in the Python language.

The paper reports on this simplified version of the toolkit and explains how it is used in teaching NLP. By packaging reusable components alongside datasets and instructional material in an accessible language, NLTK lowered the barrier to hands-on natural language processing for students and researchers. It became one of the most widely adopted open-source platforms for NLP education and prototyping.

Abstract

The Natural Language Toolkit (NLTK) is a suite of program modules, data sets, and tutorials that support research and teaching in computational linguistics and natural language processing. Written in Python and distributed under the GPL open-source license, the toolkit was rewritten over the past year to simplify many of its linguistic data structures and to exploit recent enhancements in the Python language. This paper reports on the simplified toolkit and explains how it is used in teaching NLP.

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NLTKnatural language processingcomputational linguisticsPythonopen-source toolkitNLP teaching
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