NLTK, the Natural Language Toolkit, is a suite of open source Python modules, data sets and tutorials supporting research and development in Natural Language Processing. It provides easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning.
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, and a cookbook.
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. NLTK has been used successfully as a teaching tool, as an individual study tool, and as a platform for prototyping and building research systems.
Key Features
- Lexical analysis: Word and text tokenizer.
- n-gram and collocations.
- Part-of-speech tagger.
- Tree model and Text chunker for capturing.
- Named-entity recognition.
Website: www.nltk.org
Support: FAQ, Google Groups, Wiki
Developer: Team NLTK
License: Apache License Version 2.0
NLTK is written in Python. Learn Python with our recommended free books and free tutorials.
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|---|---|
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| Natural Language Toolkit | Suite of open source Python modules, data sets and tutorials |
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Read our verdict in the software roundup.
| Python Natural Language Processing Tools | |
|---|---|
| PyTorch-Transformers | Library of state-of-the-art pre-trained models for NLP |
| NLTK | Natural Language Toolkit |
| spaCy | Industrial strength natural language processing |
| scikit-learn | Machine learning library |
| Gensim | Vector space modeling and topic modeling toolkit |
| flair | Simple framework for state-of-the-art NLP |
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Read our verdict in the software roundup.
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