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NLTK is a leading platform for building Python programs to work with human language data. 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, wrappers for industrial-strength NLP libraries, and an active discussion forum.
NLTK is suitable for linguists, engineers, students, educators, researchers, and industry users alike. NLTK is available for Windows, Mac OS X, and Linux. Best of all, NLTK is a free, open source, community-driven project.
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NLTK is a leading platform for building Python programs to work with human language data. 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, wrappers for industrial-strength NLP libraries, and an active discussion forum.
Thanks to a hands-on guide introducing programming fundamentals alongside topics in computational linguistics, plus comprehensive API documentation, NLTK is suitable for linguists, engineers, students, educators, researchers, and industry users alike. NLTK is available for Windows, Mac OS X, and Linux. Best of all, NLTK is a free, open source, community-driven project. NLTK has been called “a wonderful tool for teaching, and working in, computational linguistics using Python,” and “an amazing library to play with natural language.”
Natural Language Processing with Python provides a practical introduction to programming for language processing. Written by the creators of NLTK, it guides the reader through the fundamentals of writing Python programs, working with corpora, categorizing text, analyzing linguistic structure, and more.
The book is being updated for Python 3 and NLTK 3. Natural Language Toolkit is also compatible with Mac, Linux and Windows and is both easy to install and easy to use. NLTK is open source software.
The source code is distributed under the terms of the Apache License Version 2.0. The documentation is distributed under the terms of the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 United States license. The corpora are distributed under various licenses, as documented in their respective README files.
ADDITIONAL INFORMATION The natural Language Toolkit provides an excellent platform for users to build Python programs that work with human language. The Natural Language Toolkit provides an easy to use interface for over lexical and Corpora resources. With the easy to use interface, the Natural Language Toolkit enables users to classify text processing libraries, stemming, tagging, tokenization, semantic reason and parsing. The fundamental features of programming alongside with computational linguistics and comprehensive API documentation makes the Natural Language Toolkit good for students, linguistics, engineers, researchers and educators. The Natural Language Toolkit enables users to use Windows applications as it can support several Windows platforms such as Linux. The Natural Language Toolkit uses Python in natural language processing. This provides users with an introduction to practical language processing programming. This is also achieved by the Natural Language Toolkit guiding the reader through the requirements of writing programs using Python, text categorization, linguistic structure analyzation, working with Corpora and many more. The Natural Language Toolkit has been termed as a community driven project, this is because it’s open source and free.
Classify text processing libraries
Medium (50 to 1000)
IT Support
Education
ADDITIONAL INFORMATION
The natural Language Toolkit provides an excellent platform for users to build Python programs that work with human language. The Natural Language Toolkit provides an easy to use interface for over lexical and Corpora resources. With the easy to use interface, the Natural Language Toolkit enables users to classify text processing libraries, stemming, tagging, tokenization, semantic reason and parsing. The fundamental features of programming alongside with computational linguistics and comprehensive API documentation makes the Natural Language Toolkit good for students, linguistics, engineers, researchers and educators. The Natural Language Toolkit enables users to use Windows applications as it can support several Windows platforms such as Linux. The Natural Language Toolkit uses Python in natural language processing. This provides users with an introduction to practical language processing programming. This is also achieved by the Natural Language Toolkit guiding the reader through the requirements of writing programs using Python, text categorization, linguistic structure analyzation, working with Corpora and many more. The Natural Language Toolkit has been termed as a community driven project, this is because it’s open source and free.