Always private
DuckDuckGo never tracks your searches.
Learn More
You can hide this reminder in Search Settings
All regions
Argentina
Australia
Austria
Belgium (fr)
Belgium (nl)
Brazil
Bulgaria
Canada (en)
Canada (fr)
Catalonia
Chile
China
Colombia
Croatia
Czech Republic
Denmark
Estonia
Finland
France
Germany
Greece
Hong Kong
Hungary
Iceland
India (en)
Indonesia (en)
Ireland
Israel (en)
Italy
Japan
Korea
Latvia
Lithuania
Malaysia (en)
Mexico
Netherlands
New Zealand
Norway
Pakistan (en)
Peru
Philippines (en)
Poland
Portugal
Romania
Russia
Saudi Arabia
Singapore
Slovakia
Slovenia
South Africa
Spain (ca)
Spain (es)
Sweden
Switzerland (de)
Switzerland (fr)
Taiwan
Thailand (en)
Turkey
Ukraine
United Kingdom
US (English)
US (Spanish)
Vietnam (en)
Safe search: moderate
Strict
Moderate
Off
Any time
Any time
Past day
Past week
Past month
Past year

Including results for nltk

Search only for "ntlk"?

  1. Natural Language Toolkit

    https://www.nltk.org

    Natural Language Toolkit¶. 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 ...
    • Installing Nltk

      If you're unsure of which datasets/models you'll need, you can install the "popular" subset of NLTK data, on the command line type python-m nltk.downloader popular, or in the Python interpreter import nltk; nltk.download('popular')

    • API

      The Natural Language Toolkit (NLTK) is an open source Python library for Natural Language Processing. A free online book is available. (If you use the library for academic research, please cite the book.) Steven Bird, Ewan Klein, and Edward Loper (2009). Natural Language Processing with Python.

    • Example Usage

      Example usage of NLTK modules¶. Sample usage for bleu; Sample usage for bnc; Sample usage for ccg; Sample usage for ccg_semantics

    • Nltk Book

      Natural Language Processing with Python--- Analyzing Text with the Natural Language Toolkit Steven Bird, Ewan Klein, and Edward Loper O'Reilly Media, 2009 | Sellers and prices

    • 1. Language Processing and Python

      Figure 1.1: Downloading the NLTK Book Collection: browse the available packages using nltk.download().The Collections tab on the downloader shows how the packages are grouped into sets, and you should select the line labeled book to obtain all data required for the examples and exercises in this book. It consists of about 30 compressed files requiring about 100Mb disk space.

    • Module Index

      a: nltk.app nltk.app.chartparser_app nltk.app.chunkparser_app nltk.app.collocations_app nltk.app.concordance_app nltk.app.nemo_app nltk.app.rdparser_app nltk.app ...

  2. NLTK source code is distributed under the Apache 2.0 License. NLTK documentation is distributed under the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 United States license. NLTK corpora are provided under the terms given in the README file for each corpus; all are redistributable and available for non-commercial use.
  3. nltk.readthedocs.io

    Natural Language Toolkit

    https://nltk.readthedocs.io

    NLTK is a free, open source, and community-driven project that provides easy-to-use interfaces to corpora, lexical resources, and text processing libraries. Learn how to use NLTK for tokenization, tagging, parsing, named entity recognition, and more with the NLTK book and documentation.
  4. geeksforgeeks.org

    May 1, 2024Natural Language Toolkit (NLTK) is one of the largest Python libraries for performing various Natural Language Processing tasks. From rudimentary tasks such as text pre-processing to tasks like vectorized representation of text - NLTK's API has covered everything. In this article, we will accustom ourselves to the basics of NLTK and perform some crucial NLP tasks: Tokenization, Stemming ...
  5. pythonmania.org

    NLTK provides methods for performing word sense disambiguation using lexical resources such as WordNet. Here's an example: from nltk.corpus import wordnet from nltk.wsd import lesk from nltk.tokenize import word_tokenize sentence = "I went to the bank to deposit my money."
  6. Can’t find what you’re looking for?

    Help us improve DuckDuckGo searches with your feedback

  1. More Images

    Natural Language Toolkit

    Suite for natural language processing (NLP)
    nltk.org

    The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing for English written in the Python programming language. It supports classification, tokenization, stemming, tagging, parsing, and semantic reasoning functionalities. It was developed by Steven Bird and Edward Loper in the Department of Computer and Information Science at the University of Pennsylvania. 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, plus 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. Wikipedia

    Original author(s)Steven Bird, Edward Loper, Ewan Klein
    Developer(s)Team NLTK
    Initial release2001
    Was this helpful?
Custom date rangeX