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NLTK requires Python versions 2.7, 3.5, 3.6, or 3.7

For Windows users, it is strongly recommended that you go through this guide to install Python 3 successfully https://docs.python-guide.org/starting/install3/win/#install3-windows

DCSUpdater.exe install (ie DCSUpdater.exe install A-10C F-86F FC3).Do Not Install Modules you do not own a License Key for, as it will ask you to activate it repeatedly.Do not use any other parameter other than install or uninstall with modules.

Setting up a Python Environment (Mac/Unix/Windows)¶

Please go through this guide to learn how to manage your virtual environment managers before you install NLTK, https://docs.python-guide.org/dev/virtualenvs/

Alternatively, you can use the Anaconda distribution installer that comes “batteries included” https://www.anaconda.com/distribution/

Mac/Unix¶

  1. Install NLTK: run pipinstall--user-Unltk

  2. Install Numpy (optional): run pipinstall--user-Unumpy

  3. Test installation: run python then type importnltk

For older versions of Python it might be necessary to install setuptools (see http://pypi.python.org/pypi/setuptools) and to install pip (sudoeasy_installpip).

Windows¶

These instructions assume that you do not already have Python installed on your machine.

32-bit binary installation¶

  1. Install Python 3.7: http://www.python.org/downloads/ (avoid the 64-bit versions)

  2. Install Numpy (optional): https://www.scipy.org/scipylib/download.html

  3. Install NLTK: http://pypi.python.org/pypi/nltk

  4. Test installation: Start>Python37, then type importnltk

Installing Third-Party Software¶

Please see: https://github.com/nltk/nltk/wiki/Installing-Third-Party-Software

Installing NLTK Data¶

After installing the NLTK package, please do install the necessary datasets/models for specific functions to work.

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’)

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For details, see http://www.nltk.org/data.html