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How To Install Htk Toolkit On Windows

How To Install Htk Toolkit On Windows Average ratng: 4,2/5 4673 reviews

NLTK requires Python versions 3.5, 3.6, 3.7, or 3.8

Apr 03, 2014  Specs: Windows 8 I need to install HTK in my windows 8 64 bit to work with Visual Studio 12. I have tried to install it by updating system environmental variables.

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

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 3.8: 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>Python38, 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’)

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

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Update: 2019-10-03

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