Building a conda package for NLTK

The Natural Language Toolkit (NLTK) is a platform used for building Python programs that apply statistical natural language processing (NLP) to human language data. It can be difficult to install, but is easy when you build this NLTK conda package.

This package also includes all of the NLTK data sets, approximately 8 GB of data.

Download the following files: (click the Download ZIP button on the top right).

Unzip the downloaded file and rename the downloaded directory to /nltk-with-data/.

If not already installed, install conda build:

conda install conda-build

Change directory to one directory above the nltk-with-data directory with cd.

Run conda build for different Python versions that you need, selecting the packages for the platform and OS you are running the command on:

conda build nltk-with-data --python 2.7
conda build nltk-with-data --python 3.4
conda build nltk-with-data --python 3.5
conda build nltk-with-data --python 3.6

The resulting conda packages will be located in $CONDA_ROOT/conda-bld/$ARCH/nltk-with-data.tar.bz2, where $CONDA_ROOT is the root of your Anaconda installation and $ARCH is the architecture that you built the packages on.

Upload the resulting conda packages to your local repository or to Anaconda Cloud using the Anaconda Notebook Extension anaconda-client CLI:

anaconda upload $CONDA_ROOT/conda-bld/$ARCH/nltk-with-data.tar.bz2
anaconda upload $CONDA_ROOT/conda-bld/$ARCH/nltk-with-data.tar.bz2
anaconda upload $CONDA_ROOT/conda-bld/$ARCH/nltk-with-data.tar.bz2
anaconda upload $CONDA_ROOT/conda-bld/$ARCH/nltk-with-data.tar.bz2

OPTIONAL: Build the conda package for other platforms (Win, Mac, Linux) by repeating the above steps on those platforms. You may instead use conda convert for pure Python packages. When newer versions of NLTK are released, you can also update the recipe and repeat this process.

Install from conda

conda install nltk-with-data
import nltk.corpus

You’ll see that the data is loaded using this conda package.

After you conda install the packages, use the library as usual with all of the data sets.

SEE ALSO: NLTK documentation