# nltk-trainer

**Repository Path**: mirrors_svenanders/nltk-trainer

## Basic Information

- **Project Name**: nltk-trainer
- **Description**: Train NLTK objects with zero code
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-08-18
- **Last Updated**: 2026-03-29

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

NLTK Trainer
------------

NLTK Trainer exists to make training and evaluating NLTK objects as easy as possible.


Requirements
------------

You must have Python >=2.6 (but not 3.x) with `argparse <http://pypi.python.org/pypi/argparse/>`_ and `NLTK <http://www.nltk.org/>`_ 2.0 installed. `NumPy <http://numpy.scipy.org/>`_, `SciPy <http://www.scipy.org/>`_, and `megam <http://www.cs.utah.edu/~hal/megam/>`_ are recommended for training Maxent classifiers. To use the sklearn classifiers, you must also install `scikit-learn <http://scikit-learn.org/stable/>`_.

If you want to use any of the corpora that come with NLTK, you should `install the NLTK data <http://nltk.org/data.html>`_.


Documentation
-------------

Documentation can be found at `nltk-trainer.readthedocs.org <http://nltk-trainer.readthedocs.org/en/latest/>`_ (you can also find these documents in the `docs directory <https://github.com/japerk/nltk-trainer/tree/master/docs>`_. Every script also provides a ``--help`` option that describes all available parameters.