Fast Treebank Part-of-Speech Tagger for Python NLTK

Overview

This data download is a pre-trained model for a Bayesian classifier. If you do not have experience with Python NLTK, you may not be interested in this data set.

A 99.3% accurate part-of-speech tagger trained on the treebank corpus. It is many times faster than the default NLTK tagger and is a fraction of the size (which means less loading time and lower memory requirements). It requires Python & NLTK 2.0 and is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License: http://creativecommons.org/licenses/by-nc-sa/3.0/.