Chinese 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 98.3% accurate Chinese part-of-speech tagger trained on the sinica_treebank corpus. It requires Python & NLTK 2.0 and is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike License: http://creativecommons.org/licenses/by-nc-sa/2.5/