MXPOST is a JAVA (JDK 1.1) implementation of the part-of-speech tagger described in:

Adwait Ratnaparkhi. A Maximum Entropy Part-Of-Speech Tagger. In Proceedings of the Empirical Methods in Natural Language Processing Conference, May 17-18, 1996. University of Pennsylvania

USERS MUST ABIDE BY THE LICENSE INCLUDED WITH THIS DISTRIBUTION.

MXPOST is copyright (c) 1997 Adwait Ratnaparkhi

To use:

1. Edit your CLASSPATH variable to include the file mxpost.jar.
2. Type:

   mxpost projectdir< wordfile

   where projectdir is a project directory, and wordfile contains one sentence per line.

   The project directory tagger.project contains a model trained from sections 0 through 18 of the Penn Treebank Wall St. Journal corpus.

   The sentences in wordfile must be tokenized according to Penn Treebank conventions, e.g., "The stock didn't rise $5." should be "The stock did n't rise $ 5 .

To train a new model:

1. Edit your CLASSPATH variable to include the directory mxpost.jar.
2. Create an empty project directory
3. Type:

   trainmxpost projectdir traindata

   where projectdir is the newly created project directory, and where traindata contains one sentence per line, where each sentence has the format:

   word1_tag1 word2_tag2 word3_tag3 ... word4_tag4