Where can I find all the tag definitions of POS tagging for ClassifierBasedPOSTagger in NLTK?
<p>I used the following code to train a <code>ClassifierBasedPOSTagger</code> for POS tagging:</p>

<pre><code>from nltk.classify import MaxentClassifier
from nltk.tag.sequential import ClassifierBasedPOSTagger

me_tagger = ClassifierBasedPOSTagger(train=train_sents, classifier_builder=lambda train_feats: MaxentClassifier.train(train_feats, max_iter=15))
print(me_tagger.tag('My new watch is awesome...'.split()))
</code></pre>

<p>Which prints out the following tags:</p>

<pre><code>[('My', 'PP$'), ('new', 'JJ'), ('watch', 'NN'), ('is', 'BEZ'), ('awesome...', 'AT')]
</code></pre>

<p>Where can I find the token tag definitions for this classifier? I am familiar with <a href="http://www.ling.upenn.edu/courses/Fall_2003/ling001/penn_treebank_pos.html" rel="nofollow">these</a> tokens though, but I am unable to construe <code>BEZ</code> and <code>AT</code>.</p>

<p>You can check - <a href="http://www.scs.leeds.ac.uk/amalgam/tagsets/brown.html" rel="nofollow">The Brown Corpus Tag-set</a>.</p>

<pre><code>âââââââ¦ââââââââââââââââââââââ¦âââââââââââââââââââââ
â Tag â Description         â Examples           â
â ââââââ¬ââââââââââââââââââââââ¬âââââââââââââââââââââ£
â AT  â article             â the an no a every  â
â     â                     â th' ever' ye       â
â ââââââ¬ââââââââââââââââââââââ¬âââââââââââââââââââââ£
â BEZ â verb "to be",       â is                 â
â     â present tense,      â                    â
â     â 3rd person singular â                    â
â ââââââ¬ââââââââââââââââââââââ¬âââââââââââââââââââââ£
â ... â ...                 â ...                â
âââââââ©ââââââââââââââââââââââ©âââââââââââââââââââââ
</code></pre>

python nltk