kristopherkyle / tag_fixer

This is a simple interface for manually editing POS-tagged texts

Simple part of speech tag fixer

These functions are designed to fix POS tags.

To install using pip:

pip install tag-fixer

To begin, import tag_fixer:

from tag_fixer import tag_fixer as tf

For tag_fixer(), the presumed format of the data is a list of [word,tag] or (word,tag) pairs

l = [["The","DT"],["teacher","NNP"],["is","VBZ"],["awesome","JJ"]]
fixed_list = tf.tag_fixer(l)

For tag_fixer_sents(), the presumed format of that data is a list sentences that are lists of [word,tag] pairs.

l2 = [[["The","DT"],["teacher","NNP"],["is","VBZ"],["awesome","JJ"]],[["This","DT"],["is","VBZ"],["another","JJ"]]]
fixed_sents = tf.tag_fixer_sents(l2)

Note that either function will automatically capitalize tags (so the user doesn't have to hit the [shift] key)