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Python 3 Text Processing with NLTK 3 Cookbook

You're reading from   Python 3 Text Processing with NLTK 3 Cookbook

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Product type Paperback
Published in Aug 2014
Publisher
ISBN-13 9781782167853
Length 304 pages
Edition 2nd Edition
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Author (1):
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Jacob Perkins Jacob Perkins
Author Profile Icon Jacob Perkins
Jacob Perkins
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Table of Contents (12) Chapters Close

Preface 1. Tokenizing Text and WordNet Basics FREE CHAPTER 2. Replacing and Correcting Words 3. Creating Custom Corpora 4. Part-of-speech Tagging 5. Extracting Chunks 6. Transforming Chunks and Trees 7. Text Classification 8. Distributed Processing and Handling Large Datasets 9. Parsing Specific Data Types A. Penn Treebank Part-of-speech Tags
Index

Swapping infinitive phrases


An infinitive phrase has the form A of B, such as book of recipes. These can often be transformed into a new form while retaining the same meaning, such as recipes book.

How to do it...

An infinitive phrase can be found by looking for a word tagged with IN. The swap_infinitive_phrase() function, defined in transforms.py, will return a chunk that swaps the portion of the phrase after the IN word with the portion before the IN word:

def swap_infinitive_phrase(chunk):
  def inpred(wt):
    word, tag = wt
    return tag == 'IN' and word != 'like'

  inidx = first_chunk_index(chunk, inpred)

  if inidx is None:
    return chunk

  nnidx = first_chunk_index(chunk, tag_startswith('NN'), start=inidx, step=-1) or 0
  return chunk[:nnidx] + chunk[inidx+1:] + chunk[nnidx:inidx]

The function can now be used to transform book of recipes into recipes book:

>>> from transforms import swap_infinitive_phrase
>>> swap_infinitive_phrase([('book', 'NN'), ('of', 'IN'...
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