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    <p>Here's my own practical example for the benefit of anyone else looking this question up (excuse the sample text, it was the first thing I found on <a href="http://en.wikipedia.org/wiki/Mr_Blobby" rel="noreferrer">Wikipedia</a>):</p> <pre><code>import nltk import pprint tokenizer = None tagger = None def init_nltk(): global tokenizer global tagger tokenizer = nltk.tokenize.RegexpTokenizer(r'\w+|[^\w\s]+') tagger = nltk.UnigramTagger(nltk.corpus.brown.tagged_sents()) def tag(text): global tokenizer global tagger if not tokenizer: init_nltk() tokenized = tokenizer.tokenize(text) tagged = tagger.tag(tokenized) tagged.sort(lambda x,y:cmp(x[1],y[1])) return tagged def main(): text = """Mr Blobby is a fictional character who featured on Noel Edmonds' Saturday night entertainment show Noel's House Party, which was often a ratings winner in the 1990s. Mr Blobby also appeared on the Jamie Rose show of 1997. He was designed as an outrageously over the top parody of a one-dimensional, mute novelty character, which ironically made him distinctive, absurd and popular. He was a large pink humanoid, covered with yellow spots, sporting a permanent toothy grin and jiggling eyes. He communicated by saying the word "blobby" in an electronically-altered voice, expressing his moods through tone of voice and repetition. There was a Mrs. Blobby, seen briefly in the video, and sold as a doll. However Mr Blobby actually started out as part of the 'Gotcha' feature during the show's second series (originally called 'Gotcha Oscars' until the threat of legal action from the Academy of Motion Picture Arts and Sciences[citation needed]), in which celebrities were caught out in a Candid Camera style prank. Celebrities such as dancer Wayne Sleep and rugby union player Will Carling would be enticed to take part in a fictitious children's programme based around their profession. Mr Blobby would clumsily take part in the activity, knocking over the set, causing mayhem and saying "blobby blobby blobby", until finally when the prank was revealed, the Blobby costume would be opened - revealing Noel inside. This was all the more surprising for the "victim" as during rehearsals Blobby would be played by an actor wearing only the arms and legs of the costume and speaking in a normal manner.[citation needed]""" tagged = tag(text) l = list(set(tagged)) l.sort(lambda x,y:cmp(x[1],y[1])) pprint.pprint(l) if __name__ == '__main__': main() </code></pre> <p>Output:</p> <pre><code>[('rugby', None), ('Oscars', None), ('1990s', None), ('",', None), ('Candid', None), ('"', None), ('blobby', None), ('Edmonds', None), ('Mr', None), ('outrageously', None), ('.[', None), ('toothy', None), ('Celebrities', None), ('Gotcha', None), (']),', None), ('Jamie', None), ('humanoid', None), ('Blobby', None), ('Carling', None), ('enticed', None), ('programme', None), ('1997', None), ('s', None), ("'", "'"), ('[', '('), ('(', '('), (']', ')'), (',', ','), ('.', '.'), ('all', 'ABN'), ('the', 'AT'), ('an', 'AT'), ('a', 'AT'), ('be', 'BE'), ('were', 'BED'), ('was', 'BEDZ'), ('is', 'BEZ'), ('and', 'CC'), ('one', 'CD'), ('until', 'CS'), ('as', 'CS'), ('This', 'DT'), ('There', 'EX'), ('of', 'IN'), ('inside', 'IN'), ('from', 'IN'), ('around', 'IN'), ('with', 'IN'), ('through', 'IN'), ('-', 'IN'), ('on', 'IN'), ('in', 'IN'), ('by', 'IN'), ('during', 'IN'), ('over', 'IN'), ('for', 'IN'), ('distinctive', 'JJ'), ('permanent', 'JJ'), ('mute', 'JJ'), ('popular', 'JJ'), ('such', 'JJ'), ('fictional', 'JJ'), ('yellow', 'JJ'), ('pink', 'JJ'), ('fictitious', 'JJ'), ('normal', 'JJ'), ('dimensional', 'JJ'), ('legal', 'JJ'), ('large', 'JJ'), ('surprising', 'JJ'), ('absurd', 'JJ'), ('Will', 'MD'), ('would', 'MD'), ('style', 'NN'), ('threat', 'NN'), ('novelty', 'NN'), ('union', 'NN'), ('prank', 'NN'), ('winner', 'NN'), ('parody', 'NN'), ('player', 'NN'), ('actor', 'NN'), ('character', 'NN'), ('victim', 'NN'), ('costume', 'NN'), ('action', 'NN'), ('activity', 'NN'), ('dancer', 'NN'), ('grin', 'NN'), ('doll', 'NN'), ('top', 'NN'), ('mayhem', 'NN'), ('citation', 'NN'), ('part', 'NN'), ('repetition', 'NN'), ('manner', 'NN'), ('tone', 'NN'), ('Picture', 'NN'), ('entertainment', 'NN'), ('night', 'NN'), ('series', 'NN'), ('voice', 'NN'), ('Mrs', 'NN'), ('video', 'NN'), ('Motion', 'NN'), ('profession', 'NN'), ('feature', 'NN'), ('word', 'NN'), ('Academy', 'NN-TL'), ('Camera', 'NN-TL'), ('Party', 'NN-TL'), ('House', 'NN-TL'), ('eyes', 'NNS'), ('spots', 'NNS'), ('rehearsals', 'NNS'), ('ratings', 'NNS'), ('arms', 'NNS'), ('celebrities', 'NNS'), ('children', 'NNS'), ('moods', 'NNS'), ('legs', 'NNS'), ('Sciences', 'NNS-TL'), ('Arts', 'NNS-TL'), ('Wayne', 'NP'), ('Rose', 'NP'), ('Noel', 'NP'), ('Saturday', 'NR'), ('second', 'OD'), ('his', 'PP$'), ('their', 'PP$'), ('him', 'PPO'), ('He', 'PPS'), ('more', 'QL'), ('However', 'RB'), ('actually', 'RB'), ('also', 'RB'), ('clumsily', 'RB'), ('originally', 'RB'), ('only', 'RB'), ('often', 'RB'), ('ironically', 'RB'), ('briefly', 'RB'), ('finally', 'RB'), ('electronically', 'RB-HL'), ('out', 'RP'), ('to', 'TO'), ('show', 'VB'), ('Sleep', 'VB'), ('take', 'VB'), ('opened', 'VBD'), ('played', 'VBD'), ('caught', 'VBD'), ('appeared', 'VBD'), ('revealed', 'VBD'), ('started', 'VBD'), ('saying', 'VBG'), ('causing', 'VBG'), ('expressing', 'VBG'), ('knocking', 'VBG'), ('wearing', 'VBG'), ('speaking', 'VBG'), ('sporting', 'VBG'), ('revealing', 'VBG'), ('jiggling', 'VBG'), ('sold', 'VBN'), ('called', 'VBN'), ('made', 'VBN'), ('altered', 'VBN'), ('based', 'VBN'), ('designed', 'VBN'), ('covered', 'VBN'), ('communicated', 'VBN'), ('needed', 'VBN'), ('seen', 'VBN'), ('set', 'VBN'), ('featured', 'VBN'), ('which', 'WDT'), ('who', 'WPS'), ('when', 'WRB')] </code></pre>
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