Bigrams

import nltk.collocations
import nltk.corpus
import collections
bgm    = nltk.collocations.BigramAssocMeasures()
finder = nltk.collocations.BigramCollocationFinder.from_words(nltk.corpus.brown.words())
scored = finder.score_ngrams( bgm.likelihood_ratio  )
# Group bigrams by first word in bigram.                                        
prefix_keys = collections.defaultdict(list)
for key, scores in scored:
   prefix_keys[key[0]].append((key[1], scores))
prefix_keys
defaultdict(list,
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