# from nltk.tag import pos_tag
# from nltk.collocations import BigramCollocationFinder
# from nltk.metrics import BigramAssocMeasures
#
#
#
# sentence = '21-F,1st Floor Gulberg Centre,Main Boulevard'
# a =sentence
# text_words = a.split(',')
# finder = BigramCollocationFinder.from_words(text_words)
# rslt = finder.nbest(BigramAssocMeasures.likelihood_ratio, 3)
# print(rslt)
#
# for i in rslt:
#     for j in i:
#         tagged_sent = pos_tag(i)
#         print(tagged_sent)
#     # propernouns = [word for word,pos in tagged_sent if pos == 'NNP']
#     # print(propernouns)
print('thiss' in 'this is array' )
