text: 
  import nltk
  
  text="neden  yazmak bu kadar zordur ki . Kalem yorulur mu sence "
  from nltk.tokenize import word_tokenize, sent_tokenize
  sents=sent_tokenize(text)
  #print(sents)
  
  words=[word_tokenize(sent) for sent in sents]
  #print(words)
  
  from nltk.corpus import stopwords 
  from string import punctuation
  customStopWords=set(stopwords.words('english')+list(punctuation))
  
  wordsWOStopwords=[word for word in word_tokenize(text) if word not in customStopWords]
  #print(wordsWOStopwords)
  
  from nltk.collocations import *
  bigram_measures = nltk.collocations.BigramAssocMeasures()
  finder = BigramCollocationFinder.from_words(wordsWOStopwords)
  #print(sorted(finder.ngram_fd.items()))
  print(nltk.pos_tag(word_tokenize(text)))