text: import sys
  from nltk.translate.bleu_score import corpus_bleu
  import argparse
  from nltk.tokenize import word_tokenize
  import string
  
  reference0 = open(sys.argv[2], 'r', encoding='utf-8').readlines()
  #candidate = open(p+'informal', 'r').readlines()
  candidate = open(sys.argv[1],'r', encoding='utf-8').readlines()
  
  
  references = []
  candidates = []
  for i in range(len(candidate)):
      '''references.append([word_tokenize(reference0[i].strip()), word_tokenize(reference1[i].strip()),
                         word_tokenize(reference2[i].strip()), word_tokenize(reference3[i].strip())])
      candidates.append(word_tokenize(candidate[i].strip()))'''
      references.append([reference0[i].strip().split()])
      candidates.append(candidate[i].strip().split())
  score = corpus_bleu(references, candidates)
  print("The bleu score is: "+str(score))