text: __author__ = 'iankuoli'
  
  import clean_text
  
  word2label = {}
  label2word = {}
  
  x_seq_list = []
  y_seq_list = []
  
  labelCount = 0
  
  # Convet "<s>" and "</s>" to "."
  word2label["."] = labelCount
  label2word[labelCount] = "."
  labelCount += 1
  
  # Other words are set "%%%"
  word2label["%%%"] = labelCount
  label2word[labelCount] = "%%%"
  labelCount += 1
  
  # Map word to labelID
  with open('MLDS_Final/sentence/train_clean.set', 'r', encoding='UTF-8') as file:
      for line in file:
  
          a = clean_text.clean_text(line)
          a = a.split(' ')
  
          for i in range(len(a)):
              word = a[i]
              if word not in word2label:
                  word2label[word] = labelCount
                  label2word[labelCount] = word
                  labelCount += 1
  
  with open('label2word.txt', 'w', encoding='UTF-8') as file:
      for i in label2word.keys():
          strout = str(i) + '\t' + label2word[i] + '\n'
          file.write(strout)