old_contents: #!/usr/bin/python
  # -*- coding: utf-8 -*-
  
  """
  Created by Lalitha Madhuri Putchala on Dec 10 2017
  """
  
  import nltk
  from nltk import word_tokenize, pos_tag, ne_chunk
  from nltk.tokenize.punkt import PunktSentenceTokenizer
  from docx.enum.text import WD_COLOR_INDEX
  
  
  def highlight_text(doc, word):
      ''' 
          this function obtains the content of each paragraph and checks for the given word
          if the given word matches it highlights with yellow
      '''
  
      for paragraph in doc.paragraphs:
          if word in paragraph.text:
              substrings = paragraph.text.split(word)
              for substring in substrings[:-1]:
                  paragraph.text = substring
                  font = paragraph.add_run(word).font
                  font.highlight_color = WD_COLOR_INDEX.YELLOW
              paragraph.add_run(substrings[-1])
  
  
  def get_sentence_tokens(text):
      paragraphs = [p for p in text.split('\n') if p]
      tokenizer = PunktSentenceTokenizer()
      sentence_tokens = [tokenizer.tokenize(paragraph) for paragraph in
                         paragraphs]
      return sentence_tokens
  
  
  def get_word_tokens(text):
      return word_tokenize(text)
  
  
  def get_pos_tags(text):
      return nltk.pos_tag(text)
  
  
  def get_ne_chunks(pos):
      return ne_chunk(pos)
  
  
new_contents: #!/usr/bin/python
  # -*- coding: utf-8 -*-
  
  """
  Created by Lalitha Madhuri Putchala on Dec 10 2017
  """
  
  import nltk
  from nltk import word_tokenize, pos_tag, ne_chunk
  from nltk.tokenize.punkt import PunktSentenceTokenizer
  from docx.enum.text import WD_COLOR_INDEX
  
  
  def highlight_text(doc, word):
      ''' 
          this function obtains the content of each paragraph and checks for the given word
          if the given word matches it highlights with yellow
      '''
  
      for paragraph in doc.paragraphs:
          if word in paragraph.text:
              substrings = paragraph.text.split(word)
              for substring in substrings[:-1]:
                  paragraph.text = substring
                  font = paragraph.add_run(word).font
                  font.highlight_color = WD_COLOR_INDEX.YELLOW
              paragraph.add_run(substrings[-1])
  
  def tag_text(doc, word):
  
      for paragraph in doc.paragraphs:
          if word in paragraph.text:
              inline = paragraph.runs
              for i in range(len(inline)):
                  if word in inline[i].text:
                      text = inline[i].text.replace(word, str(word+'[PERSON]'))
                      inline[i].text
  
  def get_sentence_tokens(text):
      paragraphs = [p for p in text.split('\n') if p]
      tokenizer = PunktSentenceTokenizer()
      sentence_tokens = [tokenizer.tokenize(paragraph) for paragraph in
                         paragraphs]
      return sentence_tokens
  
  
  def get_word_tokens(text):
      return word_tokenize(text)
  
  
  def get_pos_tags(text):
      return nltk.pos_tag(text)
  
  
  def get_ne_chunks(pos):
      return ne_chunk(pos)
  
  
subject: Update utils.py