docs: def _normalize_tags(chunk):
      """
      (From textblob)
  
      Normalize the corpus tags.
      ("NN", "NN-PL", "NNS") -> "NN"
      """
      ret = []
      for word, tag in chunk:
          if tag == 'NP-TL' or tag == 'NP':
              ret.append((word, 'NNP'))
              continue
          if tag.endswith('-TL'):
              ret.append((word, tag[:-3]))
              continue
          if tag.endswith('S'):
              ret.append((word, tag[:-1]))
              continue
          ret.append((word, tag))
      return ret