code: def vectorize_utterance_ohe(self, utterance):
          
          for i, word in enumerate(utterance):
              if not word in self.vocab_list:
                  utterance[i] = '<unk>'
  
          ie_utterance = self.swap_pad_and_zero(self.ie.transform(utterance))
          ohe_utterance = np.array(self.ohe.transform(ie_utterance.reshape(len(ie_utterance), 1)))
  
          return ohe_utterance
docs: Take in a tokenized utterance and transform it into a sequence of one-hot vectors