code: def devectorize_utterance_ohe(self, ohe_utterance):
          
          ie_utterance = [argmax(w) for w in ohe_utterance]
          utterance = self.ie.inverse_transform(self.swap_pad_and_zero(ie_utterance))
  
          return utterance
docs: Take in a sequence of one-hot vectors and transform it into a tokenized utterance