code: def word_to_vector_list(self, word, numeric=False, xsampa=False):
          
          if xsampa:
              word = self.xsampa.convert(word)
          tensor = list(map(self.segment_to_vector, self.segs(word)))
          if numeric:
              return self.tensor_to_numeric(tensor)
          else:
              return tensor
docs: Return a list of feature vectors, given a Unicode IPA word.
  
          Args:
              word (unicode): string in IPA
              numeric (bool): if True, return features as numeric values instead
                              of strings
  
          Returns:
              list: a list of lists of '+'/'-'/'0' or 1/-1/0