code: def get_horz_ngrams(
      mention, attrib="words", n_min=1, n_max=1, lower=True, from_sentence=True
  ):
      
      spans = _to_spans(mention)
      for span in spans:
          for ngram in _get_direction_ngrams(
              "horz", span, attrib, n_min, n_max, lower, from_sentence
          ):
              yield ngram
docs: Return all ngrams which are visually horizontally aligned with the Mention.
  
      Note that if a candidate is passed in, all of its Mentions will be searched.
  
      :param mention: The Mention to evaluate
      :param attrib: The token attribute type (e.g. words, lemmas, poses)
      :param n_min: The minimum n of the ngrams that should be returned
      :param n_max: The maximum n of the ngrams that should be returned
      :param lower: If True, all ngrams will be returned in lower case
      :param from_sentence: If True, returns ngrams from any horizontally aligned
          Sentences, rather than just horizontally aligned ngrams themselves.
      :rtype: a *generator* of ngrams