code: def get_right_ngrams(mention, window=3, attrib="words", n_min=1, n_max=1, lower=True):
      
      span = _to_span(mention, idx=-1)
      i = span.get_word_end_index()
      for ngram in tokens_to_ngrams(
          getattr(span.sentence, attrib)[i + 1 : i + 1 + window],
          n_min=n_min,
          n_max=n_max,
          lower=lower,
      ):
          yield ngram
docs: Get the ngrams within a window to the *right* from the sentence Context.
  
      For higher-arity Candidates, defaults to the *last* argument.
  
      :param mention: The Mention to evaluate. If a candidate is given, default
          to its last Mention.
      :param window: The number of tokens to the left of the first argument to
          return
      :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
      :rtype: a *generator* of ngrams