docstr: Common post-processing tokenizer for `13a` and `zh` tokenizers.
  :param line: a segment to tokenize
  :return: the tokenized line
docstr_tok: ["Common","post-processing","tokenizer","for","`","13a","`","and","`","zh","`","tokenizers",".",":","param","line",":","a","segment","to","tokenize",":","return",":","the","tokenized","line"]
code: def __call__(self, line):
      """Common post-processing tokenizer for `13a` and `zh` tokenizers.
      :param line: a segment to tokenize
      :return: the tokenized line
      """
      for _re, repl in self._re:
          line = _re.sub(repl, line)
  
      # no leading or trailing spaces, single space within words
      # return ' '.join(line.split())
      # This line is changed with regards to the original tokenizer (seen above) to return individual words
      return line.split()
  
file_path: evaluate/metrics/google_bleu/tokenizer_13a.py
imports: import re
  from functools import lru_cache
label_desc: Use image node_id 3 for calling the TokenizerRegexp obj's underlying member method code with example usage: obj.__call__(line) and returns: line