docstr: Tokenizes an input line using a relatively minimal tokenization
  that is however equivalent to mteval-v13a, used by WMT.
  
  :param line: a segment to tokenize
  :return: the tokenized line
docstr_tok: ["Tokenizes","an","input","line","using","a","relatively","minimal","tokenization","that","is","however","equivalent","to","mteval-v13a",",","used","by","WMT",".",":","param","line",":","a","segment","to","tokenize",":","return",":","the","tokenized","line"]
code: def __call__(self, line):
      """Tokenizes an input line using a relatively minimal tokenization
      that is however equivalent to mteval-v13a, used by WMT.
  
      :param line: a segment to tokenize
      :return: the tokenized line
      """
  
      # language-independent part:
      line = line.replace("<skipped>", "")
      line = line.replace("-\n", "")
      line = line.replace("\n", " ")
  
      if "&" in line:
          line = line.replace("&quot;", '"')
          line = line.replace("&amp;", "&")
          line = line.replace("&lt;", "<")
          line = line.replace("&gt;", ">")
  
      return self._post_tokenizer(f" {line} ")
  
file_path: evaluate/metrics/bleu/tokenizer_13a.py
imports: import re
  from functools import lru_cache
label_desc: Use image node_id 3 for calling the Tokenizer13a obj's underlying member method code with example usage: obj.__call__(line) and returns: self