code: def uses_dictionary(short_language):
      """
      Some of the languages (as shown here) have external dictionaries
  
      We found this helped the overall tokenizer performance
      If these can't be found, they can be extracted from the previous iteration of models
      """
      if short_language in ("ja", "th", "zh", "zh-hans", "zh-hant"):
          return True
      return False
  
file_path: stanza/stanza/utils/training/run_tokenizer.py
imports: import logging
  import math
  import os
  from stanza.models import tokenizer
  from stanza.utils.avg_sent_len import avg_sent_len
  from stanza.utils.training import common
  from stanza.utils.training.common import Mode
label_desc: Use image node_id 1 for calling a global function with example usage: uses_dictionary(short_language) and returns: False, True