code: def load_multilingual_vocabulary(args):
      dicts = OrderedDict()
      vocabulary_list = getattr(args, "vocabulary", [])
      comparison_lang = None
      for vocabulary in vocabulary_list:
          assert (
              ":" in vocabulary
          ), "--vocabulary must be specified in the format lang:path"
          lang, path = vocabulary.split(":")
          dicts[lang] = pytorch_translate_dictionary.Dictionary.load(
              path
          )
          if len(dicts) > 1:
              assert dicts[lang].pad() == dicts[comparison_lang].pad()
              assert dicts[lang].eos() == dicts[comparison_lang].eos()
              assert dicts[lang].unk() == dicts[comparison_lang].unk()
          else:
              comparison_lang = lang
          print(f"| [{lang}] dictionary: {len(dicts[lang])} types")
  
      return dicts
  
label_desc: Use image node_id 1 for calling a global function with example usage: load_multilingual_vocabulary(args) and returns: dicts