code: def add_specific_args(parser) -> None:
      """Add specific args."""
      parser.add_argument(
          "--gold",
          dest="tag_method",
          action="store_const",
          const=Tags.GOLD,
          default=Tags.PREDICTED,
          help="Use gold tags for building the depparse data",
      )
      parser.add_argument(
          "--predicted",
          dest="tag_method",
          action="store_const",
          const=Tags.PREDICTED,
          help="Use predicted tags for building the depparse data",
      )
      parser.add_argument(
          "--wordvec_pretrain_file",
          type=str,
          default=None,
          help="Exact name of the pretrain file to read",
      )
      parser.add_argument(
          "--tagger_model",
          type=str,
          default=None,
          help="Tagger save file to use.  If not specified, order searched will be saved/models, then $STANZA_RESOURCES_DIR",
      )
      parser.add_argument(
          "--save_dir",
          type=str,
          default=os.path.join("saved_models", "pos"),
          help="Where to look for recently trained POS models",
      )
      parser.add_argument(
          "--no_download_tagger",
          default=True,
          dest="download_tagger",
          action="store_false",
          help="Don't try to automatically download a tagger for retagging the dependencies.  Will fail to make silver tags if there is no tagger model to be found",
      )
      add_charlm_args(parser)
  
file_path: stanza/stanza/utils/datasets/prepare_depparse_treebank.py
imports: from enum import Enum
  import glob
  import logging
  import os
  from stanza.models import tagger
  from stanza.models.common.constant import treebank_to_short_name
  from stanza.resources.common import download, DEFAULT_MODEL_DIR
  from stanza.resources.default_packages import default_charlms, pos_charlms
  import stanza.utils.datasets.common
  import stanza.utils.datasets.prepare_tokenizer_treebank
  from stanza.utils.training.run_pos import wordvec_args
  from stanza.utils.training.common import add_charlm_args, build_charlm_args, choose_charlm
label_desc: Use image node_id 1 for calling a global function with example usage: add_specific_args(parser) without return types