code: def add_lst20_args(parser):
      parser.add_argument(
          "--no_lst20_resegment",
          action="store_false",
          dest="lst20_resegment",
          default=True,
          help="When processing th_lst20 tokenization, use pythainlp to resegment the text.  The other option is to keep the original sentence segmentation.  Currently our model is not good at that",
      )
      parser.add_argument(
          "--lst20_spaces_after",
          action="store_true",
          dest="lst20_spaces_after",
          default=False,
          help="When processing th_lst20 without pythainlp, put spaces after each sentence.  This better fits the language but gets lower scores for some reason",
      )
      parser.add_argument(
          "--split_clauses",
          action="store_true",
          dest="split_clauses",
          default=False,
          help="When processing th_lst20 without pythainlp, turn spaces which are labeled as between clauses into sentence splits",
      )
  
file_path: stanza/stanza/utils/datasets/tokenization/convert_th_lst20.py
imports: import argparse
  import glob
  import os
  import sys
  from stanza.utils.datasets.tokenization.process_thai_tokenization import write_section, convert_processed_lines, reprocess_lines
label_desc: Use image node_id 4 for calling a global function with example usage: add_lst20_args(parser) without return types