code: def build_ssplit_pipe(ssplit, lang):
      if ssplit:
          return stanza.Pipeline(lang, processors="tokenize")
      else:
          return stanza.Pipeline(
              lang, processors="tokenize", tokenize_no_ssplit=True
          )
  
file_path: stanza/stanza/utils/datasets/constituency/selftrain.py
imports: import logging
  import os
  import random
  import re
  import stanza
  from stanza.models.common import utils
  from stanza.models.common.bert_embedding import TextTooLongError
  from stanza.utils.get_tqdm import get_tqdm
label_desc: Use image node_id 3 for calling a global function with example usage: build_ssplit_pipe(ssplit, lang) and returns: stanza, stanza