code: def cleanup_transcript(text, english_compatible=False):
      text = text.replace("’", "'").replace("\u00A0", " ")
      text = PUNCTUATIONS_REG.sub(" ", text)
      text = MULTIPLE_SPACES_REG.sub(" ", text)
      if english_compatible:
          text = unidecode.unidecode(text)
      return text.strip().lower()
  
file_path: DeepSpeech/bin/import_ts.py
imports: import csv
  import os
  import re
  import subprocess
  import zipfile
  from multiprocessing import Pool
  import progressbar
  import sox
  import unidecode
  from deepspeech_training.util.downloader import SIMPLE_BAR, maybe_download
  from deepspeech_training.util.importers import get_counter, get_imported_samples, get_importers_parser, get_validate_label, print_import_report
label_desc: Use image node_id 6 for calling a global function with example usage: cleanup_transcript(text, english_compatible) and returns: text