code: def expand_abbreviations(text):
      for regex, replacement in _abbreviations:
          text = re.sub(regex, replacement, text)
      return text
  
file_path: fairseq/examples/textless_nlp/gslm/unit2speech/tacotron2/cleaners.py
imports: import re
  from unidecode import unidecode
  from .numbers import normalize_numbers
label_desc: Use image node_id 1 for calling a global function with example usage: expand_abbreviations(text) and returns: text