code: def read_glm_csv(save_folder):
      """Load the ARPA Hub4-E and Hub5-E alternate spellings and contractions map"""
  
      alternatives_dict = defaultdict(list)
      with open(os.path.join(save_folder, "glm.csv")) as csv_file:
          csv_reader = csv.reader(csv_file, delimiter=",")
          for row in csv_reader:
              alternatives = row[1].split("|")
              alternatives_dict[row[0]] += alternatives
      return alternatives_dict
  
file_path: speechbrain/recipes/Switchboard/ASR/normalize_util.py
imports: import re
  import os
  import csv
  import string
  from collections import defaultdict
label_desc: Use image node_id 1 for calling a global function with example usage: read_glm_csv(save_folder) and returns: alternatives_dict