code: def map_acronyms(dict_acronym, dict_acronym_noi, transcription):
      """
      Transform acronyms in Switchboard transcripts into Fisher corpus convention.
  
      Examples we want to convert:
      IBM to i._b._m.
      BBC to b._b._c.
      BBCs to b._b._c.s
  
      This is what Kaldi's map_acronyms_transcripts.py does.
  
      Parameters
      ----------
      dict_acronym : dict
          Mapping from swbd acronyms to acronyms according to the Fisher corpus convention
      dict_acronym_noi : dict
          Mapping from swbd acronyms to acronyms according to the Fisher corpus convention with the letter I removed
      transcription : str
          A sentence in the Switchboard transcripts
      Returns
      -------
      The original sentence but with acronyms according to the Fisher convention
      """
  
      items = transcription.split()
      utt_length = len(items)
      # First pass mapping to map I as part of acronym
      for i in range(utt_length):
          if items[i] == "I":
              x = 0
              while i - 1 - x >= 0 and re.match(
                  r"^[A-Z]$", items[i - 1 - x]
              ):
                  x += 1
  
              y = 0
              while i + 1 + y < utt_length and re.match(
                  r"^[A-Z]$", items[i + 1 + y]
              ):
                  y += 1
  
              if x + y > 0:
                  for bias in range(-x, y + 1):
                      items[i + bias] = dict_acronym[items[i + bias]]
  
      # Second pass mapping (not mapping 'i' and 'I')
      for i in range(len(items)):
          if items[i] in dict_acronym_noi.keys():
              items[i] = dict_acronym_noi[items[i]]
      sentence = " ".join(items[1:])
  
      return items[0] + " " + sentence
  
imports: import re
  import csv
  import logging
  import os
  from collections import defaultdict
  from speechbrain.dataio.dataio import merge_csvs
  from speechbrain.utils.data_utils import download_file, get_all_files
label_desc: Use image node_id 14 for calling a global function with example usage: map_acronyms(dict_acronym, dict_acronym_noi, transcription) and returns: unknown