code: def expand_contractions_batch(text_batch):
      """
      Wrapper that handles a batch of predicted or
      target words for contraction expansion
      """
      parsed_batch = []
      for batch in text_batch:
          # Remove incomplete words
          batch = [t for t in batch if not t.startswith("-")]
          # Expand contractions
          batch = [expand_contractions(t) for t in batch]
          # Flatten list of lists
          batch_expanded = [i for sublist in batch for i in sublist]
          parsed_batch.append(batch_expanded)
      return parsed_batch
  
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 3 for calling a global function with example usage: expand_contractions_batch(text_batch) and returns: parsed_batch