code: def split_word(sequences, space="_"):
      """Split word sequences into character sequences.
  
      Arguments
      ---------
      sequences: list
          Each item contains a list, and this list contains a words sequence.
      space: string
          The token represents space. Default: _
  
      Returns
      -------
      The list contains word sequences for each sentence.
  
      Example
      -------
      >>> sequences = [['ab', 'c', 'de'], ['efg', 'hi']]
      >>> results = split_word(sequences)
      >>> results
      [['a', 'b', '_', 'c', '_', 'd', 'e'], ['e', 'f', 'g', '_', 'h', 'i']]
      """
      results = []
      for seq in sequences:
          chars = list(space.join(seq))
          results.append(chars)
      return results
  
imports: import os
  import torch
  import logging
  import numpy
  import pickle
  import hashlib
  import csv
  import time
  import torchaudio
  import json
  import re
  from speechbrain.utils.torch_audio_backend import check_torchaudio_backend
label_desc: Use image node_id 26 for calling a global function with example usage: split_word(sequences, space) and returns: results