docstr: Tokenize the given transcript (list of word)
  
  .. note::
  
     The toranscript must be normalized.
  
  Args:
      transcript (list of str): Transcript (list of word).
  
  Returns:
      (list of int): List of token sequences
docstr_tok: ["Tokenize","the","given","transcript","(","list","of","word",")","..","note",":",":","The","toranscript","must","be","normalized",".","Args",":","transcript","(","list","of","str",")",":","Transcript","(","list","of","word",")",".","Returns",":","(","list","of","int",")",":","List","of","token","sequences"]
code: def __call__(self, transcript: List[str]) -> List[List[str]]:
      """Tokenize the given transcript (list of word)
  
      .. note::
  
         The toranscript must be normalized.
  
      Args:
          transcript (list of str): Transcript (list of word).
  
      Returns:
          (list of int): List of token sequences
      """
  
imports: from abc import ABC, abstractmethod
  from typing import Dict, List
  import torch
  import torchaudio.functional
  from torch import Tensor
  from torchaudio.functional import TokenSpan
label_desc: Use image node_id 1 for calling the ITokenizer obj's underlying member method code with example usage: obj.__call__(transcript) without return types