code: def tokenize_sentence(line):
      """
      Function to tokenize  sentence
      """
      tokenized_words = [
          word.replace("``", '"').replace("''", '"')
          for word in tokenizer.tokenize(line)
      ]
      return list(map(lambda x: str(x), tokenized_words))
  
file_path: nlp-architect/examples/reading_comprehension/match_lstm_mrc/prepare_data.py
imports: from __future__ import print_function
  import numpy
  import argparse
  import json
  import os
  from tqdm import tqdm
  from nlp_architect.utils.io import validate_existing_directory
  from nlp_architect.utils.text import SpacyInstance
label_desc: Use image node_id 4 for calling a global function with example usage: tokenize_sentence(line) and returns: list