code: def basic_english():
      """
      ### Basic  english tokenizer
  
      We use character level tokenizer in this experiment.
      You can switch by setting,
  
      ```
      'tokenizer': 'basic_english',
      ```
  
      in the configurations dictionary when starting the experiment.
      """
  
      from torchtext.data import get_tokenizer
  
      return get_tokenizer("basic_english")
  
imports: from typing import Callable
  import torch
  import torch.nn
  from torch.utils.data import DataLoader, RandomSampler
  from labml import lab, monit, logger, tracker
  from labml.configs import option
  from labml.logger import Text
  from labml_helpers.datasets.text import TextDataset, SequentialDataLoader, SequentialUnBatchedDataset, TextFileDataset
  from labml_helpers.device import DeviceConfigs
  from labml_helpers.metrics.accuracy import Accuracy
  from labml_helpers.module import Module
  from labml_helpers.train_valid import TrainValidConfigs, hook_model_outputs, BatchIndex
  from labml_nn.optimizers.configs import OptimizerConfigs
label_desc: Use image node_id 3 for calling a global function with example usage: basic_english() and returns: get_tokenizer