docstr: Converts text to ascii, numbers / number-like quantities to their spelt-out counterparts and expands
  abbreviations
docstr_tok: ["Converts","text","to","ascii",",","numbers","\/","number-like","quantities","to","their","spelt-out","counterparts","and","expands","abbreviations"]
code: def __call__(self, text):
      """
      Converts text to ascii, numbers / number-like quantities to their spelt-out counterparts and expands
      abbreviations
      """
  
      text = self.convert_to_ascii(text)
      text = text.lower()
      text = self.normalize_numbers(text)
      text = self.expand_abbreviations(text)
      text = self.collapse_whitespace(text)
      text = text.replace('"', "")
  
      return text
  
file_path: transformers/src/transformers/models/clvp/number_normalizer.py
imports: import re
label_desc: Use image node_id 12 for calling the EnglishNormalizer obj's underlying member method code with example usage: obj.__call__(text) and returns: text