class_docstr: A vocabulary that maps words to ints (storing a vocabulary)
class_docstr_tok: ["A","vocabulary","that","maps","words","to","ints","(","storing","a","vocabulary",")"]
docstr: Return the vocabulary as a reversed dict object
  
  Returns:
      dict: reversed vocabulary object
docstr_tok: ["Return","the","vocabulary","as","a","reversed","dict","object","Returns",":","dict",":","reversed","vocabulary","object"]
code: def reverse_vocab(self):
      """
      Return the vocabulary as a reversed dict object
  
      Returns:
          dict: reversed vocabulary object
      """
      return self._rev_vocab
  
imports: import re
  import string
  import sys
  from os import path
  from typing import List, Tuple
  import spacy
  from nltk import WordNetLemmatizer
  from nltk.stem.snowball import EnglishStemmer
  from spacy.cli.download import download
  from spacy.lang.en import LEMMA_EXC, LEMMA_INDEX, LEMMA_RULES
  from spacy.lemmatizer import Lemmatizer
  from nlp_architect.utils.generic import license_prompt
  from joblib import Parallel, delayed
  from functools import partial
  from spacy.util import minibatch
  from nlp_architect.common.core_nlp_doc import CoreNLPDoc
  from pathlib import Path
label_desc: Use image node_id 11 for calling the Vocabulary obj's underlying member method code with example usage: obj.reverse_vocab() and returns: self