class_docstr: To be inherited for each language's tokenization declarations.
  
  Example: ``TokenizationProcess`` -> ``LatinTokenizationProcess``
  
  >>> from cltk.tokenizers.processes import TokenizationProcess
  >>> from cltk.core.data_types import Process
  >>> issubclass(TokenizationProcess, Process)
  True
  >>> tok = TokenizationProcess()
class_docstr_tok: ["To","be","inherited","for","each","language","'s","tokenization","declarations",".","Example",":","``","TokenizationProcess","``","-",">","``","LatinTokenizationProcess","``",">",">",">","from","cltk.tokenizers.processes","import","TokenizationProcess",">",">",">","from","cltk.core.data_types","import","Process",">",">",">","issubclass","(","TokenizationProcess",",","Process",")","True",">",">",">","tok","=","TokenizationProcess","(",")"]
docstr: The backoff tokenizer, from NLTK.
docstr_tok: ["The","backoff","tokenizer",",","from","NLTK","."]
code: def algorithm(self):
      """
      The backoff tokenizer, from NLTK.
      """
      return CLTKTreebankWordTokenizer()
  
imports: from copy import deepcopy
  from dataclasses import dataclass
  from boltons.cacheutils import cachedproperty
  from nltk.tokenize.treebank import TreebankWordTokenizer
  from cltk.core.data_types import Doc, Process, Word
  from cltk.tokenizers.akk import AkkadianWordTokenizer
  from cltk.tokenizers.arb import ArabicWordTokenizer
  from cltk.tokenizers.enm import MiddleEnglishWordTokenizer
  from cltk.tokenizers.fro import OldFrenchWordTokenizer
  from cltk.tokenizers.gmh import MiddleHighGermanWordTokenizer
  from cltk.tokenizers.lat.lat import LatinWordTokenizer
  from cltk.tokenizers.non import OldNorseWordTokenizer
  from cltk.tokenizers.word import CLTKTreebankWordTokenizer
label_desc: Use image node_id 1 for calling the TokenizationProcess obj's underlying member method code with example usage: obj.algorithm() and returns: CLTKTreebankWordTokenizer