class_docstr: Tokenize according to rules specific to a given language.
code: def __init__(self):
      self.punkt_param = PunktParameters()
      self.punkt_param.abbrev_types = set(ABBREVIATIONS)
      self.sent_tokenizer = LatinPunktSentenceTokenizer()
      self.word_tokenizer = LatinLanguageVars()
  
file_path: cltk/src/cltk/tokenizers/lat/lat.py
imports: import re
  from typing import List, Tuple
  from nltk.tokenize.punkt import PunktLanguageVars, PunktParameters
  from cltk.sentence.lat import LatinPunktSentenceTokenizer
  from cltk.tokenizers.lat.params import ABBREVIATIONS, latin_exceptions
  from cltk.tokenizers.lat.params import latin_replacements
  from cltk.tokenizers.word import WordTokenizer
label_desc: Use image node_id 1 to create a new LatinWordTokenizer object from inherited base classes: WordTokenizer with example: obj = LatinWordTokenizer()