class_docstr: Base class for sentences tokenization
class_docstr_tok: ["Base","class","for","sentences","tokenization"]
docstr: Initialize stoplist builder with option for language specific parameters.
  
  :param language : language for sentences tokenization
  :type language: str
docstr_tok: ["Initialize","stoplist","builder","with","option","for","language","specific","parameters",".",":","param","language",":","language","for","sentences","tokenization",":","type","language",":","str"]
code: def __init__(self, language: str = None):
      """Initialize stoplist builder with option for language specific parameters.
  
      :param language : language for sentences tokenization
      :type language: str
      """
      if language:
          self.language = language.lower()
      self.model = None
      self.lang_vars = None
  
file_path: cltk/src/cltk/sentence/sentence.py
imports: import os
  import re
  from abc import ABC, abstractmethod
  from typing import List
  from nltk.tokenize.punkt import PunktSentenceTokenizer
  from cltk.core import CLTKException
  from cltk.utils import CLTK_DATA_DIR
  from cltk.utils.file_operations import open_pickle
label_desc: Use image node_id 1 to create a new SentenceTokenizer object from inherited base classes: ABC with example: obj = SentenceTokenizer(language)