class_docstr: The default Old Norse sentence tokenization algorithm.
  
  >>> from cltk.core.data_types import Process, Pipeline
  >>> from cltk.sentence.processes import OldNorseSentenceTokenizationProcess
  >>> from cltk.tokenizers import OldNorseTokenizationProcess
  >>> from cltk.languages.utils import get_lang
  >>> from cltk.languages.example_texts import get_example_text
  
  >>> from cltk.nlp import NLP
  >>> pipe = Pipeline(description="A custom Old Norse pipeline",     processes=[OldNorseTokenizationProcess, OldNorseSentenceTokenizationProcess],     language=get_lang("non"))
  >>> nlp = NLP(language='non', custom_pipeline=pipe, suppress_banner=True)
  >>> output_doc = nlp.analyze(get_example_text("non"))
  >>> len(output_doc.sentences_strings)
  7
code: def algorithm(self):
      return OldNorseRegexSentenceTokenizer()
  
file_path: cltk/src/cltk/sentence/processes.py
imports: from copy import deepcopy
  from dataclasses import dataclass
  from boltons.cacheutils import cachedproperty
  from cltk.core import CLTKException
  from cltk.core.data_types import Doc, Process
  from cltk.sentence.non import OldNorseRegexSentenceTokenizer
  from cltk.sentence.sentence import SentenceTokenizer
label_desc: Use image node_id 1 for calling the OldNorseSentenceTokenizationProcess obj's underlying member method code with example usage: obj.algorithm() and returns: OldNorseRegexSentenceTokenizer