class_docstr: The default Latin dictionary lookup algorithm.
  
      >>> from cltk.core.data_types import Process, Pipeline
      >>> 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, OldNorseLexiconProcess],     language=get_lang("non"))
  
      >>> nlp = NLP(language='non', custom_pipeline=pipe, suppress_banner=True)
      >>> cltk_doc = nlp.analyze(text=get_example_text("non"))
  
      #>>> [word.definition[:10] for word in cltk_doc.words][:5] # TODO check this
      #['', '(-s, -ar),', '', 'adv.
  1) th', '']
  
      
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code: def algorithm(self):
      return OldNorseZoegaLexicon()
  
file_path: cltk/src/cltk/lexicon/processes.py
imports: from copy import copy, deepcopy
  from dataclasses import dataclass
  from boltons.cacheutils import cachedproperty
  from cltk.core.data_types import Doc, Process
  from cltk.core.exceptions import CLTKException
  from cltk.lexicon.lat import LatinLewisLexicon
  from cltk.lexicon.non import OldNorseZoegaLexicon
label_desc: Use image node_id 1 for calling the OldNorseLexiconProcess obj's underlying member method code with example usage: obj.algorithm() and returns: OldNorseZoegaLexicon