class_docstr: The default Latin dictionary lookup algorithm.
  
  >>> from cltk.lexicon.processes import LexiconProcess
  >>> from cltk.core.data_types import Process, Pipeline
  >>> from cltk.tokenizers import LatinTokenizationProcess
  >>> from cltk.lemmatize.processes import LatinLemmatizationProcess
  >>> 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 Latin pipeline",     processes=[LatinTokenizationProcess, LatinLemmatizationProcess, LatinLexiconProcess],     language=get_lang("lat"))
  
  >>> nlp = NLP(language='lat', custom_pipeline=pipe, suppress_banner=True)
  >>> cltk_doc = nlp.analyze(text=get_example_text("lat"))
  >>> [word.definition[:10] for word in cltk_doc.words][:5]
  ['', 'est\n\n\n see', 'omnis e (o', '', 'in  old in']
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code: def algorithm(self):
      return LatinLewisLexicon()
  
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 LatinLexiconProcess obj's underlying member method code with example usage: obj.algorithm() and returns: LatinLewisLexicon