class_docstr: Scans Greek texts that already contain macronized
  (i.e., long and shorts) texts.
class_docstr_tok: ["Scans","Greek","texts","that","already","contain","macronized","(","i.e.",",","long","and","shorts",")","texts","."]
docstr: Tokenize the text into a list of sentences with a list of words.
  
  Args:
      text: Text string
  
  Returns:
      List of words within a list of sentences
  
  >>> from cltk.prosody.grc import Scansion
  >>> not_tokenized = "νέος μὲν καὶ ἄπειρος, δικῶν ἔγωγε ἔτι. μὲν καὶ ἄπειρος."
  >>> Scansion()._tokenize(not_tokenized)
  [['νεος', 'μεν', 'και', 'απειρος', 'δικων', 'εγωγε', 'ετι.'], ['μεν', 'και', 'απειρος.']]
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code: def _tokenize(self, text: str) -> List[List[str]]:
      """Tokenize the text into a list of sentences with a list of words.
  
      Args:
          text: Text string
  
      Returns:
          List of words within a list of sentences
  
      >>> from cltk.prosody.grc import Scansion
      >>> not_tokenized = "νέος μὲν καὶ ἄπειρος, δικῶν ἔγωγε ἔτι. μὲν καὶ ἄπειρος."
      >>> Scansion()._tokenize(not_tokenized)
      [['νεος', 'μεν', 'και', 'απειρος', 'δικων', 'εγωγε', 'ετι.'], ['μεν', 'και', 'απειρος.']]
      """
      sentences = list()
      tokens = list()
      for word in self._clean_accents(text).split(" "):
          tokens.append(word)
          if "." in word:
              sentences.append(tokens)
              tokens = list()
      return sentences
  
file_path: cltk/src/cltk/prosody/grc.py
imports: from typing import List
  from cltk.core.cltk_logger import logger
label_desc: Use image node_id 5 for calling the Scansion obj's underlying member method code with example usage: obj._tokenize(text) and returns: sentences