code: def dummy_get_token_indices(text: str) -> List[List[int]]:
      """Get the start/stop char indices of word boundaries.
  
      >>> john_damascus_corinth = "Τοῦτο εἰπὼν, ᾐνίξατο αἰτίους ὄντας"
      >>> indices_words = dummy_get_token_indices(text=john_damascus_corinth)
      >>> indices_words[0:3]
      [[0, 5], [6, 11], [13, 20]]
      """
      indices_words = list()
      pattern_word = re.compile(r"\w+")
      for word_match in pattern_word.finditer(string=text):
          idx_word_start, idx_word_stop = word_match.span()
          indices_words.append([idx_word_start, idx_word_stop])
      return indices_words
  
file_path: cltk/scripts/pipeline_example.py
imports: import re
  from dataclasses import dataclass
  from typing import Callable, List
  from cltk.languages.glottolog import LANGUAGES
  from cltk.nlp import NLP
  from cltk.utils.data_types import Word
  from cltk.utils.operations import Operation
label_desc: Use image node_id 1 for calling a global function with example usage: dummy_get_token_indices(text) and returns: indices_words