code: def split_text_by_isalpha(s: str):
      """Split string into segments, so that alphabetic sequence is one segment"""
      for k, g in groupby(s, str.isalpha):
          yield "".join(g)
  
file_path: NeMo/nemo/collections/nlp/data/text_normalization_as_tagging/utils.py
imports: import re
  from itertools import groupby
  from typing import Dict, List, Tuple
  import numpy
label_desc: Use image node_id 5 for calling a global function with example usage: split_text_by_isalpha(s) without return types