code: def search_for_connected_sentences(self, word, txt, regex, rule):
      if not re.search(regex, word):
          return txt
      if any(k in word for k in cr.URL_EMAIL_KEYWORDS):
          return txt
      new_word = Text(word).apply(rule)
      txt = re.sub(re.escape(word), new_word, txt)
      return txt
  
file_path: pySBD/pysbd/cleaner.py
imports: import re
  from pysbd.utils import Text
  from pysbd.clean.rules import PDF, HTML, CleanRules
label_desc: Use image node_id 13 for calling the Cleaner obj's underlying member method code with example usage: obj.search_for_connected_sentences(word, txt, regex, rule) and returns: txt, txt, txt