class_docstr: Regular expression tagger, inheriting from
  ``SequentialBackoffLemmatizer`` and ``RegexpTagger``.
class_docstr_tok: ["Regular","expression","tagger",",","inheriting","from","``","SequentialBackoffLemmatizer","``","and","``","RegexpTagger","``","."]
code: def __repr__(self):
      if self.source:
          return f"<{type(self).__name__}: {self.source}>"
      else:
          return (
              f"<{type(self).__name__}: {self.repr.repr(self._regexs)}>"
          )
  
imports: import re
  import reprlib
  from typing import Dict, List, Optional, Tuple
  from nltk.tag.sequential import RegexpTagger, SequentialBackoffTagger, TaggerI, UnigramTagger
label_desc: Use image node_id 3 for calling the RegexpLemmatizer obj's underlying member method code with example usage: obj.__repr__() and returns: str, type, str, self, str, str, type, str, self, str