code: def setRegexParsers(self, value):
      """Sets an array of grammar based chunk parsers.
  
          POS classes should be enclosed in angle brackets, then treated as
          groups.
  
          Parameters
          ----------
          value : List[str]
              Array of grammar based chunk parsers
  
  
          Examples
          --------
          >>> chunker = Chunker() \\
          ...     .setInputCols("sentence", "pos") \\
          ...     .setOutputCol("chunk") \\
          ...     .setRegexParsers(["<NNP>+", "<NNS>+"])
          """
      return self._set(regexParsers=value)
  
imports: from sparknlp.common import *
label_desc: Use image node_id 2 for calling the Chunker obj's underlying member method code with example usage: obj.setRegexParsers(value) and returns: self