class_docstr: A reader for part-of-speech tagged corpora whose documents are
  divided into categories based on their file identifiers.
class_docstr_tok: ["A","reader","for","part-of-speech","tagged","corpora","whose","documents","are","divided","into","categories","based","on","their","file","identifiers","."]
code: def tagged_paras(self, fileids=None, categories=None, tagset=None):
      return super().tagged_paras(
          self._resolve(fileids, categories), tagset
      )
  
imports: import os
  from nltk.corpus.reader.api import *
  from nltk.corpus.reader.timit import read_timit_block
  from nltk.corpus.reader.util import *
  from nltk.tag import map_tag, str2tuple
  from nltk.tokenize import *
label_desc: Use image node_id 4 for calling the CategorizedTaggedCorpusReader obj's underlying member method code with example usage: obj.tagged_paras(fileids, categories, tagset) and returns: super