class_docstr: Reader for corpora following the TEI-p5 xml scheme, such as MULTEXT-East.
  MULTEXT-East contains part-of-speech-tagged words with a quite precise tagging
  scheme. These tags can be converted to the Universal tagset
class_docstr_tok: ["Reader","for","corpora","following","the","TEI-p5","xml","scheme",",","such","as","MULTEXT-East",".","MULTEXT-East","contains","part-of-speech-tagged","words","with","a","quite","precise","tagging","scheme",".","These","tags","can","be","converted","to","the","Universal","tagset"]
docstr: :param fileids: A list specifying the fileids that should be used.
  :return: the given file(s) as a list of sentences or utterances,
           each encoded as a list of word strings
  :rtype: list(list(str))
docstr_tok: [":","param","fileids",":","A","list","specifying","the","fileids","that","should","be","used",".",":","return",":","the","given","file","(","s",")","as","a","list","of","sentences","or","utterances",",","each","encoded","as","a","list","of","word","strings",":","rtype",":","list","(","list","(","str",")",")"]
code: def sents(self, fileids=None):
      """
      :param fileids: A list specifying the fileids that should be used.
      :return: the given file(s) as a list of sentences or utterances,
               each encoded as a list of word strings
      :rtype: list(list(str))
      """
      return concat(
          [
              MTEFileReader(os.path.join(self._root, f)).sents()
              for f in self.__fileids(fileids)
          ]
      )
  
imports: import os
  import re
  from functools import reduce
  from nltk.corpus.reader import TaggedCorpusReader, concat
  from nltk.corpus.reader.xmldocs import XMLCorpusView
label_desc: Use image node_id 4 for calling the MTECorpusReader obj's underlying member method code with example usage: obj.sents(fileids) and returns: concat