class_docstr: Return an aligned sentence object, which encapsulates two sentences
  along with an ``Alignment`` between them.
  
  Typically used in machine translation to represent a sentence and
  its translation.
  
      >>> from nltk.translate import AlignedSent, Alignment
      >>> algnsent = AlignedSent(['klein', 'ist', 'das', 'Haus'],
      ...     ['the', 'house', 'is', 'small'], Alignment.fromstring('0-3 1-2 2-0 3-1'))
      >>> algnsent.words
      ['klein', 'ist', 'das', 'Haus']
      >>> algnsent.mots
      ['the', 'house', 'is', 'small']
      >>> algnsent.alignment
      Alignment([(0, 3), (1, 2), (2, 0), (3, 1)])
      >>> from nltk.corpus import comtrans
      >>> print(comtrans.aligned_sents()[54])
      <AlignedSent: 'Weshalb also sollten...' -> 'So why should EU arm...'>
      >>> print(comtrans.aligned_sents()[54].alignment)
      0-0 0-1 1-0 2-2 3-4 3-5 4-7 5-8 6-3 7-9 8-9 9-10 9-11 10-12 11-6 12-6 13-13
  
  :param words: Words in the target language sentence
  :type words: list(str)
  :param mots: Words in the source language sentence
  :type mots: list(str)
  :param alignment: Word-level alignments between ``words`` and ``mots``.
      Each alignment is represented as a 2-tuple (words_index, mots_index).
  :type alignment: Alignment
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docstr: Return the aligned sentence pair, reversing the directionality
  
  :rtype: AlignedSent
docstr_tok: ["Return","the","aligned","sentence","pair",",","reversing","the","directionality",":","rtype",":","AlignedSent"]
code: def invert(self):
      """
      Return the aligned sentence pair, reversing the directionality
  
      :rtype: AlignedSent
      """
      return AlignedSent(
          self._mots, self._words, self._alignment.invert()
      )
  
imports: import subprocess
  from collections import namedtuple
label_desc: Use image node_id 10 for calling the AlignedSent obj's underlying member method code with example usage: obj.invert() and returns: AlignedSent