code: def paracrawl_v3_pairs(paracrawl_file):
      """Generates raw (English, other) pairs from a ParaCrawl V3.0 data file.
  
      Args:
        paracrawl_file: A ParaCrawl V3.0 en-.. data file.
      Yields:
        Pairs of (sentence_en, sentence_xx), as Unicode strings.
      Raises:
        StopIteration: If the file ends while this method is in the middle of
            creating a translation pair.
      """
      raw_sentences = _raw_sentences(paracrawl_file)
      for s_en in raw_sentences:
          try:
              s_xx = next(raw_sentences)
              if s_en and s_xx:  # Prevent empty string examples.
                  yield s_en, s_xx
          except StopIteration:
              tf.logging.error(
                  "Unmatched final sentence while reading in sentence pairs: [%s]",
                  s_en,
              )
  
file_path: tensor2tensor/tensor2tensor/data_generators/cleaner_en_xx.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  import itertools
  import re
  from tensor2tensor.data_generators import text_encoder
  import tensorflow.compat.v1
label_desc: Use image node_id 1 for calling a global function with example usage: paracrawl_v3_pairs(paracrawl_file) without return types