@InProceedings{carpuat-vyas-niu:2017:NMT,
  author    = {Carpuat, Marine  and  Vyas, Yogarshi  and  Niu, Xing},
  title     = {Detecting Cross-Lingual Semantic Divergence for Neural Machine Translation},
  booktitle = {Proceedings of the First Workshop on Neural Machine Translation},
  month     = {August},
  year      = {2017},
  address   = {Vancouver},
  publisher = {Association for Computational Linguistics},
  pages     = {69--79},
  abstract  = {Parallel corpora are often not as parallel as one might assume: non-literal
	translations and noisy translations abound, even in curated corpora routinely
	used for training and evaluation. We use a cross-lingual textual entailment
	system to distinguish sentence pairs that are parallel in meaning from those
	that are not, and show that filtering out divergent examples from training
	improves translation quality.},
  url       = {http://www.aclweb.org/anthology/W17-3209}
}