@InProceedings{pu-mascarell-popescubelis:2017:EACLlong,
  author    = {Pu, Xiao  and  Mascarell, Laura  and  Popescu-Belis, Andrei},
  title     = {Consistent Translation of Repeated Nouns using Syntactic and Semantic Cues},
  booktitle = {Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {948--957},
  abstract  = {We propose a method to decide whether two occurrences of the same noun in a
	source text should be translated consistently, i.e. using the same noun in the
	target text as well.  We train and test classifiers that predict consistent
	translations based on lexical, syntactic, and semantic features.  We first
	evaluate the accuracy of our classifiers intrinsically, in terms of the
	accuracy of consistency predictions, over a subset of the UN Corpus.  Then, we
	also evaluate them in combination with phrase-based statistical MT systems for
	Chinese-to-English and German-to-English.  We compare the automatic
	post-editing of noun translations with the re-ranking of the translation
	hypotheses based on the classifiers' output, and also use these methods in
	combination.  This improves over the baseline and closes up to 50% of the gap
	in BLEU scores between the baseline and an oracle classifier.},
  url       = {http://www.aclweb.org/anthology/E17-1089}
}