@InProceedings{zhang-EtAl:2017:Long2,
  author    = {Zhang, Jiacheng  and  Liu, Yang  and  Luan, Huanbo  and  Xu, Jingfang  and  Sun, Maosong},
  title     = {Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization},
  booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  month     = {July},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {1514--1523},
  abstract  = {Although neural machine translation has made significant progress recently, how
	to integrate multiple overlapping, arbitrary prior knowledge sources remains a
	challenge. In this work, we propose to use posterior regularization to provide
	a general framework for integrating prior knowledge into neural machine
	translation. We represent prior knowledge sources as features in a log-linear
	model, which guides the learning processing of the neural translation model.
	Experiments on Chinese-English dataset show that our approach leads to
	significant improvements.},
  url       = {http://aclweb.org/anthology/P17-1139}
}