@InProceedings{fujita-sumita:2017:WAT2017,
  author    = {Fujita, Atsushi  and  Sumita, Eiichiro},
  title     = {Japanese to English/Chinese/Korean Datasets for Translation Quality Estimation and Automatic Post-Editing},
  booktitle = {Proceedings of the 4th Workshop on Asian Translation (WAT2017)},
  month     = {November},
  year      = {2017},
  address   = {Taipei, Taiwan},
  publisher = {Asian Federation of Natural Language Processing},
  pages     = {79--88},
  abstract  = {Aiming at facilitating the research on quality estimation (QE) and
	automatic post-editing (APE) of machine translation (MT) outputs,
	especially for those among Asian languages, we have created new
	datasets for Japanese to English, Chinese, and Korean translations.
	As the source text, actual utterances in Japanese were extracted from the
	log data of our speech translation service.  MT outputs were then given by
	phrase-based
	statistical MT systems.  Finally, human evaluators were employed to
	grade the quality of MT outputs and to post-edit them.
	This paper describes the characteristics of the created datasets and
	reports on our benchmarking experiments on word-level QE,
	sentence-level QE, and APE conducted using the created datasets.},
  url       = {http://www.aclweb.org/anthology/W17-5705}
}