@InProceedings{rabinovich-EtAl:2017:EACLlong,
  author    = {Rabinovich, Ella  and  Patel, Raj Nath  and  Mirkin, Shachar  and  Specia, Lucia  and  Wintner, Shuly},
  title     = {Personalized Machine Translation: Preserving Original Author Traits},
  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     = {1074--1084},
  abstract  = {The language that we produce reflects our personality, and various personal and
	demographic characteristics can be detected in natural language texts. We focus
	on one particular personal trait of the author, gender, and study how it is
	manifested in original texts and in translations. We show that author's gender
	has a powerful, clear signal in originals texts, but this signal is obfuscated
	in human and machine translation. We then propose simple domain-adaptation
	techniques that help retain the original gender traits in the translation,
	without harming the quality of the translation, thereby creating more
	personalized machine translation systems.},
  url       = {http://www.aclweb.org/anthology/E17-1101}
}