@inproceedings{sanchez-torron-koehn-2016-machine,
    title = "Machine Translation Quality and Post-Editor Productivity",
    author = "Sanchez-Torron, Marina  and
      Koehn, Philipp",
    editor = "Green, Spence  and
      Schwartz, Lane",
    booktitle = "Conferences of the Association for Machine Translation in the Americas: MT Researchers' Track",
    month = oct # " 28 - " # nov # " 1",
    year = "2016",
    address = "Austin, TX, USA",
    publisher = "The Association for Machine Translation in the Americas",
    url = "https://aclanthology.org/2016.amta-researchers.2",
    pages = "16--26",
    abstract = "We assessed how different machine translation (MT) systems affect the post-editing (PE) process and product of professional English{--}Spanish translators. Our model found that for each 1-point increase in BLEU, there is a PE time decrease of 0.16 seconds per word, about 3-4{\%}. The MT system with the lowest BLEU score produced the output that was post-edited to the lowest quality and with the highest PE effort, measured both in HTER and actual PE operations.",
}