@inproceedings{ahsan-etal-2021-assessing,
    title = "Assessing Post-editing Effort in the {E}nglish-{H}indi Direction",
    author = "Ahsan, Arafat  and
      Mujadia, Vandan  and
      Sharma, Dipti Misra",
    editor = "Bandyopadhyay, Sivaji  and
      Devi, Sobha Lalitha  and
      Bhattacharyya, Pushpak",
    booktitle = "Proceedings of the 18th International Conference on Natural Language Processing (ICON)",
    month = dec,
    year = "2021",
    address = "National Institute of Technology Silchar, Silchar, India",
    publisher = "NLP Association of India (NLPAI)",
    url = "https://preview.aclanthology.org/fix-sig-urls/2021.icon-main.7/",
    pages = "44--53",
    abstract = "We present findings from a first in-depth post-editing effort estimation study in the English-Hindi direction along multiple effort indicators. We conduct a controlled experiment involving professional translators, who complete assigned tasks alternately, in a translation from scratch and a post-edit condition. We find that post-editing reduces translation time (by 63{\%}), utilizes fewer keystrokes (by 59{\%}), and decreases the number of pauses (by 63{\%}) when compared to translating from scratch. We further verify the quality of translations thus produced via a human evaluation task in which we do not detect any discernible quality differences."
}