@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://aclanthology.org/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.",
}
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%0 Conference Proceedings
%T Assessing Post-editing Effort in the English-Hindi Direction
%A Ahsan, Arafat
%A Mujadia, Vandan
%A Sharma, Dipti Misra
%Y Bandyopadhyay, Sivaji
%Y Devi, Sobha Lalitha
%Y Bhattacharyya, Pushpak
%S Proceedings of the 18th International Conference on Natural Language Processing (ICON)
%D 2021
%8 December
%I NLP Association of India (NLPAI)
%C National Institute of Technology Silchar, Silchar, India
%F ahsan-etal-2021-assessing
%X 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.
%U https://aclanthology.org/2021.icon-main.7
%P 44-53
Markdown (Informal)
[Assessing Post-editing Effort in the English-Hindi Direction](https://aclanthology.org/2021.icon-main.7) (Ahsan et al., ICON 2021)
ACL
- Arafat Ahsan, Vandan Mujadia, and Dipti Misra Sharma. 2021. Assessing Post-editing Effort in the English-Hindi Direction. In Proceedings of the 18th International Conference on Natural Language Processing (ICON), pages 44–53, National Institute of Technology Silchar, Silchar, India. NLP Association of India (NLPAI).