@inproceedings{carpuat-2022-proposed,
title = "A Proposed User Study on {MT}-Enabled Scanning",
author = "Martindale, Marianna J and
Carpuat, Marine",
editor = "Campbell, Janice and
Larocca, Stephen and
Marciano, Jay and
Savenkov, Konstantin and
Yanishevsky, Alex",
booktitle = "Proceedings of the 15th Biennial Conference of the Association for Machine Translation in the Americas (Volume 2: Users and Providers Track and Government Track)",
month = sep,
year = "2022",
address = "Orlando, USA",
publisher = "Association for Machine Translation in the Americas",
url = "https://aclanthology.org/2022.amta-upg.26",
pages = "377--393",
abstract = "In this talk I will present a proposed user study to measure the impact of potentially misleading MT output on MT-enabled scanning of foreign language text by intelligence analysts (IAs) and the effectiveness of a practical intervention: providing output from more than one NMT system to the user. The focus of the talk will be on the approach to de-signing the user study to resemble scanning tasks in a measurable way with unclassified documents.",
}
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%0 Conference Proceedings
%T A Proposed User Study on MT-Enabled Scanning
%A Martindale, Marianna J.
%A Carpuat, Marine
%Y Campbell, Janice
%Y Larocca, Stephen
%Y Marciano, Jay
%Y Savenkov, Konstantin
%Y Yanishevsky, Alex
%S Proceedings of the 15th Biennial Conference of the Association for Machine Translation in the Americas (Volume 2: Users and Providers Track and Government Track)
%D 2022
%8 September
%I Association for Machine Translation in the Americas
%C Orlando, USA
%F carpuat-2022-proposed
%X In this talk I will present a proposed user study to measure the impact of potentially misleading MT output on MT-enabled scanning of foreign language text by intelligence analysts (IAs) and the effectiveness of a practical intervention: providing output from more than one NMT system to the user. The focus of the talk will be on the approach to de-signing the user study to resemble scanning tasks in a measurable way with unclassified documents.
%U https://aclanthology.org/2022.amta-upg.26
%P 377-393
Markdown (Informal)
[A Proposed User Study on MT-Enabled Scanning](https://aclanthology.org/2022.amta-upg.26) (Martindale & Carpuat, AMTA 2022)
ACL
- Marianna J Martindale and Marine Carpuat. 2022. A Proposed User Study on MT-Enabled Scanning. In Proceedings of the 15th Biennial Conference of the Association for Machine Translation in the Americas (Volume 2: Users and Providers Track and Government Track), pages 377–393, Orlando, USA. Association for Machine Translation in the Americas.