A Proposed User Study on MT-Enabled Scanning
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.- Anthology ID:
- 2022.amta-upg.26
- Volume:
- 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:
- September
- Year:
- 2022
- Address:
- Orlando, USA
- Editors:
- Janice Campbell, Stephen Larocca, Jay Marciano, Konstantin Savenkov, Alex Yanishevsky
- Venue:
- AMTA
- SIG:
- Publisher:
- Association for Machine Translation in the Americas
- Note:
- Pages:
- 377–393
- Language:
- URL:
- https://aclanthology.org/2022.amta-upg.26
- DOI:
- Cite (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.
- Cite (Informal):
- A Proposed User Study on MT-Enabled Scanning (Martindale & Carpuat, AMTA 2022)