Accelerated Human NMT Evaluation Approaches for NMT Workflow Integration

James Phillips


Abstract
Attendees to this session will get a clear view into how neural machine translation is leveraged in a large-scale real-life scenario to make substantial cost savings in comparison to conventional approaches without compromising quality. This will include an overview of how quality is measured, when and why quality estimation is applied, what preparations are required to do so, and what attempts are made to minimize the amount of human effort involved. It will also be outlined as to what worked well and what pitfalls are to be avoided to give pointers to others who may be considering similar strategies.
Anthology ID:
2021.mtsummit-up.11
Volume:
Proceedings of Machine Translation Summit XVIII: Users and Providers Track
Month:
August
Year:
2021
Address:
Virtual
Editors:
Janice Campbell, Ben Huyck, Stephen Larocca, Jay Marciano, Konstantin Savenkov, Alex Yanishevsky
Venue:
MTSummit
SIG:
Publisher:
Association for Machine Translation in the Americas
Note:
Pages:
131–148
Language:
URL:
https://aclanthology.org/2021.mtsummit-up.11
DOI:
Bibkey:
Cite (ACL):
James Phillips. 2021. Accelerated Human NMT Evaluation Approaches for NMT Workflow Integration. In Proceedings of Machine Translation Summit XVIII: Users and Providers Track, pages 131–148, Virtual. Association for Machine Translation in the Americas.
Cite (Informal):
Accelerated Human NMT Evaluation Approaches for NMT Workflow Integration (Phillips, MTSummit 2021)
Copy Citation:
Presentation:
 2021.mtsummit-up.11.Presentation.pdf