Using Raw MT to make essential information available for a diverse range of potential customers

Sabine Peng


Abstract
This presentation will share how we use raw machine translation to reach more potential customers. The attendees will learn about the raw machine strategies and workflow, how to select languages and products through data analysis, how to evaluate the overall quality of documentation with raw machine translation. The attendees will also learn about the direction we are going, that is, collecting user feedback and optimizing raw machine translation, so to build a complete and sustainable closed loop.
Anthology ID:
2021.mtsummit-up.16
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:
211–226
Language:
URL:
https://aclanthology.org/2021.mtsummit-up.16
DOI:
Bibkey:
Cite (ACL):
Sabine Peng. 2021. Using Raw MT to make essential information available for a diverse range of potential customers. In Proceedings of Machine Translation Summit XVIII: Users and Providers Track, pages 211–226, Virtual. Association for Machine Translation in the Americas.
Cite (Informal):
Using Raw MT to make essential information available for a diverse range of potential customers (Peng, MTSummit 2021)
Copy Citation:
Presentation:
 2021.mtsummit-up.16.Presentation.pdf