Deploying MT Quality Estimation on a large scale: Lessons learned and open questions
Abstract
This talk will focus on Memsource’s experience implementing MT Quality Estimation on a large scale within a translation management system. We will cover the whole development journey: from our early experimentation and the challenges we faced adapting academic models for a real world setting, all the way through to the practical implementation. Since the launch of this feature, we’ve accumulated a significant amount of experience and feedback, which has informed our subsequent development. Lastly we will discuss several open questions regarding the future role of quality estimation in translation.- Anthology ID:
- 2021.mtsummit-up.21
- Volume:
- Proceedings of Machine Translation Summit XVIII: Users and Providers Track
- Month:
- August
- Year:
- 2021
- Address:
- Virtual
- Venue:
- MTSummit
- SIG:
- Publisher:
- Association for Machine Translation in the Americas
- Note:
- Pages:
- 291–305
- Language:
- URL:
- https://aclanthology.org/2021.mtsummit-up.21
- DOI:
- Cite (ACL):
- Aleš Tamchyna. 2021. Deploying MT Quality Estimation on a large scale: Lessons learned and open questions. In Proceedings of Machine Translation Summit XVIII: Users and Providers Track, pages 291–305, Virtual. Association for Machine Translation in the Americas.
- Cite (Informal):
- Deploying MT Quality Estimation on a large scale: Lessons learned and open questions (Tamchyna, MTSummit 2021)