Why Quality Estimation Should Be Fundamental to Machine Translation
21 September 2022
- Slator publishes article on the fundamental importance of quality estimation in MT
- Argues for quality estimation as a core component of machine translation processes
- Discusses how quality estimation can enhance translation workflows and improve accuracy
Slator has published an in-depth article arguing for the fundamental importance of quality estimation in machine translation workflows. The piece emphasizes that quality estimation should be considered a core component rather than an optional add-on in machine translation processes.
The article discusses how quality estimation technology can significantly enhance translation workflows by providing automated quality scores that help translators and project managers make informed decisions about which content requires human review and editing. This approach not only improves translation accuracy but also optimizes resource allocation and workflow efficiency.
The piece also explores the broader implications of integrating quality estimation into machine translation systems, including how it can improve content release speed while maintaining high translation standards, making it particularly valuable for large-scale translation operations.
Read the full article on Slator → (opens in a new tab)