The efficiency benefits of machine translation (MT) are well known for organizations that communicate with global audiences and localization providers who help them achieve this goal. However, ensuring accurate output that is also specific to an organization and its domain context remains a challenge. Adaptive MT that enables automatic learning and adaptation from user feedback is the answer.
Watch General Manager, Mihai Vlad and VP of Machine Learning, Bart Maczynski at Language Weaver, as they delve into the latest advances in adaptive machine translation. In this webinar recording they cover:
- Key concepts in adapting machine translation, including differences between generic models vs auto adaptive models
- Considerations for approaching and deploying adaptive capabilities
- Main functionality and benefits of an adaptive MT approach
- Practical demonstrations through Language Weaver.