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Guarding Quality at Scale
Manage episode 499660016 series 3498549
Amir Kamran and Amir Soleimani from Taus unpack Quality Estimation (QE) as the missing link between machine translation at scale and human-quality outcomes. They frame QE as an automated “second opinion” that flags what can ship, what needs a quick AI touch-up, and what should go to a linguist—shifting human effort to the tricky, high-risk bits.
In this conversation, we explore where this matters most (high-volume content, real-time chat, regulated use cases), how QE reshapes workflows after MT, and why language access still demands human oversight in sensitive domains. They close with what’s next: lighter, task-focused models, more agent-style automation, and a broader definition of quality that favors fitness-for-purpose over perfection.
644 episodes
Manage episode 499660016 series 3498549
Amir Kamran and Amir Soleimani from Taus unpack Quality Estimation (QE) as the missing link between machine translation at scale and human-quality outcomes. They frame QE as an automated “second opinion” that flags what can ship, what needs a quick AI touch-up, and what should go to a linguist—shifting human effort to the tricky, high-risk bits.
In this conversation, we explore where this matters most (high-volume content, real-time chat, regulated use cases), how QE reshapes workflows after MT, and why language access still demands human oversight in sensitive domains. They close with what’s next: lighter, task-focused models, more agent-style automation, and a broader definition of quality that favors fitness-for-purpose over perfection.
644 episodes
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