Professional MQM at Scale: Insights from 10,000 Annotations
Member Webinar
Managing linguistic quality at scale is a challenge for any global product team.
In this talk, Alexander Murauski (CEO at Alconost) will share lessons learned from analyzing over 10,000 MQM annotations, revealing practical strategies to maintain consistency, efficiency, and actionable insights across large-scale localization projects.
Alexander will cover how to prioritize error types, balance human and automated checks, and streamline feedback loops without sacrificing quality. Using real examples, we will discussed how structured MQM processes can help teams make data-driven decisions, improve translation workflows, and increase overall product quality.
This session is designed to be accessible, focusing on practical approaches rather than abstract theory, so attendees can leave with concrete steps to apply in their own projects.
Takeaways
- How to scale MQM effectively without overwhelming your team.
- Strategies to turn MQM data into actionable insights for quality improvement.
- Best practices for balancing automated and human evaluation in localization workflows.
Audience
- LLM Builders
- MT/AI Researchers
- LSPs
- Localization Teams
- Translators
Registration Options
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Registration Options
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Price |
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MEMBER TICKET
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FREE |
Alexander Murauski is the CEO of Alconost, an ISO-certified localization company that has been helping businesses grow internationally since 2004. He is an expert in using AI and structured quality frameworks, including MQM, to scale localization while maintaining quality and controlling costs. At Alconost, Alexander works closely with teams responsible for large-scale localization programs, covering translation, quality evaluation, and technology integration.
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