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by Jim Gallagher | Jan 25, 2024 | Lost in Translation
Expert Perspectives: What AI Means for Language Quality Management [Video] How can we harness the power of AI to improve linguistic accuracy, increase efficiency, and more? To explore this question, Beyont held a panel discussion with two guest experts on today’s...
by Jim Gallagher | Jan 16, 2024 | Lost in Translation
7 Language Quality Pitfalls That Make Localization Harder Wherever you’re heading on your localization journey, the right approach to language quality boosts your odds of a smooth arrival. By ensuring your translations meet consistent linguistic standards, you can...
![How Technology and AI Are Shaping Language Quality Management [Video]](https://www.beyont.com/wp-content/uploads/2023/09/mq3.jpeg)
by Jim Gallagher | Sep 6, 2023 | Lost in Translation
How Technology and AI Are Shaping Language Quality Management [Video] Technology is the catalyst for effective language quality management. Today’s advanced software tools speed up reviews, boost accuracy, and lighten the workload for language quality specialists. ...
by Jim Gallagher | Jun 30, 2023 | Lost in Translation
Defining Your Language Quality Goals: A Simple Guide for Success Would you head into the wilderness without a compass, GPS, or map? Only if you want to get lost with no easy way home! The same goes for language quality management (LQM). To end up in the right place,...
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by Jim Gallagher | May 31, 2023 | Lost in Translation
Unlocking Language Quality Management: Insider Insights from Beyont’s Expert Panel [Video] Enhancing language quality is the most reliable way to boost your localization outcomes. However, even seasoned localization managers may need guidance through the complex...
by Jim Gallagher | Jun 27, 2022 | Lost in Translation
Video: The Future of Language Quality Management As localization evolves, so does the challenge of quality assurance. So what’s new in language quality management, and what innovations are waiting around the corner? In a recent Beyont webinar, leaders from three...
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