Post-editing NMT for Technical Documentation Like a Pro

Tutorial
Language and Translation Technologies

09. November
14:30 - 15:30 PM (CET)
Channel D

finished

Michael Schroeder
- B&R Industrial Automation GmbH

Neural machine translation continues to improve, but there is still the need to look over and correct its results. This tutorial will look at some strategies that are useful in quickly detecting MT errors that go against defined style and terminology rules for technical translations, primarily using the tools and settings already available in Trados Studio. Some knowledge of regular expressions would be useful but is not required.

Takeaways

Increased proficiency in using the available verification settings in Trados Studio and increased efficiency during post-editing of technical translations.

Prior knowledge

Understanding of basic translation tools such as translation memory, termbases, etc. Knowledge of regular expressions would be useful but is not required.

Speaker

Michael Schroeder

B&R Industrial Automation GmbH

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Biography

As Technical Editor for English documentation at B&R Industrial Automation, I bring several years of experience developing and optimizing translation strategies for complex technical content. My work spans a wide range of domains—from control technology and engineering software to robotics and motion systems. I focus on identifying inefficiencies and implementing practical solutions in terminology management, translation workflows, and content handling. Whether it’s refining review processes, improving tool integration, or eliminating repetitive tasks, my goal is to make technical communication smarter, faster, and more sustainable.

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