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Best practices for technical translations in manufacturing documentation
Technical translation in manufacturing isn’t a one-time task. Documentation teams manage ongoing updates, complex file formats, strict terminology, and frequent engineering changes across multiple languages. This article explores how documentation teams handle technical translations in practice, based on real workflows rather than theory.
What is a CAT tool? Computer-Assisted Translation explained
Computer-Assisted Translation (CAT) tools are the quiet engines behind modern multilingual communication. This guide breaks down what they are, how they work, and why teams of all sizes rely on them to translate faster, stay consistent, and collaborate effortlessly.
What is AI Translation and how it differs from Machine Translation
Most teams think they’re already using AI for translation, but most aren’t. This story explains the real difference between AI translation and machine translation, how modern systems learn from human feedback, and why it’s changing the future of global communication.
What is Machine Translation Post‑Editing (MTPE)
Machine Translation Post‑Editing (MTPE) is a hybrid translation method that combines automated translation with human editing. It’s ideal for high‑volume, time‑sensitive or budget‑conscious projects, delivering faster turnaround and lower costs while maintaining quality. This guide explains what MTPE is, the differences between light and full post‑editing, when to use them and best practices for success.
Best practices to create a terminology database
A terminology database is not just a glossary. It is a system that defines meaning, enforces consistency, and improves translation quality over time. This guide explores best practices for structuring terms, adding context, governing updates, and integrating terminology with translation memory and human review. Learn how platforms like TextUnited turn terminology into a scalable, self-improving system.