AI Translation Has a Quality Problem. Here’s the Proof.

Abstract visualization of AI translation quality checking with highlighted text segments and dim unreviewed content on a dark interface

Everyone in this industry has heard the pitch by now. “AI translation is good enough.” “The error rates are negligible.” “You’re paying for post-editing you don’t need.” The pitch comes from vendors. It comes from clients. Sometimes it comes from your own leadership team, staring at a cost comparison spreadsheet. There’s just one problem: the … Read more

We Were at GALA Berlin. Here’s the Translation QA Problem Many Don’t Want to Name.

LanguageCheck.ai at GALA Berlin

AI has transformed how translation gets done. In many cases, the review process has barely moved. That gap is the conversation the industry needs to have. Berlin in April is a good place to take the industry’s temperature. GALA Berlin WorldReady 2026 brought together hundreds of localization professionals at the Titanic Chaussee for three days … Read more

ISO 5060:2024 Explained: A Practical Guide to Translation Output Evaluation

Illustration representing ISO 5060 translation quality evaluation using MQM error categories, severity scoring, and AI-assisted translation QA workflow

As machine translation and AI-driven localization accelerate, one question matters more than ever: How do you objectively measure translation quality? That’s where the ISO 5060:2024 standard for translation output evaluation comes in. For localization agencies, enterprises, and SaaS platforms integrating translation workflows, ISO 5060 provides a structured, standardized way to evaluate translation quality using analytic, … Read more

AI Proofreading vs Human Editors: When Is AI Enough (and When It’s Better)

AI language checking interface showing grammar corrections, spelling suggestions, and writing improvements in a modern digital editor

If you care about the quality of your writing, you’ve probably asked this question already: Should we use AI proofreading, or stick with human editors? For years, the answer was simple: humans were better, AI was faster.That line is now outdated. Today, the real question is not AI vs humans, but which problems each is … Read more