
AI translation quality evaluation: Looking beyond human review
The meeting is going well. Translation costs are down, turnaround times are shorter, and AI is taking on more of the work. Then your VP asks a question: “How do you know the quality of AI translations is good enough?” Most localization teams can confidently measure speed and cost, but measuring quality is far less straightforward. Reviews, spot checks, and a handful of examples help, but they don't provide a consistent basis for deciding where







