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Even an accurate, grammatically correct translation can feel unfamiliar to local users. Spelling, units, dates, numbers, terminology, and formatting conventions vary by market. For manufacturers localizing manuals and technical documentation across multiple countries, controlling these locale-specific differences is part of translation quality, not a final polish. The problem may be locale, not translation The United […]

A translation memory accumulates on its own as translation happens, but staying current is a separate matter altogether. In manual localization programs where each new model derives from the last, the TM is where the next document starts, so any change that reached the published file without passing back through the TM will resurface. Leave […]

If you’re getting close to selecting an AI translation vendor, this is the last checklist you need before signing. In a sales pitch, anything looks possible. But the verbal pitch and the actual operating system can be very different things. Below are the items to verify in writing — not just hear in a presentation […]

AI translation quality is improving fast. But “improving” and “production-ready” are not the same thing. Any company that has actually run AI translation through a real project has hit a quality issue they didn’t see coming. This article walks through four of the most common places AI translation breaks down — and what it takes […]

Expectations around AI translation are running high, and for good reason. But once you start running real projects in production, a more nuanced picture emerges: AI translation transforms some workflows dramatically — and complicates others. The deciding factor usually comes down to two things: whether you have an existing translation memory (TM), and what kind […]

ChatGPT, Claude, Gemini—today’s large language models (LLMs) show impressive translation performance. But anyone who has tried using these models on real business documents tends to encounter the same issue: everyday sentences may look excellent, but quality becomes unstable as soon as industry-specific terminology appears. This is not a defect in AI. It is a structural […]

More companies are adopting AI translation. Yet when the same document is given to multiple translation providers, the difference in output quality is often greater than expected. If everyone says they use AI translation, why are the results so different? The reason is not the AI technology alone. Results vary depending on the conditions under […]

Interest in AI translation is rising quickly. Many companies are drawn to the promise that AI can make translation faster and less expensive, while at the same time worrying that quality may not be reliable enough. Even when interest is high, many business teams still do not know where to begin or what to evaluate […]