2025.12.05
As products become more complex and the number of localized languages increases, managing documentation quality—especially for user manuals and technical documents—has become significantly more challenging. Manual quality checks often fail to catch recurring issues, and under tight deadlines, even minor oversights can result in costly…
2025.11.28
AI systems are evolving rapidly, but their performance still depends heavily on the quality of the training data they consume. In projects involving customer reviews, conversation logs, subtitles, or medical imagery—especially across multiple languages—simply collecting data isn’t enough. What’s required is high-precision labeling that accurately…
2025.11.28
Machine Translation Quality Estimation (MTQE) is one of the most talked-about developments in today’s localization industry. The promise of “automatically evaluating translation quality with minimal human effort” is attractive, and global tools such as TAUS EPIC, ModelFront, COMET-QE, and Intento are already serving as benchmarks…
2025.11.20
If you’ve ever tried to assess the quality of a large-scale translation project—especially one powered by machine translation (MT)—you know the challenge. Manual reviews are slow, subjective, and resource-heavy. Yet skipping quality checks can damage your brand, increase risk, or delay time to market. Scripted…
2025.11.20
For mid-sized manufacturers in the U.S. market, managing product documentation in multiple languages is an ongoing and often costly challenge—especially when launching frequent product variants or regional model updates. Every new manual, every language, and every update can result in ballooning translation costs, delayed time-to-market,…