Machine learning has made its way into nearly every industry, and game localization is no exception. Software providers claim that their machine translation products mark a new era in localization, ...

When Google Translate was first launched in 2006, it could only translate two languages. By 2016, it was supporting over 103 languages and translating over 100 billion words a day. Now, not only does ...

Today’s language translation apps are like self-driving cars: incredibly useful, promising, nearing maturity, and almost entirely powered by machines. It's astonishing that the technology even exists.

AI translation has transformed the way we communicate, breaking down language barriers in an unprecedented way. The sector’s global market size is projected to reach $12.3bn (€11.3bn) by 2026 — and ...

Language service and e-discovery decision making is governed by a trade-off triangle of three basic business constraints: 1) quality, 2) speed, and 3) cost. Are you looking for a low-cost solution? A ...

The AI and ML deployments are well underway, but for CXOs the biggest issue will be managing these initiatives, and figuring out where the data science team fits in and what algorithms to buy versus ...