We are now living in a data-centric era, in which data is crucial to corporations, governmental agencies, research groups, and even language service providers when making decisions.
Perhaps one of the most common negative stereotypes of the average US resident is a general ignorance of other cultures and languages distinct from...
By Jonathan Otis After a significant slowdown in 2023, the language sector’s M&A landscape rebounded this year, with nearly every language service provider that...
With the democratization of AI, an engineer can build an MT model in one day. However, beating Google or DeepL in quality, performance, and...