With the democratization of AI, an engineer can build an MT model in one day. However, beating Google or DeepL in quality, performance, and market presence is another story. So, who are the teams that are able to compete, stand tall, and beat the odds in the market of MT? Here are some of our top picks.
By Hani Alotaibi In Saudi Arabia, translation and interpreting education is being reshaped by workforce policy, with curriculum reform and graduate employability increasingly treated...
Knowing when to make a change in strategy is possible only when clients or prospects trust their provider enough to give honest feedback. And...
In the world of translation, NMT (Neural Machine Translation) is the buzzword. But with buzz comes myths. John Paul (JP) Barraza tackles the common...