Hosted By
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.
“Children easily acquire language from quantities of data that are modest by the standards of modern artificial intelligence (AI),” reads a paper published in...
Inspired by databases that store genetic information, an interdisciplinary team of researchers has developed Lexibank — a database that aims to help shed light...
By Domenico Lombardini How can a language service provider (LSP) create real value for customers, beyond just tailoring workflow tools or utilizing AI? Domenico...
