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.
The debate around human parity in machine translation — whether or not we’ll achieve it in our lifetimes and its potential impact on the...
How the language industry can talk more honestly about AI By Domenico LombardiniThe author argues for using history and data to evaluate AI’s impact...
The discussion on AI, NLP, and speech translation is happening now. Join Veronica Hylák, Claudio Fantinuoli, and Manuel Herranz as they share insights on...
