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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.
A conversation with the head of language services at the Olympics and Paralympics Games in Paris, 2024. She is also the writer in the...
By Wojciech Wołoszyk and Marta Domaszk The authors detail a method for determining whether texts are human-written or AI-generated. The approach combines computational analysis,...
Machine translation (MT) is evolving rapidly, with new iterations providing emerging use cases for all manner of companies and individuals. But what combinations of...
