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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 five-day workshop at the University of Kashmir culminated in the completion of a nearly 4,000-word glossary of political science terminology translated into the...
Eddie Arrieta sits down with Craig Stewart, Director of AI Research at Phrase and one of the architects of the Comet machine-translation metric, to...
Language services offered steady consolidation opportunities in 2025 By Jonathan Otis Compared with the wider mergers and acquisitions market, the language industry stands out...
