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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.
BLEND, a Tel Aviv-based language service provider (LSP) specializing in localization and translation, recently unveiled its 2022 Hall of Fame initiative to highlight some...
Fresh off a year in Acolad’s CEO seat, Bertrand Gstalder sees a chance for the language industry to distinguish itself with its already-engrained values...
The Los Angeles Chargers not only came up with relevant content, but they also showed us that localization can be used in delightfully unexpected...
