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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.
By Melissa May For clinical trials involving linguistically and culturally diverse patient populations, successful eConsent implementation goes beyond simply digitizing consent forms. A successful...
Tim Brookes discusses the survival of the Mongolian language and script, the decrease in their use over the past century, and the art and...
Not all literary translators are paid equally — recently released survey results show that the income of literary translators varies significantly across different countries. ...
