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This same technology that enabled neural machine translation to improve machine translation is now finding its way into seemingly unrelated products (think ChatGPT or Dall·E). The translation “problem” has not been solved with the latest advancements in NMT, but there are lessons to be learned in other professions from how the professional translation community has been affected by and adapted to the widespread use of NMT both by translators and by end users.
Hristina Dojčinova, a communications and events director and long-standing advisor in the language industry, shares her remarkable journey from Macedonia to Canada. She discusses...
Experts expect the combined revenue of video game markets in Saudi Arabia, Egypt, and the United Arab Emirates (UAE) to increase nearly twofold —...
By Jan Hofmeister and Laszlo Varga Sticking with an outdated translation management system can hold a company back. The authors explain the benefits of...
