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.
In the world of translation, NMT (Neural Machine Translation) is the buzzword. But with buzz comes myths. John Paul (JP) Barraza tackles the common...
Interview by Cameron Rasmusson Through her work advancing the Saudi translation and publishing industries, Dr. Hailah Alkhalaf aims to share the country’s diverse cultural...
In this episode, we explore how SOC 2 is actively redefining what "trust" means in translation technology. Adam Klar, CISO at memoQ, provides a...