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.
Rihanna wasn’t the only star at the Super Bowl halftime show last night. Justina Miles interpreted Rihanna’s performance in American Sign Language (ASL), allowing...
Recorded live at the International Translation Forum in Riyadh, this episode brings together Eddie Arrieta and Gokhan Doğru—Turkish translator, technologist, and founder of Localization ...
The latest wave of industrial automation with technologies like hyperautomation, workflow orchestration, and generative AI has the potential to widen the range of tasks...