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.
Scholastic and SoapBox Labs have recently come together to make speech recognition technology accessible to elementary schools across America.
The government of Canada is currently investigating the conditions that led to a particularly bad case of acoustic shock in an interpreter working on...
Supertext is making a bold move by putting AI translation at the center of its strategy—but with a twist. CEO Sam Laübli explains how...