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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.
The following is our conversation with Anna Rita DeBonis, Ph.D. candidate in Intercultural Relations and International Management at the Universidad de Glistuti Internationali di...
House Bill 2359 (HB 2359) addresses a major loophole in the state’s Health Care Interpreter Program, which sets language access regulations for healthcare providers...
EVERY WEEK WE LOOK BACK ON THE NEWS FROM MULTILINGUAL.COM WITH A LANGUAGE INDUSTRY SPECIALIST. WHAT STOOD OUT? WHAT ARE NOTABLE TRENDS? HOW CAN...
