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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.
A paper recently published in the American Journal of Medical Care is shedding light on the importance of providing language access services in the...
We talk about his career path and RWS linguistic AI solution Evolve, which recently won the Machine Translation Innovation Award at the 2024 AI...
A conversation with Alexandra Jarvis, Chief Strategy Officer of Toppan Digital Language, and Christophe Djaouani, President, about TDL's recent acquisition and its impact on...
