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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.
Allison Ferch, executive director of GALA talks about the GALA Valencia 2024, an event that provides many channels for brand recognition, thought leadership, and...
A trend has emerged where executives contemplate bypassing traditional translation processes and cutting budgets, swayed by the potential of Generative AI (GenAI). Read the...
A recent study published by the Washington, D.C.-based Urban Institute found that Asian Americans with limited English proficiency (LEP) face unique language barriers compared...
