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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.
From naked mole rats to whales, all sorts of MT-like programs have been developed to help humans better understand their animal counterparts, but there’s...
By Cameron Rasmusson The Middlebury Institute of International Studies (MIIS), a historic leader in language education, faces closure due to financial difficulties. Currently, MIIS...
Interview by Cameron Rasmusson Healthcare is a field where there’s no room for error in interpretation. In that challenging environment, Linguava has distinguished itself...
