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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.
Language services offered steady consolidation opportunities in 2025 By Jonathan Otis Compared with the wider mergers and acquisitions market, the language industry stands out...
The notion that a person can feel guilt, like someone can feel joy or sadness, is foreign to the Tibetan psyche. Also foreign to...
By Gabriela Kouahla The author explains why current machine translation post-editing (MTPE) workflows cause mental exhaustion and emotional detachment. She proposes practical steps towards...
