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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.
Amy Grace O'Brien, Sr. Linguistic Quality Manager at Adobe, and Roberto Silva, Terminology Program Manager at Amazon Web Services talk about the crucial role...
BLEND, a Tel Aviv-based language service provider (LSP) specializing in localization and translation, recently unveiled its 2022 Hall of Fame initiative to highlight some...
This non-conventional way of creating innovative products passes through five phases — empathize, define, ideate, prototype, and test — and is most useful to...
