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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 conversation with Virginia Minhondo and Angélica Pérez about Delsur’s exciting transformation. We discuss their journey through rebranding, the evolving role of AI in...
Translit, an Ireland-based language service provider (LSP), has announced that it will be donating its services to the roughly 100,000 Ukrainian refugees expected to...
While these emotive little symbols can add a bit of character to an otherwise dull text message to friends or family, brands must be...
