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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.
Are you looking to integrate business success with positive social and environmental impact? Laura Gori urges language service providers to consider the Benefit Corporation...
Why aren’t we hiring those who are new to localization? I haven’t always been of the mind that I should hire people with localization...
By Yana Kolesnikova The author presents a case study from ride-hailing app inDrive, detailing how the company addressed a problem with its Spanish-language localization...
