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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.
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...
Long-time industry leader TransPerfect just revealed that the company reached USD 1.1 billion in revenue in 2021. This is up from USD 852.4 million...
The Globe-Trotting Journey of Translated 9 Interview by Cameron Rasmusson For eight months, an 18-member crew from Italian language service provider Translated competed in...
