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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.
Step into the world of 'Global Ambitions' as we chat with Stephanie Harris-Yee of Argos Multilingual about their latest outsert, 'Global Ambitions,' and how...
We interviewed Mimi Moore, owner of Wolfson House, program manager for Women in Localization, and author of the article "The Language of Diplomacy. Insights...
In a press conference given by Ukrainian President Volodymyr Zelensky today, the Ukrainian-German interpreter couldn’t help but break into tears on live TV at...
