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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.
In his first-time interview, we ask Freelanly founder Fedor Khatlamadzhiev about his entrepreneurship, work-life balance, and the service he's offering to translators and interpreters...
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...
In this episode, Teresa Toronjo, Localization Manager at Malt, talks about how a single person can harness AI and automation to deliver timely, high-quality...
