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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.
If you have a message you want to test drive, social media is a great way to gauge public perception. Feedback about how your...
What does it really mean to be “AI mature” in the localization industry? In this episode of Localization Today, Eddie Arrieta sits down with ...
In this episode, we speak with Veronique Ozkaya, Co-CEO of Datamundi AI, about the company’s transformation from Summa Linguae Technologies into a data-focused, AI-driven...
