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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.
Discover the latest AI tools unveiled at Google I/O, including the powerful PaLM 2. Get ready to dive into the exciting future of AI...
The Nimdzi Language Technology Atlas 2022 comprehensively assesses the language-technology landscape, as it does every year. For most people in the industry, this Atlas...
How global brands transcend cultural borders By Giovanna Patruno Global brand storytelling lies at the intersection of linguistics, cultural anthropology, and marketing strategy. Success...
