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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.
Language Services at the Olympics By Nathalie Greff-Santamaria Translation and interpreting are central to the Olympic and Paralympic Games to facilitate communication among athletes,...
AI is predicted to power 95% of global customer interactions by 2025. Our knowledge is encoded in language, Marciano says. For a machine to...
How global brands transcend cultural borders By Giovanna Patruno Global brand storytelling lies at the intersection of linguistics, cultural anthropology, and marketing strategy. Success...
