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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.
The Bell Foundation, a UK-based charity organization specializing in language education, has published a report highlighting the need for better language access services in...
By Kate Edwards “Allegorical distance” is the amount of effort required for a player to perceive the real-world inspiration behind an allegory in a...
Will globalization go the way of the dinosaurs? Edith Bendermacher and Mimi Moore argue that by exploring new directions, learning from others, and leading...
