Hosted By
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.
By Carol Velandia Language access, which is a civil right, cannot be fully automated by AI, especially in high-stakes situations like legal or medical...
Fact is, in the 20th century, the most influential linguists decided that writing was so secondary to spoken language that the two were barely...
While brushing up on some Arabic vocabulary, one user pointed out that Google Translate's entry for the Arabic word meaning "plan" was accompanied by...
