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.
Interview by Gerald Roche Scholar and activist Abduweli Ayup was imprisoned in China for his work promoting the language rights of Uyghur people and...
A reporter for the Associated Press (AP) has received a lot of attention for his multilingual coverage of the ongoing conflict in Ukraine. In...
Dwindling numbers of people in the Western world write in cursive. Using his own signature as an example, Tim Brookes makes the case for...