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.
The number of Arabic-to-English literary translations published in the United Kingdom and Ireland between 2010 and 2020 rose by about 92% from the two...
As Quebec’s provincial government attempts to tighten its language policy and adopt more pro-French legislation, many non-Francophones are protesting what they deem nationalistic and...
A conversation with Farbod Mansorian, the founder and CEO of Unilingo. After producing over 5,000 videos and reaching 50 billion views across 14 languages,...
