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.
Spotify recently addressed user concerns regarding the automatic translation of song names into English, making titles in languages such as Chinese particularly difficult to...
By John Yunker A web globalization consultant describes the top five most common website and app localization mistakes to avoid in order to increase...
This month in The Lab, Mark Shriner looks at trends in the delivery of interpretation services in healthcare. Specifically, drivers of the growth in...
