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.
We talked about their approach to innovation at Bureau Works and participation in the product innovation challenge at LocWorld51.
A team of researchers at the University of Toronto has introduced a new framework for interpreting slang in natural language processing (NLP).
Join us in this exclusive segment from LocWorld50 as we engage with Dave Ruane, the force behind the Process Innovation Challenge. This in-depth interview...
