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.
A recent study published in the journal IEEE Access is shining light on ways in which artificial intelligence (AI) tools can be used to...
The language industry is evolving to Language Intelligence and n this episode, Bruno Herrmann, Vice Chairman of LT Innovate, to unpack this critical concept....
Eddie Arrieta sits down with Craig Stewart, Director of AI Research at Phrase and one of the architects of the Comet machine-translation metric, to...
