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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.
In this thought-provoking episode, Renato Beninatto sits down with Paul Carr, the CEO of WeLocalize, for an insightful discussion on the intricacies of the...
In this episode, Teresa Toronjo, Localization Manager at Malt, talks about how a single person can harness AI and automation to deliver timely, high-quality...
Sometimes things become reality if you only put the right label on it — in this piece, LT-Innovate board member Arthur Wetzel sets out...
