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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.
How partnerships between language companies and sports teams enable inclusivity By Scott Swanson For sports fans who are Deaf or who speak a language...
A subtitle toolset developed by PBT EU, SubtitleNEXT opens the year with a major update in its Version 5.11 release. Despite hurdles presented by...
Since the onset of the Russian invasion of Ukraine, Ukrainians’ attitudes on language policy appear to be shifting, according to a recent survey of...
