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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.
Localization can be a complicated process. There are no shortage of factors to consider when bringing content to a new market. But what are...
This month's issue highlights Faiza Sultan, who arrived as a refugee in the US and used her skills as a linguist to open her...
By Bridget Hylak Bridget Hylak reflects on the reasons for the deep divisions in the language industry — providing context, perspectives, and examples from...
