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The National Weather Service (NWS) is currently looking into adopting a more efficient translation workflow, according to a recently published request for information (RFI). Currently the NWS produces such translations manually, however the organization believes this to be an unsustainable practice due to the heavy workload and the amount of time it takes to complete — as such, it seems that machine learning technology is in order.
By Hani Alotaibi In Saudi Arabia, translation and interpreting education is being reshaped by workforce policy, with curriculum reform and graduate employability increasingly treated...
Delve into the exciting transition of Sandberg Translation Partners to employee ownership. Uncover the potential benefits of employee ownership, from heightened innovation to increased...
Laszlo Varga discusses trends in language technology, including the shift from Nimdzi's Language Technology Atlas to the more dynamic Language Technology Radar and its...
