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Machine translation (MT) is evolving rapidly, with new iterations providing emerging use cases for all manner of companies and individuals. But what combinations of technology are best for whom? From generic MT, to MT plus translation memory, to MT plus machine learning, the gap between automated translation and human quality gets smaller and smaller.
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What does it really mean to be “AI mature” in the localization industry? In this episode of Localization Today, Eddie Arrieta sits down with ...
The Bell Foundation, a UK-based charity organization specializing in language education, has published a report highlighting the need for better language access services in...
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