"Neural machine translation provides a narrow AI approach to learning linguistic mappings from examples rather than manually encoding every translation rule."
Google's 2016 research describes a neural translation architecture that learns mappings between languages using end-to-end training and learned representations. It illustrates the manuscript's distinction between explicitly stored information and implicit statistical patterns extracted from large datasets.
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