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Microsoft
Deep consequences: Why syntax (as we know it) isn’t a thing, and other (shocking?) conclusions from modelling language with neural nets
With the development of ‘deeper’ models of language processing, we can start to infer (in an more empirically sound way) the true principles, factors or structures that underline language. This is because, unlike many other approaches in NLP, deep language models (loosely) reflect the true situation in which humans learn language. Neural ...
Jun 19, 2015
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