MIT World » : Human Simulations of Language Learning
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Saved by 1 people (0 private), first by anonymouse user on 2008-02-24
- Brianddrpm on 2008-02-24 - Tags decisionsystem , language , mit , psychology , science , video
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This workshop, explains Michael Coen, is an effort to engender temperate, collaborative discussion of a matter that inspires hot dispute: whether machine learning helps explain how humans acquire language. In particular, says Coen, machine learning advocates believe they have evidence against Noam Chomsky’s “poverty of stimulus argument,” which in essence states that language is built into us, that “children don’t receive enough linguistic inputs to explain linguistic outputs.”
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