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#062 - Dr. Guy Emerson - Linguistics, Distributional Semantics
Machine Learning Street Talk (MLST)
How Much Is Ininnate and How Much Is Learnt?
I think this is somewhere where a machine learning approachers can say something interesting scientifically. Because if we can say that for a very generic class of algaritms, something is learnable, then we don't need to postulate that it's innate. We can say, actually, this is just a general er, a general property, which is learnable from the data. And so for example, with the ino, the famous poverty of the stimulus argument, you mention chomsky e This is something where there were really good ways to quantify it at one time. But empirically, we can now test this, right with, with large er n l p models, and train
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