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Abstract:
It has been known that people, after being exposed to
sentences generated by an artificial grammar, acquire implicit
grammatical knowledge and are able to transfer the knowledge to
inputs that are generated by a modified grammar. We show that a
second order recurrent neural network is able to transfer
grammatical knowledge from one language (generated by a Finite
State Machine) to another language which differ
both
in vocabularies and syntax. Representation of the grammatical
knowledge in the network is analyzed using linear discriminant
analysis.
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