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Language processing with dynamic fields
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DOI：10.1007/s11571-008-9042-4.png)
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Abstract
En 中文
We construct a mapping from complex recursive linguistic data structures to spherical wave functions using Smolensky's filler/role bindings and tensor product representations. Syntactic language processing is then described by the transient evolution of these spherical patterns whose amplitudes are governed by nonlinear order parameter equations. Implications of the model in terms of brain wave dynamics are indicated.
Keywords:
Computational psycholinguistics
Language processing
Fock space
Dynamic fields
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