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The Human Semantic Potential: Spatial Language and Constrained Connectionism (Neural Network Modeling and Connectionism)

Terry Regier




[PDF.nz57] The Human Semantic Potential: Spatial Language and Constrained Connectionism (Neural Network Modeling and Connectionism)

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 | #6819870 in Books |  1996-08-29 | Original language:English | PDF # 1 |  9.10 x.70 x7.10l,.85 | File type: PDF | 236 pages

|| ||"Regier's work deals creatively and productively with a current issue of great theoretical import, namely the possible application of connectionist processing models to realistic natural language problems as analyzed in cognitive linguistics. It is well organ

Drawing on ideas from cognitive linguistics, connectionism, and perception, The Human Semantic Potential describes a connectionist model that learns perceptually grounded semantics for natural language in spatial terms. Languages differ in the ways in which they structure space, and Regier's aim is to have the model perform its learning task for terms from any natural language. The system has so far succeeded in learning spatial terms from English, German, Rus...

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