Communication

The Nature of Rules, Regularities and Units in Language by Rolf Kreyer

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By Rolf Kreyer

Accomplished networks of language utilize buildings that transcend the fundamental associative connections that may be present in the mind. the current learn is an try to supply an account of language that restricts itself to buildings of a neurophysiological sort, i.e. uncomplicated nodes, excitatory and inhibitory connections.

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Sample text

26: Wholes, parts, bouquets, flowers, blossoms and petals in the network. the network that with the pair |FLOWER| and |BLOSSOM| the first will be assigned the status ‘whole’, while the second will be the ‘part’ and not vice versa? A solution to that problem lies in the use of inhibitory connections. e. |FLOWER|-|WHOLE| and |BLOSSOM|-|WHOLE|. The node |FLOWER|, in addition, would inhibit the connection |BLOSSOM|-|WHOLE|. Conversely, |PETAL| has inhibitory connections to |BLOSSOM|-|PART| and |FLOWER||PART|, and the node |BLOSSOM| inhibits the connection |FLOWER|-|PART|.

24. Let us assume that Paul has been singled out as the agent. As soon as the second mapping – John as patient – is ‘thought’, the node |JOHN| will become fully activated as well. And it will send supplementary activation to the link that leaves |AGENTfound| on the left-hand side, which would result in the routine ‘if John is agent …’. This will be prevented by link number 4. It is active as soon as Paul has been identified as the agent and it blocks any activation leaving the node |AGENTfound| on the left before this activation can be boosted by the node |JOHN|.

Rather, they serve to indicate relative degrees of entrenchment and association of individual elements within one figure in a more-or-less fashion. 3 Spreading activation Spreading activation is a central mechanism in all network models, but it seems that the minutiae of this phenomenon have not been worked out quite yet for linguistic models. g. 2000a) notion of entrenchment can explain how learning takes place in the network. g. Lamb 1998). 13: Activation spreading through connections of different strength at four successive points in time (the amount of filling in the ellipses represents the amount of activation of the nodes; the ‘glow’ represents the activation of a node and the passing on of activation through a link).

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