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Connectionism for cognitive linguistics

Authors: Helmut Schnelle;

Connectionism for cognitive linguistics

Abstract

Connectionism provides a challenge to current theorizing and modeling in theoretical cognitive linguistics. It has been acknowledged that cognitive linguistics must provide an integrated description and explanation of the knowledge (a) of language structure, (b) of language use, (c) of language acquisition and (d) of the physical mechanisms implementing knowledge, use and acquisition. So far cognitive linguistics has mostly concentrated on the definition of the knowledge of language structure in terms of systems of rules or a set of principles (constraints). Language use is currently specified by algorithms for parsers etc. This is usually confined to uses of regular language. Basic ideas have been advanced about how acquisition of language regularity could be specified in terms of a set of parameters for a system of basic principles for natural languages. No ideas have been given about the empirically justifiable or falsifiable structure of embodiment in physical mechanisms, though it has been acknowledge that we would be concerned with the structure of a biological system.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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