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A model of signed language ‘classifier predicates’ as templated visual representation

Authors: Dorothea Cogill-Koez;

A model of signed language ‘classifier predicates’ as templated visual representation

Abstract

A model of signed language classifier predicates is presented in which these forms are held to be a mode, not of linguistic, but of visual representation. This representation is largely schematic, combining discrete parts drawn from a finite set. Some of these parts or ‘templates’ may be truly digital or undeformable in nature, but some are argued to contain ‘elastic’ parameters, allowing for the conventional use of analogue or free-form representation. The model of classifier predicates as templated visual representation thus accommodates their discrete-combinatorial structure (previously interpreted as evidence of their linguistic nature), and also accounts for the mix of fixed and nonfinite elements in them, thus solving formal problems which arise in a strictly linguistic approach. Some implications of this model include issues regarding multimodality in signed communication systems, the relationships between CPs, ‘frozen’ sign and iconic gesture, the integration of visual and abstract modes of representation, and metaphor. It is concluded that the TVR model may provide a useful new perspective on the design of representational systems in the human mind.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
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!
20
Top 10%
Top 10%
Average
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