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Part of book or chapter of book . 2008 . Peer-reviewed
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Semantic maps and the typology of colexification: Intertwining polysemous networks across languages

Authors: François, Alexandre;

Semantic maps and the typology of colexification: Intertwining polysemous networks across languages

Abstract

Building upon the model of Semantic Maps (Haspelmath 2003), which typologists have designed mainly for grammatical semantics, this chapter discusses methodological issues for a model in lexical typology. By breaking up polysemous lexemes of various languages into their semantic ‘atoms' or senses, one defines an etic grid against which cross-linguistic comparison can be undertaken. Languages differ as to which senses they colexify, i.e., lexify identically. But while each polysemous lexeme as a whole is language-specific, individual pairings of colexified senses can be compared across languages. Our model, understood as an empirical, atomistic approach to lexical typology, is finally exemplified with the rich polysemies associated with the notion “BREATHE”. Intertwined together, they compose a single, universal network of potential semantic extensions.

Country
France
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Keywords

colexification, semantic maps, polysemy, breathe, sense, etic grid, methodology, spirit, soul, [SHS.LANGUE]Humanities and Social Sciences/Linguistics, [SHS.LANGUE] Humanities and Social Sciences/Linguistics, lexical typology

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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).
    85
    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.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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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!
85
Top 1%
Top 10%
Average
Green
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