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On the Typology of Basic Locative Constructions in Sinitic Languages

Authors: Ng, KT;

On the Typology of Basic Locative Constructions in Sinitic Languages

Abstract

This paper aims to study the Basic Locative Constructions (BLCs) in Cantonese and Shanghainese by using a standardized picture elicitation method. Results show that BLCs in both Cantonese and Shanghainese adopt 4 strategies: locative copular, locative inversion, postural verbs and resultative complements. The latter two strategies are less frequently used, if not unacceptable, in Mandarin BLCs. The results suggest that the position of Southern Sinitic languages differs quite substantially from Mandarin in spatial typology. Moreover, locative inversion and resultative complements are strategies previously unaccounted for in existing typological frameworks. This experimental work endeavours to further our understanding of Sinitic typology and the typology of spatial language in general.

published_or_final_version

Session 7

Country
China (People's Republic of)
Related Organizations
Keywords

Cantonese, Spatial Typology, Locative Constructions, Postural Verbs, Shanghainese

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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!
0
Average
Average
Average
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