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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1075/slcs.1...
Part of book or chapter of book . 2015 . Peer-reviewed
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Ditransitive constructions in Gan Chinese

A case study of the Yichun dialect
Authors: XuPing Li;

Ditransitive constructions in Gan Chinese

Abstract

This paper studies ditransitive constructions in Gan Chinese, one of the seven main Chinese language families. Gan dialects have the ‘inverted’ double object construction, as schematized in the order of “verb-DO-IO” (DO stands for direct object and IO for indirect object), as contrasted with the ‘canonical’ double object construction in Mandarin, such as “verb-IO-DO”. According to Zhang (2010), there is no GIVE verb in Gan dialects and they use verbs like take, hold, and obtain in ditransitive constructions instead. On the basis of Zhang, we claim that ditransitives in Gan are often realized by the serial verb construction of V-DO-Directional-IO and that its inverted double object construction is derived from this sequence by deleting a directional element. We diverge from Zhang in claiming that these TAKE-HOLD verbs have developed into three-place predicates, which can be considered as genuine general-purpose GIVE verbs in Gan.

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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!
26
Top 10%
Average
Average
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