Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/91928
Title: Deriving various affected subjects in bei-passives
Authors: Hsu, YY 
Chen, J 
Issue Date: 2021
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2021, v. 12278, p. 276-287
Abstract: This paper investigates the thematic types and derivations of subjects in Mandarin bei-passives. Based on an examination of the categorial status of bei discussed in the literature, we try a new approach by adopting Liu and Huang’s view that the mechanism of deriving bei-passives is argument raising (in which bei is a semi-lexical verb heading the Voice projection), and propose a simplified and unified account of bei-passives’ Experiencer and Possessor subjects, as well as their typical Patient subjects. Specifically, we propose that the high applicative gei proposed in Hsu and Qu can account structurally for the source of the Experiencer in bei-passives. We then present how the structure proposed in this paper accounts for Possessor related subjects in bei-passives, and explain the interpretations and the possible derivation of an extra implicit affected subject in bei-passives.
Keywords: Bei passives
Raising
High applicative
Implicit subject
Gei ‘give’
Mandarin
Publisher: Springer
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/978-3-030-81197-6_24
Appears in Collections:Conference Paper

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Embargo End Date 2022-07-26
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