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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
High applicative
Implicit subject
Gei ‘give’
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
Rights: © Springer Nature Switzerland AG 2021
This version of the contribution has been accepted for publication, after peer review (when applicable) but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: . Use of this Accepted Version is subject to the publisher’s Accepted Manuscript terms of use
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