Plurality and definiteness in Chengdu Chinese

Bibliographic Data

ID21756989
AuthorsJiajuan Xiong (0000-0002-2545-2877, Southwestern University of Finance and Economics), Chu-Ren Huang (0000-0002-8526-5520, Hong Kong Polytechnic University)
Year2020
Volume21
Issue4
Pages652-684
Publication date2020-09-18
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLanguage and Linguistics 語言暨語言學 (JOURNAL)
Journal identifiersISSN: 1606-822X • E-ISSN: 2309-5067
PublisherJohn Benjamins Publishing Company (PUBLISHER • NL)
DOI10.1075/lali.00074.xio
OpenAlexW3101529305
LanguageEN
Citations received1
References cited33

The authors identify a plural marker - ɕiɛ in Chengdu Chinese that can apply to both count and mass nouns, encoding plurality as well as definiteness. This post-nominal - ɕiɛ differs from the pre-nominal ɕiɛ , as the latter is purely plural but not inherently definite. Our analysis shows that the pre-nominal ɕiɛ functions as a quantifier, which occupies the [Spec, NumP] position, whereas the suffixal - ɕiɛ , by virtue of being a plural marker, is base-generated in the Num 0 position and move to D 0 to encode both plurality and definiteness. Moreover, the two ɕiɛ s can co-occur in one and the same nominal phrase, exhibiting the double definiteness effect . The syntactic analysis of ɕiɛ in Chengdu Chinese, coupled with the study of di in Cantonese, has theoretical impacts on nominal phrase structures, in particular, on “plurality” and “definiteness”. First, plural markers in classifier languages contrast with those in number languages, as the former, but not the latter, defies numerical modification. Second, definiteness can be expressed by a non-D element, which may check its [+ def ] feature either by undergoing an upward movement to D (or [Spec, DP]) or by agreeing with the [+ def ] feature of a demonstrative. Third, the DP-NP distinction is strongly supported by our account of Chengdu Chinese

Attributive · Categorization · Definiteness · Demonstrative · Determiner · Linguistics · Noun · Noun phrase · Phrase · Plural · Computer Science · Linguistic Variation and Morphology · Mathematics · Natural Language Processing Techniques · Philosophy · Syntax, Semantics, Linguistic Variation · Artificial Intelligence

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