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Lexicon over Syntax

L2 Structural Processing of Chinese Separable Verbs

Bibliographic Data

ID5900748
AuthorsJunghwan Maeng (0000-0001-5422-9765, Hong Kong Polytechnic University, corresponding author)
Year2023
Volume8
Issue3
Pages192
Publication date2023-08-14
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLanguages (JOURNAL)
Journal identifiersISSN: 2226-471X • E-ISSN: 2226-471X
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/languages8030192
OpenAlexW4385812613
LanguageEN
References cited45

This study used online and offline tasks to examine whether proficient Korean learners of Chinese can analyze the syntactic structure of separable verbs in a native-like manner during real-time processing. Separable verbs are considered a unique grammar in Chinese, involving an interface of lexicon and syntax. Despite their lexical status, separable verbs occur in the form of syntactic phrases, with constituents modified by phrase-level rules in syntax. The present study demonstrates that despite native-like offline judgments on the syntactic analysis of separable verbs, the same grammatical information was not utilized in the L2 real-time processing. The results of the experiments indicate that the structural information of separable verbs was employed less in the L2 online processing due to overreliance on the lexical representations of these compounds. In contrast, it was shown that L1 speakers could access both syntactic and lexical information associated with separable verbs during real-time processing. It is suggested that when processing a construction involving an interface of syntax and lexicon, L2 speakers rely heavily on lexicon storage and underutilize structural information

Generative grammar · Interface (matter · Lexical functional grammar · Lexicon · Linguistics · Natural language processing · Phrase · Sentence · Sentence processing · Separable space · Syntax · Computer Science · EFL/ESL Teaching and Learning · Mathematics · Natural Language Processing Techniques · Second Language Acquisition and Learning · Artificial Intelligence

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