Treffer: Semantic Transparency in Chinese Compound Word Processing: Evidence from Mismatch Negativity.

Title:
Semantic Transparency in Chinese Compound Word Processing: Evidence from Mismatch Negativity.
Authors:
Tsang YK; Department of Education Studies, Hong Kong Baptist University, Hong Kong; Centre for Learning Sciences, Hong Kong Baptist University, Hong Kong. Electronic address: yktsang@hkbu.edu.hk., Zou Y; Department of Psychological and Brain Sciences, University of Massachusetts Amherst, United States., Tse CY; Department of Social and Behavioural Sciences, City University of Hong Kong, Hong Kong. Electronic address: chunyu.tse@cityu.edu.hk.
Source:
Neuroscience [Neuroscience] 2022 May 10; Vol. 490, pp. 216-223. Date of Electronic Publication: 2022 Mar 11.
Publication Type:
Journal Article; Research Support, Non-U.S. Gov't
Language:
English
Journal Info:
Publisher: Elsevier Science Country of Publication: United States NLM ID: 7605074 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-7544 (Electronic) Linking ISSN: 03064522 NLM ISO Abbreviation: Neuroscience Subsets: MEDLINE
Imprint Name(s):
Publication: [New York?] : Elsevier Science
Original Publication: Oxford, Elmsford, N. Y., Pergamon Press
MeSH Terms:
Semantics* , Word Processing*, China ; Electroencephalography ; Evoked Potentials
Contributed Indexing:
Keywords: Chinese; compound word; dual-route model; mismatch negativity; semantic transparency
Entry Date(s):
Date Created: 20220315 Date Completed: 20220426 Latest Revision: 20220505
Update Code:
20250114
DOI:
10.1016/j.neuroscience.2022.03.007
PMID:
35288179
Database:
MEDLINE

Weitere Informationen

This study examined how semantic transparency modulated the processing of spoken Chinese compound words with event-related potential (ERP) recording. A reverse-block passive oddball paradigm was adopted to elicit mismatch negativity (MMN), which responds to holistic and combinatorial processing in opposite directions. Specifically, linguistic inputs that are processed as holistic lexical representations will elicit stronger MMNs (lexical enhancement) than those that do not have such representations. In contrast, when they are processed by combining the constituents, smaller MMNs will be elicited (combinatorial reduction) as compared to non-combinable inputs. We compared the strengths of MMNs among transparent words, opaque words, and pseudocompounds (that did not have lexical representations and were non-combinable). It was shown that transparent words triggered smaller MMNs than pseudocompounds, which supported combinatorial processing. Opaque words did not differ from pseudocompounds, which was interpreted as parallel employment of the holistic and combinatorial processing routes. Overall, the results are consistent with the idea that native Chinese speakers routinely attempt to process Chinese compound words by retrieving and combining morphemes. However, because the meanings of opaque words are irrelevant to their constituent morphemes, Chinese speakers must construct and retrieve their holistic representations to ensure accurate processing.
(Copyright © 2022 IBRO. Published by Elsevier Ltd. All rights reserved.)