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Semantic Transparency in Chinese Compound Word Processing: Evidence from Mismatch Negativity
Yiu-Kei Tsang1, Yun Zou2, Chun-Yu Tse3
1Department of Education Studies, Hong Kong Baptist University, Hong Kong; Centre for Learning Sciences, Hong Kong Baptist University, Hong Kong.
Neuroscience
|March 15, 2022
Summary
Chinese speakers process compound words by combining morphemes, as shown by event-related potential (ERP) data. Opaque words require holistic processing, while transparent words utilize combinatorial processing.
Area of Science:
- Psycholinguistics
- Cognitive Neuroscience
- Computational Linguistics
Background:
- Understanding how semantic transparency influences spoken word processing is crucial.
- Chinese compound words present a unique case due to their morphological structure.
Purpose of the Study:
- To investigate the neural mechanisms underlying the processing of Chinese compound words.
- To examine the role of semantic transparency in modulating word processing using event-related potentials (ERPs).
Main Methods:
- Employed a reverse-block passive oddball paradigm with event-related potential (ERP) recording.
- Elicited mismatch negativity (MMN) to differentiate between holistic and combinatorial processing.
- Compared MMN amplitudes for transparent words, opaque words, and pseudocompounds.
Main Results:
- Transparent Chinese compound words elicited smaller MMNs than pseudocompounds, indicating combinatorial processing.
- Opaque words did not differ from pseudocompounds, suggesting parallel holistic and combinatorial processing.
- MMN responses varied based on semantic transparency and lexical status.
Conclusions:
- Native Chinese speakers routinely engage in combinatorial processing of compound words by retrieving and combining morphemes.
- Opaque words necessitate the construction and retrieval of holistic representations for accurate processing.
- Findings support a dual-route model for processing Chinese compound words, involving both combinatorial and holistic mechanisms.
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