语素
失配负性
复合物
透明度(行为)
心理学
怪胎范式
事件相关电位
自然语言处理
计算机科学
认知心理学
语言学
构造(python库)
人工智能
脑电图
程序设计语言
哲学
精神科
计算机安全
作者
Yiu Kei Tsang,Yun Zou,Chun‐Yu Tse
出处
期刊:Neuroscience
[Elsevier]
日期:2022-05-01
卷期号:490: 216-223
被引量:7
标识
DOI:10.1016/j.neuroscience.2022.03.007
摘要
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.
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