Holsinger Edward
University of Southern California, CA 90802, USA.
Lang Speech. 2013 Sep;56(Pt 3):373-94. doi: 10.1177/0023830913484899.
Recent work on the processing of idiomatic expressions argues against the idea that idioms are simply big words. For example, hybrid models of idiom representation, originally investigated in the context of idiom production, propose a priority of literal computation, and a principled relationship between the conceptual meaning of an idiom, its literal lemmas and its syntactic structure. We examined the predictions of the hybrid representation hypothesis in the domain of idiom comprehension. We conducted two experiments to examine the role of syntactic, lexical and contextual factors on the interpretation of idiomatic expressions. Experiment I examines the role of syntactic compatibility and lexical compatibility on the real-time processing of potentially idiomatic strings. Experiment 2 examines the role of contextual information on idiom processing and how context interacts with lexical information during processing. We find evidence that literal computation plays a causal role in the retrieval of idiomatic meaning and that contextual, lexical and structural information influence the processing of idiomatic strings at early stages during processing, which provide support for the hybrid model of idiom representation in the domain of idiom comprehension.
最近关于习语表达处理的研究反对习语仅仅是大词的观点。例如，最初在习语生成背景下研究的习语表征混合模型提出了字面计算的优先性，以及习语的概念意义、其字面词元和句法结构之间的原则性关系。我们在习语理解领域检验了混合表征假设的预测。我们进行了两项实验来检验句法、词汇和语境因素在习语表达解释中的作用。实验一检验句法兼容性和词汇兼容性在潜在习语字符串实时处理中的作用。实验二检验语境信息在习语处理中的作用，以及在处理过程中语境如何与词汇信息相互作用。我们发现有证据表明字面计算在习语意义检索中起因果作用，并且语境、词汇和结构信息在处理的早期阶段影响习语字符串的处理，这为习语理解领域的习语表征混合模型提供了支持。
