Rabovsky Milena, Schad Daniel J, Abdel Rahman Rasha
Department of Psychology, Humboldt-Universität zu Berlin, Germany.
Charité, Universitätsmedizin Berlin, Germany.
Cognition. 2016 Jan;146:240-4. doi: 10.1016/j.cognition.2015.09.016. Epub 2015 Nov 9.
Communicating meaningful messages is the ultimate goal of language production. Yet, verbal messages can differ widely in the complexity and richness of their semantic content, and such differences should strongly modulate conceptual and lexical encoding processes during speech planning. However, despite the crucial role of semantic content in language production, the influence of this variability is currently unclear. Here, we investigate influences of the number of associated semantic features and intercorrelational feature density on language production during picture naming. While the number of semantic features facilitated naming, intercorrelational feature density inhibited naming. Both effects follow naturally from the assumption of conceptual facilitation and simultaneous lexical competition. They are difficult to accommodate with language production theories dismissing lexical competition.
传递有意义的信息是语言生成的最终目标。然而，言语信息在语义内容的复杂性和丰富性上可能有很大差异，并且这种差异在言语规划过程中应该会强烈调节概念和词汇编码过程。然而，尽管语义内容在语言生成中起着关键作用，但这种变异性的影响目前尚不清楚。在这里，我们研究了相关语义特征的数量和相互关联特征密度对图片命名过程中语言生成的影响。虽然语义特征的数量促进了命名，但相互关联特征密度抑制了命名。这两种效应都自然地源于概念促进和同时存在的词汇竞争的假设。它们很难与忽视词汇竞争的语言生成理论相契合。
