In conceptual combinations such as peeled apples, two kinds of features are potentially accessible: phrase features and noun features. Phrase features are true only of the phrase (e.g., "white"), whereas noun features are true of both the phrase and the head noun (e.g., "round"). When people comprehend such combinations, phrase features are verified more quickly and more accurately than noun features. We examine relevance as an explanation for this phrase feature superiority. If relevance is the critical factor, then contexts that explicitly make noun features relevant and phrase features irrelevant should reverse the phrase feature superiority (i.e., they should make noun features easier to verify than phrase features). Consistent with the relevance hypothesis, brief contexts that made noun features relevant also made those noun features more accessible than phrase features, and vice versa. We conclude that the phrase feature superiority effect is attributable to the discourse strategy of assigning relevance to modifiers in combinations, unless a context indicates otherwise.
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J Speech Lang Hear Res
January 2025
Department of Speech, Language, and Hearing Sciences, Boston University, MA.
Purpose: Following the Rehabilitation Treatment Specification System (RTSS) framework, the current study investigated the active ingredients in the modified semantic feature analysis (mSFA) targeting either noun or verb retrieval in Mandarin-English bilingual adults with aphasia (BWA).
Method: Twelve Mandarin-English BWA completed mSFA treatment for nouns and verbs. Eight of them completed both noun and verb treatment, while four completed either type of treatment.
Infancy
November 2024
Department of Psychology, Southern Methodist University, Dallas, Texas, USA.
Children's ability to identify relevant object features, such as shape, plays a key role in learning object names. However, successful attention to shape (shape bias) is dependent on other factors, including children's vocabulary size as well as opportunities for object exploration. The current study explored the combined impact of both vocabulary and object exploration on attention to shape and their cascading impact on retention of object labels.
View Article and Find Full Text PDFCan J Exp Psychol
October 2024
Department of Speech, Language, and Hearing Sciences, Purdue University.
Verbs and nouns vary in many ways-including in how they are used in language and in the timing of their early learning. We compare the distribution of semantic features that comprise early acquired verb and noun meanings and measure their effect on learning. First, couched in prior literature, we use semantic feature data to establish that features pattern on a hierarchy of complexity, with perceptual features being less complex than other features like encyclopaedic features.
View Article and Find Full Text PDFCogn Process
October 2024
Department of Politics and Communication Science, University of Salerno, via Giovanni Paolo II, 132, 84084, Fisciano, SA, Italy.
In this work, we propose a Distributional Semantic resource enriched with linguistic and lexical information extracted from electronic dictionaries. This resource is designed to bridge the gap between the continuous semantic values represented by distributional vectors and the discrete descriptions provided by general semantics theory. Recently, many researchers have focused on the connection between embeddings and a comprehensive theory of semantics and meaning.
View Article and Find Full Text PDFCognition
January 2025
Department of Linguistics, New York University, New York, NY, USA; NYUAD Research Institute, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates. Electronic address:
Understanding the computational operations involved in conceptual composition is fundamental for theories of language. However, the existing literature on this topic remains fragmented, comprising disconnected theories from various fields. For instance, while formal semantic theories in Linguistics rely on type-driven interpretation without explicitly representing the conceptual content of lexical items, neurolinguistic research suggests that the brain is sensitive to conceptual factors during word composition.
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