Semantic feature production norms provide many quantitative measures of different feature and concept variables that are necessary to solve some debates surrounding the nature of the organization, both normal and pathological, of semantic memory. Despite the current existence of norms for different languages, there are still no published norms in Spanish. This article presents a new set of norms collected from 810 participants for 400 living and nonliving concepts among Spanish speakers. These norms consist of empirical collections of features that participants used to describe the concepts. Four files were elaborated: a concept-feature file, a concept-concept matrix, a feature-feature matrix, and a significantly correlated features file. We expect that these norms will be useful for researchers in the fields of experimental psychology, neuropsychology, and psycholinguistics.
The processes tapped by the widely-used word association (WA) paradigm remain a matter of debate: while some authors consider them as driven by lexical co-occurrences, others emphasize the role of meaning-based connections. To test these contrastive hypotheses, we analyzed responses in a WA task in terms of their normative defining features (those describing the object denoted by the cue word). Results indicate that 72.5% of the responses had medium-to-high coincidence with such defining semantic features. Moreover, 75.51% of responses had medium-to-high values of Relevance (a measure of the importance of the feature for construing a given concept). Furthermore, most responses (62.7%) referred to elements of the situation in which the concept usually appears, followed by sensory properties (e.g., color) of the denoted object (27.86%). These results suggest that the processes behind WA tasks involve a reactivation of the cue item's semantic properties, particularly those most relevant to its core meaning.
A saw is first identified as an object used on wood: ERP evidence for temporal differences between thematic and functional similarity relations. Neuropsychologia, 71,[28][29][30][31][32][33][34][35][36][37]
Post stroke brain damage can affect the semantic system. This happens particularly in aphasic patients. The aim of this paper is to analyze in such patients the processing of two types of conceptual relations: taxonomic and thematic. We administered a series of tasks to assess the ability to establish and recognize conceptual rela-Análisis del procesamiento de relaciones conceptuales en pacientes con afasia
Analysis of Conceptual Relation Processing in Aphasic PatientsAnálise do processamento de relações conceituais em pacientes com afasia
RESUMENDos líneas de teorías estudian la organización del conocimiento conceptual: las holísticas y las de rasgos. El objetivo de este trabajo es presentar dos métodos informatizados de captura y análisis de redes semánticas, el Natural Finder y el Definition Finder, que responden a estos modelos respectivamente. El primero es un procedimiento recursivo para capturar a partir de un concepto disparador la red semántica natural de una persona en torno a dicho concepto; el segundo permite obtener el conjunto de atributos ponderados que mejor definen a un concepto para un colectivo social. Se presentan ejemplos de su aplicación.
PALABRAS CLAVE:Red semántica. Métodos de exploración. Natural finder. Definition finder.
ABSTRACTTwo types of theories address the organization of conceptual knowledge: holistic and featurebased. The aim of this paper is to present two computerized methods to capture and analyze semantic networks, the Natural Finder and the Definition Finder, which belong to these models respectively. The first is a recursive procedure to capture the natural semantic network of a person around a target concept; the second shows as a result the set of weighted defining features for certain concept given by a social group. Examples of its application are presented.KEYWORDS: Semantic network. Exploration methods.; natural finder.; definition finder. Modelos de memoria semántica.Esta obra está licenciada sob uma Licença Creative Commons.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.