Semantic neighbourhood density
Weban offline rating task. We manipulated the semantic neighbourhood density (SND) of the topics and vehicles in metaphors. SND was derived from the WINDSORS global word co-occurrence database and is a measure of how many near semantic neighbours a word has (Durda & Buchanan, 2008). The WINDSORS measure of SND has been recently WebWe investigated factors that might explain variation in iconicity: specifically, that concepts with sparser semantic neighbourhoods have more iconic word forms, and that concepts …
Semantic neighbourhood density
Did you know?
Websemantic set size in this research does not necessarily reflect a categorical structure notion of semantic density. Semantic set size was defined as the number of items that adults and children name as related or associated to the novel object images (which are black and white drawings of non-existent objects with no associated label; (Storkel ... WebSep 3, 2024 · SN-Density (raw) all semantic neighbours that share semantic features with the target and thus have a similarity of greater than 0 (target: peach; semantic …
WebAug 22, 2024 · There is consensus that word retrieval starts with activation of semantic representations. However, in adults without language impairment, relatively little attention has been paid to the effects of the semantic attributes of to-be-retrieved words. This paper, therefore, addresses the question of wh …
WebJul 18, 2024 · In Experiment 1, six different semantic neighbourhood density measures were compared using principal component analysis. Four different semantic neighbourhood … WebOct 1, 2024 · This can be seen through investigations of the influence of “semantic neighbourhood density” (the number of words that are close in meaning to a given target) that has not been shown to predict picture naming behaviour in unimpaired subjects (for a review, see Hameau, Nickels, & Biedermann, 2024).
WebSep 6, 2024 · Semantic neighbourhood density and similarity as continuous variables were used to assess lexical selection for which competitive and noncompetitive mechanisms …
WebNov 18, 2010 · Semantic feature production norms for a large set of living and nonliving things. Behavior Research Methods, 37, 547–559. Article PubMed Google Scholar Mirman, D., & Magnuson, J. S. (2008). Attractor dynamics and semantic neighborhood density: Processing is slowed by near neighbors and speeded by distant neighbors. イルビゾンテ 二つ折り 札入れWebNov 22, 2024 · This research investigated how word production is influenced by six feature-based semantic variables (number of semantic features, intercorrelational density, number of near semantic... イルビゾンテ 名入れ 店舗WebSEMANTIC EFFECTS IN WORD RECOGNITION iv ABSTRACT According to data from three tasks, Danguecan & Buchanan (2014) demonstrated that semantic neighbourhood density (SND; Buchanan, Westbury, & Burgess, 2001) interacts with concreteness to influence visual word recognition response times (RTs). イルビゾンテ 二つ折り財布 ブルーWeba higher local semantic similarity (or neighbourhood density) to a novel referent is more likely to attract that item, and when this process repeats over time chain-like category structures may result in semantic space. Here, wrong has a higher neighbourhood density (with its noun 3. pa childline reporting portalWebJun 11, 2024 · In Experiment 1, six different semantic neighbourhood density measures were compared using principal component analysis. Four different semantic … pa child pacWebApr 10, 2024 · Density-based clustering aims to find groups of similar objects (i.e., clusters) in a given dataset. Applications include, e.g., process mining and anomaly detection. It comes with two user parameters (ε, MinPts) that determine the clustering result, but are typically unknown in advance. Thus, users need to interactively test various settings until … pa child portalWebSemantic neighbourhood density is a measure that captures the degree of semantic relationship between words in semantic memory (Buchanan et al., 2001). This variable has been shown to influence language processing, but it has not been studied in the context of episodic memory (Buchanan et al., 2001; Danguecan & Buchanan, 2016). pa child line statute