Suppr超能文献

丰富性会失去其光彩吗?大量练习对视觉单词识别中语义丰富性的影响。

Does richness lose its luster? Effects of extensive practice on semantic richness in visual word recognition.

作者信息

Hargreaves Ian S, Pexman Penny M

机构信息

Department of Psychology, University of Calgary Calgary, AB, Canada.

出版信息

Front Hum Neurosci. 2012 Aug 14;6:234. doi: 10.3389/fnhum.2012.00234. eCollection 2012.

Abstract

Previous studies have reported facilitatory effects of semantic richness on word recognition (e.g., Yap et al., 2012). These effects suggest that word meaning is an important contributor to lexical decision task (LDT) performance, but what are the effects of repeated LDT practice on these semantic contributions? The current study utilized data from the British Lexicon Project (BLP) in which 78 participants made lexical decision judgments for 28,730 words over 16 h. We used linear mixed effects to detect practice-driven changes in the explanatory variance accounted for by a set of lexical predictors that included numerous indices of relative semantic richness, including imageability, the number of senses and average radius of co-occurrence (ARC). Results showed that practice was associated with decreasing effects of predictors such as word frequency and imageability. In contrast, ARC effects were only slightly diminished with repeated practice, and effects of the number of senses and the age of acquisition were unaffected by practice. We interpret our results within a framework in which variables may dynamically influence lexical processing and the post-lexical decision making mechanisms that also contribute to LDT performance.

摘要

先前的研究报告了语义丰富性对单词识别的促进作用(例如,Yap等人,2012年)。这些效应表明单词意义是词汇判断任务(LDT)表现的一个重要因素,但是重复进行LDT练习对这些语义因素有什么影响呢?当前的研究使用了来自英国词汇项目(BLP)的数据,其中78名参与者在16小时内对28730个单词进行了词汇判断。我们使用线性混合效应来检测由一组词汇预测变量所解释的方差中由练习驱动的变化,这些预测变量包括相对语义丰富性的众多指标,如可想象性、意义数量和共现平均半径(ARC)。结果表明,练习与单词频率和可想象性等预测变量的效应降低有关。相比之下,ARC效应仅随着重复练习略有减弱,意义数量和习得年龄的效应不受练习影响。我们在一个框架内解释我们的结果,在这个框架中,变量可能动态地影响词汇加工以及也对LDT表现有贡献的词汇后决策机制。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验