Suppr超能文献

英语单词的表面形式和感官意义之间的统计关系影响词汇处理。

Statistical relationships between surface form and sensory meanings of English words influence lexical processing.

机构信息

Faculty of Health, School of Psychology and Counselling, Queensland University of Technology (QUT).

Department of Speech, Language, and Hearing Sciences, Boston University.

出版信息

J Exp Psychol Hum Percept Perform. 2024 Jul;50(7):723-739. doi: 10.1037/xhp0001209. Epub 2024 May 6.

Abstract

Across spoken languages, there are some words whose acoustic features resemble the meanings of their referents by evoking perceptual imagery, i.e., they are iconic (e.g., in English, "splash" imitates the sound of an object hitting water). While these sound symbolic form-meaning relationships are well-studied, relatively little work has explored whether the sensory properties of English words also involve systematic (i.e., statistical) form-meaning mappings. We first test the prediction that surface form properties can predict sensory experience ratings for over 5,000 monosyllabic and disyllabic words (Juhasz & Yap, 2013), confirming they explain a significant proportion of variance. Next, we show that iconicity and sensory form typicality, a statistical measure of how well a word's form aligns with its sensory experience rating, are only weakly related to each other, indicating they are likely to be distinct constructs. To determine whether form typicality influences processing of sensory words, we conducted regression analyses using lexical decision, word recognition, naming and semantic decision tasks from behavioral megastudy data sets. Across the data sets, sensory form typicality was able to predict more variance in performance than sensory experience or iconicity ratings. Further, the effects of typicality were consistently inhibitory in comprehension (i.e., more typical forms were responded to more slowly and less accurately), whereas for production the effect was facilitatory. These findings are the first evidence that systematic form-meaning mappings in English sensory words influence their processing. We discuss how language processing models incorporating Bayesian prediction mechanisms might be able to account for form typicality in the lexicon. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

摘要

在各种口语中,有些单词的声学特征通过唤起感知意象,与它们所指的意义相似,即它们是象声词(例如,在英语中,“splash”模仿物体撞击水的声音)。虽然这些声音象征形式与意义的关系已经得到了很好的研究,但相对较少的工作探讨了英语单词的感官属性是否也涉及系统(即统计)的形式与意义的映射。我们首先检验了这样一个预测,即表面形式属性可以预测超过 5000 个单音节和双音节单词的感官体验评分(Juhasz & Yap,2013),这证实了它们可以解释很大一部分的方差。接下来,我们表明,象似性和感官形式典型性(一种衡量单词形式与其感官体验评分吻合程度的统计量)之间的关系较弱,这表明它们可能是不同的构念。为了确定形式典型性是否会影响对感官词的处理,我们使用来自行为巨量研究数据集的词汇判断、单词识别、命名和语义判断任务进行了回归分析。在整个数据集上,感官形式典型性能够预测更多的性能变化,而不是感官体验或象似性评分。此外,典型性的影响在理解中是一致的抑制作用(即,更典型的形式反应更慢且更不准确),而在产生中则是促进作用。这些发现是第一个证据,表明英语感官词中的系统形式与意义的映射会影响它们的处理。我们讨论了如何将包含贝叶斯预测机制的语言处理模型纳入词汇中,以解释形式典型性。(PsycInfo 数据库记录(c)2024 APA,保留所有权利)。

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