两种方法比一种更好:结合象似性评级和猜测实验,以更细致地了解词汇中的象似性

IF 1.1 3区 心理学 0 LANGUAGE & LINGUISTICS Language and Cognition Pub Date : 2023-04-11 DOI:10.1017/langcog.2023.9
Bonnie McLean, Michael Dunn, Mark Dingemanse
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引用次数: 0

摘要

语言中的象似性正受到许多领域的关注,但我们对象似性的理解取决于我们量化象似性的方法。我们从说英语的参与者那里收集了304个日语单词的象似性测量,使用评级和猜测任务。这些单词包括表意词(结构上标记的描述性单词)以及来自类似语义域的常规词汇(例如,fuwafuwa“蓬松”,jawarakai“柔软”)。这两项措施相互关联,说明了它们的有效性。然而,表意词获得的象似性评分始终高于其他物品,即使猜测的准确率相同,这表明评级任务对结构标记等线索更为敏感,这些线索将单词定义为象似性。在猜测任务中,这些线索并不总能引导参与者了解意指音的含义,但它们确实使他们对自己的猜测更有信心,即使他们猜错了。持续较差的猜测结果反映了不同的经历在塑造象似性识解中所起的作用。同时使用多种测量方法可以让我们探索象似性与这些外部因素之间的相互作用。为了促进这一点,我们引入了一个可重复的工作流程,用于从标准化词表中创建评级和猜测任务,同时也改进了以前方法的鲁棒性、灵敏度和可辨别性。
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Two measures are better than one: combining iconicity ratings and guessing experiments for a more nuanced picture of iconicity in the lexicon
Abstract Iconicity in language is receiving increased attention from many fields, but our understanding of iconicity is only as good as the measures we use to quantify it. We collected iconicity measures for 304 Japanese words from English-speaking participants, using rating and guessing tasks. The words included ideophones (structurally marked depictive words) along with regular lexical items from similar semantic domains (e.g., fuwafuwa ‘fluffy’, jawarakai ‘soft’). The two measures correlated, speaking to their validity. However, ideophones received consistently higher iconicity ratings than other items, even when guessed at the same accuracies, suggesting the rating task is more sensitive to cues like structural markedness that frame words as iconic. These cues did not always guide participants to the meanings of ideophones in the guessing task, but they did make them more confident in their guesses, even when they were wrong. Consistently poor guessing results reflect the role different experiences play in shaping construals of iconicity. Using multiple measures in tandem allows us to explore the interplay between iconicity and these external factors. To facilitate this, we introduce a reproducible workflow for creating rating and guessing tasks from standardised wordlists, while also making improvements to the robustness, sensitivity and discriminability of previous approaches.
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CiteScore
4.20
自引率
0.00%
发文量
34
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