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跨多个意义领域的语音象征的语音基础。

PHONETIC UNDERPINNINGS OF SOUND SYMBOLISM ACROSS MULTIPLE DOMAINS OF MEANING.

作者信息

Lacey Simon, Matthews Kaitlyn L, Sathian K, Nygaard Lynne C

机构信息

Department of Neurology, Milton S. Hershey Medical Center & Penn State College of Medicine, Hershey, PA 17033-0859, USA.

Department of Neural & Behavioral Sciences, Milton S. Hershey Medical Center & Penn State College of Medicine, Hershey, PA 17033-0859, USA.

出版信息

bioRxiv. 2024 Sep 3:2024.09.03.610970. doi: 10.1101/2024.09.03.610970.

Abstract

Sound symbolism occurs when the sound of a word alone can convey its meaning, e.g. 'balloon' and 'spike' sound rounded and pointed, respectively. Sound-symbolic correspondences are widespread in natural languages, but it is unclear how they are instantiated across different domains of meaning. Here, participants rated auditory pseudowords on opposing scales of seven different sound-symbolic domains: shape (rounded-pointed), texture (hard-soft), weight (light-heavy), size (small-big), brightness (bright-dark), arousal (calming-exciting), and valence (good-bad). Ratings showed cross-domain relationships, some mirroring those between corresponding physical domains, e.g. size and weight ratings were associated, reflecting a physical size-weight relationship, while others involved metaphorical mappings, e.g., bright/dark mapped onto good/bad, respectively. The phonetic features of the pseudowords formed unique sets with characteristic feature weightings for each domain and tended to follow the cross-domain ratings relationships. These results suggest that sound-symbolic correspondences rely on domain-specific patterns of phonetic features, with cross-domain correspondences reflecting physical or metaphorical relationships.

摘要

当一个词的发音本身就能传达其含义时,就会出现语音象征现象,例如,“气球(balloon)”和“尖状物(spike)”的发音分别给人圆润和尖锐的感觉。语音象征对应关系在自然语言中广泛存在,但尚不清楚它们在不同语义领域是如何体现的。在这里,参与者在七个不同的语音象征领域的相反量表上对听觉伪词进行评分:形状(圆润 - 尖锐)、质地(硬 - 软)、重量(轻 - 重)、大小(小 - 大)、亮度(亮 - 暗)、唤醒度(平静 - 刺激)和效价(好 - 坏)。评分显示出跨领域关系,有些反映了相应物理领域之间的关系,例如大小和重量评分相关,反映了物理上的大小 - 重量关系,而其他关系则涉及隐喻映射,例如,亮/暗分别映射到好/坏。伪词的语音特征为每个领域形成了具有特征权重的独特集合,并且倾向于遵循跨领域评分关系。这些结果表明,语音象征对应关系依赖于特定领域的语音特征模式,跨领域对应关系反映了物理或隐喻关系。

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