A data-driven approach to the semantics of iconicity in American Sign Language and English
A data-driven approach to the semantics of iconicity in American Sign Language and English
复制标题
美国手语和英语中象似语义的数据驱动方法
DOI：
10.1017/langcog.2019.52
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发表时间：
2020
影响因子：
1.8
通讯作者：
EMMOREY, KAREN
中科院分区：
文献类型：
--
作者：
THOMPSON, BILL;PERLMAN, MARCUS;LUPYAN, GARY;SEVCIKOVA SEHYR, ZED;EMMOREY, KAREN
越来越多的研究表明，手语和口语在词汇中都表现出规律性的象似性。我们比较了美国手语（ASL）和英语词汇中的象似性，方法是将之前收集的ASL符号（Caselli，Sevcikova Sehyr，Cohen-Goldberg，& Emmorey，2017）和英语单词（Winter，Perlman，佩里，& Lupyan，2017）的评分与来自英语的数据驱动语义向量相结合。我们的分析表明，从大型文本语料库中提取的口语词汇语义模型可以用于预测符号和单词的象似性。与英语相比，美国手语有更多的语义空间区域，集中了高度标志性的词汇。语义密度与英语词汇和手语符号的象似性总体上呈负相关。这种负面关系消失了高度图标的迹象，这表明图标形式可能更容易区分在美国手语比英语。我们的研究结果有助于更详细地了解象似性在不同语言中的分布情况。
A growing body of research shows that both signed and spoken languages display regular patterns of iconicity in their vocabularies. We compared iconicity in the lexicons of American Sign Language (ASL) and English by combining previously collected ratings of ASL signs (Caselli, Sevcikova Sehyr, Cohen-Goldberg, & Emmorey, 2017) and English words (Winter, Perlman, Perry, & Lupyan, 2017) with the use of data-driven semantic vectors derived from English. Our analyses show that models of spoken language lexical semantics drawn from large text corpora can be useful for predicting the iconicity of signs as well as words. Compared to English, ASL has a greater number of regions of semantic space with concentrations of highly iconic vocabulary. There was an overall negative relationship between semantic density and the iconicity of both English words and ASL signs. This negative relationship disappeared for highly iconic signs, suggesting that iconic forms may be more easily discriminable in ASL than in English. Our findings contribute to an increasingly detailed picture of how iconicity is distributed across different languages.
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影响因子：
3.8
作者：
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通讯作者：
Goldin-Meadow S
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Perry LK;Perlman M;Lupyan G
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Lupyan G
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