Effects of semantic neighborhood density in abstract and concrete words.
Effects of semantic neighborhood density in abstract and concrete words.
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DOI：
10.1016/j.cognition.2017.08.004
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发表时间：
2017-12
期刊：
影响因子：
3.4
通讯作者：
Desai RH
中科院分区：
文献类型：
--
作者：
Reilly M;Desai RH
具体词汇和抽象词汇被认为在几个心理语言学变量上有所不同，比如频率和情感内容。在这里，我们考虑另一个变量，语义邻域密度，它受到的关注少得多，可能是因为抽象词的语义邻域难以测量。使用基于语料库的方法创建强调特征信息的单词表示，本研究探索了大量英语名词中邻域密度和具体性之间的关系。两个重要的观察结果出现了。首先，即使考虑到其他变量，特别是较小的邻域大小，具体词的语义邻域密度也比抽象词高。其次，语义邻域密度对具体词和抽象词行为的影响是不同的。近邻稀疏的单词的词汇决策反应时间最快；然而，这种效应对于具体词汇比对抽象词汇更强。这些结果表明，语义邻域密度在具体词和抽象词的认知和心理语言学差异中起着重要作用，在词汇语义学研究中应予以考虑。此外，当前基于特征的邻域度量的结果模式与关联定义邻域的结果模式非常不同，这表明这两种方法应该被视为独立的度量，而不是两个可互换的语义邻域度量。
Concrete and abstract words are thought to differ along several psycholinguistic variables, such as frequency and emotional content. Here, we consider another variable, semantic neighborhood density, which has received much less attention, likely because semantic neighborhoods of abstract words are difficult to measure. Using a corpus-based method that creates representations of words that emphasize featural information, the current investigation explores the relationship between neighborhood density and concreteness in a large set of English nouns. Two important observations emerge. First, semantic neighborhood density is higher for concrete than for abstract words, even when other variables are accounted for, especially for smaller neighborhood sizes. Second, the effects of semantic neighborhood density on behavior are different for concrete and abstract words. Lexical decision reaction times are fastest for words with sparse neighborhoods; however, this effect is stronger for concrete words than for abstract words. These results suggest that semantic neighborhood density plays a role in the cognitive and psycholinguistic differences between concrete and abstract words, and should be taken into account in studies involving lexical semantics. Furthermore, the pattern of results with the current feature-based neighborhood measure is very different from that with associatively defined neighborhoods, suggesting that these two methods should be treated as separate measures rather than two interchangeable measures of semantic neighborhoods.
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