Word associations: Network and semantic properties
Word associations: Network and semantic properties
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DOI：
10.3758/brm.40.1.213
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发表时间：
2008-02-01
影响因子：
5.4
通讯作者：
Storms, Gert
中科院分区：
文献类型：
--
作者：
De Deyne, Simon;Storms, Gert
一个连续的任务中产生的字联想的一些属性，进行了调查。首先，我们考察了联想线索和反应中的词类对应关系。名词是情态词类反应，与线索的词类无关，表明聚合反应风格占主导地位。其次，利用词的联想数据构建联想网络，考察节点的中心性。对节点中心性的研究表明，网络中的中心节点往往是高频率和早期获得。研究了关联网络的小世界性质，并与一个大型英语关联网络进行了比较（Steyvers & Tenenbaum，2005）。基于多重关联过程的网络显示出小世界属性，尽管比基于离散任务的网络更密集。最后，一个语义分类法被用来调查的语义类型的组合在联想反应。大多数的反应是主题相关的情况下的反应和实体反应，涉及部件，形状或颜色。由于联想任务需要多个反应的线索，生成位置和语义角色之间的相互作用可以调查和讨论的自然概念表征的最新理论的框架（Barsalou，桑托斯，西蒙斯，和威尔逊，在出版）。
A number of properties of word associations, generated in a continuous task, were investigated. First, we investigated the correspondence of word class in association cues and responses. Nouns were the modal word class response, regardless of the word class of the cue, indicating a dominant paradigmatic response style. Next, the word association data were used to build an associative network to investigate the centrality of nodes. The study of node centrality showed that central nodes in the network tended to be highly frequent and acquired early. Small-world properties of the association network were investigated and compared with a large English association network (Steyvers & Tenenbaum, 2005). Networks based on a multiple association procedure showed small-world properties despite being denser than networks based on a discrete task. Finally, a semantic taxonomy was used to investigate the composition of semantic types in association responses. The majority of responses were thematically related situation responses and entity responses referring to parts, shape, or color. Since the association task required multiple responses per cue, the interaction between generation position and semantic role could be investigated and discussed in the framework of recent theories of natural concept representations (Barsalou, Santos, Simmons, & Wilson, in press).