南佛罗里达大学自由联想,押韵和词片段规范。

Douglas L Nelson, Cathy L McEvoy, Thomas A Schreiber
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引用次数: 2146

摘要

在许多认知任务中需要访问预先存在的单词知识,本文提供了一种对这些知识进行索引的方法,以便对其进行操作或控制。我们提供72,000个词对的免费关联数据,以及超过100万条的相关数据,如前向和后向强度、竞争关联数、打印频率等。一个单独的文件包含5,019个规范化单词、它们的统计数据以及数千个独立规范化的押韵、词干和片段线索。其他文件为超过4,000个单词提供n x n个关联网络,以及每个规范单词的特殊响应列表。该数据库将对线索、启动、识别、网络理论、语言学和内隐测试应用感兴趣的研究人员有用。它们还将有助于评估自由关联概率的预测价值,并与其他度量(如相似性评级和共现规范)进行比较。有几种方法可以测量两个词之间预先存在的强度,最好的方法还有待确定。这些规范可从www.psychonomic.org/archive/下载。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The University of South Florida free association, rhyme, and word fragment norms.

Preexisting word knowledge is accessed in many cognitive tasks, and this article offers a means for indexing this knowledge so that it can be manipulated or controlled. We offer free association data for 72,000 word pairs, along with over a million entries of related data, such as forward and backward strength, number of competing associates, and printed frequency. A separate file contains the 5,019 normed words, their statistics, and thousands of independently normed rhyme, stem, and fragment cues. Other files provide n x n associative networks for more than 4,000 words and a list of idiosyncratic responses for each normed word. The database will be useful for investigators interested in cuing, priming, recognition, network theory, linguistics, and implicit testing applications. They also will be useful for evaluating the predictive value of free association probabilities as compared with other measures, such as similarity ratings and co-occurrence norms. Of several procedures for measuring preexisting strength between two words, the best remains to be determined. The norms may be downloaded from www.psychonomic.org/archive/.

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