abstractFew studies have explored in depth the mechanisms that underlie the execution of the property generation task, in spite of its importance and wide usage. The main exception to this is Santos, Chaigneau, Simmons, and Barsalou’s (2011) research: they claim that the two mechanisms at issue are word association and situated simulation. On the basis of the Linguistic and Situated Simulation theory, these researchers assert that word association is executed by a linguistic system, whilst situated simulation is executed by a situated simulation system. From these claims, the authors derive a series of predictions concerning the types of features that would be produced in the property generation task, and the order in which those types of features would appear. Our aim was to test those predictions, using an existent property generation database in Spanish. Our results are partially in accordance with Santos et al.’s results. The main divergence is related to the behavior of taxonomic superordinate features. We examine alternative explanations to account for this discrepancy. Furthermore, we criticize Santos et al.’s conception about what counts as a linguistic feature, and analyze alternative models about this issue.

中文翻译：

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首先想到什么？属性生成任务中的特征类型和生成顺序

摘要很少有研究深入探讨属性生成任务执行的机制，尽管其重要性和广泛使用。对此的主要例外是 Santos、Chaigneau、Simmons 和 Barsalou (2011) 的研究：他们声称有争议的两种机制是词关联和情境模拟。在语言学和情境模拟理论的基础上，这些研究人员断言单词关联是由语言系统执行的，而情境模拟是由情境模拟系统执行的。从这些声明中，作者得出了一系列关于属性生成任务中将产生的特征类型以及这些特征类型出现的顺序的预测。我们的目标是测试这些预测，使用现有的西班牙语财产生成数据库。我们的结果部分符合 Santos 等人的结果。主要分歧与分类学上级特征的行为有关。我们研究了替代解释来解释这种差异。此外，我们批评了桑托斯等人关于什么是语言特征的概念，并分析了关于这个问题的替代模型。