School of Education, Communication & Language Sciences, Newcastle University, King George VI Building, Queen Victoria Road, Newcastle upon Tyne, NE1 7RU, UK.
Behav Res Methods. 2011 Jun;43(2):424-40. doi: 10.3758/s13428-010-0051-y.
The aim of the present study was to expand the scope of category norm and typicality data to include verbs for use when investigating semantic memory in fields such as linguistics, psychology, and aphasiology. Two experiments were conducted. In the first, participants were asked to list verbs within 10 semantic categories (e.g. breaking, cleaning, cooking, etc.) and 10 noun categories (e.g. animals, fruit, tools, etc.). In the second experiment, participants were asked to rate the typicality of verbs within 8 of the previously investigated verb categories. Although participants listed fewer verbs in verb categories than nouns in noun categories, the overall patterns with regard to correlation analyses between production frequency, mean rank of responses, lexical frequency, and typicality were consistent with those observed in noun categories. These patterns are also consistent with those observed in previous research. Potential similarities and differences between nouns and verbs, as well as future applications of such data, are discussed.
本研究的目的是扩展类别规范和典型性数据的范围，将动词纳入语言学、心理学和失语学等领域的语义记忆研究中。进行了两项实验。在第一项实验中，要求参与者列出 10 个语义类别（如打破、清洁、烹饪等）和 10 个名词类别（如动物、水果、工具等）内的动词。在第二项实验中，要求参与者对之前调查的 8 个动词类别中的动词的典型性进行评分。尽管参与者在动词类别中列出的动词比名词类别中列出的名词少，但在与产生频率、平均响应等级、词汇频率和典型性的相关分析之间的总体模式与在名词类别中观察到的模式一致。这些模式也与之前的研究一致。讨论了名词和动词之间的潜在相似点和差异，以及此类数据的未来应用。
