KU Leuven, Leuven, Belgium.
University of Melbourne, Melbourne, Australia.
Behav Res Methods. 2020 Jun;52(3):1108-1121. doi: 10.3758/s13428-019-01303-4.
The research of the word is still very much the research of the noun. Adjectives have been largely overlooked, despite being the second-largest word class in many languages and serving an important communicative function, because of the rich, nuanced qualifications they afford. Adjectives are also ideally suited to study the interface between cognition and emotion, as they naturally cover the entire range of lexicosemantic variables such as imageability (infinite-green), and affective variables such as valence (sad-happy). We illustrate this by showing how the centrality of words in the mental lexicon varies as a function of the words' affective dimensions, using newly collected norms for 1,000 Dutch adjectives. The norms include the lexicosemantic variables age of acquisition, familiarity, concreteness, and imageability; the affective variables valence, arousal, and dominance; and a variety of distributional variables, including network statistics resulting from a large-scale word association study. The norms are freely available from https://osf.io/nyg8v/, for researchers studying adjectives specifically or for whom adjectives constitute convenient stimuli to study other topics, such as vagueness, inference, spatial cognition, or affective word processing.
目前对于词汇的研究仍然主要集中在名词上。尽管形容词在许多语言中是第二大词类,并且具有重要的交际功能,但由于它们提供了丰富而微妙的条件,因此在很大程度上被忽视了。形容词也非常适合研究认知和情感之间的接口,因为它们自然涵盖了词汇语义变量的整个范围,例如可想象性(无限绿色),以及情感变量,如情感度(悲伤-快乐)。我们通过展示词汇在心理词汇中的中心性如何随词的情感维度而变化来说明这一点,使用了新收集的 1000 个荷兰形容词的规范。这些规范包括词汇语义变量习得年龄、熟悉度、具体性和可想象性;情感变量情感度、唤醒度和支配度;以及各种分布变量,包括来自大规模词汇联想研究的网络统计数据。这些规范可在 https://osf.io/nyg8v/ 上免费获取,供专门研究形容词的研究人员使用,或供那些将形容词作为研究其他主题的便利刺激物使用,例如模糊性、推理、空间认知或情感词处理。