Department of Psychology, University of Alberta, P220 Biological Sciences Building, Edmonton, AB, T6G 2E9, Canada.
Psychon Bull Rev. 2022 Aug;29(4):1461-1471. doi: 10.3758/s13423-022-02072-6. Epub 2022 Mar 22.
One major question in the study of metaphors historically is: Are different mechanisms involved in the comprehension of figurative statements versus literal statements? Many studies have addressed this question from a variety of perspectives, with mixed results. Following Harati, Westbury, and Kiaee (Behavior Research Methods, 53, 2214-2225, 2021), we use a computational (word embedding) model of semantics to approach the question in a way that allows for the quantification of the semantic relationship between the two keywords in literal and metaphorical "x is a y" statements. We first demonstrate that almost all literal statements (95.2% of 582 statements we considered) have very high relatedness values. We then show that literality decisions are slower for literal statements with low relatedness and metaphorical statements with high relatedness. We find a similar but smaller effect attributable to the cosine of the vectors representing the two keywords. The fact that the same measurable characteristics allow us to predict which metaphors or literal sentences will have the slowest literality decision times suggests that the same processes underlie the comprehension of both literal and metaphorical statements.
理解比喻句和字面句所涉及的机制是否不同?许多研究从不同的角度探讨了这个问题,但结果不一。我们遵循 Harati、Westbury 和 Kiaee(《行为研究方法》,53,2214-2225,2021)的观点,使用语义的计算(词嵌入)模型,以一种可以量化字面和隐喻“x 是 y”语句中两个关键词之间语义关系的方式来解决这个问题。我们首先证明,几乎所有的字面句(我们考虑的 582 个句子中有 95.2%)都具有非常高的相关性值。然后,我们表明,相关度低的字面句和相关度高的隐喻句的字面性决策速度较慢。我们发现,同样的但较小的效应归因于代表两个关键词的向量的余弦。事实上,相同的可测量特征使我们能够预测哪些隐喻或字面句子将具有最慢的字面性决策时间,这表明字面句和隐喻句的理解都基于相同的过程。