Martínez Gonzalo, Conde Javier, Reviriego Pedro, Brysbaert Marc
Universidad Carlos III de Madrid, Leganés, Madrid, Spain.
ETSI de Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain.
Q J Exp Psychol (Hove). 2024 Dec 24:17470218241306694. doi: 10.1177/17470218241306694.
This study investigates whether estimates of familiarity, valence, arousal, and concreteness based on artificial intelligence (AI) are useful alternatives to word counts and human ratings in Spanish. We replicate and extend previous findings in English and show that GPT-4o is effective in estimating these word features. Validity checks even suggest that AI-generated estimates sometimes outperform traditional measurements. The ability to generate AI estimates for large numbers of words at low cost simplifies the process of obtaining word features and provides a new resource for researchers working in Spanish. We provide Excel lists of the collected word features, which can be freely used for research and teaching.
本研究调查了基于人工智能（AI）的熟悉度、效价、唤醒度和具体性估计是否是西班牙语中单词计数和人工评级的有用替代方法。我们复制并扩展了先前用英语得出的研究结果，表明GPT-4o在估计这些单词特征方面是有效的。效度检验甚至表明，人工智能生成的估计有时优于传统测量方法。以低成本为大量单词生成人工智能估计的能力简化了获取单词特征的过程，并为从事西班牙语研究的人员提供了一种新资源。我们提供了所收集单词特征的Excel列表，可免费用于研究和教学。
