ArticleBehavior research methods2024
The "Small World of Words" free association norms for Rioplatense Spanish.
Article in Behavior research methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed.
- Automatic quantification of lexical ambiguity using large-scale word association data.Behavior research methods · 2026Article
- Affective norms for texts in Rioplatense Spanish (ANET-RS): Adaptation and cross-cultural variations in emotional explicitness, gender, and age.Behavior research methods · 2026Article
- Iconicity as an organizing principle of the lexicon.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Moral Association Graph: A Cognitive Model for Automated Moral Inference.Topics in cognitive science · 2025Article
- Pupil Size Tracks the Effects of Global Context and Semantic Ambiguity on Word-Meaning Processing.Journal of cognition · 2025Article
- Free Association Database for a 62-Word Dataset Including Emotion and Colour Terms in English, Estonian, French, German, Italian, Lithuanian, and Spanish: Data from 14 Countries.Journal of open psychology data · 2025Article
- A large-scale database of Mandarin Chinese word associations from the Small World of Words Project.Behavior research methods · 2024Article
- The Pandemic in Words: Tracking Fast Semantic Changes via a Large-Scale Word Association Task.Open mind : discoveries in cognitive science · 2023Article
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4 authors.
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Abstract
Large-scale word association datasets are both important tools used in psycholinguistics and used as models that capture meaning when considered as semantic networks. Here, we present word association norms for Rioplatense Spanish, a variant spoken in Argentina and Uruguay. The norms were derived through a large-scale crowd-sourced continued word association task in which participants give three associations to a list of cue words. Covering over 13,000 words and +3.6 M responses, it is currently the most extensive dataset available for Spanish. We compare the obtained dataset with previous studies in Dutch and English to investigate the role of grammatical gender and studies that used Iberian Spanish to test generalizability to other Spanish variants. Finally, we evaluated the validity of our data in word processing (lexical decision reaction times) and semantic (similarity judgment) tasks. Our results demonstrate that network measures such as in-degree provide a good prediction of lexical decision response times. Analyzing semantic similarity judgments showed that results replicate and extend previous findings demonstrating that semantic similarity derived using spreading activation or spectral methods outperform word embeddings trained on text corpora.
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