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The 'Small World of Words' English word association norms for over 12,000 cue words

(2019) BEHAVIOR RESEARCH METHODS. 51(3). p.987-1006
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Abstract
Word associations have been used widely in psychology, but the validity of their application strongly depends on the number of cues included in the study and the extent to which they probe all associations known by an individual. In this work, we address both issues by introducing a new English word association dataset. We describe the collection of word associations for over 12,000 cue words, currently the largest such English-language resource in the world. Our procedure allowed subjects to provide multiple responses for each cue, which permits us to measure weak associations. We evaluate the utility of the dataset in several different contexts, including lexical decision and semantic categorization. We also show that measures based on a mechanism of spreading activation derived from this new resource are highly predictive of direct judgments of similarity. Finally, a comparison with existing English word association sets further highlights systematic improvements provided through these new norms.
Keywords
Word associations, Mental lexicon, Networks, Similarity, Spreading activation, SEMANTIC NETWORKS, BAYES FACTORS, LARGE SET, BRAIN, SCALE, REPRESENTATIONS, CATEGORIES, STRENGTH, DATABASE, MODELS

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Citation

Please use this url to cite or link to this publication:

MLA
De Deyne, Simon, et al. “The ‘Small World of Words’ English Word Association Norms for over 12,000 Cue Words.” BEHAVIOR RESEARCH METHODS, vol. 51, no. 3, 2019, pp. 987–1006.
APA
De Deyne, S., Navarro, D. J., Perfors, A., Brysbaert, M., & Storms, G. (2019). The “Small World of Words” English word association norms for over 12,000 cue words. BEHAVIOR RESEARCH METHODS, 51(3), 987–1006.
Chicago author-date
De Deyne, Simon, Danielle J. Navarro, Amy Perfors, Marc Brysbaert, and Gert Storms. 2019. “The ‘Small World of Words’ English Word Association Norms for over 12,000 Cue Words.” BEHAVIOR RESEARCH METHODS 51 (3): 987–1006.
Chicago author-date (all authors)
De Deyne, Simon, Danielle J. Navarro, Amy Perfors, Marc Brysbaert, and Gert Storms. 2019. “The ‘Small World of Words’ English Word Association Norms for over 12,000 Cue Words.” BEHAVIOR RESEARCH METHODS 51 (3): 987–1006.
Vancouver
1.
De Deyne S, Navarro DJ, Perfors A, Brysbaert M, Storms G. The “Small World of Words” English word association norms for over 12,000 cue words. BEHAVIOR RESEARCH METHODS. 2019;51(3):987–1006.
IEEE
[1]
S. De Deyne, D. J. Navarro, A. Perfors, M. Brysbaert, and G. Storms, “The ‘Small World of Words’ English word association norms for over 12,000 cue words,” BEHAVIOR RESEARCH METHODS, vol. 51, no. 3, pp. 987–1006, 2019.
@article{8647813,
  abstract     = {Word associations have been used widely in psychology, but the validity of their application strongly depends on the number of cues included in the study and the extent to which they probe all associations known by an individual. In this work, we address both issues by introducing a new English word association dataset. We describe the collection of word associations for over 12,000 cue words, currently the largest such English-language resource in the world. Our procedure allowed subjects to provide multiple responses for each cue, which permits us to measure weak associations. We evaluate the utility of the dataset in several different contexts, including lexical decision and semantic categorization. We also show that measures based on a mechanism of spreading activation derived from this new resource are highly predictive of direct judgments of similarity. Finally, a comparison with existing English word association sets further highlights systematic improvements provided through these new norms.},
  author       = {De Deyne, Simon and Navarro, Danielle J. and Perfors, Amy and Brysbaert, Marc and Storms, Gert},
  issn         = {1554-351X},
  journal      = {BEHAVIOR RESEARCH METHODS},
  keywords     = {Word associations,Mental lexicon,Networks,Similarity,Spreading activation,SEMANTIC NETWORKS,BAYES FACTORS,LARGE SET,BRAIN,SCALE,REPRESENTATIONS,CATEGORIES,STRENGTH,DATABASE,MODELS},
  language     = {eng},
  number       = {3},
  pages        = {987--1006},
  title        = {The 'Small World of Words' English word association norms for over 12,000 cue words},
  url          = {http://dx.doi.org/10.3758/s13428-018-1115-7},
  volume       = {51},
  year         = {2019},
}

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