SCOPE: The South Carolina psycholinguistic metabase
暂无分享,去创建一个
[1] Quantifying social semantics: An inclusive definition of socialness and ratings for 8388 English words. , 2022, Behavior research methods.
[2] J. Binder,et al. Decoding the information structure underlying the neural representation of concepts , 2022, Proceedings of the National Academy of Sciences.
[3] Michael J Cortese,et al. How well imageability, concreteness, perceptual strength, and action strength predict recognition memory, lexical decision, and reading aloud performance , 2021, Memory.
[4] Winston D. Goh,et al. LexiCAL: A calculator for lexical variables , 2021, PloS one.
[5] Winston D. Goh,et al. Consistency norms for 37,677 english words , 2020, Behavior Research Methods.
[6] Winston D. Goh,et al. The Auditory English Lexicon Project: A multi-talker, multi-region psycholinguistic database of 10,170 spoken words and nonwords , 2020, Behavior research methods.
[7] S. Sereno,et al. LexOPS: An R package and user interface for the controlled generation of word stimuli , 2019, Behavior research methods.
[8] M. Brysbaert,et al. Recognition times for 62 thousand English words: Data from the English Crowdsourcing Project , 2019, Behavior Research Methods.
[9] M. Brysbaert,et al. The Lancaster Sensorimotor Norms: multidimensional measures of perceptual and action strength for 40,000 English words , 2019, Behavior Research Methods.
[10] Nicholas P Maxwell,et al. English semantic feature production norms: An extended database of 4436 concepts , 2019, Behavior Research Methods.
[11] Penny M. Pexman,et al. Quantifying sensorimotor experience: Body–object interaction ratings for more than 9,000 English words , 2018, Behavior Research Methods.
[12] Amy Perfors,et al. The “Small World of Words” English word association norms for over 12,000 cue words , 2018, Behavior Research Methods.
[13] Sara C. Sereno,et al. The Glasgow Norms: Ratings of 5,500 words on nine scales , 2018, Behavior Research Methods.
[14] Suzanne Stevenson,et al. A comparison of homonym meaning frequency estimates derived from movie and television subtitles, free association, and explicit ratings , 2018, Behavior Research Methods.
[15] Samantha F. McCormick,et al. Word prevalence norms for 62,000 English lemmas , 2018, Behavior research methods.
[16] Benjamin V. Tucker,et al. The Massive Auditory Lexical Decision (MALD) database , 2018, Behavior Research Methods.
[17] Hugo Mailhot,et al. MorphoLex: A derivational morphological database for 70,000 English words , 2018, Behavior research methods.
[18] M. Brysbaert,et al. The Word Frequency Effect in Word Processing: An Updated Review , 2018 .
[19] Thomas T. Hills,et al. Humor norms for 4,997 English words , 2017, Behavior Research Methods.
[20] Eiko I. Fried,et al. A Tutorial on Regularized Partial Correlation Networks , 2016, Psychological methods.
[21] Eiko I. Fried,et al. Estimating psychological networks and their accuracy: A tutorial paper , 2016, Behavior research methods.
[22] Rutvik H. Desai,et al. Effects of semantic neighborhood density in abstract and concrete words , 2017, Cognition.
[23] M. Brysbaert. Age of acquisition ratings score better on criterion validity than frequency trajectory or ratings “corrected” for frequency , 2017, Quarterly journal of experimental psychology.
[24] Melvin J Yap,et al. The Calgary semantic decision project: concrete/abstract decision data for 10,000 English words , 2016, Behavior Research Methods.
[25] Boris New,et al. Worldlex: Twitter and blog word frequencies for 66 languages , 2015, Behavior Research Methods.
[26] Rutvik H. Desai,et al. Toward a brain-based componential semantic representation , 2016, Cognitive neuropsychology.
[27] Francisco Pereira,et al. A comparative evaluation of off-the-shelf distributed semantic representations for modelling behavioural data , 2016, Cognitive neuropsychology.
[28] Michael S. Vitevitch,et al. The influence of clustering coefficient on word-learning: how groups of similar sounding words facilitate acquisition , 2014, Front. Psychol..
[29] Fionn Murtagh,et al. Ward’s Hierarchical Agglomerative Clustering Method: Which Algorithms Implement Ward’s Criterion? , 2011, Journal of Classification.
[30] Amy Beth Warriner,et al. Concreteness ratings for 40 thousand generally known English word lemmas , 2014, Behavior research methods.
[31] Marc Brysbaert,et al. Subtlex-UK: A New and Improved Word Frequency Database for British English , 2014, Quarterly journal of experimental psychology.
[32] T. Rogers,et al. Semantic diversity: A measure of semantic ambiguity based on variability in the contextual usage of words , 2012, Behavior Research Methods.
[33] Saif Mohammad,et al. CROWDSOURCING A WORD–EMOTION ASSOCIATION LEXICON , 2013, Comput. Intell..
[34] Barbara J. Juhasz,et al. Sensory experience ratings for over 5,000 mono- and disyllabic words , 2013, Behavior research methods.
[35] Amy Beth Warriner,et al. Norms of valence, arousal, and dominance for 13,915 English lemmas , 2013, Behavior Research Methods.
[36] M. Brysbaert,et al. Age-of-acquisition ratings for 30,000 English words , 2012, Behavior research methods.
[37] M. Brysbaert,et al. Adding part-of-speech information to the SUBTLEX-US word frequencies , 2012, Behavior Research Methods.
[38] Marc Brysbaert,et al. The British Lexicon Project: Lexical decision data for 28,730 monosyllabic and disyllabic English words , 2011, Behavior Research Methods.
[39] William W. Graves,et al. Neural Systems for Reading Aloud: A Multiparametric Approach , 2009, Cerebral cortex.
[40] Samuel B. Green,et al. Evaluation of Parallel Analysis Methods for Determining the Number of Factors , 2010 .
[41] R. Harald Baayen,et al. Morphological dynamics in compound processing , 2008 .
[42] Gordon D. A. Brown,et al. Contextual Diversity, Not Word Frequency, Determines Word-Naming and Lexical Decision Times , 2006, Psychological science.
[43] William D. Marslen-Wilson,et al. The time course of visual word recognition as revealed by linear regression analysis of ERP data , 2006, NeuroImage.
[44] P. Luce,et al. Probabilistic Phonotactics and Neighborhood Activation in Spoken Word Recognition , 1999 .
[45] Ronald Peereman,et al. Orthographic and Phonological Neighborhoods in Naming: Not All Neighbors Are Equally Influential in Orthographic Space , 1997 .
[46] George A. Miller,et al. WordNet: A Lexical Database for English , 1995, HLT.
[47] Michael C. Doyle,et al. Effects of frequency on visual word recognition tasks: where are they? , 1989, Journal of experimental psychology. General.
[48] A. Caramazza,et al. Lexical access and inflectional morphology , 1988, Cognition.
[49] A. Paivio,et al. Concreteness, imagery, and meaningfulness values for 925 nouns. , 1968, Journal of experimental psychology.