Concreteness ratings for 40 thousand generally known English word lemmas

Concreteness ratings for 40 thousand generally known English word lemmas

| Marc Brysbaert, Amy Beth Warriner, Victor Kuperman
This paper presents concreteness ratings for 37,058 English words and 2,896 two-word expressions, collected from over 4,000 participants through internet crowdsourcing. The ratings aim to capture the degree to which a word refers to a perceptible entity, emphasizing the importance of both visual and haptic experiences. The dataset is a subset of a comprehensive list of English lemmas, including all lemmas known by at least 85% of raters, serving as a reference for future research. The study addresses limitations of existing concreteness norms, such as a focus on visual perception and the exclusion of non-visual and action-related experiences. The ratings are validated against existing norms, showing high correlation (r = .919) with MRC ratings, despite the inclusion of more diverse stimuli. The research also highlights the need for more fine-grained information about basic level categories and the limitations of current word frequency measures. The dataset provides a valuable resource for researchers studying word recognition and related phenomena.This paper presents concreteness ratings for 37,058 English words and 2,896 two-word expressions, collected from over 4,000 participants through internet crowdsourcing. The ratings aim to capture the degree to which a word refers to a perceptible entity, emphasizing the importance of both visual and haptic experiences. The dataset is a subset of a comprehensive list of English lemmas, including all lemmas known by at least 85% of raters, serving as a reference for future research. The study addresses limitations of existing concreteness norms, such as a focus on visual perception and the exclusion of non-visual and action-related experiences. The ratings are validated against existing norms, showing high correlation (r = .919) with MRC ratings, despite the inclusion of more diverse stimuli. The research also highlights the need for more fine-grained information about basic level categories and the limitations of current word frequency measures. The dataset provides a valuable resource for researchers studying word recognition and related phenomena.
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[slides and audio] Concreteness ratings for 40 thousand generally known English word lemmas