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Contextualized Sensorimotor Norms

GitHub repository for the Contextualized Sensorimotor Norms (CS Norms) database, as described in:

Trott, S., Bergen, B. (2022). Contextualized Sensorimotor Norms: multi-dimensional measures of sensorimotor strength for ambiguous English words, in context.

The paper can be found here.

About the data

The data sheet can be found here.

Additionally, there are several datasets included in the repository:

Contextualized norms

The file data/processed/contextualized_sensorimotor_norms.csv is the primary dataset described the manuscript.

The same directory also contains:

  • sentence_pairs_with_sensorimotor_distance.csv: for each sentence pair for a given ambiguous word, this file indicates the sensorimotor distance (i.e., the cosine distance between the sensorimotor vectors).
  • dominance_norms_with_order.csv: this file contains judgments of the relative dominance of each context of use, for each different-sense sentence pair.
  • sentence_pairs_with_baseline.csv: for each sentence pair for a given ambiguous word, this file contains the "baseline" distance calculated using a bag-of-words model from the LS Norms.
  • contextualized_sensorimotor_norms_with_ls.csv: contains the distance between the CS Norm for each sentence and the corresponding LS Norm for that word.

Individual responses

In the data/individual_responses folder, you can find subject-level responses, separated into the Action and Perception groups.

Supplementary data

Under data/lexical, we also include the Lancaster Sensorimotor Norms (Lynott et al, 2019).

Analysis

Code to run the primary analyses described in the paper can be found in src/analysis here, along with a knit .html file.

Further, the code to build the bag-of-words baseline can be found in src/data/bow.py; the code to calculate the distance between each CS Norm and the LS Norm can be found in src/data/distance_to_ls.py.

References

Lynott, D., Connell, L., Brysbaert, M., Brand, J., & Carney, J. (2019). The Lancaster Sensorimotor Norms: multidimensional measures of perceptual and action strength for 40,000 English words. Behavior Research Methods, 1-21.

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A dataset of contextualized sensorimotor norms.

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