SCPP: Semantic Correlation of Predicted Production - SCPP

Description Usage Arguments Value Author(s) References

Description

SCPP extracts the maximum correlation between a word's predicted semantic vector and any of the semantic vectors of its candidate forms. This measure is similar to correlations which is part of the WpmWithLdl::production_measures function.

Usage

1
SCPP(prod_measures, data)

Arguments

prod_measures

A data frame, typically the output of WpmWithLdl::production_measures.

data

The dataset with which prod_measures was computed.

Value

A data frame containing:

Author(s)

D. Schmitz

References

Baayen, R. H., Chuang, Y. Y., and Blevins, J. P. (2018). Inflectional morphology with linear mappings. The Mental Lexicon, 13 (2), 232-270.

Chuang, Y-Y., Vollmer, M-l., Shafaei-Bajestan, E., Gahl, S., Hendrix, P., & Baayen, R. H. (2020). The processing of pseudoword form and meaning in production and comprehension: A computational modeling approach using Linear Discriminative Learning. Behavior Research Methods, 1-51.


dosc91/LDLConvFunctions documentation built on Feb. 2, 2022, 6:17 p.m.