Description Usage Arguments Value Author(s) References
NNC
computes the maximum of the correlations between a pseudoword's
estimated semantic vector and words' semantic vectors.
1 | NNC(pseudo_S_matrix, real_S_matrix, pseudo_word_data, real_word_data)
|
pseudo_S_matrix |
A data frame, typically computed by solving |
real_S_matrix |
A data frame, typically the output of |
pseudo_word_data |
The dataset with which |
real_word_data |
The dataset with which |
A data frame containing:
NNC
- The NNC value of a word, i.e. the maximum correlation between a pseudoword's estimated semantic vector and a word's semantic vector.
Vectors
- The number of the real word as found in real_word_data
.
Base
- The pertinent pseudoword's base as found in pseudo_word_data
.
Pseudoword
- The pertinent pseudoword as found in pseudo_word_data
.
Word
- The pertinent real word as found in real_word_data
.
D. Schmitz
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.
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