EDNN: Euclidian Distance from Nearest Neighbour - EDNN

In dosc91/LDLConvFunctions: LDLConvFunctions for measure computation, extraction, and other handy stuff.

Description

EDNN extracts the Euclidian distance between a word's estimated semantic vector and its nearest neighbour.

EDNN extracts the Euclidian distance between a word's estimated semantic vector and its nearest neighbour.

Usage

EDNN(comprehension, data)

Arguments

comprehension	A data frame, typically the output of WpmWithLdl::learn_comprehension.
data	The dataset with which comprehension was computed

Value

A data frame containing:

• EDNN - The EDNN value of a word.

• Word - The pertinent word as found in data.

• Base - The pertinent base as found in data.

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.

Beygelzimer, A., Kakadet, S., Langford, J., Arya, S., Mount, D., & Shengqiao, L. (2019). FNN: Fast Nearest Neighbor Search Algorithms and Applications. R package version 1.1.3.

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.