fazly: Fazly et al. 2010 probablistic associative model

In XSLmodels: Run and Optimize Cross-Situational Word Learning Models

Fazly et al. 2010 probablistic associative model

Description

Fazly et al. 2010 probablistic associative model

Usage

fazly(lambda, beta, alpha = 10, epsilon = 0.001, theta = NULL)

Arguments

lambda	Small smoothing factor (e.g. 1e-5)
beta	Upper bound on number of symbol types to expect (e.g. 8500)
alpha	Fixed smoothing parameter (e.g. 10)
epsilon	Fixed smoothing parameter (e.g. 0.001)
theta	Threshold to determine when associations enter the lexicon (defaults to NULL, i.e. model variant without thresholding).

Value

An object of class xslMod

Examples

mod <- fazly(lambda = 1e-5, beta = 8500)
xsl_run(mod, get_example_ambiguous_condition())

mod_t <- fazly(lambda = 1e-5, beta = 8500, theta = 0.7)
xsl_run(mod_t, get_example_ambiguous_condition())

XSLmodels documentation built on Oct. 18, 2026, 5:08 p.m.