Modeling Emergent Lexicon Formation with a Self-Reinforcing Stochastic Process. (arXiv:2206.11146v1 [cs.CL])

We introduce FiLex, a self-reinforcing stochastic process which models finite
lexicons in emergent language experiments. The central property of FiLex is
that it is a self-reinforcing process, parallel to the intuition that the more
a word is used in a language, the more its use will continue. As a theoretical
model, FiLex serves as a way to both explain and predict the behavior of the
emergent language system. We empirically test FiLex's ability to capture the
relationship between the emergent …

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