English

Stable variation in multidimensional competition

Artificial Intelligence 2020-03-16 v1 Formal Languages and Automata Theory

Abstract

The Fundamental Theorem of Language Change (Yang, 2000) implies the impossibility of stable variation in the Variational Learning framework, but only in the special case where two, and not more, grammatical variants compete. Introducing the notion of an advantage matrix, I generalize Variational Learning to situations where the learner receives input generated by more than two grammars, and show that diachronically stable variation is an intrinsic feature of several types of such multiple-grammar systems. This invites experimentalists to take the possibility of stable variation seriously and identifies one possible place where to look for it: situations of complex language contact.

Keywords

Cite

@article{arxiv.2003.06265,
  title  = {Stable variation in multidimensional competition},
  author = {Henri Kauhanen},
  journal= {arXiv preprint arXiv:2003.06265},
  year   = {2020}
}

Comments

28 pages, 14 figures

R2 v1 2026-06-23T14:13:55.561Z