Author: Ergashova, Zarnigor Khasanjon kizi

Annotation: The study of language evolution encompasses understanding how languages originate, change, and diversify over time. Computational models have become indispensable in this field, offering robust frameworks to simulate and analyze the complex processes underlying linguistic change. This article provides an overview of computational models used in studying language evolution, focusing on their methodologies, applications, and insights they offer into the mechanisms driving language change. We discuss agent-based models, evolutionary game theory, and phylogenetic approaches, highlighting their contributions and limitations. The integration of computational models with empirical data promises a deeper understanding of language evolution, paving the way for advancements in both theoretical linguistics and artificial intelligence.

Keywords: Language Evolution, Computational Models, Agent-Based Models, Evolutionary Game Theory, Phylogenetic Approaches, Linguistic Change, Language Simulation

Pages in journal: 708 - 714