Synthetic Language Generation and Model Validation in BEAST2

2016/07/27 by Stuart Bradley, Bradley, Stuart
Biochemistry, Genetics and Molecular Biology · Computer Science · Social Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Genomics and Phylogenetic Studies #Language and cultural evolution #Natural Language Processing Techniques

paper · pdf · doi:10.48550/arxiv.1607.07931

openalex publication_date 2016/07/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Generating synthetic languages aids in the testing and validation of future computational linguistic models and methods. This thesis extends the BEAST2 phylogenetic framework to add linguistic sequence generation under multiple models. The new plugin is then used to test the effects of the phenomena of word borrowing on the inference process under two widely used phylolinguistic models.

Citations

• Dollo on Dollo's law: Irreversibility and the status of evolutionary laws
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