ERC Advanced Grant · 2018
Cross-Linguistic statistical inference using hierarchical Bayesian models
Historical linguistics and linguistic typology share the objective of explaining cross-linguistic variation. Their traditional research agendas have been largely disjoint though since historical linguistics strives for depth and typology for breadth. This tension has been replicated in current statistical and computational renderings of two sub-disciplines. Computational models of language change generally focus on individual language families, while statistical typology pays little attention to diachronic processes. CrossLingference will bridge this gap. Using Bayesian hierarchical models, the reach of modern phylogenetic linguistics will be extended to cross-family models, where each…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.