Abstract
We describe a statistical model over linguistic areas and phylogeny. Our model recovers known areas and identifies a plausible hierarchy of areal features. The use of areas improves genetic reconstruction of languages both qualitatively and quantitatively according to a variety of metrics. We model linguistic areas by a Pitman-Yor process and linguistic phylogeny by Kingman's coalescent. © 2009 Association for Computational Linguistics.
Cite
CITATION STYLE
Daumé, H. (2009). Non-parametric Bayesian areal linguistics. In NAACL HLT 2009 - Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Conference (pp. 593–601). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1620754.1620841
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
