Non-parametric Bayesian areal linguistics

Hal Daumé

2009-01-01otherConference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)47 citationsbronze

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Language and cultural evolution Categorization, perception, and language Bayesian Methods and Mixture Models

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.

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References

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