The reconstruction engine: a computer implementation of the comparative method
Computational Linguistics - Special issue on computational phonology
Identifying cognates by phonetic and semantic similarity
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Multipath translation lexicon induction via bridge languages
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Automatic prediction of cognate orthography using support vector machines
ACL '07 Proceedings of the 45th Annual Meeting of the ACL: Student Research Workshop
Improved reconstruction of protolanguage word forms
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Non-parametric Bayesian areal linguistics
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Graphical models over multiple strings
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Finding cognate groups using phylogenies
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Software helps linguists reconstruct, decipher ancient languages
Communications of the ACM
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We present a system for the large scale induction of cognate groups. Our model explains the evolution of cognates as a sequence of mutations and innovations along a phylogeny. On the task of identifying cognates from over 21,000 words in 218 different languages from the Oceanic language family, our model achieves a cluster purity score over 91%, while maintaining pairwise recall over 62%.