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IE-CoR: A New Breed of Databases on Cognate Relationships in ‘core’ vocabulary

IE-CoR develops a new database structure for exploring how languages within a family relate to each other in Cognate Relationships in their ‘core’ vocabulary. Tailored for qualitative as well as quantitative research purposes, IE-CoR also provides a data-exploration website to search the rich linguistic data covered: cognate sets, orthography, morphology, phonemic and IPA phonetic transcriptions, and links to further data sources on the lexemes covered.

CoR is a model extendable to any language family, but is applied first to Indo-European, as IE-CoR. It aims to optimise cognate data-sets for the purposes of Bayesian phylogenetic analysis of language families, to supersede previous databases such as IELex by Michael Dunn (as used by Bouckaert et al. 2012, Chang et al. 2015). Data are compiled through the CoR data-entry website, by a consortium of branch experts across Indo-European, working together with cross-family cognacy specialists. All contributors work to a new and very explicit set of IE-CoR protocols for lexeme and cognate determination, and an optimised reference set of 170 precisely (re)defined comparison meanings.

Please note: This database will be made publicly available upon publication of the first main phylogenetic analysis results calculated from the IE-CoR data set. Access is currently provided only to the research team members, and reviewers.

Contact: paul_heggarty@~@eva.mpg.decormac_anderson@~@eva.mpg.de

Project Members

  • Dr. Cormac Anderson
  • Dr. Paul Heggarty
  • Dr. Matthew Scarborough