Several databases have been compiled with the aim of documenting the distribution of typological features across the world’s languages. This paper looks at ways of utilizing this type of data for making inferences concerning genealogical relationships by using phylogenetic algorithms originally developed for biologists. The focus is on methodology, including how to assess the stability of individual typological features and the suitability of different phylogenetic algorithms, as well as ways to enhance phylogenetic signals and heuristic procedures for identifying genealogical relationships. The various issues are illustrated by a small sample of empirical data from a set of Native American languages.
2014. Testing Phylogenetic Algorithms in Linguistic Databases. In Information and Software Technologies [Communications in Computer and Information Science, 465], ► pp. 373 ff.
2008. The Emerging Field of Language Dynamics. Language and Linguistics Compass 2:3 ► pp. 442 ff.
[no author supplied]
2022. Contact, Emergence, and Language Classification. In The Cambridge Handbook of Language Contact, ► pp. 255 ff.
This list is based on CrossRef data as of 27 january 2024. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers.
Any errors therein should be reported to them.