Paper Info
Title
Quantitative methods for Phylogenetic Inference in Historical Linguistics: An experimental case study of South Central Dravidian.
Abstract
In this paper we examine the usefulness of two classes of algorithms Distance Methods, Discrete Character Methods (Felsenstein and Felsenstein 2003) widely used in genetics, for predicting the family relationships among a set of related languages and therefore, diachronic language change. Applying these algorithms to the data on the numbers of shared cognates- with-change and changed as well as unchanged cognates for a group of six languages belonging to a Dravidian language sub-family given in Krishnamurti et al. (1983), we observed that the resultant phylogenetic trees are largely in agreement with the linguistic family tree constructed using the comparative method of reconstruction with only a few minor differences. Furthermore, we studied these minor differences and found that they were cases of genuine ambiguity even for a well-trained historical linguist. We evaluated the trees obtained through our experiments using a well-defined criterion and report the results here. We finally conclude that quantitative methods like the ones we examined are quite useful in predicting family relationships among languages. In addition, we conclude that a modest degree of confidence attached to the intuition that there could indeed exist a parallelism between the processes of linguistic and genetic change is not totally misplaced.
Year
Venue
Field
2014
CoRR
Phylogenetic inference,Phylogenetic tree,Computer science,Language change,Comparative method,Dravidian languages,Family tree,Natural language processing,Artificial intelligence,Ambiguity,Historical linguistics,Linguistics,Machine learning
DocType
Volume
ISSN
Journal
abs/1401.0708
Indian Linguistics, Volume 70, 2009
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Taraka Rama13210.60
Sudheer Kolachina2323.67
Lakshmi Bai B300.34