PyAline: Automatically Growing Language Family Trees Using the ALINE Distance

Several methods for determining a numerical distance between languages have been proposed in the literature. In this thesis I implement one of them, the ALINE distance, and develop a methodology for comparing its results with other language distance metrics. I then compare it with a leading distance metric, the LDND distance, proposed by the ASJP project.


Thesis Author: Huff, Paul


Year Completed: 2010


Committee Members: David Eddington, Dirk Elzinga


Thesis Chair: Deryle Lonsdale




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