A Vector-based Approach to Dialectometry

Abstract

A novel unsupervised learning approach to computational dialectometry is presented which uses hard clustering. The approach relies on vector analysis over two-dimensional arrays of word lists collected for different geographical sites. The paper presents the underlying theory and applies the approach to a Bulgarian data set. The results of these experiments demonstrate the viability of the approach.