Geodesic
Applying A Normalized Compression Metric To The Measurement Of Dialect Distance
Serdica Journal of Computing, Tome 1 (2007) no. 1, pp. 73-86.

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The paper discusses the application of a similarity metric based on compression to the measurement of the distance among Bulgarian dia- lects. The similarity metric is de ned on the basis of the notion of Kolmo- gorov complexity of a le (or binary string). The application of Kolmogorov complexity in practice is not possible because its calculation over a le is an undecidable problem. Thus, the actual similarity metric is based on a real life compressor which only approximates the Kolmogorov complexity. To use the metric for distance measurement of Bulgarian dialects we rst represent the dialectological data in such a way that the metric is applicable. We propose two such representations which are compared to a baseline distance between dialects. Then we conclude the paper with an outline of our future work.
Keywords: Kolmogorov Complexity, Compression Metric, Dialect Distance, Language Contacts 
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Simov, Kiril; Osenova, Petya. Applying A Normalized Compression Metric To The Measurement Of Dialect Distance. Serdica Journal of Computing, Tome 1 (2007) no. 1, pp. 73-86. http://geodesic.mathdoc.fr/item/SJC_2007_1_1_a6/