WSEAS Transactions on Information Science and Applications
Print ISSN: 1790-0832, E-ISSN: 2224-3402
Volume 16, 2019
A Comparative Analysis of Hungarian Folk Songs and Sanskrit Literature using Motif Similarity Matrices
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Abstract: This paper shows connections between the texts of Hungarian folk songs and ancient Sanskrit literature that both have been transmitted orally for a long time before being recorded in writing. The comparative analysis is based on a set of ten important motifs that are shared among the studied texts. We build a similarity measure between any pair of texts based on the number of their common motifs. The surprisingly close similarities found suggest extensive contacts between Proto-Hungarian and Proto-Indo-Iranian people. The paper also investigates the chronology of these contacts using word similarities and places the last phase of them after the dissolution of the West-Ugric branch of the Uralic language family.
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Keywords: computational linguistics, data mining, folk songs, similarity matrix, textual analysis, Sanskrit
Pages: 75-86
WSEAS Transactions on Information Science and Applications, ISSN / E-ISSN: 1790-0832 / 2224-3402, Volume 16, 2019, Art. #9