• Corpus ID: 208635905

A Comparative Analysis of Hungarian Folk Songs and Sanskrit Literature Using Motif Similarity Matrices

@inproceedings{Revesz2019ACA,
  title={A Comparative Analysis of Hungarian Folk Songs and Sanskrit Literature Using Motif Similarity Matrices},
  author={Peter Zsolt Revesz},
  year={2019}
}
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… 

Figures and Tables from this paper

Measuring Vowel Harmony within Hungarian, the Indus Valley Script Language, Spanish and Turkish Using ERGM

Front-back vowel harmony is an important characteristic of many languages. Testing whether an untranslated script has vowel harmony may aid its decipherment. This paper tests vowel harmony for three

Feature Analysis of Indus Valley and Dravidian Language Scripts with Similarity Matrices

The similarity between the Indus Valley script and the Kannada, Malayalam, Tamil, and Telugu scripts that are used to write Dravidian languages is investigated by applying a feature analysis of each sign of these scripts and creating similarity matrices.

References

SHOWING 1-10 OF 24 REFERENCES

Etymological dictionary of Greek

A must-have research tool that should be on every classicist's desk. The first comprehensive etymological dictionary of Greek in the English language Greek is among the most intensely and widely

Sumerian Contains Dravidian and Uralic Substrates Associated with the Emegir and Emesal Dialects

Data mining the Sumerian vocabulary reveals a dichotomy of the cognate associations of the Emeĝir and the Emesal dialects, with the former having mostly Dravidian and the later mostly Uralic

Data mining ancient scripts to investigate their relationships and origins

The data mining uses convolutional neural networks and support vector machines to find the degree of visual similarity between pairs of symbols in eight different ancient scripts, finding the Indus Valley Script is visually closest to Sumerian pictographs.

A Computer-Aided Translation of the Cretan Hieroglyph Script

Several Cretan Hieroglyph inscriptions can now be deciphered with a high confidence by computer software that finds numerous matches between short CretAn HieroglyPH inscriptions and the Phaistos Disk text.

Pre-Greek : phonology, morphology, lexicon

Before the arrival of the Indo-European Greeks in the area around the Aegean Sea, a non-Indo-European language was spoken there which was eventually replaced by Greek. Although no written texts exist

Bioinformatics Evolutionary Tree Algorithms Reveal the History of the Cretan Script Family

This paper shows that Crete is the likely origin of a family of related scripts that includes the Cretan Hieroglyph, Linear A, Linear B and Cypriot syllabaries and the Greek, Phoenician, Old

The design and implementation of AIDA: ancient inscription database and analytics system

The AIDA system provides for various scholars not only a convenient online resource to browse Minoan inscriptions but also provides an analysis tool to explore various options of phonetic assignments and their implications that can aid in the decipherment of Minoa inscriptions.

A Translation of the Arkalochori Axe and the Malia Altar Stone

This paper presents a translation of the Arkalochori Axe and the Malia Altar Stone inscriptions, which are some of the longest known Cretan Hieroglyph inscriptions together with the Phaistos Disk.

The Case for Euphratic

It will be argued that the cuneiform writing system, the Sumerian and Akkadian lexicon, and the place names of Southern Mesopotamia preserve traces of an early Indo-European language, indeed the

Data Mining Ancient Script Image Data Using Convolutional Neural Networks

This work uses convolutional neural networks to test which Phoenician alphabet letters and Brahmi symbols are closest to the Indus Valley script symbols, and shows that overall the Phoenicians alphabet is much closer than the Brahmi script to theIndus ValleyScript symbols.