SciELO - Scientific Electronic Library Online

 
vol.28 issue1The Impact of Training Methods on the Development of Pre-Trained Language ModelsAn Integer Programming Model for University Timetable Generation: A Case Study author indexsubject indexsearch form
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • Have no similar articlesSimilars in SciELO

Share


Computación y Sistemas

On-line version ISSN 2007-9737Print version ISSN 1405-5546

Abstract

MAKIPOVA, Elina; AKHMETOV, Iskander  and  GELBUKH, Alexander. Resurrection: The Khazar Language Reconstruction Using Computer Science Technologies. Comp. y Sist. [online]. 2024, vol.28, n.1, pp.125-135.  Epub June 10, 2024. ISSN 2007-9737.  https://doi.org/10.13053/cys-28-1-4902.

Decrypting or reconstructing extinct languages is challenging, especially when the objective is to reconstruct a language with no or very few texts left, such as the Khazar language or early Slavic and Ugric languages. In this paper, we lay out the historical perspective of the Khazar people, their language, and contemporary descendant ethnic groups, namely the Chuvash and Tatar people. Then we discuss ways Computer Science can help researchers in language reconstruction and decryption. Finally, we pilot an approach to find Khazar/Bulgar word candidates in Chuvash and Tatar languages by (1) normalizing the words of two languages and (2) comparing them, accounting for the semantic concepts to solve the homonymy problem, and (3) excluding common Turkic words and borrowings from the Russian language.

Keywords : Khazar; language reconstruction; extinct languages; historical linguistics.

        · text in English