Results 101 to 110 of about 14,096 (215)

Is the Turkic us- ‘to be thirsty’ a loanword from Mongolic? An overview of Mongolic loanwords in Old Turkic [PDF]

open access: yes
The present study questions whether the Old Turkic verb us- ‘to be thirsty’ is derived from the nominal base *u ‘water’, which is attested as such in Kitan and as *usun in Common Mongolic.
Orçun Ünal, Ünal, Orçun
core   +1 more source

THE LINGUOGEOGRAPHIC BASIS THE TURKIC LANGUAGES IN WORLD SPACE

open access: yesӘл-Фараби Атындағы Қазақ Ұлттық Университеті хабаршы шығыстану сериясы, 2019
The formation of literate consciousness in the world space, historical, ethnic, cultural, political, linguistic, geographical features and achievements of modern Turks are the main prerequisites of the Turkic unity. Therefore in the presented scientific
Бектемировa С.Б.   +2 more
doaj  

THE HISTORY OF THE TURKIC PEOPLES AND THE EMBODIMENT OF THE UNITY IN TURKIC STATES

open access: yes
The science of Turkic studies is to examine the similarities between the Turkic languages and at the same time all the features that distinguish them from each other. From this point of view, it is important to involve the language, ethnic composition, culture, political and economic relations of the Turkic peoples in the study.
openaire   +2 more sources

Semantic and grammatical connections of the Old Turkic word аčïγ with the vocabulary of the Kazakh language

open access: yesTurkic Studies Journal
The article examines the semantic connections of the Old Turkic word аčïγ, which is part of the main lexical fund of the language, with the words of the Kazakh language, genealogically ascending to the Old Turkic word.
Zifa Temirgazina, Olga Andryuchshenko
doaj   +1 more source

The appearance of common turkic phrasemes in modern turkic languages

open access: yesEurasian Journal of Philology: Science and Education, 2023
openaire   +1 more source

Phylogeographic analysis of mitochondrial genome polymorphism in the Shors. [PDF]

open access: yesVavilovskii Zhurnal Genet Selektsii
Malyarchuk BA   +3 more
europepmc   +1 more source

A four-module neural architecture for the automatic extraction and classification of causal relations in text. [PDF]

open access: yesFront Artif Intell
Taberkhan R   +6 more
europepmc   +1 more source

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