| Issue |
SHS Web of Conf.
Volume 164, 2023
11th International Scientific and Practical Conference “Current Issues of Linguistics and Didactics: The Interdisciplinary Approach in Humanities and Social Sciences” (CILDIAH-2022)
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|---|---|---|
| Article Number | 00083 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/shsconf/202316400083 | |
| Published online | 11 May 2023 | |
Structural differences of syntactic models in Russian and Chinese
Astrakhan State University named after V.N. Tatischev, 20a Tatishcheva Ave., Astrakhan, Russian Federation
* Corresponding author: mv-pitelina@mail.ru
For many centuries of scientific existence linguistic researchers and philosophic leaders have been trying to establish a rigid determination of linguistic concepts. Theories of formal generative grammar provide the opportunity for logically proved abstract models. Such models allowing to reflect the typological features of Chinese and Russian syntactical structures in the most accessible way. According to the language morphological classification, the world's languages are divided into four morphological groups: a. inflectional languages, b. agglutinative languages, c. isolating languages, d. incorporating languages. The Chinese language is related to the morphological group of isolating languages as it produces poor methods of morphological inflection and strong significance of the word order in a sentence. The morphological structure of the Russian language which belongs to the inflectional morphological group is opposed to it. The current paper aims to present typological differences between the two comparable languages in terms of generative linguistics. The generated research produces two typological schemes of structural differences between the analyzed languages. The analysis is supplied with certain examples of language usage in both linguistic cultures.
Key words: theory of actual sentence division / the predicative concept of a language / information structure / the Chinese language / the Russian language / generative grammar / derivational tree
© The Authors, published by EDP Sciences, 2023
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