RUDN Journal of Language Studies, Semiotics and Semantics (Mar 2024)

Morphological Methods of Noun-Origin Derivatives Creation in Secondary Root Formation in the Modern Standard Arabic Language

  • Tatiana A. Vavichkina,
  • Karen N. Stepanyan,
  • Yulia E. Vlasova

DOI
https://doi.org/10.22363/2313-2299-2024-15-1-276-291
Journal volume & issue
Vol. 15, no. 1
pp. 276 – 291

Abstract

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The study is devoted to the topic of Arabic generic derivatives formed from nouns аccording to Masdar models of four-letter bases from names of states, organizations, their abbreviations, which is little represented in the academic literature. The authors set a goal to analyze and generalize the features and methods of secondary root formation in the Arabic on the material of the lexical corpus of derivatives grouped by semantic and word-formation identity. The data source was the texts of modern Arabic-language media. Sixty-six lexemes-neologisms with the general semantics of the process or state and formed according to the Masdar models of the fourletter basis were selected by the continuous sampling method. The selected lexemes were examined in asynchronous aspect and were subjected to lexico-morphological analysis. It was concluded that all the studied neologisms were formed on a morphological basis. The leading method is lexical derivation, which can proceed with the participation of word-forming formants, phonetic expanders, gemination of the root element, and without suffixation. All lexical derivatives were formed along the traditional path known and described by historians of the Arabic. The process examined in the article turned out to be analogous to the hypothesis of the formation of three-letter bases based on two root consonants accepted in Arabic studies. This allowed the authors suggest that new fourletter bases appear from existing three-letter roots, which over time can potentially become the base of four-letter roots, which will lead to the expansion of Arabic roots and the formation of new word-formation nests.

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