title: Comparative Analysis of the Most Frequent Verbs and Their Derivatives in the Text of the Qur’ān and Modern Standard Arabic
metadata.name: dc.contributor.author
metadata.value: Bernikova, Olga A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Redkin, Oleg I.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2023-03-02T16:48:09Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2023-03-02T16:48:09Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2022-12
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Bernikova O. A., Redkin O. I. Comparative Analysis of the Most Frequent Verbs and Their Derivatives in the Text of the Qur’ān and Modern Standard Arabic. Vestnik of Saint Petersburg University. Asian and African Studies, 2022, vol. 14, issue 4, рp. 648–666. https://doi.org/10.21638/spbu13.2022.405 (In Russian)
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu13.2022.405
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/39182
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: In the current paper basing on the available online resources the morphology and semantics
  in the Qur’ān as well as the distribution of morphological models in suras and their role in
  depicting basic ideas of the sacred text are analyzed. Every stage of the study of the Qur’ān requires
  appropriate approaches and often unparalleled solutions as well as new research tools.
  The study of the peculiarities of the Qur’ānic text in some cases is possible only with the use of
  the methods of the interdisciplinary research, both traditional ones as well as newly emerging
  digital technologies. The current research is a continuation of the earlier works of the authors
  which address the quantitative analysis of the morphology of the language of the Qur’ān. The
  indicators obtained earlier are compared with the new results about frequency of masdars
  and participles of the derived forms in the sacred text. The results of a comparative analysis
  are illustrated by graphs and diagrams. In this research authors analyze the development of
  the vocabulary of the Arabic language in diachrony on the basis of various thematic corpuses
  of texts. As an object of the corpus research the most frequent 15 verbs in derivatives in the
  text of the Qur’ān are considered. Using the Arabic language corpus, the frequency of these
  lexemes, as well as in subsections related to the media and Islamic discourse, is analyzed. The
  results of this research allow to take a new look at the verbal morphology of the sacred text of
  the Qur’an as well as to set new goals and research objectives.
metadata.lang: en_GB
metadata.name: dc.description.sponsorship
metadata.value: The study was carried out within the framework of the project no. 92565886 supported by
  St Petersburg State University “Laboratory for Analysis and Modeling of Social Processes”.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Vestnik of St Petersburg University. Asian and African Studies;Volume 14; Issue 4
metadata.lang: -
metadata.name: dc.subject
metadata.value: Qur’ān
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: corpus
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: Arabic language
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: frequency
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Comparative Analysis of the Most Frequent Verbs and Their Derivatives in the Text of the Qur’ān and Modern Standard Arabic
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 05.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/39182/1/05.pdf
resources.format: Adobe PDF
resources.size: 1,52 MB