title: Peculiarities of the Arabic Language Processing: Morphological Modeling
metadata.name: dc.contributor.author
metadata.value: Bernikova, Olga A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Kizhaeva, Natalia A.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2024-02-05T14:11:39Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2024-02-05T14:11:39Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2023-09
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Bernikova O. A., Kizhaeva N. A. Peculiarities of the Arabic Language Processing: Morphological Modeling. Vestnik of Saint Petersburg University. Asian and African Studies, 2023, vol. 15, issue 3, pp. 459–484. https://doi.org/10.21638/spbu13.2023.302 (In Russian)
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu13.2023.302
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/44821
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The paper deals with the features of morphological modeling of the Arabic language based on
  the definition of the specifics of its formalization. Morphological modeling is one of the key
  stages of automatic text analysis and includes tools for building a word form to a stem, root,
  definition of a part of speech, automatic construction (generation) of a given word form, etc.
  The objectives of the study are interdisciplinary in nature and include both the theoretical aspects
  of studying the features of the Arabic language, which are most relevant for its automatic
  processing, and the study of existing morphological analyzers and determining the specifics of
  their work. The practical part is based on testing the CAMeL Tools, one of the advantages of
  which is its comprehensive nature, which allows both preprocessing of text and solving applied
  problems, including sentiment analysis. The criteria for selecting examples for testing took into
  account the features of the Arabic language, which are difficult for its formalization (segmentation
  of functional words with continuous spelling, morphological and lexical homonymy,
  etc.). The variability of the generalized concept of “the Arabic language” is taken into account, which combines classical Arabic, Modern Standard Arabic and modern Arabic dialects. Testing
  tools for morphological modeling allows us to draw conclusions about the need to improve
  the terminological apparatus, the variability of which is noted in the description of word forms.
  Such kind of variation (divergence from the concepts accepted in general linguistics) potentially
  leads to a distortion of the results of lexico-semantic analysis. During the analysis, some
  gaps were noted related to the definition of part-of-speech belonging, the description of word
  forms, etc. The results of the study are relevant both for linguistic research and for improving
  the development of software applications aimed at processing the Arabic text.
metadata.lang: en_GB
metadata.name: dc.description.sponsorship
metadata.value: The research was carried out at the expense of the grant of the Russian Science Foundation
  no. 22-28-01046, https://rscf.ru/project/22-28-01046/.
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 15; Issue 3
metadata.lang: -
metadata.name: dc.subject
metadata.value: Arabic language
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: morphological modeling
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: analyzer
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: processing
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Peculiarities of the Arabic Language Processing: Morphological Modeling
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 02.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/44821/1/02.pdf
resources.format: Adobe PDF
resources.size: 1,26 MB