A corpus-based Analysis of Adjective Patterns in English and Arabic Newspapers from a Cognitive Perspective
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AD3G7AK3A" target="_blank" >RIV/00216208:11320/23:D3G7AK3A - isvavai.cz</a>
Result on the web
<a href="https://opde.journals.ekb.eg/article_325332.html" target="_blank" >https://opde.journals.ekb.eg/article_325332.html</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.21608/opde.2023.325332" target="_blank" >10.21608/opde.2023.325332</a>
Alternative languages
Result language
angličtina
Original language name
A corpus-based Analysis of Adjective Patterns in English and Arabic Newspapers from a Cognitive Perspective
Original language description
"The research is conducted to examine the occurrence of adjectives in English and Arabic newspaper corpora. The purpose is to find out the most frequent lexical phrases and their phraseological patterns. In addition, the study is an attempt to explain the cognitive phenomenon behind how linguistic units are constructed, produced and developed into other forms. The theoretical framework is the usage-based cognitive approach that focuses on the integration of lexical items and the role of frequency and usage in entrenching and generalizing new schematic constructions. Corpus linguistics, as a method, analyzes naturally occurring language obtained from corpora by means of specialized software. Both corpora, the Arabic Ar Ten Ten and the En Ten Ten, are processed by Sketch Engine. The Ar Ten Ten corpus, a collection of Arabic texts from the web, is contrasted with the En Ten Ten Corpus that contains materials from leading English newspaper agencies. The results show that all the constructions of the adjective category are operated by the same single category prototype in both languages. All adjective patterns are either instances or extensions of the central prototype."
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
"CDELT Occasional Papers in the Development of English Education"
ISSN
1110-2721
e-ISSN
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Volume of the periodical
83
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
25
Pages from-to
169-193
UT code for WoS article
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EID of the result in the Scopus database
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