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  • АЛГОРИТМ РЕФЕРУВАННЯ ПУБЛІЦИСТИЧНОГО ТЕКСТУ
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  • https://doi.org/10.25264/2519-2558-2022-16(84)-120-123Copy DOI Icon

АЛГОРИТМ РЕФЕРУВАННЯ ПУБЛІЦИСТИЧНОГО ТЕКСТУ

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Abstract

The proposed linguistic didactic study is devoted to the problem of forming the skills and abilities of philology bachelors in the analytical and synthetic processing of journalistic Ukrainian-language text and the creation of their own German-language excerpt. The article provides methodological recommendations for teaching bilingual excerpting of a Ukrainian-language journalistic text in German for students of higher education of the first bachelor's level in the field of knowledge 03 Humanities, specialty 035 Philology, under the educational and professional program «Language and Literature (German / English). Translation». A four-year-tested algorithm for bilingual abstracting of a magazine or newspaper article is proposed, which practically helps students of the Faculty of Foreign Philology master the technology of working with modern journalistic text at an advanced stage, i.e. level B2 according to the All-European Recommendations on language education. The correct automated observance of all steps of the algorithm (familiarization with the journalistic text, careful reading of the article, translation recoding of the excerpt, design of the written excerpt, self-control of the written excerpt, editing of the text of the excerpt) contributes to the correct semantic folding and adequate linguistic compression of the source text, which contributes to the optimization of the educational process under time to study German as a primary and second foreign language. The peculiarities of the structure of the excerpt as a specific secondary document are given: the exordium (bibliographic description of the primary document), the abstract part itself (the basis of the excerpt, that is, the information obtained by analytically and synthetically processing the content of the primary text) and the conclusion (addition). Creating an excerpt according to the proposed effective algorithm significantly saves time and effort of higher education students and, accordingly, increases their motivation to study. The difficulties that accompanied higher education applicants during the compilation of an excerpt were analyzed.

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