Issue |
E3S Web of Conf.
Volume 389, 2023
Ural Environmental Science Forum “Sustainable Development of Industrial Region” (UESF-2023)
|
|
---|---|---|
Article Number | 09008 | |
Number of page(s) | 6 | |
Section | Environmental Policy and Economics | |
DOI | https://doi.org/10.1051/e3sconf/202338909008 | |
Published online | 31 May 2023 |
Oral and written speech interpretation in sustainable development of ecological education
Don State Technical University, 344000 Rostov-on-Don, Gagarin sq. 1, Russia
* Corresponding author: olga-moisova@yandex.ru
Ecologist in today’s world should know the terminology in related to ecology areas. Thus, modern ecological education should be accompanied with the development of some nature interpretation skills within the language. In many languages, there is a special category of words – onomatopoeia (onomatopes), which conditionally reproduce various sounds that exist in nature: bam, bom, bang, bul, boom, cap, ding, chik, smack, upchi, etc. Onomatopoeia (onomatopoeia) occupies a prominent place among the "peripheral", marginal phenomena of language, and the interest of linguists in onomatopoeia is by no means accidental. Onomatopoeic words, due to their figurativeness, high stylistic expressiveness and phonetic instability, are of great interest to researchers. The present study is a comprehensive study of the structure, semantics, and stylistics of onomatopoeia in modern Russian and English. The result of the study is a comprehensive description of the structure of onomatopoeia, as well as a comprehensive examination of their semantic and stylistic aspects of the modern Russian language in comparison with English, as well as the definition of patterns in their translation.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.