Editing features of translations of texts of academic and scientific varieties of institutional discourse

Authors

DOI:

https://doi.org/10.32589/2311-0821.1.2021.236100

Keywords:

revision, revision parameters, translation norm, academic discourse, scientific discourse, institutional discourse

Abstract

The article outlines different approaches to the study of editing and identifies the main directions of research in the field of editology. Given the current tendencies in linguistics, the proposed article focuses on revealing the revision peculiarities of the translations of texts of institutional discourse, namely its academic and scientific varieties. The choice of research material has been stipulated by a number of reasons: firstly, by the lack of scientific publications determining the specifics of revising texts of different types of discourses, and secondly, by the fact that academic and scientific types of institutional discourse are direct areas of communication and educational activities of students translators, hence understanding the characteristic features and difficulties in translation and revision will help improve the quality of training of future translation professionals. The notions of academic and scientific types of institutional discourses were differentiated and their genre diversity was described. Using the data from the revision theory enabled us to identify four groups of parameters that help assess the quality of the translation of the text of academic and scientific discourses from English to Ukrainian and from Ukrainian to English: these parameters are "problems of meaning", "problems of content", "problems of language and style" and "problems of physical representation of the text". In the investigation, typical errors were analysed by comparing the text of the original and its translation and, as a result, their taxonomy was created according to these revision parameters. Thus, the set of errors on different structural levels of the language system specific to Ukrainian translators was identified, especially those mistakes which arise as a result of language interference.

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Published

2021-07-06

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Section

Articles