Нариси мовного образу ПРАВЕДНОГО в українських текстах Псалтиря (переклад Івана Огієнка)

IF 0.4 3区文学 0 LANGUAGE & LINGUISTICS

STUDIA LINGUISTICA Pub Date : 2021-11-26 DOI:10.19195/0137-1169.40.1

Olga Barabasz-Rewak

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Abstract

This article is a part of a study on the integral linguistic image of God in the Ukrainian translation of the Psalter translated by Ivan Ohienko. The important role of Ohienko’s texts comes from the scientiﬁc nature of the translation and the inﬂuences in the formation of literary language. The author of the study is interested in the ways and means by which the concept of the RIGHTEOUS – one of the most frequent elements God functions with in text collections – is verbally expressed. Therefore, in this study, attention is focused on an attempt to ethnolinguistically analyse (based on the conception of proﬁling by J. Bartmiński) of the Ukrainian lingual implementation of such biblical concepts as ‘righteous person’, ‘the main signs of a righteous person associated with God’, and ‘the actions of a righteous person towards a) God, b) sinners’. As a result, it will be possible to trace the richness and diversity of the language image ‘righteous’ created by Ivan Ohienko, by bringing readers closer to the understanding of the ways of linguistic ﬁlling of in Old Testament texts with Ukrainian language means.

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本文是对俄希延科翻译的《诗篇》乌克兰语译本中上帝的整体语言形象研究的一部分。奥希延科文本的重要作用来自于翻译的科学性和对文学语言形成的影响。这项研究的作者对正义概念的方式和手段感兴趣-上帝在文本集合中最常见的元素之一-是口头表达的。因此，在本研究中，注意力集中在对乌克兰语中“义人”、“与上帝相关的义人的主要标志”和“义人对a)上帝，b)罪人的行为”等圣经概念的民族语言学分析(基于J. Bartmiński的分析概念)的尝试上。因此，它将有可能追溯语言形象的丰富性和多样性的“正义”伊凡·奥希延科创造，通过使读者更接近语言填充的方式在旧约文本与乌克兰语的手段的理解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

STUDIA LINGUISTICA LANGUAGE & LINGUISTICS-

CiteScore

1.20

自引率

0.00%

发文量

期刊介绍： Studia Linguistica is committed to the publication of high quality, original papers and provides an international forum for the discussion of theoretical linguistic research, primarily within the fields of grammar, cognitive semantics and language typology. The principal aim is to open a channel of communication between researchers operating in traditionally diverse fields while continuing to focus on natural language data.