Proceedings of the 2020 Conference on Education, Language and Inter-cultural Communication (ELIC 2020)

A Corpus-based Study of Translation Styles of Two Russian Versions of Tao Te Ching

Authors
Bangjun Xu, Guonian Wang
Corresponding Author
Bangjun Xu
Available Online 28 November 2020.
DOI
10.2991/assehr.k.201127.089How to use a DOI?
Keywords
corpus, Tao Te Ching, translation style, Russian version
Abstract

This paper compares the translation styles of two Russian versions of Tao Te Ching and their narrative points of view from the perspective of macro-linguistic characteristics by using corpus method. It is found that the two Russian translations do not show obvious translation styles in terms of macro-linguistic features, but at the discourse level, they have different narrative perspectives in terms of the modality structure, pronouns, coherence and the use of borrowed terms, which reflects their respective translation styles.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2020 Conference on Education, Language and Inter-cultural Communication (ELIC 2020)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
28 November 2020
ISBN
978-94-6239-281-6
ISSN
2352-5398
DOI
10.2991/assehr.k.201127.089How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Bangjun Xu
AU  - Guonian Wang
PY  - 2020
DA  - 2020/11/28
TI  - A Corpus-based Study of Translation Styles of Two Russian Versions of Tao Te Ching
BT  - Proceedings of the 2020 Conference on Education, Language and Inter-cultural Communication (ELIC 2020)
PB  - Atlantis Press
SP  - 445
EP  - 451
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201127.089
DO  - 10.2991/assehr.k.201127.089
ID  - Xu2020
ER  -