Proceedings of the 6th International Conference on Education, Language, Art and Inter-cultural Communication (ICELAIC 2019)

Research on the Legends of Yang Shen*

Authors
Xuewei Hu
Corresponding Author
Xuewei Hu
Available Online 14 February 2020.
DOI
10.2991/assehr.k.191217.173How to use a DOI?
Keywords
folk narrative, legends about Yang Shen, narrativity, emotionality, nationality
Abstract

Folk legend is an art narrative that shows the spiritual world of the people in an oral form. There are a lot of legends with characteristics about Yang Shen in Yunnan, Sichuan and other places. They include interesting episodes of his early youth, extraordinary talent as the “Number One Scholar”, the journey in Southern Sichuan and anecdotes in Yunnan, etc. With the characteristics of narrativity, emotionality and nationality, these legends are of great significance in emotional catharsis and multi-ethnic cultural exchange, etc.

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 6th International Conference on Education, Language, Art and Inter-cultural Communication (ICELAIC 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
14 February 2020
ISBN
10.2991/assehr.k.191217.173
ISSN
2352-5398
DOI
10.2991/assehr.k.191217.173How 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  - Xuewei Hu
PY  - 2020
DA  - 2020/02/14
TI  - Research on the Legends of Yang Shen*
BT  - Proceedings of the 6th International Conference on Education, Language, Art and Inter-cultural Communication (ICELAIC 2019)
PB  - Atlantis Press
SP  - 475
EP  - 478
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.191217.173
DO  - 10.2991/assehr.k.191217.173
ID  - Hu2020
ER  -