Proceedings of the 2020 International Conference on Social Sciences and Big Data Application (ICSSBDA 2020)

A Semantic Study of Food Culture Vocabulary in the Vietnamese Manuscript Da Nan Guo Yu

Authors
Yuting Zhang
Corresponding Author
Yuting Zhang
Available Online 2 November 2020.
DOI
10.2991/assehr.k.201030.072How to use a DOI?
Keywords
Chinese and Vietnamese words, Da Nan mandarin, inherited vocabulary, Vietnamese food vocabulary
Abstract

Chinese culture is not only closely related to Vietnamese culture, but also has a profound influence on the development of Vietnamese. The author conducted an exhaustive survey on the food and beverage words in the Vietnamese manuscript “Da Nan Mandarin “. By comparing the word formation and meanings of some typical food words in Vietnamese and Chinese, we found that many pure Vietnamese words for food are derived from It has been transformed from Chinese and has a variation in the way of word formation.

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 International Conference on Social Sciences and Big Data Application (ICSSBDA 2020)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
2 November 2020
ISBN
978-94-6239-266-3
ISSN
2352-5398
DOI
10.2991/assehr.k.201030.072How 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  - Yuting Zhang
PY  - 2020
DA  - 2020/11/02
TI  - A Semantic Study of Food Culture Vocabulary in the Vietnamese Manuscript Da Nan Guo Yu
BT  - Proceedings of the 2020 International Conference on Social Sciences and Big Data Application (ICSSBDA 2020)
PB  - Atlantis Press
SP  - 360
EP  - 363
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201030.072
DO  - 10.2991/assehr.k.201030.072
ID  - Zhang2020
ER  -