Issue |
E3S Web Conf.
Volume 290, 2021
2021 3rd International Conference on Geoscience and Environmental Chemistry (ICGEC 2021)
|
|
---|---|---|
Article Number | 02016 | |
Number of page(s) | 4 | |
Section | Geological and Hydrological Structure and Environmental Planning | |
DOI | https://doi.org/10.1051/e3sconf/202129002016 | |
Published online | 14 July 2021 |
A Statistical Study of lyrics of “Huar” from Northwest China
1 School of information science, Beijing Language and Culture University, Beijing, Beijing, 100083, China
2 School of information science, Beijing Language and Culture University, Beijing, Beijing, 100083, China
3 School of information science, Beijing Language and Culture University, Beijing, Beijing, 100083, China
* 201921198622@stu.blcu.edu.cn
As an intangible cultural heritage, “Huar” from Northwest China is a folk song created and shared by many ethnic groups in Gansu, Qinghai and Ningxia provinces. It is a precious card of Chinese national culture. However, current research on “Huar” is mainly based on qualitative methods. This paper uses statistical methods to study the lyrics of “Huar". First, the word frequency of the lyrics of “Huar” is analysed statistically. Then, the lyrics of Hezhou Huar and Taomin Huar are compared and analysed from the perspective of quantitative linguistics ("Huar” mainly includes Hezhou Huar and Taomin Huar). By comparing three quantitative indicators, it is concluded that the lexical richness of Taomin Huar is higher than that of Hezhou Huar. Based on the frequency distribution of parts of speech, the similarities and differences of the use of parts of speech between Hezhou Huar and Taomin Huar are found. This paper uses statistical methods to analyse “Huar", which has certain research value and social value.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.