Research on the Construction of Chinese Song Hierarchical Database Oriented to Chinese Teaching
Bibliographic Data
| ID | 21807113 |
|---|---|
| Authors | Yuqi Zhang (0000-0002-0818-6810, Beijing International Studies University), Xiujuan Han (Beijing International Studies University), Qingping Hu (0000-0002-5828-2800, Beijing International Studies University), Fei Song (0000-0002-3888-5786, Beijing International Studies University) |
| Year | 2020 |
| Volume | 10 |
| Issue | 7 |
| Pages | 819 |
| Publication date | 2020-07-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Theory and Practice in Language Studies (JOURNAL) |
| Journal identifiers | ISSN: 1799-2591 • E-ISSN: 2053-0692 |
| Publisher | Academy Publication (PUBLISHER • GB) |
| DOI | 10.17507/tpls.1007.14 |
| OpenAlex | W3040392325 |
| Language | EN |
As a critical auxiliary method in teaching Chinese as a foreign language, Chinese songs have the characteristics of a strong sense of rhythm, extensive vocabulary, and rich cultural knowledge. Previous studies have mostly discussed the use of Chinese songs in Chinese teaching from the perspective of teaching methods, teaching experiment design and textbooks. There is no specific research on the construction of a database of Chinese song ratings for Chinese learners of different levels. Based on Internet resources, this study collected 9098 Chinese song lyrics and built a database. Based on the analysis of the characteristic data in the database and the method of building a vector space model, four songs of different difficulty levels were divided, which was respectively targeted at Chinese learners of different levels. This research can reduce Chinese teachers 'lesson preparation time and improve teachers' teaching efficiency
Art · Chinese as a foreign language · Chinese language · Database · Linguistics · Literature · Lyrics · Mandarin Chinese · Mathematics education · The Internet · Vocabulary · World Wide Web · Computer Science · Educational Technology and Pedagogy · Educator Training and Historical Pedagogy · Ideological and Political Education · Psychology · Artificial Intelligence
| Highly cited | No |
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