A Recognition Learning System Based on Poetry Database and Text Pattern Function
Wang Jinli, Zheng Xiang
International Journal of Computational Linguistics Research, Vol. 14, No. 4, 2023.
DOI: https://doi.org/10.6025/jcl/2023/14/4/105-112
Link: https://www.dline.info/jcl/fulltext/v14n4/jclv14n4_1.pdf
Abstract:
This article introduces a recognition learning system based on a poetry database and text pattern function. The system aims to help students better understand and remember poetry and improve the efficiency of Chinese language learning. The systemâ€™s core components include a poetry database, text pattern recognition, and personalized learning modules. The poetry database contains a wealth of poetry works, providing students with rich learning resources. The text pattern recognition module can automatically recognize patterns in poetry, such as rhyme and contrast, to help students understand the structural characteristics of poetry. The personalized learning module provides suggestions and exercises based on studentsâ€™ learning progress and abilities to achieve precise teaching.