杨冰冰,赵慧周,王治敏. 基于词语聚类的汉语口语自动推送素材研究[J]. 中文信息学报, 2022, 36(6): 155-161.
YANG Bingbing, ZHAO Huizhou, WANG Zhimin. Automatic Push of Spoken Chinese Learning Materials Based on Word Clustering. , 2022, 36(6): 155-161.
Automatic Push of Spoken Chinese Learning Materials Based on Word Clustering
YANG Bingbing1, ZHAO Huizhou2, WANG Zhimin1
1.Research Institute of International Chinese Language Education, Beijing Language and Culture University, Beijing 100083, China; 2.School of Information Science, Beijing Language and Culture University, Beijing 100083, China
Abstract：The COVID-19 has made online teaching an inevitable trend. This paper presents the materials suitable for automatic pushing of Chinese textbooks. Firstly, we analyze the overall characteristics of vocabulary based on 10341 spoken Chinese corpus. On this basis, according to the Chinese word vector data published by Tencent AL LAB, we use the K-means algorithm to cluster the spoken words. And we construct a Chinese spoken topic-scene material library with reference to the word clustering results and the investigation of spoken corpus topics and scenes. The database containing 15 primary topics, 102 secondary topics and 81 communicative scenes. We also summarize the common words of topics at all levels. This paper can provide resource support for the material library of automatic customization of teaching materials.
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2022, Vol. 36 
