Bingbing Yang

Also published as: 冰冰


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2020

pdf bib
基于词语聚类的汉语口语教材自动推送素材研究(Study on Automatic Push Material of Oral Chinese Textbook Based on Word Clustering)
Bingbing Yang (杨冰冰) | Huizhou Zhao (赵慧周) | Zhimin Wang (王治敏)
Proceedings of the 19th Chinese National Conference on Computational Linguistics

新冠肺炎的蔓延使得线上移动教学成为教育发展的必然趋势,本文以适合汉语教材自动推送的口语素材为研究对象,基于10341条生活类口语语料,对词汇的整体特点进行计量分析,在此基础上使用词向量模型及Kmeans算法对全部词语进行聚类,参考词语聚类结果及对口语语料话题和场景的考察,构建了一个包含15个一级话题、102个二级话题及81个交际场景的汉语口语话题-场景素材库。同时对各级话题常用词进行了总结。本文可为教材自动定制的素材库提供资源支持。