基于人工智能技术的智慧文本抽取算法在教育出版中的应用路径探析——以初中语文读本的选文开发为例  

Application Path Analysis of Intelligent Text Extraction Algorithm Based on Artificial Intelligence Technology in Educational Publishing——Taking the Development of Selected Articles in Secondary School Chinese Language Reading Books as an Example

作　　者：李嘉哲 王贝伦 陈月瑶 Jiazhe Li;Beilun Wang;Yueyao Chen(Department of Chinese Language and Literature,Peking University,Beijing 100871,China;People’s Education Press,Curriculum&Teaching Materials Research Institute,Beijing 100081,China;School of Computer Science and Engineering,Southeast University,Nanjing 211189,China)

机构地区：[1]北京大学中国语言文学系,北京100871 [2]人民教育出版社课程教材研究所,北京100081 [3]东南大学计算机科学与工程学院,南京211189

出　　处：《中国数字出版》2024年第4期79-85,共7页CHINA DIGITAL PUBLISHING

基　　金：国家社会科学基金“十四五”规划课题“基于国家事权的语文教材编制理论体系构建研究”(BHA220136)项目;教育部高校思想政治工作专项精品项目“‘一体·两翼二驱’新时代网络育人模式的构建与实践”项目的支持

摘　　要：在我国教育出版市场,语文教辅特别是语文课外读物占有较大的比例。语文课外读物常常分为整本型读物(即常说的“名著”)和文选型读物(即常说的“读本”),而读本编写的重中之重就是选文。文章以近年较流行的人工智能为背景,以配套教材使用的各类初中语文读本选文开发为示例,尝试提出一种与传统人工选文相比更加方便快捷的智慧文本抽取算法,为语文教辅的选文开发提供更加多元的方式,从而更好地服务教育出版的数字化和智能化。In the existing education and publishing market in China,Chinese language teaching aids,especially Chinese extracurricular reading materials,account for a large proportion.Chinese extracurricular reading materials are often divided into whole book reading materials(commonly known as "classics") and text selection reading materials(commonly known as "reading books"), and the most important aspect of reading book writing is text selection.This article takes the popular artificial intelligence in recent years as the background,and takes the development of various secondary school Chinese reading materials used in supporting textbooks as an example.It attempts to propose a more convenient and efficient intelligent text extraction algorithm compared to traditional manual text selection,providing more diverse ways for the development of Chinese teaching aids,also to serve the digitization and intelligence of educational publishing better.

关 键 词：人工智能 智慧文本抽取算法 语文读本 选文开发 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] G237.9[自动化与计算机技术—控制科学与工程] G633.3[文化科学]