详细信息
Readability Assessment for Chinese L2 Sentences: An Extended Knowledge base and Comprehensive Evaluation Model-based Method ( SCI-EXPANDED收录 EI收录)
文献类型:期刊文献
英文题名:Readability Assessment for Chinese L2 Sentences: An Extended Knowledge base and Comprehensive Evaluation Model-based Method
作者:Zhu, Shuqin[1,2];Song, Jihua[3];Peng, Weiming[3];Sun, Jingbo[3]
第一作者:朱淑琴;Zhu, Shuqin
通讯作者:Zhu, SQ[1];Zhu, SQ[2];Song, JH[3]
机构:[1]Beijing Union Univ, Teachers Coll, 5 Waiguanxiejie St, Beijing 100111, Peoples R China;[2]Beijing Normal Univ, Sch Artificial Intelligence, 5 Waiguanxiejie St, Beijing 100111, Peoples R China;[3]Beijing Normal Univ, Sch Artificial Intelligence, 19 Xinjiekouwai St, Beijing 100875, Peoples R China
第一机构:北京联合大学师范学院
通讯机构:[1]corresponding author), Beijing Union Univ, Teachers Coll, 5 Waiguanxiejie St, Beijing 100111, Peoples R China;[2]corresponding author), Beijing Normal Univ, Sch Artificial Intelligence, 5 Waiguanxiejie St, Beijing 100111, Peoples R China;[3]corresponding author), Beijing Normal Univ, Sch Artificial Intelligence, 19 Xinjiekouwai St, Beijing 100875, Peoples R China.|[1141711]北京联合大学师范学院;[11417]北京联合大学;
年份:2021
卷号:28
期号:1
起止页码:211-221
外文期刊名:TEHNICKI VJESNIK-TECHNICAL GAZETTE
收录:;EI(收录号:20210809937227);Scopus(收录号:2-s2.0-85100834365);WOS:【SCI-EXPANDED(收录号:WOS:000636673200029)】;
基金:This paper was supported by the National Natural Science Foundation of China (Grant No. 61877004 and Grant No. 62007004) and a key project of the National Social Science Foundation of China (Grant No. 18zda295).
语种:英文
外文关键词:Chinese L2 teaching; comprehensive evaluation model; extended knowledge base; sentence readability
摘要:The paper assesses sentence readability based on the standards in the field of Chinese L2 teaching. In view of the inapplicability of the field standards in text readability assessment, the study focuses on two aspects. On the one hand, the graded lexicon of the HSK syllabus is extended to obtain a large-scale graded lexical knowledge base. On the other hand, sentence-based features in the existing teaching grammatical knowledge base are supplemented to achieve the automatic recognition of grammatical points and obtain quantitative grammatical indicators regarding sentence readability. Besides, based on the extended knowledge bases, comprehensive evaluation models are created to calculate the lexical and grammatical difficulties of sentences, as well as the sentence readability. The results of experiments show that the sentence readability is well differentiated in all levels of texts. Furthermore, the correlation between sentence readability and text readability is significantly improved in comparison with existing methods.
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