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https://doi.org/10.17559/TV-20200914173747

Readability Assessment for Chinese L2 Sentences: An Extended Knowledge base and Comprehensive Evaluation Model-based Method

Shuqin Zhu* ; Teacher's College of Beijing Union University, School of Artificial Intelligence, Beijing Normal University, No.5, Waiguanxiejie St, Chaoyang District, Beijing, 100111, China
Jihua Song* ; School of Artificial Intelligence, Beijing Normal University, No.19, Xinjiekouwai St, Haidian District, Beijing, 100875, China
Weiming Peng ; School of Artificial Intelligence, Beijing Normal University, No.19, Xinjiekouwai St, Haidian District, Beijing, 100875, China
Jingbo Sun ; School of Artificial Intelligence, Beijing Normal University, No.19, Xinjiekouwai St, Haidian District, Beijing, 100875, China

Puni tekst: engleski, pdf (578 KB) str. 211-221 preuzimanja: 44* citiraj
APA 6th Edition
Zhu*, S., Song*, J., Peng, W. i Sun, J. (2021). Readability Assessment for Chinese L2 Sentences: An Extended Knowledge base and Comprehensive Evaluation Model-based Method. Tehnički vjesnik, 28 (1), 211-221. https://doi.org/10.17559/TV-20200914173747
MLA 8th Edition
Zhu*, Shuqin, et al. "Readability Assessment for Chinese L2 Sentences: An Extended Knowledge base and Comprehensive Evaluation Model-based Method." Tehnički vjesnik, vol. 28, br. 1, 2021, str. 211-221. https://doi.org/10.17559/TV-20200914173747. Citirano 16.04.2021.
Chicago 17th Edition
Zhu*, Shuqin, Jihua Song*, Weiming Peng i Jingbo Sun. "Readability Assessment for Chinese L2 Sentences: An Extended Knowledge base and Comprehensive Evaluation Model-based Method." Tehnički vjesnik 28, br. 1 (2021): 211-221. https://doi.org/10.17559/TV-20200914173747
Harvard
Zhu*, S., et al. (2021). 'Readability Assessment for Chinese L2 Sentences: An Extended Knowledge base and Comprehensive Evaluation Model-based Method', Tehnički vjesnik, 28(1), str. 211-221. https://doi.org/10.17559/TV-20200914173747
Vancouver
Zhu* S, Song* J, Peng W, Sun J. Readability Assessment for Chinese L2 Sentences: An Extended Knowledge base and Comprehensive Evaluation Model-based Method. Tehnički vjesnik [Internet]. 2021 [pristupljeno 16.04.2021.];28(1):211-221. https://doi.org/10.17559/TV-20200914173747
IEEE
S. Zhu*, J. Song*, W. Peng i J. Sun, "Readability Assessment for Chinese L2 Sentences: An Extended Knowledge base and Comprehensive Evaluation Model-based Method", Tehnički vjesnik, vol.28, br. 1, str. 211-221, 2021. [Online]. https://doi.org/10.17559/TV-20200914173747

Sažetak
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.

Ključne riječi
Chinese L2 teaching; comprehensive evaluation model; extended knowledge base; sentence readability

Hrčak ID: 251552

URI
https://hrcak.srce.hr/251552

Posjeta: 105 *