An automatic composition scoring system for oversea Chinese students

Lining Liu; Yongquan Li

doi:10.1117/12.2659378

30 November 2022 An automatic composition scoring system for oversea Chinese students

Lining Liu, Yongquan Li

Proceedings Volume 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022); 1245626 (2022) https://doi.org/10.1117/12.2659378
Event: International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 2022, Qingdao, China

Abstract

In order to overcome the influence of subjective factors such as rater effect and improve the speed and accuracy of largescale composition scoring, the research on automated essay scoring has increasingly become a hot topic in language assessment. At the same time, the characteristics of oversea Chinese test make it different from Hanyu Shuiping Kaoshi (HSK). With the help of the word list and vocabulary for oversea Chinese, we trained and test four models. By comprehensively evaluating the performance of each grade, we can find that convolutional neural network (CNN) has the best prediction effect on compositions, and can be used as an auxiliary AES to provide reference value for oversea Chinese teaching.

Citation Download Citation

Lining Liu and Yongquan Li "An automatic composition scoring system for oversea Chinese students", Proc. SPIE 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 1245626 (30 November 2022); https://doi.org/10.1117/12.2659378

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