Abstract
Foreigners make various grammatical errors when learning Chinese due to the negative transfer of their mother tongue, learning strategies, etc. At present, the research on grammatical errors mainly focuses on a certain word or a certain kind of errors, resulting in a lack of comprehensive understanding. In this paper, a statistical analysis on large-scale data sets of grammatical errors made by second language learners is conducted, including words with grammatical errors and their quantities. The statistical analysis gives people a more comprehensive understanding of grammatical errors and have certain guiding significance for teaching Chinese as a second language (TCSL). Because of the large proportion of grammatical errors of “的[de](of)”, the usages of “的[de](of)” are integrated into automatic recognition of Chinese grammatical errors. Experimental results show that the performance is overall improved.
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Acknowledgments
This research is supported by the National Social Science Fund of China (No. 18ZDA315), the Key Scientific Research Program of Higher Education of Henan (No. 20A520038), the Science and Technology Project of Science and Technology Department of Henan Province (No. 192102210260), the China National Social Science Foundation Mega-Project (17ZDA318), the Henan Provincial Project of Soft Science (No. 182400410454), and the Henan Project of Philosophy and Social Science (No. 19BYY016).
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Han, Y., Zhong, M., Zhou, L., Zan, H. (2020). Statistical Analysis and Automatic Recognition of Grammatical Errors in Teaching Chinese as a Second Language. In: Hong, JF., Zhang, Y., Liu, P. (eds) Chinese Lexical Semantics. CLSW 2019. Lecture Notes in Computer Science(), vol 11831. Springer, Cham. https://doi.org/10.1007/978-3-030-38189-9_42
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