Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

November 5, 2024


Pages


DOI

Article

Using Big Data Analysis to Study Pedagogical Strategies for Conjunctive Bisyllabic Verb Errors in Chinese Second Language Learners


Authors

Jingjing Song Affiliation:
School of International Languages, Xiamen University of Technology, Xiamen, Fujian, 361024, China.
and Xinying Zhang Affiliation:
School of International Languages, Xiamen University of Technology, Xiamen, Fujian, 361024, China.


Abstract

Conjugate diphthongs are a class of words with specific metrical morphology and stylistic features in the written formal corpus of modern Chinese, which need to be combined with a disyllabic constituent in the bare-bones form to form the syllable pattern of “double+double,” which has been under-attended by the teaching community. Within the framework of metrical grammar and stylistic grammar, we statistically analyze the usage bias of conjunctive bisyllabic verbs in the HSK Dynamic Composition Corpus and find that these kinds of words, due to their metrical patterns, stylistic functions, and relatively abstract semantic features, cause a large proportion of metrical syllabic biases that are easy to gather. The bias is caused by both the difficulty of vocabulary acquisition and issues with textbooks and teaching, as well as subjective reasons like learning strategies. In this regard, it is suggested that existing textbooks should be adapted, teachers’ teaching methods should be improved, and learners’ morphological awareness should be enhanced.


Keywords

Chinese international education, Conjugated bilabial verbs, Bias analysis, International students, 94A16


Citation

Song, J. & Zhang, X. (2024). Using big data analysis to study pedagogical strategies for conjunctive bisyllabic verb errors in chinese second language learners. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-3029

Published by: Engineering Journals

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