Abstract
The framework of lexical richness proposed by Read (2000) is an important tool for measuring the quality of writing, but this framework has been rarely applied into the metrics of oral narrative quality. Based on the measured data of HSK (Advanced) oral tests, this research selects four dimensions of lexical richness: lexical diversity, lexical sophistication, lexical density and lexical errors and 16 measurement indexes to explore the correlation between lexical richness and the quality of oral narratives. Furthermore, we examine the predictive validity of each index for oral achievements, pick out the key indexes which can reflect the quality of CSL learners’ oral narratives and conduct a regression model. The research results show that Guiraud index, the ratio of lexical errors, the ratio of level C vocabularies and lexical density III can effectively test the quality of oral narratives.
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Notes
- 1.
Corpus Word Parser is from WWW.CNCORPUS.ORG.
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Acknowledgments
This project was supported by the Key Projects of National Social Science Fund of China (Award Number 17AYY011). The content is solely the responsibility of the authors and does not necessarily represent the official views of National Social Science Fund of China. We would like to thank the examines and test centers who helped us gather the data.
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Ma, Q., Chai, X. (2022). The Relationship Between Lexical Richness and the Quality of CSL Learners’ Oral Narratives. In: Dong, M., Gu, Y., Hong, JF. (eds) Chinese Lexical Semantics. CLSW 2021. Lecture Notes in Computer Science(), vol 13250. Springer, Cham. https://doi.org/10.1007/978-3-031-06547-7_7
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