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A lexical network approach to second language development

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  • Heng Chen

    (Guangdong University of Foreign Studies)

Abstract

This study investigates lexical development in second language (L2) learning from the perspective of complex dynamic system theory (CDST) using a complex network method. Based on authentic written output texts from L2 Chinese learners of different proficiency levels and language backgrounds, we successfully differentiate between different proficiency levels using a bi-gram lexical network model at a corpus level. A more in-depth investigation reveals that when compared to traditional lexical complexity indices, such as average word length and hapax legomena percentage (though Guiraud proves to be a robust predictor), the lexical network indices, such as network density and network clusters, provide a more profound understanding of L2 proficiency distinctions and a more precise approximation of the target language. Moreover, our findings illuminate the consistent manifestation of complex network characteristics within L2 Chinese lexical networks across all proficiency levels. Additionally, word association features, encompassing more than just word frequency information, provide comprehensive properties of the interlanguage system, as supported by their information gain values. We argue that studies within the CDST framework should integrate both lexical frequency and lexical network features to gain a comprehensive understanding of L2 lexical development.

Suggested Citation

  • Heng Chen, 2023. "A lexical network approach to second language development," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-9, December.
    • Handle: RePEc:pal:palcom:v:10:y:2023:i:1:d:10.1057_s41599-023-02151-6
    DOI: 10.1057/s41599-023-02151-6
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    References listed on IDEAS

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    1. Bernat Corominas-Murtra & Sergi Valverde & Ricard Solé, 2009. "The Ontogeny Of Scale-Free Syntax Networks: Phase Transitions In Early Language Acquisition," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 12(03), pages 371-392.
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    6. Ciaglia, Floriana & Stella, Massimo & Kennington, Casey, 2023. "Investigating preferential acquisition and attachment in early word learning through cognitive, visual and latent multiplex lexical networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 612(C).
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    Cited by:

    1. Xiaolei Ruan & Yubin Zhu & Auli Toom, 2024. "‘Making it possible’: the complex dynamics of university foreign language teacher agency for research in funding applications," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-16, December.

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