Abstract

Language is a complex system during whose operation many properties may emerge spontaneously. Using complex network approach, existing studies have found that, in first language (L1) acquisition, syntactic complex network featuring the scale-free and the small-world properties, will emerge at the age of 24 months. For foreign language (L2) learning, however, researchers have not reached a consensus on whether syntactic network with these two properties will emerge. Therefore, this study adopts complex network approach in L2 learning study, attempting to answer this question. In this study, nine networks are constructed on the basis of English compositions by Chinese students. Properties of these networks reveal that the syntactic network featuring these two properties, instead of emerging suddenly at a certain point, has existed at the very beginning of the L2 learning of Chinese students, and persists throughout the entire process of L2 learning, which is different from what has been found in L1 acquisition. The reason is probably that the already established L1 syntactic system provides foundation for L2 syntactic learning, and L2 learners tend to use the entrenched L1 syntactic network to generate L2 syntactic structures. L2 syntactic learning thus is not characterized by a sudden emergence of syntactic system, but a gradual approximation to the target language, with its own unique properties. For the first time, this study provides a tentative answer to L2 syntactic emergence from the perspective of complex network, and provides a macroscopic description of L2 syntactic developmental trajectory.

Highlights

  • The non-linear interaction of subsystems of a complex system usually results in an unpredictable outcome (Santos and Zhao, 2017), which is termed emergence

  • From the very beginning of L2 learning, i.e., the P4 grade, the syntactic networks of L2 learners have displayed the scale-free and small-world network properties, which is different from what has been observed in L1 acquisition

  • The reason is probably that the existent L1 syntactic system has already provided foundation for L2 syntax learning, and the entrenched L1 knowledge constrains the learning of new L2 syntactic knowledge

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Summary

Introduction

The non-linear interaction of subsystems of a complex system usually results in an unpredictable outcome (Santos and Zhao, 2017), which is termed emergence It is defined as “the first systematic use of a structure” MacWhinney (2015) listed 19 important emergentist mechanisms of language, including proliferation, competition, generalization, error correction, selforganization, topological organization, etc. He introduced some specific quantitative methods, such as Parallel Distributed Processing, Self-Organizing Feature Maps, and Dynamic Systems Theory, which were utilized to account for the emergence of language in previous studies. MacWhinney and O’Grady (2015) have not mentioned the complex network approach, which is another effective way to analyze and explain the emergent properties of human languages

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