A Study on the Influence of Computer Corpus Software on College Students' English Vocabulary Learning

Authors

  • Xiaoying Wang School of International Studies, Zhejiang University
  • Dan Zhang School of International Studies, Zhejiang University

DOI:

https://doi.org/10.3991/ijet.v12i08.7137

Keywords:

computer corpus, college English vocabulary, BNC (British National Corpus), traditional vocabulary teaching

Abstract


English vocabulary and lexical collocation and use are the basic manifestations of college students' English proficiency and ability. This paper puts forward the application of computer corpus software to the college vocabulary teaching. Through the definition of probability, application prospect and theoretical explanation, this paper expatiates on the process of computer corpus serving college English vocabulary teaching. With English national corpus (BNC) as the software basis, we conducted an empirical research on vocabulary teaching. Finally, the differences between computer corpus teaching and traditional vocabulary teaching are analyzed and discussed through experimental comparison. The experimental results show that the computer corpus based collage English vocabulary practice is of larger breadth, deeper depth and higher initiative in vocabulary learning.

Author Biographies

Xiaoying Wang, School of International Studies, Zhejiang University

Xiaoying Wang is a Doctoral Candidate at School of International Studies of Zhejiang University, Hangzhou, China. She mainly focuses on Corpus Linguistics, especially the interface between lexis and grammar, and phraseology.

Dan Zhang, School of International Studies, Zhejiang University

Dan Zhang is a Doctoral Candidate at School of International Studies of Zhejiang University, Hangzhou, China. She mainly focuses on Corpus Linguistics, Translational Studies and Contrastive Linguistics.

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Published

2017-08-01

How to Cite

Wang, X., & Zhang, D. (2017). A Study on the Influence of Computer Corpus Software on College Students’ English Vocabulary Learning. International Journal of Emerging Technologies in Learning (iJET), 12(08), pp. 27–35. https://doi.org/10.3991/ijet.v12i08.7137

Issue

Vol. 12 No. 08 (2017)

Section

Papers

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