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Construction of an Assessment System for Business English Linguistics Based on RNN Multidimensional Models

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  • Yu Shi
  • Hu Shi
  • Man Fai Leung

Abstract

The current teaching evaluation system of the course “Introduction to Business English Linguistics†has many problems and should be reformed according to the requirements of the relevant professional syllabus. This paper proposes a recurrent neural network (RNN) modelling technique, which has achieved good results in modelling business English language models. The RNN modelling method is applied to Chinese language modelling according to the characteristics of Chinese language, and the advantages of the two models are combined to propose a fusion model. The experimental results demonstrate that this paper focuses on the process, diversity, and humanity of teaching evaluation and discusses the construction of the evaluation system model of the course “Introduction to Business English Linguistics†in terms of the content and criteria of teaching evaluation and the methods of teaching evaluation, so as to provide a new model for the teaching reform of the course “Introduction to Business English Linguistics†.

Suggested Citation

  • Yu Shi & Hu Shi & Man Fai Leung, 2022. "Construction of an Assessment System for Business English Linguistics Based on RNN Multidimensional Models," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-8, March.
    • Handle: RePEc:hin:jnlmpe:8446281
    DOI: 10.1155/2022/8446281
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