Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 1


Published
on

June 2, 2023


Pages


DOI

Article

Variation mechanisms of metadiscourse verb patterns in English journal articles from intra- and interdisciplinary perspectives

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Authors

Hui Xu Affiliation:
School of Foreign Languages, Zhengzhou Tourism College, Zhengzhou, Henan, 450000, China.


Abstract

As the main form of constructing and disseminating disciplinary knowledge, English journal articles have an important linguistic status and theoretical research value. Among them, metadiscourse, as a typical discourse category presented by academic discourse behaviors, has been attracting attention for its discourse features. In order to explore the variation mechanism of metadiscourse verb patterns more effectively. In this paper, we construct a BiLSTM-verb analysis model in intra- and inter-disciplinary perspectives. The computational analysis shows that the authenticity embodiment of metadiscourse is 89%. The interactivity of metadiscourse is 78%. The meta-discourse needs to deal appropriately with the relationship with previous research, and to highlight its own findings and significance. A longitudinal comparison shows that the first paragraph highlights the conceptual interpretation of subject knowledge and the refinement of propositional relationships, with more emphasis on the abstraction and generality of information presentation. Therefore, its variance fit is up to 23%. The diagrams focus most on explaining the concepts of subject knowledge, indicating the tone and level of reasoning of the discourse, and outlining the purpose and results of the study. Therefore, its variance fit is 19%.


Keywords

English essay, metadiscourse, verb type, variation mechanism, BiLSTM algorithm, 91F20


Citation

Xu, H. (2023). Variation mechanisms of metadiscourse verb patterns in english journal articles from intra- and interdisciplinary perspectives. Applied Mathematics and Nonlinear Sciences, 8(1). https://doi.org/10.2478/amns.2023.1.00126

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