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<p>The study of metadiscourse word resources is an important way to reveal academic knowledge constructs and genre features in English papers. This paper selects intra- and interdisciplinary English academic papers as data samples, and the text representation is based on the vector space model. The text similarity is calculated using the word movement distance model to complete the clustering based on the density peak, and then the semantic annotation of metadiscourse verb patterns is performed using the conditional random field. Then, the intra- and interdisciplinary metadiscourse annotations are compared to analyze the variation of verb patterns. The intra-disciplinary variation of metadiscourse verb patterns was mainly found using attitude markers, where the log-likelihood ratios of 48.56, 30.25, and 35.64 were obtained for affirmative, critical, and critical declarative attitudes, respectively. In interdisciplinary studies, basic disciplines preferred to use verb patterns as transitions, while applied disciplines preferred to express the author’s point of view. The study of metadiscourse verb patterns effectively enriches the linguistic resources in academic English teaching and deepens the understanding of the characteristics of disciplinary essay genres.</p>
</abstract>

The study of metadiscourse word resources is an important way to reveal academic knowledge constructs and genre features in English papers. This paper selects intra- and interdisciplinary English academic papers as data samples, and the text representation is based on the vector space model. The text similarity is calculated using the word movement distance model to complete the clustering based on the density peak, and then the semantic annotation of metadiscourse verb patterns is performed using the conditional random field. Then, the intra- and interdisciplinary metadiscourse annotations are compared to analyze the variation of verb patterns. The intra-disciplinary variation of metadiscourse verb patterns was mainly found using attitude markers, where the log-likelihood ratios of 48.56, 30.25, and 35.64 were obtained for affirmative, critical, and critical declarative attitudes, respectively. In interdisciplinary studies, basic disciplines preferred to use verb patterns as transitions, while applied disciplines preferred to express the author’s point of view. The study of metadiscourse verb patterns effectively enriches the linguistic resources in academic English teaching and deepens the understanding of the characteristics of disciplinary essay genres.

Variation in metadiscourse verb patterns in English academic papers from intra- and interdisciplinary analysis

Hunan University of Science and Engineering

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The study of metadiscourse word resources is an important way to reveal academic knowledge constructs and genre features in English papers. This paper selects...

Variation in metadiscourse verb patterns in English academic papers from intra- and interdisciplinary analysis

Published Online: Sep 20, 2023

Page range: -

Received: Dec 12, 2022

Accepted: Mar 31, 2023

DOI: https://doi.org/10.2478/amns.2023.2.00346

Keywords
English essay, Metadiscourse verb pattern, Vector space model, Word movement distance model, Density peak clustering, Conditional random field

© 2023 Jianfu Tang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Variation in metadiscourse verb patterns in English academic papers from intra- and interdisciplinary analysis

Published Online: Sep 20, 2023

Page range: -

Received: Dec 12, 2022

Accepted: Mar 31, 2023

DOI: https://doi.org/10.2478/amns.2023.2.00346

KeywordsEnglish essay, Metadiscourse verb pattern, Vector space model, Word movement distance model, Density peak clustering, Conditional random field

© 2023 Jianfu Tang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
English essay, Metadiscourse verb pattern, Vector space model, Word movement distance model, Density peak clustering, Conditional random field