Applied Corpus Linguistics Template
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About the Applied Corpus Linguistics format
Applied Corpus Linguistics is a peer-reviewed journal published by Elsevier, covering Discourse Analysis in Language Studies, Second Language Acquisition and Learning, Natural Language Processing Techniques.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Applied Corpus Linguistics 12 (2023) 45–58.
Formats any DOI in Applied Corpus Linguistics style. No sign-up. |
| Publishes research in | Discourse Analysis in Language Studies Second Language Acquisition and Learning Natural Language Processing Techniques EFL/ESL Teaching and Learning Text Readability and Simplification |
| ISSN | 2666-7991 |
| Citation impact (2-yr) | 1.67 |
| h-index | 21 |
| i10-index | 38 |
| Total citations | 1,826 |
| Article processing charge | $1,400 |
| Top institutions publishing here | Northern Arizona University |
| Journal website | www.journals.elsevier.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Applied Corpus Linguistics per year
Citation impact of Applied Corpus Linguistics by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Applied Corpus Linguistics
This article explores the potential advantages of corpora over generative artificial intelligence (GenAI) in understanding language patterns and usage, while also acknowledging the potential of GenAI to address some of the main shortcomings of corpus-based data-driven learning (DDL). One of the main advantages of corpora is that we know exactly the domain of texts from…
This paper explores the potential of generative artificial intelligence technology, specifically ChatGPT, for advancing corpus approaches to discourse studies. The contribution of artificial intelligence technologies to linguistics research has been transformational, both in the contexts of corpus linguistics and discourse analysis. However, shortcomings in the efficacy of such technologies for conducting automated qualitative analysis have…
Understanding the reception of public health messages in public-facing communications is of key importance to health agencies in managing crises, pandemics, and other health threats. Established public health communications strategies including self-efficacy messaging, fear appeals, and moralising messaging were all used during the Coronavirus pandemic. We explore the reception of public health messages to understand…