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Phraseology in Specialised Language: A Contrastive Analysis of Mitigation in Academic Papers

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Computational and Corpus-Based Phraseology (EUROPHRAS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11755))

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Abstract

The hypothesis of this paper is that writers with different academic backgrounds employ different mitigation devices and use phraseological units in a particular way in English research papers. The main objective of this study is therefore to analyse whether mitigation devices are used with different frequencies in the specific fields of engineering, medicine and linguistics. The corpus of this study consisted of academic papers published in international research journals devoted to these three disciplines. Mitigation devices were then detected and analysed in context with METOOL, a tool designed to identify metadiscoursal devices (research project reference FFI2016-77941-P). The data obtained revealed that there were in fact differences in the use of the phraseological units associated to mitigation devices by writers that belong to different specific fields, even though in theory they share the same genre and academic style.

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Authors and Affiliations

  1. Universitat Politècnica de València, Camino de Vera, 14, 46022, Valencia, Spain

    María Luisa Carrió-Pastor

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  1. María Luisa Carrió-Pastor
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Correspondence to María Luisa Carrió-Pastor .

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Editors and Affiliations

  1. University of Malaga, Malaga, Spain

    Gloria Corpas Pastor

  2. University of Wolverhampton, Wolverhampton, UK

    Ruslan Mitkov

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Carrió-Pastor, M.L. (2019). Phraseology in Specialised Language: A Contrastive Analysis of Mitigation in Academic Papers. In: Corpas Pastor, G., Mitkov, R. (eds) Computational and Corpus-Based Phraseology. EUROPHRAS 2019. Lecture Notes in Computer Science(), vol 11755. Springer, Cham. https://doi.org/10.1007/978-3-030-30135-4_5

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  • DOI: https://doi.org/10.1007/978-3-030-30135-4_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30134-7

  • Online ISBN: 978-3-030-30135-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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