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            Chapter 2 Implications of text categorisation for corpusbased legal translation research

            The case of international institutional settings

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            Author(s)
            Ramos, Fernando Prieto
            Language
            English
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            Abstract
            This chapter highlights the relevance of text categorisation for research in legal translation by focusing on institutional translation settings, namely: the European Union (EU), the United Nations (UN) and the World Trade Organization (WTO), and their corresponding adjudicative bodies.1 After briefly reviewing recurrent issues and models of legal text classification (section 2), a multidimensional approach is applied to the multilingual text production of the three representative institutional translation settings during three years over the span of a decade (2005, 2010 and 2015), as part of the project “Legal Translation in International Institutional Settings: Scope, Strategies and Quality Markers” (LETRINT) (section 3). The resulting subdivisions are integrated into a categorisation matrix and discussed as a way of illustrating the relative nature and implications of text classifications. The fine-grained description of corpus design and representativeness, technical aspects of corpus compilation and full taxonomies of genres are not addressed in this chapter.
            Book
            Research Methods in Legal Translation and Interpreting; Research Methods in Legal Translation and Interpreting; Research Methods in Legal Translation and Interpreting
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/157344
            Keywords
            legal translation; institutional translation settings; EU; UN; WTO; thema EDItEUR::C Language and Linguistics; thema EDItEUR::L Law
            ISBN
            9781351031226
            Publisher
            Taylor & Francis
            Publisher website
            http://www.taylorandfrancis.com/
            Publication date and place
            2019
            Imprint
            Routledge
            Pages
            20
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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