Proceedings chapter
English

Evaluating tools for legal translation research needs: The case of fourth-generation concordancers

Presented atTampere, Finland, 2-3 May 2016
Published inAnnikki Liimatainen, Arja Nurmi, Marja Kivilehto, Leena Salmi, Anu Viljanmaa and Melissa Wallace (Ed.), Legal translation and court interpreting : ethical values, quality, competence training, p. 357-391
PublisherBerlin : Frank & Timme
Collection
  • Forum für Fachsprachen-Forschung; 140
Publication date2017
Abstract

The corpus-based analysis of legal discursive features is key for research on legal translation, as well as other related fields, such as comparative legal linguistics, legal lexicography and legal linguistics. This chapter addresses methodological considerations relevant to the selection of tools to analyse legal discourses for legal translation research purposes. The results of a comparative analysis of currently available fourth-generation concordancers – CPQweb, Sketch Engine, and ParaVoz – are presented with a view to verifying their suitability for a specific research project, according to the project's context of use. These tools are tested in accordance with the relevant guidelines and norms designed for software evaluation.

Keywords
  • Legal discourse
  • Corpus linguistics
  • Concordancer
  • Fourth-generation concordancer
  • Corpus tools
  • Legal translation
  • Software evaluation
  • EAGLES
NoteTitre de la conférence : TransLaw 2016: Translation and Interpreting as a Means of Guaranteeing Equality under Law
Citation (ISO format)
CERUTTI BENITEZ, Giorgina. Evaluating tools for legal translation research needs: The case of fourth-generation concordancers. In: Legal translation and court interpreting : ethical values, quality, competence training. Annikki Liimatainen, Arja Nurmi, Marja Kivilehto, Leena Salmi, Anu Viljanmaa and Melissa Wallace (Ed.). Tampere, Finland. Berlin : Frank & Timme, 2017. p. 357–391. (Forum für Fachsprachen-Forschung)
Main files (1)
Proceedings chapter (Published version)
accessLevelRestricted
Identifiers
  • PID : unige:104703
ISBN9783732902958
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8downloads

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