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Part of book or chapter of book . 2018
License: CC BY
Data sources: Datacite
ZENODO
Part of book or chapter of book . 2018
License: CC BY
Data sources: Datacite
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Las nuevas tecnologías aplicadas a la didáctica de la traducción en un corpus de sentencias de la UE

Authors: Andrades, Arsenio;

Las nuevas tecnologías aplicadas a la didáctica de la traducción en un corpus de sentencias de la UE

Abstract

The article “New Technologies Applied to Translation Teaching in a Corpus of EU Judgments” examines the integration of technological tools and corpus linguistics into the teaching of legal translation. In response to the overabundance of online resources, the study proposes the compilation of a bilingual ad hoc corpus (English-Spanish) of judgments from the Court of Justice of the European Union, as a pedagogical instrument to help students identify authentic terminological and phraseological patterns, develop translation strategies, and enhance professional competence. The methodology involves selecting and organizing 50 judgments (approximately 450,000 words), exploiting the corpus with WordSmith Tools, and analyzing frequent phraseological units (PFUs) and specialized terminology. The results enable the creation of bilingual glossaries, the identification of translation equivalents, and the recognition of stereotyped legal formulas, thus supporting informed translation decisions in real legal contexts. The study concludes that incorporating electronic corpora into translation pedagogy promotes active, autonomous, and contextually grounded learning, and that the methodology can be applied to other international organizations and specialized text types, providing highly valuable tools for both students and trainee translators.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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