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Article . 2024 . Peer-reviewed
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Legal translators’ perception of machine translation and its implications on the methodology of legal translator training

Authors: Balogh, Dorka;

Legal translators’ perception of machine translation and its implications on the methodology of legal translator training

Abstract

The paper introduces the results of a questionnaire in which qualified legal translators with a law degree reflect on their practical experiences and impressions regarding machine translation. The 37 respondents of the survey – all of them law graduates – obtained their legal translator qualifications at a post-graduate specialist training course that has been running at the Faculty of Law of the Pázmány Péter Catholic University, Budapest since 2004. The questionnaire was designed with the aim of surveying the impact of the rapid development of machine translation quality on the rationale and viability of legal translator training, and to detect the changes needed to be implemented in the structure of the training in the opinion of practising legal translators. The data received partly confirmed the preliminary assumption that although there is still unwavering demand for such a training, significant changes in its structure and curriculum would be indispensable. The responses provide insight into legal translators’ views on the nature of their work in the changed translation environment (including, e.g., employment opportunities or their own attitude towards the translation work). The results of the survey may provide methodological clues not only for legal translation trainers but also for translator trainers of other special fields.

Country
Hungary
Keywords

P0 Philology. Linguistics / filológia, 418, LB2300 Higher Education / felsőoktatás, nyelvészet, K Law (General) / jogtudomány általában, 410

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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
gold