TEACHING LEGAL TRANSLATION – A CASE STUDY OF MAKING STUDENTS AWARE OF TRANSLATION RISKS RESULTING FROM PLURICENTRISM

Autor: Aleksandra Matulewska, Joanna Kic-Drgas, Paula Trzaskawka
Rok vydání: 2021
Předmět:
Zdroj: Fachsprache. 43:52-74
ISSN: 2523-9201
1017-3285
DOI: 10.24989/fs.v43i1-2.1927
Popis: This article examines the phenomenon of pluricentrism in languages for legal purposes in the contexts of legal translation teaching. The purpose of the research is to discuss the teaching problems stemming from the coexistence of different language varieties of pluricentric languages in a legal setting, and how this can affect translation decisions. The research focuses on English and German. The authors apply the method of comparative law analysis and the parametriccomparison to identify differences and similarities in legal terminology, in order to develop the resulting didactic implications for legal translation courses. The methods used in the article encompass: the analysis of comparable texts, the terminological analysis of research material (the method of comparative law analysis and the parametric comparison of terminology), the theory of skopos, and an analysis of the relevant literature. The research material mostly consisted of civil law documents of countries where the languages under discussion are spoken. The research hypothesis is that if a given language is an official language in more than one country, the legal languages are not uniform and vary in respect to national legal language variants (similar to general language), and consequently there is a risk of making an error. Thus, the students of translation studies must be made aware of the resultant differences in order to solve translation problems more efficiently and to reduce the number of errors in specialized translation. The analysis of the source text through the prism of terminology should be related to the legal system of the country concerned. Students of translation courses should be aware of the semantic differences between legal terms in order to find proper equivalents.
Databáze: OpenAIRE