Data-Driven Learning and Terminological Collocations

a Challenge for legal Translation Training

Authors

DOI:

https://doi.org/10.11606/issn.2236-4242.v33i1p49-67

Keywords:

Legal Translation, Training, Data-Driven Learning, Terms, Terminological Collocations

Abstract

In this article, we propose, 1) to reflect on the challenge of initial and/or continuous training of legal translators, particularly concerning the correct use of terms and terminological collocations, 2) to provide a teaching methodology to be applied in the translation training, based on the principles of the Data-Driven Learning and on our teaching experience at the university where we work and 3) to demonstrate the scientific and pedagogical advantages of Data-Driven Learning in acquiring a strategic competence in translation.

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Published

2020-03-25

Issue

Vol. 33 No. 1 (2020): Semântica e Morfologia em Terminologia

Section

Articles

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Copyright (c) 2020 Linha D'Água

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How to Cite

DECHAMPS, Christina. Data-Driven Learning and Terminological Collocations: a Challenge for legal Translation Training. Linha D’Água, São Paulo, v. 33, n. 1, p. 49–67, 2020. DOI: 10.11606/issn.2236-4242.v33i1p49-67. Disponível em: https://periodicos.usp.br/linhadagua/article/view/163405.. Acesso em: 10 jun. 2024.

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