Écho des études romanes 2022, 18(1):81-98 | DOI: 10.32725/eer.2022.006
Annotation computationnelle des réseaux endophoriques dans les textes traduits : corpus d’apprenants en traductionFrench
- Université de Bohême du Sud, Èeské Budìjovice
Mots clés: linguistique textuelle, cohésion, mécanismes endophoriques, linguistique contrastive, traduction
Computational annotation of endophoric networks in translated texts: a corpus of texts produced by trainees in translation
The aim of this paper is to present the corpus of non-literary texts translated from Spanish into Czech; the translations being elaborated by our translation students. We propose to evaluate the functionalities of two computational tools (Analec and Sketch Engine) in the field of visualization and annotation of coreference elements in translated texts. The electronic corpus allows us to contrast the configurations of the coreference chains in the source and target texts and to analyse subsequently how the translator learners perceive and translate the relationships between the elements of these chains.
Keywords: linguistics, cohesion, endophoric mechanisms, contrastive linguistics, translation
Accepted: October 14, 2022; Published: November 14, 2022 Show citation
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