European Association for Digital Humanities 2026
15-19 September 2026
Jagiellonian University, Kraków, Poland
Conference Agenda
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Daily Overview |
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SP6: Structured Speech: Semantic Networks Across Administrative and Scholarly Genres Location: Room 505, al. Mickiewicza 9b Session Chair: Pablo Ruiz Fabo | |
| Presentation 6 | |
To repeat or to shift? A corpus-based modelling of English-to-Polish translation of reporting verbs in EU press releases 1: University of Opole, Poland; 2: Adam Mickiewicz University in Poznań, Poland Positioned in the area of corpus linguistics, translation and multifactorial statistics, this study aims to explore to what extent and why repeatedly used reporting verbs signalling direct or indirect speech were preserved, i.e. when the most frequent Polish equivalent was consistently used, or avoided in translation, i.e. when other reporting verbs, non-reporting verb equivalents, multi-word items or omissions were used. Press releases represent a highly conventionalized genre situated at the interface of institutional communication and journalistic discourse (Jacobs 1999; Catenaccio 2008; Perrin 2013), and EU press releases are produced within a specific organizational setting (European Commission 2003). As a research material, we used carefully selected text samples of a RAPID corpus obtained from the ELRC-SHARE repository (Piperidis et al. 2018): our English-Polish parallel sub-corpus included 2,133 bilingual segments. Each segment was carefully annotated with respect to nine potential predictors, including orthographic, syntactic, semantic and textual ones, that might have impacted repetition shift in translation, which was our dependant binary variable. The study was conducted in two stages. First, we identified translation patterns in the study corpus, and, second, we conducted mixed-effects logistic regression modelling (Kabacoff 2015; Winter 2019) to identify the predictors that impact either the preservation or avoidance of the English original’s reporting verbs repetitions in the Polish translations. The analysis conducted in the R environment (R Core Team 2025) revealed that repetition avoidance is linked with indirect and mixed reported speech and with syntactic changes in translation. Random effects revealed that beyond these fixed predictors repetition shifts are significantly influenced by verb- and text-specific factors. Both fixed and random effects taken together explain 41 observed variability in the data. The insights from regression modelling offer a clear multifactorial picture of translators’ decision-making when handling repetitions in the EU press releases translated in institutional settings from English into Polish. | |
