Implementing neural machine translation at la Mobilière

Diplôme Master Implementing neural machine translation at la Mobilière eng 2022 author Battaglia Mauro 928735 director Bouillon Pierrette 0000-0002-8854-6360 26962 The interest of LSP and companies in neural machine translation solutions is growing worldwide and in Switzerland. One large Swiss insurance company that is turning its attention towards MT is la Mobilière. In this master thesis, we have trained a NMT system to try and find out whether a trained system can provide a superior output compared to a generic system, DeepL. This was achieved using automatic metrics (BLEU and TER) and human evaluations. Our results show that a trained system can indeed bring considerable advantages compared to DeepL, especially with technical texts. Finally, we carried out semi-structured interviews with the translators who took part in the evaluation task to know their opinions and stances on machine translation and post-editing. Machine translation NMT Trained system DeepL Post-editing Human evaluation Automatic evaluation BLEU TER La Mobilière Insurance Dewey 410.2 Maîtrise universitaire en traitement informatique multilingue 112 Département de traitement informatique multilingue 92 false ad9c2348-8d6a-4688-84ab-ee894a43a815 Master thesis Public Memoire_Mauro_Battaglia.pdf 2456226 application/pdf openAccess Faculté de traduction et d'interprétation / Département de traitement informatique multilingue

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Battaglia, Mauro