Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/151237
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dc.contributor.authorOliver, Antoni-
dc.contributor.authorAlvarez Vidal, Sergi-
dc.contributor.authorstemle, egon-
dc.contributor.authorChiocchetti, Elena-
dc.date.accessioned2024-09-17T12:40:30Z-
dc.date.available2024-09-17T12:40:30Z-
dc.date.issued2024-06-
dc.identifier.citationOliver, A. [Antoni], Álvarez. S. [Sergi], Stemle, E. [Egon] & Chiocchetti, E. [Elena](2024). Training an NMT system for legal texts of a low-resource language variety (South Tyrolean German – Italian). Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)-
dc.identifier.isbn9781068690709-
dc.identifier.urihttp://hdl.handle.net/10609/151237-
dc.description.abstractThis paper illustrates the process of training and evaluating NMT systems for a language pair that includes a low-resource language variety. A parallel corpus of legal texts for Italian and South Tyrolean German has been compiled, with South Tyrolean German being the low-resourced language variety. As the size of the compiled corpus is insufficient for the training, we have combined the corpus with several parallel corpora using data weighting at sentence level. We then performed an evaluation of each combination and of two popular commercial systems.en
dc.format.mimetypeapplication/pdfca
dc.language.isoengen
dc.publisherEuropean Association for Machine Translation-
dc.relation.ispartofProceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1). Sheffield, UK, 24-27 de juny, 2024ca
dc.rightsCC BY-ND*
dc.rights.urihttp://creativecommons.org/licenses/by-nd/3.0/es/-
dc.titleTraining an NMT system for legal texts of a low-resource language variety (South Tyrolean German – Italian)ca
dc.typeinfo:eu-repo/semantics/conferenceObjectca
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
dc.gir.idCO/0000006826-
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