Training an NMT system for legal texts of a low-resource language variety (South Tyrolean German – Italian)

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10609/151237

Título :	Training an NMT system for legal texts of a low-resource language variety (South Tyrolean German – Italian)
Autoría:	Oliver, Antoni Alvarez Vidal, Sergi stemle, egon Chiocchetti, Elena
Citación :	Oliver, 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)
Resumen :	This 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.
Tipo de documento:	info:eu-repo/semantics/conferenceObject
Fecha de publicación :	jun-2024
Licencia de publicación:	http://creativecommons.org/licenses/by-nd/3.0/es/
Aparece en las colecciones:	Conferencias