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A neural approach to language variety translation

Autor
Ruiz, M.; Zampieri, M.; Pal, S.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
27th International Conference on Computational Linguistics
Any de l'edició
2018
Data de presentació
2018-08-20
Llibre d'actes
COLING 2018: The 27th International Conference on Computational Linguistics: Proceedings of the Conference: August 20-26, 2018 Santa Fe, New Mexico, USA
Repositori
http://hdl.handle.net/2117/125675 Obrir en finestra nova
Resum
In this paper we present the first neural-based machine translation system trained to translate between standard national varieties of the same language. We take the pair Brazilian - European Portuguese as an example and compare the performance of this method to a phrase-based statis- tical machine translation system. We report a performance improvement of 0.9 BLEU points in translating from European to Brazilian Portuguese and 0.2 BLEU points when translating in the opposite direction. We also ...
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
TALP - Centre de Tecnologies i Aplicacions del Llenguatge i la Parla
VEU - Grup de Tractament de la Parla

Participants