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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
Editor
Association for Computational Linguistics
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 ...
Citació
Ruiz, M., Zampieri, M., Pal, S. A neural approach to language variety translation. A: International Conference on Computational Linguistics. "COLING 2018: The 27th International Conference on Computational Linguistics: Proceedings of the Conference: August 20-26, 2018 Santa Fe, New Mexico, USA". Stroudsburg, PA: Association for Computational Linguistics, 2018.
Grup de recerca
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
TALP - Centre de Tecnologies i Aplicacions del Llenguatge i la Parla
VEU - Grup de Tractament de la Parla

Participants