@InProceedings{costajuss-zampieri-pal:2018:W18-39,
  author    = {Costa-jussà, Marta R.  and  Zampieri, Marcos  and  Pal, Santanu},
  title     = {A Neural Approach to Language Variety Translation},
  booktitle = {Proceedings of the Fifth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2018)},
  month     = {August},
  year      = {2018},
  address   = {Santa Fe, New Mexico, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {275--282},
  abstract  = {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 statistical 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 carried out a human evaluation experiment with native speakers of Brazilian Portuguese which indicates that humans prefer the output produced by the neural-based system in comparison to the statistical system.},
  url       = {http://www.aclweb.org/anthology/W18-3931}
}

