Linguistic Input Features Improve Neural Machine Translation

Rico Sennrich, Barry Haddow


Anthology ID:
W16-2209
Volume:
Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers
Month:
August
Year:
2016
Address:
Berlin, Germany
Editors:
Ondřej Bojar, Christian Buck, Rajen Chatterjee, Christian Federmann, Liane Guillou, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Aurélie Névéol, Mariana Neves, Pavel Pecina, Martin Popel, Philipp Koehn, Christof Monz, Matteo Negri, Matt Post, Lucia Specia, Karin Verspoor, Jörg Tiedemann, Marco Turchi
Venue:
WMT
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
83–91
Language:
URL:
https://aclanthology.org/W16-2209
DOI:
10.18653/v1/W16-2209
Bibkey:
Cite (ACL):
Rico Sennrich and Barry Haddow. 2016. Linguistic Input Features Improve Neural Machine Translation. In Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers, pages 83–91, Berlin, Germany. Association for Computational Linguistics.
Cite (Informal):
Linguistic Input Features Improve Neural Machine Translation (Sennrich & Haddow, WMT 2016)
Copy Citation:
PDF:
https://aclanthology.org/W16-2209.pdf
Code
 rsennrich/wmt16-scripts
Data
WMT 2016