Leveraging Rule-Based Machine Translation Knowledge for Under-Resourced Neural Machine Translation Models

Daniel Torregrosa, Nivranshu Pasricha, Maraim Masoud, Bharathi Raja Chakravarthi, Juan Alonso, Noe Casas, Mihael Arcan


Anthology ID:
W19-6725
Volume:
Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks
Month:
August
Year:
2019
Address:
Dublin, Ireland
Editors:
Mikel Forcada, Andy Way, John Tinsley, Dimitar Shterionov, Celia Rico, Federico Gaspari
Venue:
MTSummit
SIG:
Publisher:
European Association for Machine Translation
Note:
Pages:
125–133
Language:
URL:
https://aclanthology.org/W19-6725
DOI:
Bibkey:
Cite (ACL):
Daniel Torregrosa, Nivranshu Pasricha, Maraim Masoud, Bharathi Raja Chakravarthi, Juan Alonso, Noe Casas, and Mihael Arcan. 2019. Leveraging Rule-Based Machine Translation Knowledge for Under-Resourced Neural Machine Translation Models. In Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks, pages 125–133, Dublin, Ireland. European Association for Machine Translation.
Cite (Informal):
Leveraging Rule-Based Machine Translation Knowledge for Under-Resourced Neural Machine Translation Models (Torregrosa et al., MTSummit 2019)
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PDF:
https://aclanthology.org/W19-6725.pdf