Scalable Inference and Training of Context-Rich Syntactic Translation Models

Michel Galley, Jonathan Graehl, Kevin Knight, Daniel Marcu, Steve DeNeefe, Wei Wang, Ignacio Thayer


Anthology ID:
P06-1121
Volume:
Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics
Month:
July
Year:
2006
Address:
Sydney, Australia
Editors:
Nicoletta Calzolari, Claire Cardie, Pierre Isabelle
Venues:
COLING | ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
961–968
Language:
URL:
https://aclanthology.org/P06-1121/
DOI:
10.3115/1220175.1220296
Bibkey:
Cite (ACL):
Michel Galley, Jonathan Graehl, Kevin Knight, Daniel Marcu, Steve DeNeefe, Wei Wang, and Ignacio Thayer. 2006. Scalable Inference and Training of Context-Rich Syntactic Translation Models. In Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, pages 961–968, Sydney, Australia. Association for Computational Linguistics.
Cite (Informal):
Scalable Inference and Training of Context-Rich Syntactic Translation Models (Galley et al., COLING-ACL 2006)
Copy Citation:
PDF:
https://aclanthology.org/P06-1121.pdf