Analyzing Optimization for Statistical Machine Translation: MERT Learns Verbosity, PRO Learns Length

Francisco Guzmán, Preslav Nakov, Stephan Vogel


Anthology ID:
K15-1007
Volume:
Proceedings of the Nineteenth Conference on Computational Natural Language Learning
Month:
July
Year:
2015
Address:
Beijing, China
Venue:
CoNLL
SIG:
SIGNLL
Publisher:
Association for Computational Linguistics
Note:
Pages:
62–72
Language:
URL:
https://aclanthology.org/K15-1007
DOI:
10.18653/v1/K15-1007
Bibkey:
Cite (ACL):
Francisco Guzmán, Preslav Nakov, and Stephan Vogel. 2015. Analyzing Optimization for Statistical Machine Translation: MERT Learns Verbosity, PRO Learns Length. In Proceedings of the Nineteenth Conference on Computational Natural Language Learning, pages 62–72, Beijing, China. Association for Computational Linguistics.
Cite (Informal):
Analyzing Optimization for Statistical Machine Translation: MERT Learns Verbosity, PRO Learns Length (Guzmán et al., CoNLL 2015)
Copy Citation:
PDF:
https://aclanthology.org/K15-1007.pdf