Analyzing Optimization for Statistical Machine Translation: MERT Learns Verbosity, PRO Learns Length
- 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
- 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)
- PDF:
- https://preview.aclanthology.org/starsem-semeval-split/K15-1007.pdf