- Anthology ID:
- P14-1065
- Volume:
- Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Month:
- June
- Year:
- 2014
- Address:
- Baltimore, Maryland
- Editors:
- Kristina Toutanova, Hua Wu
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 687–698
- Language:
- URL:
- https://aclanthology.org/P14-1065
- DOI:
- 10.3115/v1/P14-1065
- Cite (ACL):
- Francisco Guzmán, Shafiq Joty, Lluís Màrquez, and Preslav Nakov. 2014. Using Discourse Structure Improves Machine Translation Evaluation. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 687–698, Baltimore, Maryland. Association for Computational Linguistics.
- Cite (Informal):
- Using Discourse Structure Improves Machine Translation Evaluation (Guzmán et al., ACL 2014)
- PDF:
- https://preview.aclanthology.org/ingest-bitext-workshop/P14-1065.pdf