- Anthology ID:
- P15-1081
- Volume:
- Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- Month:
- July
- Year:
- 2015
- Address:
- Beijing, China
- Editors:
- Chengqing Zong, Michael Strube
- Venues:
- ACL | IJCNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 836–845
- Language:
- URL:
- https://preview.aclanthology.org/add_missing_videos/P15-1081/
- DOI:
- 10.3115/v1/P15-1081
- Cite (ACL):
- Qing Dou, Ashish Vaswani, Kevin Knight, and Chris Dyer. 2015. Unifying Bayesian Inference and Vector Space Models for Improved Decipherment. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 836–845, Beijing, China. Association for Computational Linguistics.
- Cite (Informal):
- Unifying Bayesian Inference and Vector Space Models for Improved Decipherment (Dou et al., ACL-IJCNLP 2015)
- PDF:
- https://preview.aclanthology.org/add_missing_videos/P15-1081.pdf