Unifying Bayesian Inference and Vector Space Models for Improved Decipherment

Qing Dou, Ashish Vaswani, Kevin Knight, Chris Dyer


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://aclanthology.org/P15-1081
DOI:
10.3115/v1/P15-1081
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/P15-1081.pdf
Software:
 P15-1081.Software.zip