@inproceedings{dou-etal-2015-unifying,
title = "Unifying {B}ayesian Inference and Vector Space Models for Improved Decipherment",
author = "Dou, Qing and
Vaswani, Ashish and
Knight, Kevin and
Dyer, Chris",
booktitle = "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 = jul,
year = "2015",
address = "Beijing, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/P15-1081",
doi = "10.3115/v1/P15-1081",
pages = "836--845",
}
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%0 Conference Proceedings
%T Unifying Bayesian Inference and Vector Space Models for Improved Decipherment
%A Dou, Qing
%A Vaswani, Ashish
%A Knight, Kevin
%A Dyer, Chris
%S 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)
%D 2015
%8 jul
%I Association for Computational Linguistics
%C Beijing, China
%F dou-etal-2015-unifying
%R 10.3115/v1/P15-1081
%U https://aclanthology.org/P15-1081
%U https://doi.org/10.3115/v1/P15-1081
%P 836-845
Markdown (Informal)
[Unifying Bayesian Inference and Vector Space Models for Improved Decipherment](https://aclanthology.org/P15-1081) (Dou et al., ACL 2015)
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.