Polylingual Tree-Based Topic Models for Translation Domain Adaptation

Yuening Hu, Ke Zhai, Vladimir Eidelman, Jordan Boyd-Graber


Anthology ID:
P14-1110
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:
1166–1176
Language:
URL:
https://aclanthology.org/P14-1110
DOI:
10.3115/v1/P14-1110
Bibkey:
Cite (ACL):
Yuening Hu, Ke Zhai, Vladimir Eidelman, and Jordan Boyd-Graber. 2014. Polylingual Tree-Based Topic Models for Translation Domain Adaptation. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1166–1176, Baltimore, Maryland. Association for Computational Linguistics.
Cite (Informal):
Polylingual Tree-Based Topic Models for Translation Domain Adaptation (Hu et al., ACL 2014)
Copy Citation:
PDF:
https://aclanthology.org/P14-1110.pdf