Learning Polylingual Topic Models from Code-Switched Social Media Documents

Nanyun Peng, Yiming Wang, Mark Dredze


Anthology ID:
P14-2110
Volume:
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Month:
June
Year:
2014
Address:
Baltimore, Maryland
Editors:
Kristina Toutanova, Hua Wu
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
674–679
Language:
URL:
https://aclanthology.org/P14-2110
DOI:
10.3115/v1/P14-2110
Bibkey:
Cite (ACL):
Nanyun Peng, Yiming Wang, and Mark Dredze. 2014. Learning Polylingual Topic Models from Code-Switched Social Media Documents. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 674–679, Baltimore, Maryland. Association for Computational Linguistics.
Cite (Informal):
Learning Polylingual Topic Models from Code-Switched Social Media Documents (Peng et al., ACL 2014)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingest-2024-clasp/P14-2110.pdf
Video:
 https://preview.aclanthology.org/ingest-2024-clasp/P14-2110.mp4