Synthetic Word Parsing Improves Chinese Word Segmentation

Fei Cheng, Kevin Duh, Yuji Matsumoto

[How to correct problems with metadata yourself]


Anthology ID:
P15-2043
Volume:
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
Month:
July
Year:
2015
Address:
Beijing, China
Editors:
Chengqing Zong, Michael Strube
Venues:
ACL | IJCNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
262–267
Language:
URL:
https://aclanthology.org/P15-2043
DOI:
10.3115/v1/P15-2043
Bibkey:
Cite (ACL):
Fei Cheng, Kevin Duh, and Yuji Matsumoto. 2015. Synthetic Word Parsing Improves Chinese Word Segmentation. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 262–267, Beijing, China. Association for Computational Linguistics.
Cite (Informal):
Synthetic Word Parsing Improves Chinese Word Segmentation (Cheng et al., ACL-IJCNLP 2015)
Copy Citation:
PDF:
https://preview.aclanthology.org/teach-a-man-to-fish/P15-2043.pdf