Chinese Part-of-speech Tagging Based on Fusion Model
Guanglu Sun1, Fei Lang, Peili Qiao, Zhiming Xu
1School of Computer Science & Technology, Harbin University o
Available Online December 2008.
- 10.2991/jcis.2008.101How to use a DOI?
- Maximum entropy, Part-of-speech tagging, Error correction, Fusion model
This paper proposes a new part-of-speech tagging algorithm based on the fusion model which combines Maximum Entro-py model and Error Correction model. According to the analysis of the two models, the fusion tagging model is uti-lized with the profits of conditional prob-ability model and rule based model. The selection of features and rule templates in the fusion model is discussed. Experi-mental results show that the new model achieves impressive accuracy in terms of the F-score: 93.73%
- © 2008, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Guanglu Sun AU - Fei Lang AU - Peili Qiao AU - Zhiming Xu PY - 2008/12 DA - 2008/12 TI - Chinese Part-of-speech Tagging Based on Fusion Model BT - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008) PB - Atlantis Press SP - 600 EP - 603 SN - 1951-6851 UR - https://doi.org/10.2991/jcis.2008.101 DO - 10.2991/jcis.2008.101 ID - Sun2008/12 ER -