Chinese Part-of-speech Tagging Based on Fusion Model

DOI

10.2991/jcis.2008.101How to use a DOI?

Keywords

Maximum entropy, Part-of-speech tagging, Error correction, Fusion model

Abstract

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%

Copyright

© 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/).

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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  -