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Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1
Combining Multi-knowledge for Chinese Word Segmentation Disambiguation
Jinan, China
October 16-October 18
ISBN: 0-7695-2528-8
ASCII Text
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Ying Qin, Suxiang Zhang, Xiaojie Wang, "Combining Multi-knowledge for Chinese Word Segmentation Disambiguation," Intelligent Systems Design and Applications, International Conference on, vol. 1, pp. 551-556, Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1, 2006.
 
 
BibTex
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@article{ 10.1109/ISDA.2006.124,
author = {Ying Qin and Suxiang Zhang and Xiaojie Wang},
title = {Combining Multi-knowledge for Chinese Word Segmentation Disambiguation},
journal ={Intelligent Systems Design and Applications, International Conference on},
volume = {1},
year = {2006},
isbn = {0-7695-2528-8},
pages = {551-556},
doi = {http://doi.ieeecomputersociety.org/10.1109/ISDA.2006.124},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Intelligent Systems Design and Applications, International Conference on
TI - Combining Multi-knowledge for Chinese Word Segmentation Disambiguation
SN - 0-7695-2528-8
SP551
EP556
A1 - Ying Qin,
A1 - Suxiang Zhang,
A1 - Xiaojie Wang,
PY - 2006
KW - null
VL - 1
JA - Intelligent Systems Design and Applications, International Conference on
ER -
 
Ying Qin, Beijing University of Posts and Telecommunications, China
Suxiang Zhang, Beijing University of Posts and Telecommunications, China
Xiaojie Wang, Beijing University of Posts and Telecommunications, China
In the task of Chinese word segmentation, there are two main segmentation ambiguities, overlapping ambiguity and combination ambiguity. The paper analyzes properties of ambiguities and supposes multiknowledge approach to disambiguate. Multiknowledge refers to the knowledge from statistic of large corpus and syntactic, semantic or discourse information about ambiguous words. Class based Ngram and Maximum Entropy model are applied to combining multi-knowledge and disambiguation.
Citation:
Ying Qin, Suxiang Zhang, Xiaojie Wang, "Combining Multi-knowledge for Chinese Word Segmentation Disambiguation," isda, vol. 1, pp.551-556, Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1, 2006
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