This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2009 International Conference on Asian Language Processing
A Hybrid Method of Chinese Prosodic Word Tagging Based on Keyword Anchor and Hidden Markov Model
Singapore
December 07-December 09
ISBN: 978-0-7695-3904-1
In this paper, a new method of Chinese prosodic word tagging is presented. This method consists of a rule-based algorithm named “Keyword Anchor” and a statistical algorithm based on Hidden Markov Model (HMM). For keyword anchor algorithm, an anchor of the prosodic word is defined to help the system to find the whole prosodic word. For statistical algorithm, a length-based Hidden Markov Model (HMM) is used to find the best result of prosodic word tagging. The experiments of this method prove the better result than preceding methods in this field. The “Open Set F Score” of prosodic word based on this method is up to about 0.96.
Index Terms:
Prosodic Word, Keyword Anchor, HMM
Citation:
Zhou Quan, Deng Pan, Liu Hongjian, Guo Defeng, Nagamatsu Kenji, "A Hybrid Method of Chinese Prosodic Word Tagging Based on Keyword Anchor and Hidden Markov Model," ialp, pp.71-75, 2009 International Conference on Asian Language Processing, 2009
Usage of this product signifies your acceptance of the Terms of Use.