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Asian Language Processing, International Conference on (2009)
Singapore
Dec. 7, 2009 to Dec. 9, 2009
ISBN: 978-0-7695-3904-1
pp: 71-75
ABSTRACT
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
Liu Hongjian, Zhou Quan, Guo Defeng, Deng Pan, Nagamatsu Kenji, "A Hybrid Method of Chinese Prosodic Word Tagging Based on Keyword Anchor and Hidden Markov Model", Asian Language Processing, International Conference on, vol. 00, no. , pp. 71-75, 2009, doi:10.1109/IALP.2009.24
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