A Hybrid Method of of Chinese Chinese Prosodic Word Word Tagging Tagging Based Based on Keyword Anchor and Hidden Markov Markov Model
Quan Zhou, Deng Pan, Hongjian Liu, Guo Defeng, Kenji Nagamatsu · 2009
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.