A Hybrid Method of Chinese Prosodic Word Tagging Based on Keyword Anchor and Hidden Markov Model

摘要

In this paper, a new method of Chinese prosodic word tagging is presented. This method consists of a rule-based algorithm named ȁC;Keyword AnchorȁD; 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 ȁC;Open Set F ScoreȁD; of prosodic word based on this method is up to about 0.96.