Two-stage approach to full Chinese parsing

0IntroductionInthe past decades,great progress has been madeinthe field of Chinese word segmentation,part of speechtagging and partial parsing.Nowfull Chinese parsing,thenext step essential to Chinese understanding,is attractingmore and more attentionintheinternational researchcom-munity1-3].It is a challenging problemfor two reasons.First,like any natural language,there is much ambiguityin Chinese sentences resultingin huge searchspace.Sec-ond,Chinese has many different linguistic phenome…

Two-stage approach to full Chinese parsing

Natural language parsing is a task of great importance and extreme difficulty. In this paper, we present a full Chinese parsing system based on a two-stage approach. Rather than identifying all phrases by a uniform model, we utilize a divide and conquer strategy. We propose an effective and fast method based on Markov model to identify the base phrases. Then we make the first attempt to extend one of the best English parsing models i.e. the head-driven model to recognize Chinese complex phrases. Our two-stage approach is superior to the uniform approach in two aspects. First, it creates synergy between the Markov model and the head-driven model. Second, it reduces the complexity of full Chinese parsing and makes the parsing system space and time efficient. We evaluate our approach in PARSEVAL measures on the open test set, the parsing system performances at 87.53% precision, 87.95% recall.