Knowledge acquisition and Chinese parsing based on corpus

In Natural Language Processing (NLP), one key problem is how to design a robust and effective parsing system. In this paper, we will introduce a corpus- based Chinese parsing system. Our efforts are concetrated on: (1) knowledge acquisition and representation; and (2) the parsing scheme. The knowledge of this system is principally extracted from analyzed corpus, others are a few grammatical principles, i.e. the four axioms of the Dependency Grammar (DG). In addition, we also propose the fifth axiom of DG to support the parsing of Chinese sentences.