Knowledge acquisition and Chinese parsing based on corpus
Yuan Chunfa, Changning Huang, Pan Shimei · 1992
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 corpm-based Chinese parsing system.Our efforts are coucetrated 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.