UPDF AI

An Effective Method for Chinese Grammar Rule Learning

C. Yuan,Gang Chen,Kam-Fai Wong,Wenjie Li

2001 · DOI: 10.1142/S021942790100045X
International Journal of Computer Processing of Oriental Languages · 2 Citations

TLDR

Experimental results demonstrate that the complexity of Chinese parsing is greatly reduced using the different rules learnt by the new method of Chinese grammar rules learning.

Abstract

A new method of Chinese grammar rules learning is put forward in this paper. The key point of this method is to use part-of-speech (POS), semantic and contextual information together in learning and expressing Chinese grammar rules. In this way, not only Context Free Grammar (CFG) rules can be learnt, but also the ambiguous structures in POS can be identified automatically. Furthermore, non-ambiguous semantic rules and forbidden rules can be produced from ambiguous rules by using semantic and contextual information. Experimental results demonstrate that the complexity of Chinese parsing is greatly reduced using the different rules learnt by our method.