Research on Strategies for Integrating Chinese Lexical Analysis and Parsing

Qun Liu · Zhongwen xinxi xuebao · 2008

External resources can be used effectively to improve the parsing accuracy.In this paper,we introduce an external Chinese lexical analysis system to parsing and propose a general transformation methd to integrate them.The Transformation-based Error-driven Learning and Conditional Random Fields are used to solve the problem of transformation between two different standards of segmentation and POS tagging.We also propose a parsing model which combines the Head-driven parsing model and Structural Context parsing model effectively.Experimental results show that our new integrated parsing model achieves an F1 score of 82.5% on the Penn Chinese Tree-Bank Version 1.0,higher than the state-of-art parsers.

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