The exploration of deterministic and efficient dependency parsing

Authors:
Yu-Chieh Wu;Yue-Shi Lee;Jie-Chi Yang
Affiliations:
National Central University, Taoyuan, Taiwan;Ming Chuan University, Taoyuan, Taiwan;National Central University, Taoyuan, Taiwan
Venue:
CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning
Year:
2006

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Abstract

In this paper, we propose a three-step multilingual dependency parser, which generalizes an efficient parsing algorithm at first phase, a root parser and post-processor at the second and third stages. The main focus of our work is to provide an efficient parser that is practical to use with combining only lexical and part-of-speech features toward language independent parsing. The experimental results show that our method outperforms Maltparser in 13 languages. We expect that such an efficient model is applicable for most languages.