A New Probabilistic Dependency Parsing Model for Head-Final, Free Word Order Languages

Hoojung CHUNG  Hae-Chang RIM  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E86-D   No.11   pp.2490-2493
Publication Date: 2003/11/01
Online ISSN: 
DOI: 
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Natural Language Processing
Keyword: 
dependency parsing,  statistical parsing,  

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Summary: 
We propose a dependency parsing model for head-final, variable word order languages. Based on the observation that each word has its own preference for its modifying distance and the preferred distance varies according to surrounding context of the word, we define a parsing model that can reflect the preference. The experimental result shows that the parser based on our model outperforms other parsers in terms of precision and recall rate.