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

Hoojung CHUNG, Hae-Chang RIM

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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.

Publication
IEICE TRANSACTIONS on Information Vol.E86-D No.11 pp.2490-2493
Publication Date
2003/11/01
Publicized
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DOI
Type of Manuscript
LETTER
Category
Natural Language Processing

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