A new probabilistic dependency parsing model for head-final, free word order languages

Hoojung Chung, Hae Chang Rim

Research output: Contribution to journalLetterpeer-review

1 Citation (Scopus)


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.

Original languageEnglish
Pages (from-to)2490-2493
Number of pages4
JournalIEICE Transactions on Information and Systems
Issue number11
Publication statusPublished - 2003 Nov


  • Dependency parsing
  • Statistical parsing

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence

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