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

Hoojung Chung; Hae Chang Rim

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

Hoojung Chung, Hae Chang Rim

* Honorary professors

Research output: Contribution to journal › Letter › peer-review

1 Citation (Scopus)

Abstract

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 language	English
Pages (from-to)	2490-2493
Number of pages	4
Journal	IEICE Transactions on Information and Systems
Volume	E86-D
Issue number	11
Publication status	Published - 2003 Nov

Keywords

Dependency parsing
Statistical parsing

ASJC Scopus subject areas

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

Cite this

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

abstract = "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.",

keywords = "Dependency parsing, Statistical parsing",

author = "Hoojung Chung and Rim, {Hae Chang}",

year = "2003",

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journal = "IEICE Transactions on Information and Systems",

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T1 - A new probabilistic dependency parsing model for head-final, free word order languages

AU - Chung, Hoojung

AU - Rim, Hae Chang

PY - 2003/11

Y1 - 2003/11

N2 - 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.

AB - 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.

KW - Dependency parsing

KW - Statistical parsing

UR - http://www.scopus.com/inward/record.url?scp=0345171634&partnerID=8YFLogxK

M3 - Letter

AN - SCOPUS:0345171634

SN - 0916-8532

VL - E86-D

SP - 2490

EP - 2493

JO - IEICE Transactions on Information and Systems

JF - IEICE Transactions on Information and Systems

IS - 11

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

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Cite this