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.
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Hoojung CHUNG, Hae-Chang RIM, "A New Probabilistic Dependency Parsing Model for Head-Final, Free Word Order Languages" in IEICE TRANSACTIONS on Information,
vol. E86-D, no. 11, pp. 2490-2493, November 2003, doi: .
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.
URL: https://globals.ieice.org/en_transactions/information/10.1587/e86-d_11_2490/_p
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@ARTICLE{e86-d_11_2490,
author={Hoojung CHUNG, Hae-Chang RIM, },
journal={IEICE TRANSACTIONS on Information},
title={A New Probabilistic Dependency Parsing Model for Head-Final, Free Word Order Languages},
year={2003},
volume={E86-D},
number={11},
pages={2490-2493},
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={},
doi={},
ISSN={},
month={November},}
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TY - JOUR
TI - A New Probabilistic Dependency Parsing Model for Head-Final, Free Word Order Languages
T2 - IEICE TRANSACTIONS on Information
SP - 2490
EP - 2493
AU - Hoojung CHUNG
AU - Hae-Chang RIM
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E86-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 2003
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.
ER -