A Korean part-of-speech tagging system using resolution rules for individual ambiguous word

被引:0
作者
Ahn, Young-Min [1 ]
Shin, Seung-Eun [2 ]
Park, Hee-Geun [1 ]
Ji, Hyungsuk [3 ]
Seo, Young-Hoon [1 ]
机构
[1] Chungbuk Natl Univ, Sch Elect & Comp Engn, Cheongju, South Korea
[2] Chungbuk Natl Univ, BK21 Chungbuk Informat Technol Ctr, Cheongju, South Korea
[3] Sungkyunkwan Univ, Sch Informat & Commun Engn, Sungkyunkwan, South Korea
来源
COMPUTATIONAL SCIENCE - ICCS 2007, PT 2, PROCEEDINGS | 2007年 / 4488卷
关键词
part-of-speech; tagging; resolution rules;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In this paper we present a Korean part-of-speech tagging system using resolution rules for individual ambiguous word. Our system resolves lexical ambiguities by common rules, rules for individual ambiguous word, and statistical approach. We built resolution rules for each word which has several distinct morphological analysis results with a view to enhancing tagging accuracy. Statistical approach based on Hidden Markov Model (HMM) is applied for ambiguous words that are not resolved by the rules. The experiment on the test set shows that the part-of-speech tagging system has high accuracy and broad coverage.
引用
收藏
页码:1222 / +
页数:2
相关论文
共 3 条
[1]  
Brill E, 1995, COMPUT LINGUIST, V21, P543
[2]  
Merialdo B., 1994, Computational Linguistics, V20, P155
[3]  
TAPANAINEN P, 1994, P C APPL NAT LANG PR, P149