Browse > Article
http://dx.doi.org/10.5916/jkosme.2012.36.8.1123

Error-driven Noun-Connection Rule Extraction for Morphological Analysis  

Lee, Kong Joo (충남대학교 정보통신공학과)
Lee, Songwook (한국교통대학교 컴퓨터정보공학과)
Publication Information
Journal of Advanced Marine Engineering and Technology / v.36, no.8, 2012 , pp. 1123-1128 More about this Journal
Abstract
The goal of this research is to develop an error-driven noun-connection rules which is used for breaking complicate nouns in Korean morphology analysis module. We collected complicate nouns from Web sites, and analyzed them by CnuMa. Whenever we find errors from outputs of the analyzer, we write noun-connection rules to correct the errors. The noun-connection rules are devised by considering left/right contexts in compound nouns. The error-driven noun-connection rules are helpful in improving precision and recall of a Korean morphology analyzer, CnuMa by 2.8% and 10.8%, respectively.
Keywords
morphological analysis; nouns connection table; compound noun;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Bo-Hyun Yun, Min-Jeung Cho and Hae-Chang Rim, "Segmenting korean compound nouns using statistical information and a preference rule", Journal of Computing Science and Engineering, vol. 24, no. 8, pp. 900-909, 1997.
2 Jae-Hyuk Choi and Sang-Jo Lee, "A method for reducing dictionary access with bidirectional longest match strategy in korean morphological analyzer", Journal of Computing Science and Engineering, vol. 20, no. 10, pp. 1497-1507, 1993.
3 Seong-Yong Kim, A Morphological Analyzer for Korean Language with Tabular Parsing Method and Connectivity Information, Master's Thesis, KAIST, 1987 (in Korean).
4 S.S. Kang, Korean Morphological Analysis Using Syllable Information and Multi-word Unit Information, Doctoral Thesis, Seoul National University, 1993 (in Korean).
5 Dong Un An, "A noun extractor using connectivity information", Proceddings of The 11th Annual Conference on Human & Cognitive Language Technology, pp. 173-178, 1999 (in Korean).   과학기술학회마을
6 Jae-Hoon Kim, "Korean part-of-speech tagging using a weighted network", Journal of Computing Science and Engineering, vol. 25, no. 6, pp. 951-959, 1998.
7 Woon-Jae Lee, Design and Implementation of an Automatic Tagging System for Korean Texts, Master's Thesis, KAIST, 1993 (in Korean).
8 Kong Joo Lee, Songwook Lee and Jee Eun Kim, "A bidirectional korean-japanese statistical machine translation system by using MOSES", Journal of the Korean society of Marine Engineering, vol. 36, no. 5, pp. 683-693, 2012 (in Korean).   과학기술학회마을   DOI   ScienceOn
9 The 21st Century Sejong Project, http://sejong.or.kr/sejong_kr/index.html, Accessed 20. Nov. 2006.