Earticle

초록

영어

This paper proposes a method of segmenting compound nouns which include unregistered nouns into a correct combination of unit nouns using characteristics of person's names, loanwords, and location names. Korean person's name is generally composed of 3 syllables, only relatively small number of syllables is used as last names, and the second and the third syllables combination is somewhat restrictive. Also many person's names appear with clue words in compound nouns. Most loanwords have one or more syllables which cannot appear in Korean words, or have sequences of syllables different from usual Korean words. Location names are generally used with clue words designating districts in compound nouns. Use of above characteristics to analyze compound nouns not only makes segmentation more accurate, helps natural language systems use semantic categories of those unregistered nouns. Experimental results show that the precision of our method is approximately 98% on average. The precision of human names and loanwords recognition is about 94% and about 92% respectively.

목차

Abstract
 1. 서론
 2. 복합명사에서 미등록어로 인한 오류
 3. 외래어 인식
  3.1 음절 출현 특성
  3.2 음소 결합 특성
 4. 이름 명사 인식
  4.1 실마리 단어 구축
 5. 지명 인식
 6. 시스템 구성
 7. 실험 및 분석
 8. 결론
 참고문헌

키워드

저자

• 강유환 [ Yu-Hwan Kang | 충북대학교 컴퓨터공학과 박사과정 ]
• 서영훈 [ Young-Hoon Seo | 충북대학교 전기전자컴퓨터공학부 교수 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  JITAM [Journal of Information Technology Applications and Management]

• 간기

  격월간

• pISSN

  1598-6284

• eISSN

  2508-1209

• 수록기간

  1999~2026

• 십진분류

  KDC 005 DDC 005