Journal of the Korean Society for information Management (정보관리학회지)

Korean Society for Information Management (한국정보관리학회)
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An experiment in automatic indexing with korean texts : a comparison of syntactico-statistical and manual methods

구문 . 통계적 기법을 이용한 한국어 자동색인에 관한 연구

  • Published : 1993.06.01
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Abstract

This study was undertaken in order to develop practical automatic indexing techniques suitable for Korean natural language texts. It has taken a modest step toward this goal by developing an automatic syntactico-statistical indexing method and evaluating the method by comparing the resutls with manual indexing. For this experimental study, the Korean text database was constructed manually based on 300 abstracts covering business subject. The experimental results showed that the performance of the automatic syntactico-statistical indexing system was comparable to that of other studies which have compared automatic indexing with manual indexing.

본 논문은 자연어 형태의 한국어 텍스트 부터 주제를 대표할 수 있는 색인어를 자동으로 추출하는 실험적인 구문 . 통계적 자동색인 시스템을 구현하였다. 구문 . 통계적 자동색인 시스템은 형태소 분석과 단어 가증 기법을 이용하여 단일어와 명사구를 동시에 선택하는 자동색인 시스템을 말한다. 시스템의 성능을 측정하기 위하여, 300개의 우리말 학술 및 학위논문 초록에서 선택된 단일 . 복합어 색인어를 수작업 색인과 비교하였다. 이와 같은 실험 결과를 가지고 아직 미흡한 연구상태인 우리말 자동색인 개발에 있어서 필요한 기초자료를 제시하였다.

Keywords

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