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An Experimental Approach of Keyword Extraction in Korean-Chinese Text

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2019, v.36 no.4, pp.7-19
https://doi.org/10.3743/KOSIM.2019.36.4.007
Yoo Kyung Jeong
Jae-yu Ban
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Abstract

The aim of this study is to develop a technique for keyword extraction in Korean-Chinese text in the modern period. We considered a Korean morphological analyzer and a particle in classical Chinese as a possible method for this study. We applied our method to the journal “Sisachongbo,” employing proper-noun dictionaries and a list of stop words to extract index terms. The results show that our system achieved better performance than a Chinese morphological analyzer in terms of recall and precision. This study is the first research to develop an automatic indexing system in the traditional Korean-Chinese mixed text.

keywords
말뭉치, 자동 색인, 한자 형태소 분석, 국한문 혼용체, 시사총보, corpus, automatic indexing, traditional Chinese morphological analysis, Korean-Chinese character style, Sisachongbo
Submission Date
2019-08-18
Revised Date
2019-09-18
Accepted Date
2019-12-13

Journal of the Korean Society for Information Management