한의학 고문헌 텍스트에서의 인용문 추정과 탐색

• 영문명: Detecting Local Text Reuse in the Texts of East Asian Traditional Medicine
• 발행기관: 대한한의학원전학회
• 저자명: 오준호(Oh Junho)
• 간행물 정보: 『대한한의학원전학회지』34권 1호, 37~45쪽, 전체 9쪽
• 주제분류: 의약학 > 한의학
• 파일형태: PDF
• 발행일자: 2021.02.28

영문 초록

Objectives : The purpose of this paper was to examine quantitative methods for estimating and detecting local text reuse in the texts of East Asian Traditional Medicine. Methods : We introduce techniques that estimate the volume of local text reuse with n-gram and those that directly detect the reuse with the Smith-Waterman algorithm (SW algorithm). Based on this, the estimation and detection of local text reuse were carried out for Donguibogam and Huangdineijing·Suwen. Results : Estimates with n-gram had more errors than methods with SW algorithms. SW algorithms detected suspected strings directly with local text reuse, resulting in more accurate results. Conclusions : Although n-gram does not accurately find local text reuse, its high speed makes it a preferable method for certain purposes, such as screening similar documents. On the other hand, SW algorithms have the advantage of being relatively good at finding similar phrases suspected as local text reuse even if the strings do not completely match. However, due to its excessive consumption of time and computing resources, its benefits are limited to cases where precise results are required.

목차

Ⅰ. 서론

Ⅱ. 본론

Ⅲ. 결론

감사의 말씀

Reference

키워드

Text Reuse n-gram Smith-Waterman Algorithm Korean Medical Classics East Asian Traditional Medicine.