인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
논문을 무제한 열람 이용할 수 있어요.
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
The Urimalsaem contains the historical information of about 5,000 lexical items. They are based on the materials as a part of the 21st Century Sejong Project, which has constructed from 2002.
The historical information in the Urimalsaem, however, have several issues. The information is provided only in modern entries and is especially careless about semantic changes. In giving examples, the modern and archaic entries are asymmetric and one can find hardly semantic differences from the examples. The information about related words is not well-constructed and there are not a few cases that the historical information is not described well due to the exclusion of Old Korean materials from the reference.
In order to resolve these issues, it is necessary to collect the corpora of historical materials maximally and to fine them for high-quality data. Also the corpora of historical materials need to be open so that users of the Urimalsaem can search and correct errors from them, correct and supplement the historical informations of lexical items furthermore.
The historical information in the Urimalsaem, however, have several issues. The information is provided only in modern entries and is especially careless about semantic changes. In giving examples, the modern and archaic entries are asymmetric and one can find hardly semantic differences from the examples. The information about related words is not well-constructed and there are not a few cases that the historical information is not described well due to the exclusion of Old Korean materials from the reference.
In order to resolve these issues, it is necessary to collect the corpora of historical materials maximally and to fine them for high-quality data. Also the corpora of historical materials need to be open so that users of the Urimalsaem can search and correct errors from them, correct and supplement the historical informations of lexical items furthermore.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2019-703-000884585
