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김준수 한국중국언어학회 2012 중국언어연구 Vol.0 No.38
李方桂鄭張尙芳以*sK-複輔音構擬「造」的上古聲母其所據爲≪說文≫的字形分析· 然而根據古文字資料顯示「造」幷非告聲·許思萊沙加爾白一平等一些西方漢學家不從≪說文≫ 而認爲「造」的上古聲母爲塞擦音·本文接受鄭張氏所提之「古無塞擦音說」卽認爲塞擦音聲母屬後起上古時期尙未産生因此「造」的上古聲母構擬作擦音爲妥·≪上古音系≫古音字表擬音作:*skhuːgs(>淸母) *sguː?(>從母) 而本文根據古文字學方面的新硏究成果在鄭張體系的系統광架裡對其擬音提出修改建議:*shuːs(>淸母) *zuː?(>從母)·
비균질 재료의 클래드 효과가 응력확대계수에 미치는 영향
김준수,이준성 경기대학교 부설 산업기술종합연구소 2002 산업기술종합연구소 논문집 Vol.24 No.-
Accurate stress intensity factor analyses and crack growth rate of surface-cracked components in inhomogeneousmaterials are needed for reliable prediction of their fatigue life and fracture strengths. This paper describes an effect of cladding on stress intensity factors in inhomogeneous materials. 3D finite element method(FEM) was used to obtain the stress intensity factor for subsurface cracks and surface cracks existing in inhomogeneous materials. To examine accuracy and efficiency of the present system, the stress intensity factor for a semi-elliptical surface crack in a plate subjected to uniform tension is calculated, and compared with Raju-Newman's solutions. Then the system is applied to analyze cladding effect of subsurface cracks in inhomogeneous materials. The results were compared with those surface cracks in homogeneous materials. It is clearly demonstrated from these analyses that the stress intensity factors for subsurface cracks are less than those of surface cracks. Also, this system is applied to analyze cladding effect of surface cracks in inhomogeneous materials.
정제된 의미정보와 시소러스를 이용한 동형이의어 분별 시스템
김준수,옥철영 한국정보처리학회 2005 정보처리학회논문지. 소프트웨어 및 데이터 공학 Vol.12 No.7
Word Sense Disambiguation(WSD) is one of the most difficult problem in Korean information processing. We propose a WSD model with the capability to filter semantic information using the specific characteristics in dictionary definitions, and with added information, useful to sense determination, such as statistical, distance and case information. we propose a model, which can resolve the issues resulting from the scarcity of semantic information data, based on the word hierarchy system (thesaurus) developed by Ulsan Universty's UOU Word Intelligent Network, a dictionary-based lexicological database. Among the WSD models elaborated by this study, the one using statistical information, distance and case information along with the thesaurus (hereinafter referred to as "SDJ-X model") performed the best. In an experiment conducted on the sense-tagged corpus consisting of 1,500,000 eojeols, provided by the Sejong Project, the SDJ-X model recorded improvements over the maximum frequency word sense determination (maximum frequency determination, MFC, accuracy baseline) of 18.87% (21.73% for nouns, 17.11% for verbs). The results were superior in accuracy to the model using statistical and inter-eojeol distance weights by 10.49% (8.84% for nouns, 11.51% for verbs). Finally, the accuracy level of the SDJ-X model was higher than that recorded by the model using only statistical information, distance and case information, without the thesaurus by a margin of 6.12% (5.29%for nouns, 6.64% for verbs). 단어 의미 중의성 해소는 자연언어처리 분야에 매우 중요한 부분이다. 본 논문에서는 사전 뜻풀이 특성을 이용해 기존의 의미정보를 정제하고 유용한 정보인 확률정보, 거리정보 및 격정보 등을 추가한WSD 모델을 제안하였으며, 사전을 기반으로 구축된 “울산대학교 어휘 지능망(UOU-Word Intelligent Network:U-WIN)”상의 단어 계층적 구조(시소러스)를 이용하여 의미정보의 자료 부족 문제를 해소하는 모델을 제시하였다. “21세기 세종 계획”에서 제공하는 150만 어절 규모의 의미 태그 말뭉치를 대상으로 한 실험에서 최다 빈도 의미 결정(Maximum Frequence Class, MFC, 정확률 베이스라인)에 비해 18.87%(명사 21.73%, 동사 17.11%) 정확률 향상을 보였으며, 기존의 확률 가중치와 어절 거리 가중치를 이용한 모델에 비해서는 10.49%(명사 8.84%, 동사 11.51%)의 정확률 향상되었다. 또한 시소러스를 사용하지 않고 확률정보, 거리정보, 격정보 만을 이용한 모델에 비해 6.12%(명사 5.29%, 동사 6.64%) 높은 정확률을 보였다.