• 말소리와 음성과학
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• 제9권2호
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• pp.61-68
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• 2017

The aim of this study is to investigate the prosodic aspects of ambiguous sentences in Korean produced by Chinese Korean Learners (L1: Chinese, L2: Korean). In Korean, sentence ambiguity can be caused by homonym or syntactically ambiguous structure. In spoken language however all ambiguity can be resolved by different prosodic features according to the meaning that they transmit. In this study we examined whether Chinese Korean Leaners also distinguish, in production, ambiguous sentences on the basis of prosodic characteristics. For this study 4 Korean natives speakers and 10 advanced Chinese Korean learners participated in the production test. The material analysed constituted 10 Korean sentences in which 6 sentences are lexically ambiguous and 4 sentences contain structural ambiguity. The results show that Korean native speakers produced ambiguous sentences by different prosodic structure depending on their semantic and syntactic structure. Chinese speakers also show distinct prosodic structure for different ambiguous sentences in most cases. But in the phonetic realization, the internal pitch range was greater for Korean native speakers than Chinese learners.

• 한국언어정보학회지:언어와정보
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• 제7권2호
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• pp.59-79
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• 2003

Coordination in natural language is often syntactically explained by the rule schema X \longrightarrow X′ and X", where X′ and X" refer to expressions of a like syntactic type. While this schema does explain a lot of instances of coordination, it is well known that this schema also gives rise to serious structural ambiguity, leading not only to numerous unintended interpretations but also to a high degree of unnecessary computational complexity. In order to identify intended interpretations, we need to take into account a number of clues at all the levels of morphology, syntax, semantics, and pragmatics/discourse. In this paper, we propose, with an accompanying data analysis, principles of symmetry and coherency for an effective and reasonable identification of intended interpretations from coordination-bearing sentences.

• 한국언어정보학회:학술대회논문집
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• 한국언어정보학회 1996년도 Language, Information and Computation = Selected Papers from the 11th Pacific Asia Conference on Language, Information and Computation, Seoul
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• pp.99-108
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• 1996

• 한국산학기술학회논문지
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• 제9권4호
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• pp.958-963
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• 2008

한국어는 용언이 의미적 제약을 통해 문장을 지배하며 대부분의 한국어 문장은 주절과 내포문을 가지는 복문으로 구성되어 있다. 따라서 한국어에 맞는 구문 문법이나 구문 제약을 기술하는 것은 매우 어렵고 한국어를 파싱 하면 다양한 구문 모호성이 발생한다. 본 논문에서는 구문 제약으로 문형(sentence patterns)을 사용하는 CFG기반의 문법을 기술하여 구문 모호성을 해결하는 방법을 제안한다. 이를 위해 내포문을 포함하는 복문도 문형으로 분류하였으며 44개의 문형을 사용한다. 그러나 한국어 특성상 문형 정보만으로는 모든 구문 모호성을 해결할 수가 없기 때문에 문형에 의미 제약(semantic constraint)을 가한 의미 지표(semantic marker)를 사용하여 파싱을 수행한다. 의미 지표는 보조사의 처리나 공동격 조사에 의해 발생되는 구문 모호성을 해결하는데 이용될 수 있다.

• 한국언어정보학회:학술대회논문집
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• 한국언어정보학회 1995년도 Language, Information and Computation = Proceedings of the 10th Pacific Asia Conference, Hong Kong
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• pp.115-120
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• 1995

• 인지과학
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• 제4권1호
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• pp.153-176
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• 1993

구조적 모호성은 자연 언어 문장을 분석할 때 흔히 나타내는 문제점 중의 하나로,지금까지 이문제의 해결은 대단히 어려운 것으로 인식되어 왔다.그러나,구조적 모호성을 해소하지 않고 올바른 언어 처리를 한다는 것은 사실상 불가능하다.본 논문에서는 이 문제에 대하여 정보 이론적(information-theoretic)개념인 상호 정보(mutual information)를 이용한 통계적 접근방법을 제안한다.상호정보는 말 뭉치로 부터 자동 습득이 가능하므로 지식습득속도가 대단히 빠를뿐만 아니라 지속적인 지식습득이 가능하다. 구조적 모호성 해소는 물론 모호성 해소 결과의 옳고 그름을 스스로 판단할수 있는 능력을 부여할수 있다면 보다 지능적인 시스템을 개발하는데 도움이 될것이다.본 논문에서는 그와 같은 지적 능력을 부여한느데 필요한 확신도(congidence measure) 개념도 또한 제시한다.확신도는 구조적 모호성을 해소하고 난 후에 계산되는 수치로서,구조적 모호성이 올바르게 해소되었을 가능성이 높으면 높을수록 그 값이 커지는 성질을 가지고 있다. 본 논문에서 제시한 구조적 모호성 해소 알고리즘의 타당성을 검증하기 위하여 이공계 논문 초록으로부터 발췌된 약 160만 단어의 말뭉치로부터 상호 정보를 자동 습득하고 이를 이용하요,1,639개의 문장에 대하여 구조적 모호성을 해소하는 실험을 하였다. 실험결과 구조적 모호성 해소 정화도는 약 80%로 나타났다.확신도 개념을 이용할 경우 구조적 모호성 해소가 잘못된 문장을 찾아 정정하는 작업을 매우 효과적으로 진행할 수 있었다.

• 유통과학연구
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• 제17권1호
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• pp.105-115
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• 2019

Purpose - Previous research has shown that a very high level and a very low level of job scope can both be more stressful than intermediate levels of job scope. This study investigates the potential positive and negative effects of the number of accounts handled by sales personnel. The primary objective of this paper is to examine how the number of accounts salespeople handle affects their stress and performance. Research design, data, and methodology - This research conducted the data collection using a survey of salespeople in the pharmaceutical industry. I sent the survey to 420 salespeople, and received 318 usable responses. To assess measurement reliability and validity, I ran an exploratory and confirmatory factor analysis. I also employed structural equation modeling (SEM) to test all hypothesized effects in AMOS and also measured the interaction variable using Ping's (1996) approach. Results - These results show that there are linear and non-linear effects of the number of accounts handled by the salesperson on both role ambiguity and role conflict. First, the number of accounts handled by a salesperson is positively related to role ambiguity and role conflict. Second, the effect of the number of accounts handled on role ambiguity and role conflict decreases as the number of accounts handled by the salesperson increases. Third, as accounts increase from a low level, role stress increases; when the number of accounts reaches an optimal level, role stress decreases; and when the number of accounts increases to a high level, it can be detrimental to the salesperson's role stress. Fourth, while product complexity is positively related to role ambiguity, brand strength is negatively related to both role ambiguity and role conflict. Fifth, the greater the brand strength, the weaker the relationship will be between the number of accounts handled and salesperson role ambiguity. Finally, role ambiguity is positively related to salesperson performance. Conclusion - Too much and too little accounts increase the role ambiguity and role conflict of salespersons. Managers should identify the complex effect of the number of accounts handled by salespeople. Also, when products are complex, managers should provide training to eliminate any complex processes and complex information. These results suggest ways to decrease salespersons' role stress by ensuring an optimal level of the number of accounts and brand strength.

• 한국정보통신학회논문지
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• 제19권3호
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• pp.537-542
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• 2015

종합적 표준 임상 의학용어 체계인 SNOMED CT는 용어의 방대함 및 구조의 복잡성 때문에 환자 상태를 표현하는 가장 적합한 용어를 짧은 진료 시간 내에 선택하기가 어려운 용어 선택의 모호성 문제를 내포하고 있다. 본 논문에서는 용어 검색 과정에서 발생하는 동일하거나 유사한 용어를 분석하고 이를 효과적으로 구분하기 위한 용어 비교 검색 기법을 제시한다. 제안하는 기법은 용어의 계층 구조 분석을 통해 용어 간 "is-not-a" 관계를 새로 정의함으로써 두 비교 대상 용어의 차이점을 명확하게 하는 특징이 있다. 이를 통해 진료 과정에서 유사한 이름을 가진 용어들 중 환자의 상태를 가장 적합하게 표현하는 용어를 빠르게 선택함으로써 SNOMED CT의 활용성을 개선한다.

• 복식
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• 제33권
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• pp.157-173
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• 1997

The Mannerism which was born on Italy in 16th century was the critical trend of art influencing the political economical and psychological trends and was the first mo-dality which respected the individual sense of artist. The cultural situation of that time es-pecially the alienation of men is similar to the pluralism of value the coexistency of conflict the acceptance of heterogeneity and uncer-tainty I modern century. This paper analysed the pattern of change in the trend of Mannerism in modern costume by comparing current trend from the past focus-ing th fact that the over-all situation in this century is similar to that of Mannerism in 16th century. In this paper the author suggests the Defor-mation Ambiguity and Irreglarity as the character of manneristic trend which has re-solved the sense of alienation of men by paradoxic expression. The results of comparing the characteristic of mannerism to the modern costume is followd; 1. The Deformation in modern costume is grossly subdivided to the transfrmation of morphology the transformation of scale and the breakdown of equilibrium 2. The ambiguity in the modern costume can be subdivided to the eclecticistic expression and the ambiguity of spatial concept(between inner and outer garments). 3. The illogiclities in modern costume are the technique of illusion structural illogicality and the collage technique.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2003년도 봄 학술발표회 논문집
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• pp.357-365
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• 2003

The major problems with the conventional neural network, especially Back Propagation Neural Network, arise from the necessity of many training data for neural network learning and ambiguity in the relation of neural network structure to the convergence of solution. In this paper, the PNN is used as a pattern classifier to detect the damage of structure to avoid those drawbacks of the conventional neural network. In the PNN-based pattern classification problems, the probability density function for patterns is usually assumed by Gaussian distribution. But, in this paper, several probability density functions are investigated in order to select the most approriate one for structural damage assessment.