• 한국의상디자인학회지
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• 제16권1호
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• pp.91-103
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• 2014

In this study, 70 national brands among men's wear brands were selected to examine linguistic characteristics of domestic national men's wear brand names. Linguistic factors which were used in national men's wear brand names were analyzed to understand their characteristics. Formative and semantic characteristics of each brand name were analyzed on the basis of the results from previous studies. It was found that long words with over four syllables are preferred than short words and single words in the form of noun are frequently used for domestic national men's wear brand names in terms of linguistic formality. English is most widely used in brand names, and European languages such as French, Spanish, and Italian are also used frequently under the influence of the country of origin. Next, the analysis result on the semantic characteristics of domestic national men's wear brand names showed that descriptive brand names are used to convey brand information directly and easily, or freestanding brand names which are absolutely irrelevant and newly coined words are chosen to create a characteristic image. In other words, brand names represent detailed business and product category of men's wear by forming a brand image of men's wear (ex. Man, Homme, Zio), and provide the information about properties and benefits related to the product such as dignity, masterpiece, and luxurious lifestyle to consumers by presenting the concept of the brand.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2000년도 제13회 춘계학술대회 및 임시총회 학술발표 논문집
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• pp.480-482
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• 2000

XML은 기존 HTML의 한계를 극복할 수 있는 새로운 기술로 다양한 응용분야에 활용되고 있으며 많은 응용 제품들이 개발되고 있다. XML편집기, XSL편집기, XML브라우져, XML저장 관리기, XML문서 저장 관리기, XML문서 검색기, XML Conversion Tool등의 다양한 XML응용 프로그램에서 사용할 수 있는 표준 라이브러리 API인 DOM(Document Object Model)과 SAX(Simple API for XML)를 지원하며 XML문서의 모든 구성요소에 대한 처리를 할 수 있는 파서가 요구되고 있다. 이에 본 논문에서는 다양한 응용 프로그램의 요구사항을 분석하고 이를 반영하여 처리할 수 있는 XML Toolkit모델을 제시한다. 본 XML Toolkit은 W3C XML 1.0스펙과 W3C Namespaces in XML스펙과 W3C DOM Level 1스펙을 지원하며 XML사용자 그룹에서 정의한 SAX를 지원한다. 또한 표준 API로 접근할 수 없거나 그 기능이 표준에서 정의되지 않은 추가 기능을 제공하기 위한 XML문서의 내부자료구조를 정의하고 이의 처리를 위한 API를 제공한다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.995-1000
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• 2003

This paper proposes the pedestrian navigation system which deals with subjective information. This system consists of the route setting part and the instruction generation part. The route setting part chooses the route with highest subjective satisfaction degree. The instruction generation part gives users the instructions based on the users' sensuous feeling of distance with linguistic expressions. Fuzzy measures and integrals are applied to the calculation of the satisfaction degree of the route which reflects the users' taste for routes. The instruction generation part has database of users' cognitive distance. Users' cognitive distances are expressed by fuzzy sets that correspond to linguistic terms. The system generates the instructions with linguistic terms which have the highest fitness value for the users' sensuous feeling of distance. This paper also performs subjective experiments in order to confirm the validity of the present system.

• 한국산업정보학회논문지
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• 제6권3호
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• pp.35-43
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• 2001

이 논문에서는 WBI(Web-Based Instruction) 시스템의 영역 독립적인 학습자 모듈을 구축하는데 있어 핵심이 되는 요소를 영역 전문가가 쉽게 입력할 수 있도록 하기 위하여 퍼지이론의 언어 변수 개념을 도입한 학습자 응답 진단 공식을 제안한다. 또한 학습자의 인지 상태를 추론하는 규칙을 영역 전문가가 언어변수를 입력하여 구축할 수 있도록 하고 이 규칙을 이용하여 학습자의 인지 상태를 추론할 수 있도록 학습자 모듈을 설계한다.

• 한국언어정보학회지:언어와정보
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• 제14권1호
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• pp.145-163
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• 2010

This paper aims to propose that Benford's Law, non-uniform distribution of the leading digits in lists of numbers from many real-life sources, also appears in linguistic texts. The first digits in the frequency lists of morphemes from Sejong Morphologically Analyzed Corpora represent non-uniform distribution following Benford's Law, but showing complexity of numerical sources from complex systems like earthquakes. Benford's Law in texts is a principle reflecting regular distribution of low-frequency linguistic types, called LNRE(large number of rare events), and governing texts, corpora, or sample texts relatively independent of text sizes and the number of types. Although texts share a similar distribution pattern by Benford's Law, we can investigate non-uniform distribution slightly varied from text to text that provides useful applications to evaluate randomness of texts distribution focused on low-frequency types.

• ETRI Journal
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• 제32권3호
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• pp.482-485
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• 2010

Feature selection is very important for feature-based relation classification tasks. While most of the existing works on feature selection rely on linguistic information acquired using parsers, this letter proposes new features, including probabilistic and semantic relatedness features, to manifest the relatedness between patterns and certain relation types in an explicit way. The impact of each feature set is evaluated using both a chi-square estimator and a performance evaluation. The experiments show that the impact of relatedness features is superior to existing well-known linguistic features, and the contribution of relatedness features cannot be substituted using other normally used linguistic feature sets.

• 한국언어정보학회지:언어와정보
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• 제7권2호
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• pp.103-115
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• 2003

In recent years, many organizations have been constructing their own large corpora to achieve corpus representativeness. However, there is no reliable guideline as to how large corpus resources should be compiled, especially for Korean corpora. In this study, we have contrived a new statistical model, ARIMA (Autoregressive Integrated Moving Average), for predicting the relationship between linguistic items (the number of types) and corpus size (the number of tokens), overcoming the major flaws of several previous researches on this issue. Finally, we shall illustrate that the ARIMA model presented is valid, accurate and very reliable. We are confident that this study can contribute to solving some inherent problems of corpus linguistics, such as corpus predictability, corpus representativeness and linguistic comprehensiveness.

• 한국언어정보학회지:언어와정보
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• 제3권1호
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• pp.65-82
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• 1999

The interests in Machine Translation(MT) have gotten revitalized lately with the rapid expansion of internet users. MT technology has gone through several different stages of development, but the longest surviving methods usually maintains the following characteristics: the expand ability and flexibility based on proved linguistic formalism, the transfer method of translation, the continued efforts of systematic updates being made into the system. This paper introduces one such system, L&H Korean-English bidirectional MT system. This system uses Lexical-Functional Grammar as its linguistic framework. It also adopts the transfer method of MT and has been around on the market for over 10 years for other language pairs. Currently, the system covers over 10 different languages including Chinese, Japanese and Arabic, in addition to European languages. This paper will review the system in its core and discuss related tools and resources be ing used to enhance the quality of translation.

• 한국언어정보학회:학술대회논문집
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• 한국언어정보학회 2007년도 정기학술대회
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• pp.3-12
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• 2007

Coverage has been a constant thorn in the side of deployed deep linguistic processing applications, largely because of the difficulty in constructing, maintaining and domaintuning the complex lexicons that they rely on. This paper reviews various strands of research on deep lexical acquisition (DLA), i.e. the (semi-)automatic creation of linguistically-rich language resources, particularly from the viewpoint of DLA for precision grammars.

• 대한음성학회:학술대회논문집
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• 대한음성학회 2003년도 5월 학술대회지
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• pp.32-35
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• 2003

This paper describes our recent work for developing a baseline platform for Korean spoken dialog recognition. In our work, We have collected about 65 hour speech corpus with auditory transcriptions. Linguistic information on various levels such as mophology, syntax, semantics, and discourse is attached to the speech database by using automatic or semi-automatic tools for tagging linguistic information.