• 한국영어학회지:영어학
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• 제3권4호
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• pp.611-635
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• 2003

The main purpose of this study is to find out what teaching method is more effective than others through experiments for college students. Therefore, this study aims to review various effective methods of vocabulary teaching. According to the results of the experiments, the methods of teaching vocabulary through the process of word formation and meaningful words led to the high scores at the posttest regardless of the scores gained by the individual subjects at the pretest. However, the method of teaching vocabulary through context showed that the improved scores at the posttest generally reflected the individual differences of the scores at the pretest. That is, in the latter, it is recognizable that the subjects who achieved the high scores at the pretest did very well at the posttest as well. In conclusion, judging from the mean rate of improvement, the method of teaching vocabulary through word formation seems to be more effective than that of teaching vocabulary through meaningful words and context.

• 지식경영연구
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• 제15권3호
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• pp.141-168
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• 2014

Purchasing through Internet shopping mall has more uncertainty compared with offline shopping mall. Previous studies have presented that trust plays a role of reducing uncertainty and increasing purchasing intention. In this study, we suggest that third-party assurance and word-of-mouth contribute to the formation of trust. In addition, we also propose that ease of product evaluation plays moderating roles in the relationships between third-party assurance, word-of-mouth and trust. For this study, we collected sample data from two groups consisting of online shoppers purchasing the search goods and experience goods categorized by type of ease of product evaluation. Empirical results show that word-of-mouth and third-party assurance have different effects on trust in two groups. The third-party assurance has a stronger impact on trust in online shopping group of the search goods than in the experience goods, while word-of-mouth in the online community has a stronger impact on trust in online shopping group of the experience goods than in the search goods. We expect that this result will provide researchers and managers who are interested in trust formation factors in online shopping mall with useful theoretical and practical implications.

• 동아시아식생활학회지
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• 제20권4호
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• pp.606-618
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• 2010

The study investigated how 'word of mouth' originates in the chain restaurant industry. It has long been acknowledged that 'word of mouth' is a critical factor for the success of a restaurant business due to its targetability and cost effectiveness. A review of the literature revealed four antecedents of 'word of mouth': service quality, perceived value, satisfaction, and relationship quality. Based on the theoretical/empirical relationships between those constructs, a structural model composed of the hypotheses was proposed. The structural model was tested with data collected from 471 chain restaurant patrons. The structural equation modeling analysis revealed that five constructs in the proposed model are interrelated, and during this process, word of mouth is formed in the chain restaurant industry. A positive relationship between service quality and satisfaction (0.265, p<0.05), service quality and perceived value (0.831, p<0.05), service quality and relationship quality (0.465, p< 0.05), and service quality and WOM (0.263, p< 0.05) were found, indicating that service quality is a key prerequisite for word of mouth and other constructs proposed in the model. It was revealed that perceived value doe not have a direct impact on WOM formation (t=1.275, p=0.202), but a positive relationship between perceived value and satisfaction (0.293, p<0.05) and between satisfaction and WOM (0.627, p< 0.05) were found. Therefore, it was concluded that patrons' perceived value influences word of mouth formation, but that impact is mediated by satisfaction. During this process, relationship quality also plays a mediating role in generating word of mouth. Based on data analysis, theoretical/managerial implications are discussed.

• 한국영어학회지:영어학
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• 제1권3호
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• pp.369-386
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• 2001

This paper will show that traditional approaches to the derivation of different negative words have been of an essentially hypothetical nature, based on either linguists' intuitions or rather scant evidence, and that native-speaker dictionary entries show meaning potentials (rather than meanings) which are in fact linguistic and cognitive prototypes. The purpose of this paper is to demonstrate that using a large corpus of natural language can provide better answers to questions about word-formation (i.e., with particular reference to negative prefixation) than any other source of information.

• 한국통신학회:학술대회논문집
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• 한국통신학회 1983년도 춘계학술발표회논문집
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• pp.18-28
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• 1983

This paper describes the result of a series of fundamental researches on a word processing system, named WORD80. Given the text consisting of Ilanguel characters, Chinese characters, English alphabets and other special characters, it can provide-ㄴo-see printout, after having processed according to the commands used to control the output format of the text. Since each Hanguel character in input text is made up of and is represented as some compoents, it uses the deterministic finite automata for the formation of Hanguel from its components. When developed at first, the WORD80 can perform Hanguel to Chinese transition character by character by character. But it was thought to be more practical to do this word by word.

• 한국언어정보학회:학술대회논문집
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• 한국언어정보학회 1983년도 PROCEEDINGS OF THE SECOND JAPANESE-KOREAN JOINT WORKSHOP ON FORMAL GRAMMAR at KYOTO
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• pp.27-58
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• 1983

• 스마트미디어저널
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• 제7권4호
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• pp.24-29
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• 2018

딥러닝에서 자연어 처리를 위한 텍스트 분석 기법은 워드 임베딩을 통해 단어를 벡터 형태로 표현한다. 본 논문에서는 워드 임베딩 기법과 딥러닝 기법을 이용하여 SMS 문자 메시지를 문서 벡터로 구성하고 이를 스팸 문자 메시지와 정상적인 문자 메시지로 분류하는 방법을 제안하였다. 유사한 문맥을 가진 단어들은 벡터 공간에서 인접한 벡터 공간에 표현되도록 하기 위해 전처리 과정으로 자동 띄어쓰기를 적용하고 스팸 문자 메시지로 차단되는 것을 피하기 위한 목적으로 음절의 자모를 특수기호로 왜곡하여 맞춤법이 파괴된 상태로 단어 벡터와 문장 벡터를 생성하였다. 또한 문장 벡터 생성 시 CBOW와 skip gram이라는 두 가지 워드 임베딩 알고리즘을 적용하여 문장 벡터를 표현하였으며, 딥러닝을 이용한 스팸 문자 메시지 필터링의 성능 평가를 위해 SVM Light와 정확도를 비교 측정하였다.

• 한국의류산업학회지
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• 제18권1호
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• pp.15-26
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• 2016

Many brands are attempting to use consumers as a part of their marketing strategies, due to the fashion industry's sensitive response to consumers' reaction. In addition, due to the popularity of e-WOM(electronic Word-Of-Mouth), fashion brands are highly sensitive to their supporters' online reviews. Amid this background, the main objectives of this study are as follows: 1) to analyze the effect of online reviews' attributes and valences on forming an impression about a fashion brand; 2) to examine the online re-WOM(word-of-mouth) effect of online reviews by fashion brand supporters on brand attitude; and 3) to measure the moderating effect of fashion involvement in online re-WOM intention. In order to verify the research model and to test the proposed hypotheses, a 2 (utilitarian vs. hedonic review attributes) by 2 (positive vs. negative review valences) model is constructed and gathers 215 respondents. The results demonstrate that consumers form the highest reliable impression based on utilitarian and negative online reviews. However, there is no relationship between the types of online reviews and the formation of a favorable impression. Findings also reveal that the impression formed by online reviews has a positive effect on re-WOM intention, contributing to brand attitude. In addition, the hypothesis about the moderating effect produced by fashion involvement on re-WOM is supported. In conclusion, these results suggest that online reviews by fashion brand supporters have a powerful effect on forming a consumer's impression towards a fashion brand, affecting re-WOM intention and brand attitude.

• 전자공학회논문지CI
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• 제39권6호
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• pp.11-23
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• 2002

한국어 형태론에 대한 기존의 전산모형은 선형적인 것들로 단어 내부구조 분석보다 형태소 분리 문제에만 관심을 두고 있다. 이러한 선형적 전산모형을 구문 분석 과정과 통합적으로 고려할 경우, 구문 단위 요소의 형성을 위해 형태소 분석 결과를 묶어야만 하는 추가적인 과정이 필요할 뿐만 아니라 의미적 직관성을 얻기도 어려웠다. 본 논문에서는 형태소 분리와 구문 요소 형성뿐만 아니라 단어의 구조 분석까지도 통합적으로 다룰 수 있는 단어통사론적 시각에 따른 전산 모형을 제안한다. 먼저 형태소 분리와 변형 문제를 다루기 위해 2단계형태론의 형식화를 도입하고, 품사 문맥을 반영하기 위해 기능성 구분문자를 제안한다. 그리고 형태소의 통사적 결합 검사를 위해 GLR에 기반한 변형 알고리즘을 제안한다.

• 경영과정보연구
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• 제29권1호
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• pp.117-144
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• 2010

본 연구는 소비자 관계에 영향을 미치는 선행 변수로 기능적 편익, 정서적 편익, 자아표현적 편익이 어떠한 영향력을 행사하며, 이러한 소비자-브랜드 관계가 브랜드 애착과 구전에 어떠한 구조적 관계를 나타내는지를 실증적으로 검증하여 살펴보고자 하였다. 이를 위해 구조방정식 모형(Structural Equation Model) 중에서 두 경로 간 크기를 통계적으로 검증할 수 있는 위계적 카이스퀘어 분석(hierarchical chi-squal analysis)을 통해 가설을 검증하였다. 연구 결과 기능적 편익보다는 정서적 편익이 소비자-브랜드 관계 형성에 미치는 영향력이 우세하였다. 또한 소비자-브랜드 관계 형성에 있어 정서적 편익과 자아표현적 편익은 영향력 차이는 나타나지 않았다. 즉, 정서적 편익과 기능적 편익 모두 소비자-브랜드 관계 형성에 긍정적인 영향을 미치는 것으로 나타났다. 반면, 기능적 편익보다는 자아표현적 편익이 소비자-브랜드 관계 형성에 우세한 역할을 행사하는 것으로 나타났다. 소비자-브랜드 관계 형성정도가 높을수록 브랜드 애착과 구전에 긍정적인 영향을 미치는 것으로 나타났다. 이들 결과를 통해 보면 소비자-브랜드 관계 형성을 위해서는 기능적 편익보다는 정서적 편익과 자아표현적 편익을 통해 브랜드 전략을 수립하는 것이 바람직하다. 또한 이러한 가치 편익을 통해 형성된 소비자-브랜드 관계는 브랜드에 대한 사랑과 같은 애착 정도가 깊어질 뿐 아니라 자발적인 구전을 통해 긍정적이고 장기적인 커뮤니케이션 효과를 달성할 수 있을 것으로 기대된다.