• Korean Journal of English Language and Linguistics
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• v.3 no.4
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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.

• Knowledge Management Research
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• v.15 no.3
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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.

• Journal of the East Asian Society of Dietary Life
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• v.20 no.4
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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.

• Korean Journal of English Language and Linguistics
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• v.1 no.3
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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.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 1983.04a
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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.

• Proceedings of the Korean Society for Language and Information Conference
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• 1983.02a
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• pp.27-58
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• 1983

• Smart Media Journal
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• v.7 no.4
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• pp.24-29
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• 2018

Text analysis technique for natural language processing in deep learning represents words in vector form through word embedding. In this paper, we propose a method of constructing a document vector and classifying it into spam and normal text message, using word embedding and deep learning method. Automatic spacing applied in the preprocessing process ensures that words with similar context are adjacently represented in vector space. Additionally, the intentional word formation errors with non-alphabetic or extraordinary characters are designed to avoid being blocked by spam message filter. Two embedding algorithms, CBOW and skip grams, are used to produce the sentence vector and the performance and the accuracy of deep learning based spam filter model are measured by comparing to those of SVM Light.

• Fashion & Textile Research Journal
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• v.18 no.1
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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.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.39 no.6
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• pp.11-23
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• 2002

Computational models up to now for Korean morphology have been linear in that it deal with only segmentation of morphemes rather than formation of the internal structure of a word. When integrating a linear computational model with syntax analysis, it requires an additional interface component between this model and the syntax to bind morphemes into sentence constituents. Furthermore the linear model is not semantically intuitive. In this paper, based on word-syntactical viewpoint, we propose an integrated computational model that deals with morpheme segmentation, formation of syntactic element (sentence constituent), and even internal structure of word. Formalism of two-level morphology is employed to cope with morpheme segmentation and alternation problems, and functional diacritics are proposed to incorporate categorial context into the two-level formalism. A modified GLR-based algorithm is also proposed to check syntactical constraint of morphemes.

• Management & Information Systems Review
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• v.29 no.1
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• pp.117-144
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• 2010

This paper planned to review positively the influence of leading variables - Functional benefits, Emotional benefits, Self-expressive benefits over Consumer-brand relationship, and the structural relationship between Consumer-brand relationship and Brand attachment, Word-of-mouse. For it, we verified our hypothesis utilizing Hierarchial chi-square analysis that was available to statistically verify the size between 2 paths out of Structural models As the result of research, Emotional benefits was more influential than Functional benefits in the formation of Consumer-brand relationship. Additionally, the influential difference between Emotional benefits and Self-expressive benefits was not found in the formation of Consumer-brand relationship. In other words, both Emotional benefits and Functional benefits were proved to have a positive influence on forming Consumer-brand relationship. On the other hand, Self expressive benefits played a more influential role than Functional benefit in the formation of Consumer-brand relationship. The fact was also proved that the higher the formation level of Consumer -brand relationship was, the greater positive influence over Brand attachment and Word-of-mouse Through the above results, it is more desirable to establish brand strategy for forming Consumer-brand relationship through Emotional benefits and Self expressive benefits rather than Functional benefits. Additionally, the Consumer-brand relationship formed by Value benefit is expected not only to get the level of attachment, showing like love, toward the brand deeper, but also to achieve the effect of positive, long term communication through voluntary Word-of-mouse.