• Asia Pacific Journal of Corpus Research
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• v.1 no.2
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• pp.1-14
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• 2020

Previous work has shown that men both explain and value the act of explaining more than women, as explaining conveys expertise. However, previous studies are limited to English. We conducted an exploratory study to see if similar patterns are seen amongst Japanese speakers. We examined three registers of Japanese: conversational interviews, simulated speeches, and academic presentations. For each text, we calculated two measures: lexical density and the percentage of the text written in kanji. Both are indicators of expository language. Men produced significantly higher scores for the interviews and speeches. However, the results for the presentations depend on age and academic field. In fields in which women are the minority, women produce higher scores. In the field in which men are the minority, younger men produced higher scores but older men produced lower scores than women of the same age. Our results show that in academic contexts, the explainers are not necessarily men but rather the gender minority. We argue that such speakers are under social pressure to present themselves as experts. These results show that the generalization that men tend to explain more than women does not always hold true, and we urge more academic work on expository language.

• International Journal of Advanced Culture Technology
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• v.11 no.1
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• pp.241-252
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• 2023

Watercolour painting was introduced to China over a hundred years ago, and in the last two decades, it has developed rapidly, presenting a situation of diversified development. While Western-style watercolour painting has been adopted by Chinese painters, they have also expanded on it with their own aesthetic awareness and cognitive styles. As a result, Chinese watercolour painting has developed a set of expressive techniques that highlight the cultural characteristics of the nation in terms of aesthetics, concepts and techniques, resulting in a painting style with a distinctive national personality at present. Although Chinese watercolour painting has taken on a variety of styles with the intervention of modern and contemporary art, realistic watercolour painting is still the mainstream. However, there are obvious differences between the "realism" of Chinese watercolour painting and the "realism" of Western watercolour painting in terms of expression. The most distinctive feature is the "imagery" language of expression, which is closely linked to the cultural heritage of Chinese tradition and is of great value for research. I interpret the aesthetics, composition, colour and brushwork of Chinese realistic watercolour painting from the perspective of traditional Chinese aesthetics in order to deepen the understanding of Chinese realistic watercolour painting and to provide a reference for the further development of the art of Chinese realistic watercolour painting.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.12
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• pp.8147-8156
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• 2015

This study analyzes the Pattern Language of Insadong-gil in street environmental design analysis for street vitalization. The urban public spaces, such as pedestrian streets, parks and plazas, have been increased with rapid urbanization and industrialization. But the fact is the satisfied spaces with the behavior patterns of users is little. This is because of the too much slanted thought toward formal supply and management of spaces without enough consideration for people and spatial quality of public spaces. The purpose of this study is to find out the factors to make the street more vital and diverse and to give the characteristic of region through the research on Insadong street with the pattern language of Christopher Alexander. So, throughout the value recognition of the changing urban street environment that has been changed by age selected spatial characteristic of public spaces. By selecting a suitable pattern language for each spatial characteristics provide the basis for street environmental design analysis. For this study, look at the relationship between pattern language focused on Insadong street, pattern language as the vitalization factor of street were analyzed 16 elements, including Pedestrian Street(100), Building Fronts(122), Activity Nodes(30) etc. This study focuses on street environmental design analysis of Insadong-gil through the Pattern Language, it propose the criteria and guidelines that will help enable street vitalization.

• Cartoon and Animation Studies
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• s.10
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• pp.1-16
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• 2006

This thesis aims to recall the importance of language in comics by studying comic strips in Korean daily newspapers: the comic strips are analyzed for rhetorical puns in its language text as they representatively show the value and role of language in comics. Moreover, Korean comic strips, as they developed into current affairs comics, acquired a stronger media characteristic of communicating information compared to other genres of cartoons. As a result, comics strips have become a genre where language plays an important role and the words needing to be able to convey the meaning quickly and implicitly. Due to tight control of national authority, the language technique developed into an indirect expression rather than a stronger direct imaging technique. The political oppression of the comic strip paradoxically brought on the rhetorical development in the creative techniques. Based on this analysis, the writer studied the rhetorical puns of the texts Korean comic strips by implementing the classification techniques of rhetoric expressions. As a result, through quotes and analysis of actual comic strips, the writer confirmed that Korean comic strips do actually show tremendously vast rhetorical puns in its language application techniques. The writer was also able to conclude that the rhetorical puns in comics were the force entertaining and impressing the readers, and also acting as the creative principle. Concluding this study, the writer emphasizes that language, not only in comic strips, is a combination of words and images and is also an important factor in all cartoons in general. Thus the thesis proposes that the training of humanistic thoughts and linguistic sensitivity are as important as learning to draw in the creation of cartoons.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.27-40
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• 2023

With the increase in the spread of smart devices and the impact of COVID-19, the consumption of media contents through smart devices has significantly increased. Along with this trend, the amount of media contents viewed through OTT platforms is increasing, that makes contents recommendations on these platforms more important. Previous contents-based recommendation researches have mostly utilized metadata that describes the characteristics of the contents, with a shortage of researches that utilize the contents' own descriptive metadata. In this paper, various text data including titles and synopses that describe the contents were used to recommend similar contents. KLUE-RoBERTa-large, a Korean language model with excellent performance, was used to train the model on the text data. A dataset of over 20,000 contents metadata including titles, synopses, composite genres, directors, actors, and hash tags information was used as training data. To enter the various text features into the language model, the features were concatenated using special tokens that indicate each feature. The test set was designed to promote the relative and objective nature of the model's similarity classification ability by using the three contents comparison method and applying multiple inspections to label the test set. Genres classification and hash tag classification prediction tasks were used to fine-tune the embeddings for the contents meta text data. As a result, the hash tag classification model showed an accuracy of over 90% based on the similarity test set, which was more than 9% better than the baseline language model. Through hash tag classification training, it was found that the language model's ability to classify similar contents was improved, which demonstrated the value of using a language model for the contents-based filtering.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.05a
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• pp.222-229
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• 2002

A value net is a business design that uses digital supply chain concepts to achieve both superior customer satisfaction and company profitability. In order to implement the value net model, information processing and distribution needs to occur in real time. Software agent technology is becoming popular due to the inherent characteristics of autonomy, distributedness and modularity. In this paper, we adopt agent technology to handle all real time decision process, making the value net model a complex multi-agent network of decision makers. For the agents to properly coordinate their respective activities we develop MAVN model, a Web-based multi-agent language grounded in the XML and Java.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.11a
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• pp.271-275
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• 2005

In this research, we propose a Unified Fuzzy rule-based knowledge Inference Systems UFIS) to help the expert in cosmetic brand detection. Users' preferred cosmetic product detection is very important in the level of CRM. To this Purpose, many corporations trying to develop an efficient data mining tool. In this study, we develop a prototype fuzzy rule detection and inference system. The framework used in this development is mainly based on two different mechanisms such as fuzzy rule extraction and RDB (Relational DB)-based fuzzy rule inference. First, fuzzy clustering and fuzzy rule extraction deal with the presence of the knowledge in data base and its value is presented with a value between $0\∼1$. Second, RDB and SQL(Structured Query Language)-based fuzzy rule inference mechanism provide more flexibility in knowledge management than conventional non-fuzzy value-based KMS(Knowledge Management Systems)

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.5 no.4
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• pp.353-359
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• 2005

In this research, we propose a Unified Fuzzy rule-based knowledge Inference Systems (UFIS) to help the expert in cosmetic brand detection. Users' preferred cosmetic product detection is very important in the level of CRM. To this purpose, many corporations trying to develop an efficient data mining tool. In this study, we develop a prototype fuzzy rule detection and inference system. The framework used in this development is mainly based on two different mechanisms such as fuzzy rule extraction and RDB (Relational DB)-based fuzzy rule inference. First, fuzzy clustering and fuzzy rule extraction deal with the presence of the knowledge in data base and its value is presented with a value between 0 -1. Second, RDB and SQL (Structured Query Language)-based fuzzy rule inference mechanism provide more flexibility in knowledge management than conventional non-fuzzy value-based KMS (Knowledge Management Systems).

• Journal of Information Processing Systems
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• v.13 no.4
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• pp.863-875
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• 2017

The traditional text similarity measurement methods based on word frequency vector ignore the semantic relationships between words, which has become the obstacle to text similarity calculation, together with the high-dimensionality and sparsity of document vector. To address the problems, the improved singular value decomposition is used to reduce dimensionality and remove noises of the text representation model. The optimal number of singular values is analyzed and the semantic relevance between words can be calculated in constructed semantic space. An inverted index construction algorithm and the similarity definitions between vectors are proposed to calculate the similarity between two documents on the semantic level. The experimental results on benchmark corpus demonstrate that the proposed method promotes the evaluation metrics of F-measure.

• English Language & Literature Teaching
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• v.13 no.3
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• pp.1-22
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• 2007

The study examined the effects of explicit derivational morphology instruction (henceforth DMI) on the incidental vocabulary acquisition and reading comprehension of 132 Korean 1st-year high school students who responded to a battery of tests (two vocabulary tests and a reading comprehension test). Multiple statistical tools were used to analyze the data: Analysis of Covariance (ANCOVA), Analysis of Variance (ANOVA), Simple Regression Analysis, Tests of Simple Main Effects, and effect size computation using Cohen's d. The results indicated that (a) DMI enhanced students' ability to infer word meanings in context, (b) DMI promoted high proficiency students' reading comprehension, whereas it impeded intermediate proficiency students' reading comprehension, (c) vocabulary knowledge has a strong positive predictive value for reading comprehension, and (d) the gaps of vocabulary knowledge across proficiency levels were still substantial, despite the observation that DMI promoted students' vocabulary acquisition. These results have a bearing on English as Foreign Language (EFL) reading pedagogy.