• Journal of the Korea Society of Computer and Information
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• v.8 no.3
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• pp.107-112
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• 2003

Recently, as use of chatting system is generalized, chatting system was utilized as an education tool that study English. Chatting system that do general chatting system and Hangul limitation chatting system is used for present English chatting. This chatting system is problem to use together with English and Hangul, or do not respond because done not know contents of word and so on. This Paper proposed EPUE chatting system that can heighten education effect of leading and writting in english supporting various function that do suitable control and guidance to English chatting user, that improve performance to use together with C/S and P2P.

• Proceedings of the Korea Multimedia Society Conference
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• 2012.05a
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• pp.259-261
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• 2012

Chatting room has become widely using technology and it is vulnerable to the internet attackers. We proposed a chatting system using a Purebasic programming language to communicate across networks system. Chatting room text is a form of instant messaging between two or group of people. A Communication experiment was designed and implemented to confirm the validity of the developed chatting system on a trusted platform.

• Journal of the Korea Society of Computer and Information
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• v.23 no.11
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• pp.151-158
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• 2018

As the competition of 21 cyber universities in Korea has been on a continual increase, they are focusing on improving the quality of the e-learning education in cyber universities. In this study, we intended to derive the failure factors of the previous chatting system in the 2010s and the success factors from previous studies. Next, we identified priorities among five factors(Reliability, UI Convenience, Usability, Network effect, Operational policy) using AHP and the practical ways to implement the chatting service. We applied the chatting system to all the curriculums of S cyber university. Our study finds that the chat service affects the satisfaction of education. Finally, we propose the utilization plan to improve the e-learning education of cyber university through the findings of this research.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.6
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• pp.261-268
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• 2015

In spoken chatting systems, users'spoken queries are converted to text queries using automatic speech recognition (ASR) engines. If the top-1 results of the ASR engines are incorrect, these errors are propagated to the spoken chatting systems. To improve the top-1 accuracies of ASR engines, we propose a post-processing model to rearrange the top-n outputs of ASR engines using a ranking support vector machine (RankSVM). On the other hand, a number of chatting sentences are needed to train chatting systems. If new chatting sentences are not frequently added to training data, responses of the chatting systems will be old-fashioned soon. To resolve this problem, we propose a data collection model to automatically select chatting sentences from TV and movie scenarios using a support vector machine (SVM). In the experiments, the post-processing model showed a higher precision of 4.4% and a higher recall rate of 6.4% compared to the baseline model (without post-processing). Then, the data collection model showed the high precision of 98.95% and the recall rate of 57.14%.

• Journal of Korea Game Society
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• v.17 no.1
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• pp.99-108
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• 2017

Communication is one of the very important factor in MMORPGs where a large number of users participate at the same time. The voice chatting system, which was appeared in the development process of the chatting system, failed in Korea but it was a great success in China. The purpose of this study is to analyze this cause. The research scope of this study is as follows. We set the range of this study from 2003 to 2015. This period covers the beginning of the growth of the Chinese game industry up to the present. The research target games are MMORPGs, which ranked 1st in sales and concurrent users. In the research and survey analysis process, various factors such as the input speed of Chinese and Korean characters and the relationship between men and women were investigated and analyzed. In conclusion, chatting system in Chinese MMORPGs has developed into three stages and we found out that voice chatting in China was relatively popularized rather than in Korea. China's slow typing speed and excellent voice chatting system were the main factors.

• Korean Journal of Cognitive Science
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• v.20 no.4
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• pp.421-437
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• 2009

A chatting system is a computer program that simulates conversations between a human and a computer using natural language. In this paper, we propose a statistical model to generate natural chatting sentences when keywords and speech acts are input. The proposed model first finds Eojeols (Korean spacing units) including input keywords from a corpus, and generate sentence candidates by using appearance information and syntactic information of Eojeols surrounding the found Eojeols. Then, the proposed model selects one among the sentence candidates by using a language model based on speech act information, co-occurrence information between Eojeols, and syntactic information of each Eojeol. In the experiment, the proposed model showed the better correct sentence generation rate of 86.2% than a previous conventional model based on a simple language model.

• Journal of The Korean Association of Information Education
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• v.15 no.4
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• pp.561-569
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• 2011

In order to solve the problems of the information society and the reverse function of chatting, there is a growing need of seeking out approachable educational methods. Therefore, we need to offer that addresses these issues ethical education from elementary school years where the creation of sound personality and its course may be hurt unless otherwise. Yet, there is no detailed curriculum for chatting education which is one of the detailed education areas. Also, how to offer and utilize the chatting education has never been mentioned. Moreover, only reverse function of information-driven changes have been emphasized whereas their desirable functions and information ethical principles have been simply neglected. The paper presents the effectiveness for improvement the school chatting education.

• The Journal of Korean Association of Computer Education
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• v.3 no.1
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• pp.65-74
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• 2000

Based on recent fast development of computer and telecommunication technologies, the Distance Education System(DES) was introduced and utilized widely in the area of education. For an immediate and fluent communication between the teacher and the student under DES, the chatting subsystem was effectively used. However, the current chatting systems are not able to receive and transmit the mathematical symbols despite their indispensability in the process of problem and solution setting under remote mathematical education. In this study, thus, Equation Chatting System that can receive and send the mathematical symbols under the graphical user interface was designed and implemented.

• Journal of The Korean Association of Information Education
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• v.9 no.1
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• pp.99-112
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• 2005

In this research, we analyze chatting language of elementary school students, present the properties which are a result of this analysis and propose the method to solve it. Analysis on the chatting language considering organic relation of sentences is classified into syntactic, semantic and statistical characteristics. As a result of analysis, new characteristics is discovered writing by the way children pronounce their words, writing by switching the order of syllable's frontal and rear ends, inarticulate conversation of the other man. To minimize language misuse and to establish a chatting culture that is favorable to the development of children's emotional development, we propose the methods of computer system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.7
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• pp.1531-1536
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• 2011

We propose an automatic swearword filter system for online game chatting by using Support Vector Machines(SVM). We collected chatting sentences from online games and tagged them as normal sentences or swearword included sentences. We use n-gram syllables and lexical-part of speech (POS) tags of a word as features and select useful features by chi square statistics. Each selected feature is represented as binary weight and used in training SVM. SVM classifies each chatting sentence as swearword included one or not. In experiment, we acquired overall 90.4% of F1 accuracy.