• Journal of Digital Contents Society
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• v.14 no.2
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• pp.255-262
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• 2013

Useful applications for English education enable immediate conversion of mobile devices into remote wireless systems for classroom computers. Once the free software has been installed in the main computers in the classroom, using powerpoint, students can operate the computers through their mobile devices by installing Air mouse on them. By using this, the students can draw or write on the "board" to manipulate the educational resources from where they are/from their seats. The study of English language encompasses not only academic study but also language training. Until recently, the issue of the English language learning has been ridden with certain problems-instead of being a tool that facilitates communication, its main purpose has been for school grades, TOEIC, and TOEFL. This study suggests English language learning methodology using various applications such as mobile, VOD English language content, and movie scripts in implementing easy and fun English language learning activities that can be studied regularly. This is operationalized by setting a specific limit on learning and by using various media such as podcast, Apps, to increase interest, motivation, and self-directed learning in a passive learning environment.

• The Journal of the Korea Contents Association
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• v.17 no.6
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• pp.527-539
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• 2017

This case study examines the experiences of an African American student's successful second language acquisition in Korea. There is an increasing number of multicultural families in Korea; but few research on African American students' second language learning. In the past, some American researchers have analyzed African American students as academic underachievers for learning and there is a scarcity of research on African American students' successfully acquiring a second language. With this qualitative research design, the researchers interviewed, and observed an African American girl named Mary. The researchers also interviewed Mary's mother, teacher, and peers about Mary's Korean language development. The results of this study revealed Mary's determined efforts to become a fluent Korean speaker with support from family, community and friends. Mary underwent unique social and systematic supports for her language development. This paper concludes with the educational implication for multicultural language learners in Korea and the possibility to diminish the common stereotypes of African Americans as underachievers.

• Proceedings of the Korea Multimedia Society Conference
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• 2004.05a
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• pp.709-713
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• 2004

This Paper Presents an Internet-based Java self-learning educational system which consists of a management system named Java Web Player (JWP) and creative multimedia contents fer Java language. The JWP Is a Java application program free from security problems by the Java Web Start technologies that supports an Integrated learning environment including three Important learning Procedures: Java concept learning Process, Programming practice process and assessment process. This JWP enables the learners to achieve efficient and Interesting self-learning since the learning process is designed to enhance the multimedia capabilities on the basis of various educational technologies. On-line voice presentation and its related texts together with moving images are synchronized for efficiently conveying creative contents to learners. Furthermore, a simple and useful compiler is included in the JWP fur providing user-friendly language practice environment enabling such as coding, editing, executing and debugging Java source files on the Web. The assessment process with various items helps the learners not only to increase their academic capability but also to appreciate their current degree of understanding. Finally, simple multiple choices are given suddenly to the learners while they are studying through the JWP and the test results are displayed on the message box. The proposed system can be used for an efficient tool for learning system on the Web.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.500-501
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• 2019

In the $4^{th}$ generation industry, self-directed learning is very important than Injection learning. Therefore many educational institutions has developed method of self-directed learning. In order for self-directed learning to be effective, it is more important for faculty to manage the overall process of learning rather than being directly involved in the student's academic work. Therefore, learning counseling is an important way to effectively carry out self-directed learning. In this paper, we analyze the status of open data for natural language processing that can implement the learning consultation contents so that various applications can be done through natural language processing.

• Fourth Industrial Review
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• v.3 no.1
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• pp.21-32
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• 2023

Purpose - This study focused on the development of a Korean language curriculum to solve the problem of Korean literacy among students from multicultural families. Research design, data, and methodology - A case study was conducted on Sim(2018)'s learner-centered learning model to develop an educational plan including AI technology, which will help students from multicultural families to effectively improve their communication and learning skills by improving their reading, writing, and speaking of Korean. Result - Total of six educational plans using AI technology (Microsoft PowerPoint's drawing function, AutoDraw, and Google's Four-cut cartoons) were developed. Conclusion - The curriculum using AI is expected to greatly contribute to the recovery of language learning ability and confidence in studies necessary to improve learners' language education.

• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.217-221
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• 2023

최근 몇 년 동안, Large Language Model(LLM)의 발전은 인공 지능 연구 분야에서 주요 도약을 이끌어 왔다. 이러한 모델들은 복잡한 자연어처리 작업에서 뛰어난 성능을 보이고 있다. 특히 Human Alignment를 위해 Supervised Fine Tuning, Reinforcement Learning, Chain-of-Hindsight 등을 적용한 언어모델이 관심 받고 있다. 본 논문에서는 위에 언급한 3가지 지시학습 방법인 Supervised Fine Tuning, Reinforcement Learning, Chain-of-Hindsight 를 Llama, OPT 모델에 적용하여 성능을 측정 및 비교한다.

• 대한상한금궤의학회지
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• v.14 no.1
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• pp.41-50
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• 2022

Objective : The purpose of this study is to explore the most suitable machine learning model algorithm for Shanghanlun diagnostic system classification using natural language processing (NLP). Methods : A total of 201 data items were collected from 『Shanghanlun』 and 『Clinical Shanghanlun』, 'Taeyangbyeong-gyeolhyung' and 'Eumyangyeokchahunobokbyeong' were excluded to prevent oversampling or undersampling. Data were pretreated using a twitter Korean tokenizer and trained by logistic regression, ridge regression, lasso regression, naive bayes classifier, decision tree, and random forest algorithms. The accuracy of the models were compared. Results : As a result of machine learning, ridge regression and naive Bayes classifier showed an accuracy of 0.843, logistic regression and random forest showed an accuracy of 0.804, and decision tree showed an accuracy of 0.745, while lasso regression showed an accuracy of 0.608. Conclusions : Ridge regression and naive Bayes classifier are suitable NLP machine learning models for the Shanghanlun diagnostic system classification.

• International Journal of Computer Science & Network Security
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• v.24 no.3
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• pp.160-172
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• 2024

The characteristic aspects of learning a foreign language require special resources and tools for online learning. Criteria for choosing educational platforms depend on key elements of an academic subject area. Microsoft Teams (hereafter, MT) educational platform is competitive one because it meets most of the needs that arise during the formation of a secondary linguistic persona. Due to the large number of corporate programs, there are a successful acquisition of language skills and the implementation of all types of oral activities of students. A significant MT advantage is the constant analysis and monitoring of the platform of participants' needs in the educational process by developers. The article highlights MT advantages and disadvantages. The attention is drawn to individual programs, which, in the authors' opinion, are the most successful to learn writing, reading, speaking, listening, as well as organize classes that meet needs of modern foreign students.

• Journal of Information Processing Systems
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• v.18 no.4
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• pp.535-548
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• 2022

Using a rich resource language to classify sentiments in a language with few resources is a popular subject of research in natural language processing. Burmese is a low-resource language. In light of the scarcity of labeled training data for sentiment classification in Burmese, in this study, we propose a method of transfer learning for sentiment analysis of a language that uses the feature transfer technique on sentiments in English. This method generates a cross-language word-embedding representation of Burmese vocabulary to map Burmese text to the semantic space of English text. A model to classify sentiments in English is then pre-trained using a convolutional neural network and an attention mechanism, where the network shares the model for sentiment analysis of English. The parameters of the network layer are used to learn the cross-language features of the sentiments, which are then transferred to the model to classify sentiments in Burmese. Finally, the model was tuned using the labeled Burmese data. The results of the experiments show that the proposed method can significantly improve the classification of sentiments in Burmese compared to a model trained using only a Burmese corpus.

• Annual Conference on Human and Language Technology
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• 2021.10a
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• pp.311-315
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• 2021

근래의 자연어처리 분야에서는 잘 만들어진 도구(Library)를 이용하여 생산성 높은 개발과 연구가 활발하게 이뤄지고 있다. 이 중에 대다수는 깊은 학습(Deep-Learning, 딥러닝) 기반인데, 이런 모델들은 학습 속도가 느리고, 비용이 비싸고, 사용(Run-Time) 속도도 느리다. 이뿐만 아니라 라벨(Label)의 가짓수가 굉장히 많거나, 라벨의 구성이 단어마다 달라질 수 있는 의미분별(동형이의어, 다의어 번호 태깅) 분야에서 딥러닝은 굉장히 비효율적인 문제가 있다. 이런 문제들은 오히려 기존의 얕은 학습(Shallow-Learning)기반 모델에서는 없던 것들이지만, 최근의 연구경향에서 딥러닝 비중이 급격히 증가하면서, 멀티스레딩 같은 고급 기능들을 지원하는 얕은 학습 기반 언어모델이 새로이 개발되지 않고 있었다. 본 논문에서는 학습과 태깅 모두에서 멀티스레딩을 지원하고, 딥러닝에서 연구된 드롭아웃 기법이 구현된 자연어처리 도구인 혼합 자질 가변 표지기 ManiFL(Manifold Feature Labelling : ManiFL)을 소개한다. 본 논문은 실험을 통해서 ManiFL로 다의어태깅이 가능함을 보여주고, 딥러닝과 CRFsuite에서 높은 성능을 보여주는 개체명 인식에서도 비교할만한 성능이 나옴을 보였다.