• ETRI Journal
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• v.46 no.1
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• pp.48-58
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• 2024

This paper presents the development of language tutoring systems for nonnative speakers by leveraging advanced end-to-end automatic speech recognition (ASR) and proficiency evaluation. Given the frequent errors in non-native speech, high-performance spontaneous speech recognition must be applied. Our systems accurately evaluate pronunciation and speaking fluency and provide feedback on errors by relying on precise transcriptions. End-to-end ASR is implemented and enhanced by using diverse non-native speaker speech data for model training. For performance enhancement, we combine semisupervised and transfer learning techniques using labeled and unlabeled speech data. Automatic proficiency evaluation is performed by a model trained to maximize the statistical correlation between the fluency score manually determined by a human expert and a calculated fluency score. We developed an English tutoring system for Korean elementary students called EBS AI Peng-Talk and a Korean tutoring system for foreigners called KSI Korean AI Tutor. Both systems were deployed by South Korean government agencies.

• Annual Conference on Human and Language Technology
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• 1998.10c
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• pp.287-292
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• 1998

실용적인 격틀(Case frame) 정보를 말뭉치로부터 자동구축하기 위해서는 대량의 홀문장이 필요하다. 그리고 국어 문장 형식은 영어와 많은 차이점이 있다. 또한 기존의 격틀 구축 연구에서 전제했던 광범위한 학습 데이터와 언어학적 지식은 국어에 대해 현재 존재하지 않는다. 그러므로 본 연구는 그러한 문제점들을 밝히고 현실적인 접근 방법을 제시한다. 그리고 겹문장을 홑문장 형태의 문장들로 바꾸기 위한 알고리즘을 제시한다.

• Proceedings of the KSPS conference
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• 2000.03a
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• pp.103-104
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• 2000

As the role and status of English as an international language(EIL) have been widely discussed, studies need to be done to find out new issues and concerns related to teaching EIL In Korea. This presentation will review the changes in teaching English in Korea, teaching pronunciation, in particular, focusing on its goal and major instructional approaches. Suggestions will be made on developing a learner-centered communicative model for teaching English pronunciation and on training both Korean and foreign teachers of English to teach English pronunciation.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.31 no.2
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• pp.108-115
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• 2023

Alongside the rapid development of AI technology, which is stepping in to do tasks more quickly and less prone to error than humans can, the possibility for MI (multiple intelligence) development warrants equal attention and fervor. Recent theories of human intelligence point beyond standard cognitive capacity, IQ, and shine a light on the other unique potentials naturally endowed to humans. The applicability of MI to aviation is discussed, suggesting that it is important to consider ways to integrate MI development techniques into pilot education and training. Experiential starting points are discussed.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.43 no.4
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• pp.564-569
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• 1994

This paper presents an expert system for the fault section estimation and fault diagnosis in power transmission systems, which also has random event generation function for the purpose of operator training or educational experiment. The expert system is developed using an artificial intelligence language.

• 재활복지
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• v.21 no.4
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• pp.1-31
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• 2017

This study identities various types of subjective perception of hearing-impaired persons on sign language interpretation using Q-methodology in an attempt to explore ways for developing more useful sign language interpretation services for them. For this purpose, 35 statements are extracted based on literatures and in-depth interviews and Q-classification is conducted for 20 interviewees. The results identify a common perception on the provision of sign language interpreter to frequently used institutions of hearing-impaired persons. They also derive three distinguished types of perception: seeking specialization of sign language interpretation, seeking traditional sign language interpretation services and seeking expansion and improvement of sign language interpretation services. Based on the results, the study suggests residence of sign language interpreters in public facilities, improvements of qualification system and education and training courses, specialization by field and improvement of the practice of sign language interpretation services, provision of customized services to the elderly and use of sign language interpreters reflecting the needs of the users.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.63-70
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• 2022

At the present stage, the main directions of the professional position of a specialist in the implementation of English-language Education are to improve and spread the practice of learning languages throughout a person's life by involving information, communication and digital technologies in the educational process. Computerization of the educational process in Higher Education Institutions is considered as one of the first and most promising areas for improving the quality of education in Higher Education Institutions. The necessity of ensuring timely training and retraining of specialists of various profiles (in particular teachers) on the effective use of domestic and foreign electronic resources with the help of modern information technologies for the implementation of the professional position of a future specialist in a foreign-language environment is noted. The main goal of teaching a foreign language (the formation of students' communicative competence, which means mastering the language as a means of intercultural communication) is defined. The types of speech activity that cover the content of teaching a foreign language are highlighted. The main types of assessment in a foreign language are shown - current (non-classroom), thematic, semester, annual assessment and final state certification. The task of the teacher is drawn, which is to create conditions for practical language acquisition for each student, to choose such teaching methods by means of information technologies that would allow each student to show their activity, their creativity; to activate the cognitive activity of the student in the process of learning a foreign language.

• Hwankyungkyoyuk
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• v.18 no.1 s.26
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• pp.31-43
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• 2005

Despite of increasing concern over environmental protection and the so-called earth crisis, the situation regarding environment keeps deteriorating and is not getting well. Human-centered ways of thinking and scientific technologies proved not to be so effective in overcoming the crisis. The situation has brought about renewed interests in ecology. The purpose of this study is to develop and provide an exemplarity that could effectively deliver the environmental education throughout the middle school Korean language courses. To do this, the study begins with establishing a set of objectives that can be pursued in Korean language courses. Having the objectives in mind as a framework of reference, the study compares and analyzes Korean language textbooks that are made out of the 6th and 7th Curricular Revision. The study takes ecological viewpoints both in analyzing texts and in establishing the exemplarity. Environmental contents can play important roles in middle and high school Korean language courses. While training language skills, the instructors with textbooks written in ecological viewpoints can deliver messages emphasizing concerns over environments. This study also provides an exemplarity of textbooks reflecting ecological concerns.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.12
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• pp.7761-7762
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• 2013

Alternative strategies such as visual inspection of cervix with acetic acid, are real time, economical and easily implemented methods for cervical cancer screening. However, variable sensitivity and specificity have been observed in various community based studies. The possible reasons could include variation in man power training, light source used for visualization, and preparation of diluted (4-5%) acetic acid and its storage. A standardized protocol for training, teaching material (easy to understand in the local language) for trainees, supervision and reinforcement by intermittent and supplementary training to check the quality of their observation, a standard protocol for preparation dilute acetic acid and its storage and a standard good light source (equivalent to day light) are needed to minimize the variation in sensitivity and specificity of VIA in community settings.

• 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.