• The Journal of the Korea Contents Association
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• v.15 no.11
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• pp.672-679
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• 2015

The early stage of Korean language education was to understand grammar. However, recent Korean language education aims to improve expressive ability for smooth communication. Hence, educational drama for education has gained attention as one of the effective ways of improving communication skills. Educational drama provides an actual conversational situation in which one can use appropriate words and grammar depending on the situation. Non-verbal expression such as body language and facial expression could be picked up so one also improves one's communicative abilities naturally. This means that educational drama shares Korean language education's goal of improving communicative ability. Moreover, the student becomes the core of the activity and finds solutions through cooperation with others, and this also helps improve social skills and self-esteem. This thesis covers methods of having interviews, re-writing texts to scripts, writing up post-script by imagining the following text, role-playing, and improving expressive ability by debating educational theatrical techniques. To make these activities successful, good quality VOD and learning materials shall be developed and used. Also, efficient training programs shall be created so that teachers make use of what they learn and improve their teaching skills.

• 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 Convergence on Culture Technology
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• v.10 no.4
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• pp.201-207
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• 2024

In this study, we investigated the current status of written discourse mediation in a more general and in-depth manner, including the training completion experience and knowledge of written discourse mediation among Speech-Language Pathologists in Korea, and the Speech-Language Pathologists' perceptions of written discourse mediation. We wanted to look into the requirements. Research results were derived through a questionnaire answered by 110 Speech-Language Pathologists. As a result, although most Speech-Language Pathologists learned about written discourse intervention in the curriculum, their application of written discourse intervention in clinical settings is insufficient and they have difficulty with written discourse intervention due to lack of systematic and professional knowledge of this intervention. I could tell that I was feeling it. Looking at the status of written discourse intervention, only 46.4% of the Speech-Language Pathologists who responded in clinical settings showed that they had experience with written discourse intervention. In other words, it was analyzed that 53.6% of respondents had no experience with writing discourse mediation. As a result of Speech-Language Pathologists' perception and demand for written discourse intervention, 76.4% of SpeechLanguage Pathologists responded that they thought written discourse intervention was an important area of speech therapy. In addition, 62.8% of respondents responded that a curriculum for discourse mediation is necessary, more than 90% said that continuous research on written discourse mediation is necessary, and 89.1% thought that the development of textbooks and teaching aids was necessary.This study is significant in that it investigated the experiences and perceptions of Speech-Language Pathologists in written discourse intervention and analyzed the results in that it provided direction on how education and various processes related to written discourse intervention should be conducted.

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.322-331
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• 2013

The purpose of the present study was to develop a convergent education contents for dementia prevention, operating on the web network applying modern information technology(IT). At the preparation stage, local and worldwide literatures related to dementia were analyzed followed by surveying industry demands, based on which the program was designed and developed. In the following enhancement stage, the program was modified as much as possible by advices obtained from experts in various fields. Development results of the present program are summarized as follows. Firstly, 645 intellect development model to prevent dementia was established through peer review and verification of convergent education theories by expert groups. This model was named as "Garisani" meaning "cognition capable of judging objects" in the Korean language. Secondly, 'Find a way' and 'Connect a line' modules were developed in the numeric field as well as 'Identify a letter(I, II)' modules, in the language field for web-based left brain training program. Thirdly, 'Find my car' and 'Vision training' modules in the attention field and 'Object inference' and 'Compare pictures' modules in the cognition field were developed for web-based right brain training program. Fourth, 'Pentomino' and 'BQmaze'(Brain Quotient and maze) modules in the space perception field and 'Visual training' in the memory field were developed for web-based left and right brains training. Fifth, all results were integrated leading to a 52 week Garisani convergent education program for dementia prevention.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.3
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• pp.1-12
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• 2024

In this paper, we fine-tuned KoAlpaca, a large-scale Korean language model, and implemented a blog text generation system utilizing it. Blogs on social media platforms are widely used as a marketing tool for businesses. We constructed training data of positive reviews through emotion analysis and refinement of collected sponsored blog texts and applied QLoRA for the lightweight training of KoAlpaca. QLoRA is a fine-tuning approach that significantly reduces the memory usage required for training, with experiments in an environment with a parameter size of 12.8B showing up to a 58.8% decrease in memory usage compared to LoRA. To evaluate the generative performance of the fine-tuned model, texts generated from 100 inputs not included in the training data produced on average more than twice the number of words compared to the pre-trained model, with texts of positive sentiment also appearing more than twice as often. In a survey conducted for qualitative evaluation of generative performance, responses indicated that the fine-tuned model's generated outputs were more relevant to the given topics on average 77.5% of the time. This demonstrates that the positive review generation language model for sponsored content in this paper can enhance the efficiency of time management for content creation and ensure consistent marketing effects. However, to reduce the generation of content that deviates from the category of positive reviews due to elements of the pre-trained model, we plan to proceed with fine-tuning using the augmentation of training data.

• Journal of Intelligence and Information Systems
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• v.28 no.2
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• pp.191-206
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• 2022

Recently, it is a de-facto approach to utilize a pre-trained language model(PLM) to achieve the state-of-the-art performance for various natural language tasks(called downstream tasks) such as sentiment analysis and question answering. However, similar to any other machine learning method, PLM tends to depend on the data distribution seen during the training phase and shows worse performance on the unseen (Out-of-Distribution) domain. Due to the aforementioned reason, there have been many efforts to develop domain-specified PLM for various fields such as medical and legal industries. In this paper, we discuss the training of a finance domain-specified PLM for the Korean language and its applications. Our finance domain-specified PLM, KB-BERT, is trained on a carefully curated financial corpus that includes domain-specific documents such as financial reports. We provide extensive performance evaluation results on three natural language tasks, topic classification, sentiment analysis, and question answering. Compared to the state-of-the-art Korean PLM models such as KoELECTRA and KLUE-RoBERTa, KB-BERT shows comparable performance on general datasets based on common corpora like Wikipedia and news articles. Moreover, KB-BERT outperforms compared models on finance domain datasets that require finance-specific knowledge to solve given problems.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.8
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• pp.66-74
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• 2014

Recently a variety of study of Korean parsing system is carried out by many software engineers and linguists. The parsing system mainly uses the method of machine learning or symbol processing paradigm. But the parsing system using machine learning has long training time because the data of Korean sentence is very big. And the system shows the limited recognition rate because the data has self error. In this thesis we design system using feature module which can reduce training time and analyze the recognized rate each the number of training sentences and repetition times. The designed system uses the separated modules and sorted table for binary search. We use the refined 36,090 sentences which is extracted by Sejong Corpus. The training time is decreased about three hours and the comparison of recognized rate is the highest as 84.54% when 10,000 sentences is trained 50 times. When all training sentence(32,481) is trained 10 times, the recognition rate is 82.99%. As a result it is more efficient that the system is used the refined data and is repeated the training until it became the steady state.

• Korean Journal of Child Studies
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• v.25 no.2
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• pp.41-57
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• 2004

Subjects were 88 two-year-old-toddlers(25-36 months of age) and 32 teachers in 13 childcare centers; they were randomly assigned to experimental or control groups. The researcher observed teacher-toddler interaction in the picturebook reading situation. Analysis of patterns of teachers' verbal behavior and coding of toddlers' verbal and nonverbal behaviors were based on Senechal, et al.(1995) and Whitehurst, et al.(1988), respectively. In comparison with the control group, toddlers of the experimental group showed significant differences in verbal behavior; they acquired nouns occurring in the picturebooks and more expressive and comprehensive language. After training intervention, teachers of the experimental group showed changes in quality and quantity of verbal behavior.

• Proceedings of the Korean Society for Cognitive Science Conference
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• 2005.05a
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• pp.163-167
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• 2005

Current theories of cross-language speech perception claim that patterns of perceptual assimilation of non-native segments to native categories predict relative difficulties in learning to perceive (and produce) non-native phones. Perceptual assimilation patterns by Japanese listeners of the three-way voicing distinction in Korean syllable-initial obstruent consonants were assessed directly. According to Speech Learning Model (SLM) and Perceptual Assimilation Model (PAM), the resulting perceptual assimilation pattern predicts relative difficulty in discrimination between lenis and aspirated consonants, and relative ease in the discrimination of fortis. This study compared the effects of two different training conditions on Japanese adults’perceptual categorization of Korean three-way distinction. In one condition, participants were trained to discriminate lenis and aspirated consonants which were predicted to be problematic, whereas in another condition participants were trained with all three classes of 'learnability' did not seem to depend lawfully on the perceived cross-language similarity of Korean and Japanese consonants.

• Annual Conference on Human and Language Technology
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• 1999.10d
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• pp.151-156
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• 1999

텍스트로부터 명사를 추출하기 위해서 다양한 기법이 이용될 수 있는데, 본 논문에서는 학습 데이터를 이용하여 생성한 규칙과 사전을 이용하는 단순한 모델을 통해 명사를 효과적으로 추출할 수 있는 기법에 대하여 기술한다. 사용한 모델은 기본적으로 명사, 어미, 술어 사전을 사용하고 있으며 명사 추정은 학습 데이터를 통해 생성한 규칙을 통해 이루어진다. 제안한 방법은 복잡한 언어학적 분석 없이 명사 추정이 가능하며, 복합명사 사전을 이용하지 않고 복합 명사를 추정할 수 있는 장점을 지니고 있다. 또한, 명사추정의 주 요소인 규칙이나 사전 등록어의 추가, 갱신 등이 용이하며, 필요한 경우에는 특정 분야의 텍스트 분석을 위한 새로운 사전의 추가가 가능하다. 제안한 방법을 이용해 "제1회 형태소 분석기 및 품사 태거 평가대회(MATEC '99')"의 명사 추출기 분야에 참가하였으며, 본 논문에서는 성능평가 결과를 제시하고 평가결과에 대한 분석을 기술하고 있다. 또한, 현재의 평가기준 중에서 적합하지 않은 부분을 규정하고 이를 기준으로 삼아 자체적으로 재평가한 평가결과를 제시하였다.