• Journal of Korean language education
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• v.29 no.1
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• pp.85-108
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• 2018

This study pointed out the reality that many novice Korean language teachers who lack rater training are scoring the learners' writing skill. The study performed and analyzed a case where pre-service teachers were educated in order to explore the possibility of promoting rater training in a Korean language teacher training course. The pre-service teachers majoring in Korean language education at the graduate school scored TOPIK compositions and were provided feedback by the FACETS program, which were further discussed at the rater meeting. In three scoring processes, the raters scored with conscious of own rating patterns and showed positive change or over correction due to excessive consciousness. Consequentially, ongoing training can improve rating ability, and considering the fact that professional rater training is hard to progress, the method composed of FACETS analysis and rater training revealed positive effects. On the other hand, the rater training including native Korean and non-native(Chinese) speakers together showed no significant difference by mother tongue but by individual difference. This can be interpreted as a positive implication to the rating reliability of non-native speakers possessing advanced Korean language abilities. However, this must be supplemented through extended research.

• Journal of Korean language education
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• v.29 no.2
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• pp.101-123
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• 2018

The purpose of this paper is to develop a training program for overseas Korean language teachers focus on preservice teacher. This thesis based on the 2017 Korean Language (prospective) Teacher Overseas Dispatch and Practical Training Assistance Project (Almaty, Kazakhstan region). The present task established prospective teachers, career teachers, and local teachers as the targets of each assignment. We focused on developing a program that could match each of these characteristics. For prospective teachers, the program was designed and conducted with the goal of "improving real expertise through practical training," whereas for career teachers the program was developed with the goal of "improving leadership" and "retraining teachers" by focusing on their abilities as middle managers to build and maintain foreign and domestic networks. For local teachers, the goal was to provide "retraining as Korean language teacher certification". The limitations of those unable to attend domestic meetings were alleviated through training, workshops, and meetings, and a program was developed for real education practical training. For prospective teachers and career teachers in particular, the program was designed to center on a system of collaboration in which classes based on international Project Based Learning(iPBL) were conducted, and groups prepared practical training and practice modules.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.2
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• pp.45-50
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• 2020

A Language model with neural networks commonly trained with likelihood loss. Such that the model can learn the sequence of human text. State-of-the-art results achieved in various language generation tasks, e.g., text summarization, dialogue response generation, and text generation, by utilizing the language model's next token output probabilities. Monotonous and boring outputs are a well-known problem of this model, yet only a few solutions proposed to address this problem. Several decoding techniques proposed to suppress repetitive tokens. Unlikelihood training approached this problem by penalizing candidate tokens probabilities if the tokens already seen in previous steps. While the method successfully showed a less repetitive generated token, the method has a large memory consumption because of the training need a big vocabulary size. We effectively reduced memory footprint by encoding words as sequences of subword units. Finally, we report competitive results with token level unlikelihood training in several automatic evaluations compared to the previous work.

• Journal of Korean language education
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• v.28 no.2
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• pp.61-88
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• 2017

This paper seeks to use case studies of training programs for teachers at US K-12 schools to provide a model for developing training programs in South Korea for Korean language teachers overseas, and to consider directions for the future. Toward the end, we review examples of professional development programs for Korean language instructors at US K-12 schools that we have developed and conducted between 2011 and 2016. By comparing these programs with the results of post-program assessments, we explore ways of improving those programs. To respect teachers' wishes, these training programs have attempted to strike a balance between cultural and linguistic education while focusing more on workshops, debates, and field trips than on theoretical lectures. The difficulty of operating such programs is the difference in the teachers' individual circumstances and educational context, which necessitates giving teachers an opportunity to discuss the content of the program and find ways to apply it to their own circumstances. To resolve such difficulties, the training programs that we develop should avoid predetermined curriculums and should not be focused on simple drills or the trainer. Instead, these programs should take the approach of proactively incorporating contents desired by the participating teachers by starting with the situations, needs, and tasks of each of those teachers.

• Phonetics and Speech Sciences
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• v.2 no.3
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• pp.29-36
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• 2010

The purposes of this study are (1) to see if language transfer effect is found in Korean speakers' pronunciation of English stops and to correct them and (2) to investigate the effectiveness of mimicry training and Speech Analyzer training on subjects' pronunciation of English stops. For these purposes, 20 Korean speakers' VOT values of English stops were measured using Speech Analyzer and their post-training production was compared with their pre-training production. The result shows that Korean speakers have no difficulty in correcting pronunciation errors of English voiceless stops and voiced stops and such a result indicates that language transfer effect is not noticed as expected. In addition, the result of pronunciation training shows that the training using Speech Analyzer is more effective than mimicry training.

• Journal of Korean language education
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• v.29 no.4
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• pp.169-199
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• 2018

The purpose of this study is to examine Korean teachers' needs in in-service teacher training and variables related to their needs. This study was conducted with teachers from Korean language centers in Korean universities. The following three research questions were investigated: (1) What are the teachers' experiences of Korean language teaching and in-service teacher training? (2) What are the teachers' needs and expectations for the content and components of in-service education programs? Are there any disparity between teachers' needs and institutional needs? (3) What are the variables to be considered in designing an effective in-service teacher education program? In order to answer the research questions, a survey was developed and distributed to university Korean language institutions and Korean language teachers. The results indicated that both institutions and teachers are highly aware of the importance of the need for in-service teacher training. The results also suggested that a more teacher-centered, bottom-up approach should be implemented for successful outcomes of teacher education programs. Based on the results, this study offers a summary of the need for in-service teacher training and variables (both individual teacher variables and environmental variables) to be considered in designing the content and components of a teacher education program.

• English Language & Literature Teaching
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• v.13 no.2
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• pp.129-153
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• 2007

When English language teachers are deciding on their priorities for teaching pronunciation, it is imperative to know what kind of differences and errors are most likely to interfere with communication, and what special problems particular first-language speakers will have with English pronunciation. In other words, phoneme discrimination skill is an integral part of speech processing for the EFL learners' learning to converse in English. Training using sound visualization technique can be effective in improving second language learners' perceptions and productions of segmental and suprasegmental speech contrasts. This study assessed the efficacy of a pronunciation training that provided visual feedback for EFL learners acquiring pitch and durational contrasts to produce and perceive English phonemic distinctions. The subjects' ability to produce and to perceive novel English words was tested in two contexts before and after training; words in isolation and words in sentences. In comparison with an untrained control group, trainees showed improved perceptual and productive performance, transferred their knowledge to new contexts, and maintained their improvement three months after training. These findings support the feasibility of learner-centered programs using sound visualization technique for English language pronunciation instruction.

• Journal of The Korean Association of Information Education
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• v.23 no.5
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• pp.491-497
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• 2019

As the world develops into a global society, more and more people want to speak foreign languages fluently. To speak fluently, you must have sufficient training in speaking, which requires a dialogue partner. Recently, it is expected that the development of voice recognition information technology will enable the development of a system for conducting foreign language speaking training without human beings from the other party. In this study, a test bed system for foreign language speaking training was developed and applied to elementary school classes. Elementary school students were asked to present their English conversation situation and conduct speaking training. Then, satisfaction with the system and potential for continuous utilization were surveyed. The system developed in this study has been identified as helpful for the training of learning to speak a foreign language.

• PNF and Movement
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• v.8 no.3
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• pp.1-8
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• 2010

Purpose : The purpose of this study was to investigate the effects of virtual exercise training programs on the improvement of balance in the elderly women. Methods: The subjects were fifteen female citizens, 67 years of age or older living in G city, the subjects were randomly divided into groups; Virtual exercise training group(n=9), control group (n=6). After treatment measured balance by Berg Balance scale test and One-leg stand test during virtual exercise training program at pre-intervention and post-intervention. Results : The results of this study were as follows : Virtual Exercise Training Program (Wii fit) after applying the Berg balance test scores and One-Legged Stance Test, the evaluation results showed significant results(p<05). Conclusion : Virtual exercise training programs can be used to improve the balance of the elderly, as it has been shown to increase Berg balance test and one-leg stand results conducted after virtual training programs. Virtual Exercise Programs(Wii fit) were applied to demonstrate the effecting the balance of the elderly to promote more research on the impact of the ADL survey.

• Journal of Internet Computing and Services
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• v.25 no.1
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• pp.57-67
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• 2024

This research investigates training methods for large language models to accurately identify sentiments and comprehend information about increasing and decreasing fluctuations in the financial domain. The main goal is to identify suitable datasets that enable these models to effectively understand expressions related to financial increases and decreases. For this purpose, we selected sentences from Wall Street Journal that included relevant financial terms and sentences generated by GPT-3.5-turbo-1106 for post-training. We assessed the impact of these datasets on language model performance using Financial PhraseBank, a benchmark dataset for financial sentiment analysis. Our findings demonstrate that post-training FinBERT, a model specialized in finance, outperformed the similarly post-trained BERT, a general domain model. Moreover, post-training with actual financial news proved to be more effective than using generated sentences, though in scenarios requiring higher generalization, models trained on generated sentences performed better. This suggests that aligning the model's domain with the domain of the area intended for improvement and choosing the right dataset are crucial for enhancing a language model's understanding and sentiment prediction accuracy. These results offer a methodology for optimizing language model performance in financial sentiment analysis tasks and suggest future research directions for more nuanced language understanding and sentiment analysis in finance. This research provides valuable insights not only for the financial sector but also for language model training across various domains.