• Korean Journal of Childcare and Education
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• v.9 no.5
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• pp.251-276
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• 2013

This study was performed in order to examine the effects of one to one interactive picture book reading on infants' reading response and teachers' language teaching efficacy. A total of 50 2-year-olds from 8 child care centers in Incheon were divided into an experimental group and a control group. The interactive picture book reading activities were carried out once a week during 12 weeks. The infants in the experimental group read one-to-one with teachers, and their counterparts read the same book in a group. The change in teachers' language teaching efficacy was examined, and their subjective perception was evaluated through in-depth interview. As a result of this research, the infants in the experimental group showed significantly increased verbal response, compared to the control group, both in the total score and most sub-factors such as naming, responding, asking, demanding, spontaneous utterance, and decontextualized utterance. They also represented a significant rise, compared to the control group, in the total score of non-verbal response and factors like finger indicating, imitating, and accepting. Finally, the teachers who led the experimental group showed increased language teaching efficacy, and evaluated the effects of interactive picture book reading with infants very positively.

• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.13-23
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• 2022

In this study we leveraged a probing method to evaluate how a pre-trained L2 LSTM language model represents sentences with relative and coordinate clauses. The probing experiment employed adapted models based on the pre-trained L2 language models to trace the syntactic properties of sentence embedding vector representations. The dataset for probing was automatically generated using several templates related to different sentence structures. To classify the syntactic properties of sentences for each probing task, we measured the adaptation effects of the language models using syntactic priming. We performed linear mixed-effects model analyses to analyze the relation between adaptation effects in a complex statistical manner and reveal how the L2 language models represent syntactic features for English sentences. When the L2 language models were compared with the baseline L1 Gulordava language models, the analogous results were found for each probing task. In addition, it was confirmed that the L2 language models contain syntactic features of relative and coordinate clauses hierarchically in the sentence embedding representations.

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.551-561
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• 2013

The purpose of this study was firstly, to evaluate the contents of vocabulary game applications for young children's language learning. and secondly, to examine whether there is any differences between Korean and English word games in terms of the evaluation score. For this purpose, the word game applications in smart phone and tablet PC were analyzed, which included 30 Korean word games and another 30 English ones. The criteria to evaluate the contents were developed based on Children's Software Evaluation Instrument developed by CTR, the multimedia evaluation standard by Hee Sook Park, Young Joo Lee, and mobile contents evaluation standard by Soo Ui Choi. As a result, the educational value got the highest score whereas the design characteristics area got the lowest score in the whole evaluation analysis. And English word game applications mostly got higher score than Korean versions. The result of this study would suggest the way to evaluate educational game applications in use and to contribute to developing educational game contents aimed at young children's language learning.

• Journal of the Korea Society of Computer and Information
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• v.19 no.1
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• pp.65-76
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• 2014

In this paper, we propose a high-level programming language for packet processing called eFlowC and it supporting programming development environment. Based on the C language which is already familiar and easy to use to program developers, eFlowC maintains the similar syntax and semantics of C. Some features that are unnecessary for the packet processing has been removed from C, eFlowC is highly focused on performing packet data, database, string byte information checking and event processing. Design high-level programming languages and apply an existing language or compiler technology, language function and compilation process that is required for packet processing will be described. In order to use the DPIC device such as X11, we designed a virtual machine eFVM that takes into account the scalability and portability. We have evaluated the utility of the proposed language by experimenting a variety of real application programs with our programming environment such as compiler, simulator and debugger for eFVM. As there is little research that devoted to define the formats, meanings and functions of the packet processing language, this research is significant and expected to be a basis for the packet processing language.

• Journal of the Korea Society of Computer and Information
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• v.29 no.9
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• pp.69-77
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• 2024

This study evaluates the performance of second language acquisition models learning Korean and English using the GPT-2-Small model, analyzing the impact of various training conditions on performance. Four training conditions were used: monolingual learning, sequential learning, sequential-interleaved learning, and sequential-EWC learning. The model was trained using datasets from the National Institute of Korean Language and English from BabyLM Challenge, with performance measured through PPL and BLiMP metrics. Results showed that monolingual learning had the best performance with a PPL of 16.2 and BLiMP accuracy of 73.7%. In contrast, sequential-EWC learning had the highest PPL of 41.9 and the lowest BLiMP accuracy of 66.3%(p < 0.05). Monolingual learning proved most effective for optimizing model performance. The EWC regularization in sequential-EWC learning degraded performance by limiting weight updates, hindering new language learning. This research improves understanding of language modeling and contributes to cognitive similarity in AI language learning.

• Phonetics and Speech Sciences
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• v.16 no.1
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• pp.41-48
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• 2024

The significance of self-reported voice assessments concerning patients' chief complaints and quality of life has increased. Therefore, readability assessments of questionnaire items are essential. In this study, readability analyses were performed based on text grade and complexity, vocabulary frequency and grade, and lexical diversity of the 11 Korean versions of self-reported voice disorder questionnaires (KVHI, KAVI, KVQOL, K-SVHI, K-VAPP, K-VPPC, TVSQ, K-VDCQ, K-VFI, K-VTDS, and K-VoiSS). Additionally, a comparative readability assessment was conducted on the original versions of these questionnaires to discern the differences between their Korean counterparts and the questionnaires for children. Consequently, it was determined that voice disorder questionnaires could be used without difficulty for populations with lower literacy levels. Evaluators should consider subjects' reading levels when conducting assessments, and future developments and revisions should consider their reading difficulties.

• Journal of Digital Convergence
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• v.14 no.8
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• pp.363-370
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• 2016

This study aimed to evaluate correlation between self-evaluation factors and academic achievement of medical students according to introduction of explanation meeting in cadaveric dissection. The students explained cadaveric structure to health allied sciences students and discussed with each other. Just after the meeting, 102 medical students filled out a self-reported questionnaire on impact of self-evaluation factors and communication. The data were analyzed by frequency analysis, t-test and analysis of variance. Regardless of their gender, age, previous experience, the majority of the students gave high scores in all of self-evaluation factors. Among them, linkage with major and verbal communication factor were closely related to their academic achievement(p<0.05). The verbal and non-verbal communication factors also had a high correlation of 0.580(p<0.01). The explanation meeting provided a chance to learn further with positive attitude to medical students and motivated them academically.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.7
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• pp.2475-2482
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• 2010

This study aimed to evaluate correlation between self-evaluation factors(satisfaction, linkage with major, suitability of management, verbal and non-verbal communication) and academic achievement of medical students according to introduction of explanation meeting in cadaveric dissection. The study was carried out that medical students(n=57) explained cadaveric structure to health allied sciences students and discussed with each other. Just after the meeting,, medical students filled out a questionnaire on impact of self-evaluation factors and communication. We analyzed these factors and their scores using frequency analysis, T-test and analysis of variance. Regardless of their gender, age, previous experience, the majority of the students gave high scores in all of self-evaluation factors. Among them, only verbal communication factor was closely related to their academic achievement(p<0.05). The verbal and non-verbal communication also had a high correlation of 0.673(p<0.01). The explanation meeting provided chance to learn further with positive attitude to medical students and motivated them academically. Additionally, they realized that communication skill played a key role in transmitting medical knowledge to others. Therefore, introduction of communication-based explanation meeting would be very useful tool in improving educational efficiency.

• Proceedings of the Acoustical Society of Korea Conference
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• 1998.08a
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• pp.363-366
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• 1998

음성언어처리기술의 응용이 활발해져 감에 따라 각국에서는 이들 기술의 성능을 객관적으로 평가하기 위한 국제적인 협력활동이 활발하다. 본고에서는 이들 음성 DB 및 음성 입출력 평가법 관련 국제협력활동을 소개하고 국내에서도 이에 적극적으로 대응하기 위한 방안을 제안하고자 한다.

• The KIPS Transactions:PartC
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• v.8C no.4
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• pp.451-458
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• 2001

무단절 통신의 목표는 이동 사용자에게 단절 자유 서비스를 제공하는데 있으며, 이동 서비스의 단절은 활동적 핸드오프에 의해 발생된다. 이동 무선망에서 무단절 서비스에 대한 완전 보장을 요구하지 않으나 매우 빈번한 단절을 허용하지 않는 많은 사용자 응용들이 있다. 이 논문에서는 무단절 서비스에 대한 언어적 보장을 제공하는 퍼지 멀티캐스트 방법을 제안한다. 무단절 서비스에 대한 언어적 보장이 이동 사용자에 의해 명세되면, 제안하는 퍼지 멀티캐스트 방법은 이동 호스트의 이동 방향과 이동 속도를 예측하고, 퍼지 논리에 의해 그 이동 호스트를 위한 체이터 패텟은 모든 이웃 셀이 아닌 일부 이웃 셀에게 전송된다. 시뮬레이션 결과, 우리는 다음 사항들을 알 수 있었다. 첫째, 퍼지 멀티캐스트 방법은 정적 대역폭 사용을 상당히 감소시키고 또한 무단절 서비스에 대한 언어적 보장을 제공한다. 둘째, 무단절 서비스 확률은 이동 사용자의 언어적 QoS와 이동 호스트의 이동 방향에 의해 결정되고, 특히 이동 사용자의 언어적 QoS에 의해 많은 영향을 받는다. 그러므로 퍼지 멀티캐스트는 이동 사용자의 언어적 QoS 명세로 무단절 서비스에 대한 좋은 차등 서비스를 제공한다.