• 한국인지과학회:학술대회논문집
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• 한국인지과학회 2010년도 춘계학술대회
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• pp.60-65
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• 2010

Language learning involves linguistic environments around the learner. So the variation in training input to which the learner is exposed has been linked to their language learning. We explore how linguistic experiences can cause differences in learning linguistic structural features, as investigate in a probabilistic graphical model. We manipulate the amounts of training input, composed of natural linguistic data from animation videos for children, from holistic (one-word expression) to compositional (two- to six-word one) gradually. The recognition and generation of sentences are a "probabilistic" constraint satisfaction process which is based on massively parallel DNA chemistry. Random sentence generation tasks succeed when networks begin with limited sentential lengths and vocabulary sizes and gradually expand with larger ones, like children's cognitive development in learning. This model supports the suggestion that variations in early linguistic environments with developmental steps may be useful for facilitating language acquisition.

• 한국영어학회지:영어학
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• 제2권1호
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• pp.1-21
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• 2002

In this paper, a persistent L1 influence on L2 argument structure acquisition is observed in terms of complement and adjunct PPs. Since the distinction between these two PPs in L1 seems not as sharp as in L2, overgeneralization is anticipated in the L2 acquisition due to L1 transfer. Result of an experimental study shows that Korean learners of English do not successfully acquire L2 verb meanings as to which locative PP is obligatory and which is not. Generally, learners transfer the L1 properties when asked to judge grammaticality. Some possible source of constraints in L2 acquisition, such as input frequency and noticing ability is proposed as possible explanations of data. Finally, pedagogical implications in language classroom for vocabulary acquisition are discussed.

• 아동학회지
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• 제10권2호
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• pp.19-31
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• 1989

The purpose of this research was to examine the concurrent validity of the Nalongyee children's achievement motivation test by studying its relationship to a children's school readiness test. The subjects were 335 preschool children (171 urban and 164 rural) selected from 8 public and 7 private kindergartens located in two metropolitan areas (Seoul and Pusan) and 5 rural counties in Kyungsang Nam Do. Instruments included the Nalongyee Children's Achievement Motivation Test by the author and the School Readiness "Lest by Unhai Rhee. Data were analyzed by Pearson r and Z-test. Readiness was positively related to the total score and sub-areas of achievement motivation (.10-.43). Sub-areas of the achievement motivation test were related to each of the 4 factors of the readiness test. The correlations ranged from .00-.35 with the personal-social response factor, .00-.26 with the associative vocabulary factor, .05-.31 with the number concept factor, and .03-.37 with the perception factor. Significant differences in correlations were found between urban and rural areas for self-confidence, interest in learning, interest in kindergarten and physical competence.

• 아동학회지
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• 제19권1호
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• pp.169-182
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• 1998

This study investigated the verbal responses of kindergarten children to fantasy and realistic picture books. The subjects were 60 five-year-old children divided into small groups of 4 children each. Each group was read four picture books of which two were fantasy and two were realistic. Transcripts of the children's responses were analyzed for number, content, and type of verbal response. Mean scores and standard deviations were measured and the data were analyzed by repeated one-way ANOVA. Results showed that the children showed (1) more verbal responses to the fantasy than to the realistic picture books. (2) They gave more verbal responses to fantasy picture books than to realistic books in terms of character, scene, event, and vocabulary. They also gave more verbal responses to fantasy picture books than to realistic books in terms of informative, heuristic, and imaginative types.

• 아동학회지
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• 제26권4호
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• pp.189-207
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• 2005

This study examined the effects of picture storybook making activities with computer plays on children's storytelling ability and creativity. Seventy 5-year-old children from two day-care classes participated in this eight-week program. The experimental class used the computer software of 'Stanley's Sticker Stories.' The comparison class used paper and pencil. Data analysis was implemented by ANCOVA and t-test. Significant differences were found between the experimental and comparison groups in story telling ability by story structure, imagination, vocabulary, sentence structure, and creativity showing that picture storybook making activities with the computer was more effective than traditional picture storybook making activities.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 하계학술대회 논문집 B
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• pp.1483-1485
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• 2004

Photovoltaic(PV) technology is a popular part of building vocabulary. It can be used today on both existing and new buildings. Its use in the building envelope is very varied and open ways, such as roofing materials, facades, skylights and shading systems, for creative designers. So, to activate this systems demand appropriate sources of information, performance data of elements and design tools offering architects and designer. Therefore this paper describe application elements for BIPV system and then predict improvement in the generated electric power performance of balcony BIPV system.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 B
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• pp.836-839
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• 2003

In this paper, we implement a language model by a bigram and evaluate proper smoothing technique for unit of low perplexity. Word, morpheme, clause units are widely used as a language processing unit of the language model. We propose VCCV units which have more small vocabulary than morpheme and clauses units. We compare the VCCV units with the clause and the morpheme units using the perplexity. The most common metric for evaluating a language model is the probability that the model assigns the derivative measures of perplexity. Smoothing used to estimate probabilities when there are insufficient data to estimate probabilities accurately. In this paper, we constructed the N-grams of the VCCV units with low perplexity and tested the language model using Katz, Witten-Bell, absolute, modified Kneser-Ney smoothing and so on. In the experiment results, the modified Kneser-Ney smoothing is tested proper smoothing technique for VCCV units.

• 대한음성학회지:말소리
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• 제61호
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• pp.101-111
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• 2007

A modified speech recogniser have been proposed for automatic capitalisation generation to improve the readability of English speech recognition output. In this modified speech recogniser, every word in its vocabulary is duplicated: once in a de-caplitalised form and again in the capitalised forms. In addition its language model is re-trained on mixed case texts. In order to evaluate the performance of the proposed system, experiments of automatic capitalisation generation were performed for 3 hours of Broadcast News(BN) test data using the modified HTK BN transcription system. The proposed system produced an F-measure of 0.7317 for automatic capitalisation generation with an SER of 48.55, a precision of 0.7736 and a recall of 0.6942.

• Educational Technology International
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• 제21권2호
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• pp.155-191
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• 2020

The aim of this study was to examine the trends (e.g., the distribution of the studies by year, country, research methods, and participants' education level) and fundamental findings [e.g., interaction in Virtual Reality (VR) environments, educational content through VR and Augmented Reality (AR) technologies, learning environment in AR, etc.] regarding immersive learning technologies such as VR and AR in English Language Teaching (ELT) between 2010 and 2019. Employing a systematic review research methodology, data was gathered from 59 academic articles published in the following databases: EBSCOhost, ERIC, Web of Science, and Taylor & Francis. The studies were analyzed using a content analysis approach, and findings demonstrated that immersive learning technologies in ELT came to prominence in 2017. Mixed methods research was the most widely employed research method. The most studied language skill was vocabulary for AR and speaking for VR. The results also revealed advantages and challenges with regards to the use of immersive learning technologies in ELT. Further analysis illustrated the findings related to characteristics of immersive learning technologies in ELT. Based on this review, research and design implications for researchers and practitioners are presented.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2023년도 추계학술발표대회
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• pp.21-22
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• 2023

영어 공인 시험에서 영어 어휘는 가장 중요한 요소 중 하나이다. 그러나 기존 영어 어휘 학습 시스템은 단순히 어휘 교재의 콘텐츠를 디지털화한 것에 그치고 있다. 영어 어휘 학습에서 동의어에 대한 학습은 언어 능력을 향상시키고 다양한 상황에서 효과적으로 의사소통할 수 있는 능력 향상에 도움이 된다. 본 연구에서는 학습자들이 영어 어휘 학습을 효과적으로 할 수 있도록 동의어 및 반의어를 활용할 수 있는 학습 시스템을 제안한다. 본 시스템은 동의어와 반의어에 대한 정보가 필요한 영어 어휘를 입력으로 받아 생성형 AI에서 동의어 및 반의어에 대한 정보를 생성한 후에 반환하는 기능을 수행한다. 본 시스템은 학습자들이 어휘 평가에서 오답으로 답한 어휘에 대해 동의어 및 반의어에 대한 추가적인 어휘와 예문을 제공하여 영어 어휘 학습의 효율성을 높일 수 있을 것이다.