• Journal of Korean language education
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• v.28 no.4
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• pp.245-271
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• 2017

This study aimed at investigating the lexical diversity in the "Frog Story" narratives of Korean-Chinese bilingual children. Six bilingual speakers of Korean children- four boys and two girls- were audio recorded as they produced narratives based on pictures from the Mercer Mayer book "Frog, where are you?" The order of narration was counterbalanced. The vocabularies from narratives were analyzed by type, token, TTR (type-token Ratio) and D value using the CLAN (Computerized Language Analysis) program. The findings showed that the pattern of lexical diversity in Korean is similar with the Chinese, but the TTR and D value of Chinese still remain low in comparison with those of Korean. In addition, Korean language seems to have significant influence on Chinese in the language usage pattern and vice versa.

• Korean Journal of Child Studies
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• v.32 no.6
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• pp.157-185
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• 2011

The purpose of this study was to explore the factors influencing preschoolers' emergent English as a second language literacy skills in terms of maternal language behavior in Korean and English picture book reading. This study was also conducted in order to identify the pathways of each factor. The subjects consisted of 201 mothers and their 3~5 year-old children from middle income families living in Seoul, Incheon, Gyyounggi-do, and Chungcheongbuk-do. The results indicated that the factors influencing preschoolers' emergent English as a second language literacy skills acquisition were as follows : maternal beliefs about the value of picture book reading, the child's level of interest in picture book reading, the time spent on picture book reading and maternal language behavior during picture book reading activities. The results further indicate that it is important that the mother shares desirable language interaction with her children in their native language while reading not only Korean but also English picture books when aiming to improve preschoolers' emergent English literacy skills.

• East Asian mathematical journal
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• v.40 no.3
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• pp.307-318
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• 2024

This paper explores the application of matrix factorization, specifically CUR decomposition, in the clustering of Korean language documents by topic. It addresses the unique challenges of Natural Language Processing (NLP) in dealing with the Korean language's distinctive features, such as agglutinative words and morphological ambiguity. The study compares the effectiveness of Latent Semantic Analysis (LSA) using CUR decomposition with the classical Singular Value Decomposition (SVD) method in the context of Korean text. Experiments are conducted using Korean Wikipedia documents and newspaper data, providing insight into the accuracy and efficiency of these techniques. The findings demonstrate the potential of CUR decomposition to improve the accuracy of document clustering in Korean, offering a valuable approach to text mining and information retrieval in agglutinative languages.

• CELLMED
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• v.13 no.14
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• pp.20.1-20.6
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• 2023

The purpose of this study is to explore directions for achieving therapeutic and social well-being effects through intercultural citizenship education in language classrooms. To accomplish this, we first clarified the concepts of education as healing, social well-being, and intercultural citizenship education. Subsequently, through the analysis of reflective journals on the writing and peer review processes written by university students, we discovered manifestations of key concepts of intercultural citizenship, such as empathy, recognition, connection, discovery of new knowledge, and attitude change. Based on these insights, we proposed the perspective that addressing the concept of intercultural citizenship in Korean language education can be beneficial for language education as a form of healing and for social well-being. Furthermore, we suggested that future language education should evolve from instruction focused on the interpretation of symbols and functional proficiency to practices that empower learners as members of global society, allowing them to assign value to their lives and build healthy relationships with others.

• International Commerce and Information Review
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• v.8 no.4
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• pp.369-387
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• 2006

The study mainly aims to explore and compare the cultural value orientations of Southeast Asian countries with concrete index of variable factors, and ultimately seeks for directions for Korea better role as a leading country in Southeast Asian economic region. The research limits the scope of the study only to three countries of the Philippines, Indonesia and Thailand. It is due to the significant differences of geography, language, and above all unique religion in Southeast Asia region, The Philippines, Indonesia and Thailand are very much similar in many aspects of diverse ethnicity, diverse religion, especially in the aspect of culture. However, it is no doubt, among countries surveyed, that the research show the differences in continuum level in terms of value orientations. Generally it might be due to the history, religion and language differences.

• Spatial Information Research
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• v.7 no.2
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• pp.191-207
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• 1999

Data and information necessary for solving the spatial decision making problems are imperfect or inaccurate and most are described by natural language. In order to process these arts of information by the computer, the obscure linguistic value need to be described quantitatively to let and computer understand natural language used by humans. For this , the fuzzy set theory and the fuzzy logic are used representative methodology. So this paper describes the construction of the language model by the natural language that user easily can understand and the logical concepts and construction process for building the fuzzy inference mechanism. It makes possible to solve the space related decision making problems intellectually through structuring and inference used by the computer, in case of the evaluation concern or decision making problems are described inaccurate, based on the inaccurate or indistinct data and information.

• The Transactions of the Korea Information Processing Society
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• v.7 no.6
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• pp.1964-1972
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• 2000

For the Korean language, on acoustics, it creates a different form of phonetic value not a phoneme by its own peculiar property. Therefore, the construction of extended recognition system for understanding Korean language should be created with a study of the Korean rule-based system, before it can be used as post-processing of the Korean recognition system. In this paper, text-based Korean rule-based system featuring Korean peculiar vocal sound changing rule is constructed. and based on the text-based phonetic value result of the system constructed, a preliminary phonetic value segmentation border points with non-uniform blocks are extracted in Korean isolated word speech. Through the way of merge and recognition of the non-uniform blocks between the extracted border points, recognition possibility of Korean voice as the form of the phonetic vale has been investigated.

• Phonetics and Speech Sciences
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• v.7 no.3
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• pp.153-163
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• 2015

This study investigated the trends of mobile applications which were developed for prompting speech and language skills for children with disabilities, and analyzed the function and contents of these applications as a tool of speech and language therapy. For this analysis, twenty applications among 71 ones were selected according to the exclusion criteria. These applications were classified by the 8 using types of contents and analyzed the function of mobile applications by the revised mobile contents evaluation standard (ease of use, value of education, interest level, and interactivity). As a results, applications for augmentative and alternative communication were developed much more than any other types. And the ease of use got the highest score whereas the interest level got the lowest score in whole evaluation analysis. The result of this study would suggest way to evaluate applications for speech language therapy and to contribute to developing the contents and function of mobile applications aims to help children with disabilities improving their speech and language skills.

• International Journal of Advanced Culture Technology
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• v.11 no.1
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• pp.192-197
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• 2023

David Salle, born in Norman, Oklahoma in 1952, is the most important and controversial artist of the new-expressionist painting in the United States. His paintings are featured by unique artistic language, and extremely diverse and very ground-breaking expression, which reflect the American society at that time. Besides, he often uses complex image combination with striking colors and forms to attract and touch viewers. In this paper, based on the American new-expressionism, the painting language of David Salle's works was analysed, in which I found that it can be more intuitively and more profoundly feel the development of new-expressionist painting context and David Salle's particularity, and more clearly realize under what the characteristics of the era David Salle created the unique artistic language. The study on David Salle's unique painting language is of important research value and reference significance for our current artistic creation.

• International Journal of Computer Science & Network Security
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• v.24 no.2
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• pp.101-112
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• 2024

Telugu language is considered as fourth most used language in India especially in the regions of Andhra Pradesh, Telangana, Karnataka etc. In international recognized countries also, Telugu is widely growing spoken language. This language comprises of different dependent and independent vowels, consonants and digits. In this aspect, the enhancement of Telugu Handwritten Character Recognition (HCR) has not been propagated. HCR is a neural network technique of converting a documented image to edited text one which can be used for many other applications. This reduces time and effort without starting over from the beginning every time. In this work, a Unicode based Handwritten Character Recognition(U-HCR) is developed for translating the handwritten Telugu characters into English language. With the use of Centre of Gravity (CG) in our model we can easily divide a compound character into individual character with the help of Unicode values. For training this model, we have used both online and offline Telugu character datasets. To extract the features in the scanned image we used convolutional neural network along with Machine Learning classifiers like Random Forest and Support Vector Machine. Stochastic Gradient Descent (SGD), Root Mean Square Propagation (RMS-P) and Adaptative Moment Estimation (ADAM)optimizers are used in this work to enhance the performance of U-HCR and to reduce the loss function value. This loss value reduction can be possible with optimizers by using CNN. In both online and offline datasets, proposed model showed promising results by maintaining the accuracies with 90.28% for SGD, 96.97% for RMS-P and 93.57% for ADAM respectively.