• The Journal of the Korea Contents Association
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• v.19 no.4
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• pp.197-206
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• 2019

This study aims to analyze through the integrated textbooks whether writing tasks are designed to be successful in cultivating students' writing abilities in the general-purpose Korean language education. First, we established the concept and the components of the writing task based on the definitions mentioned in previous research. The analysis of the types of writing tasks revealed "free writing" and "imitation and writing" to be the most frequent types of writing tasks in both textbooks. The textbooks have only twenty-one subjects in common. And most instructions provide only themes and genres, excluding the purpose, form, quantity, and time necessary for the article or for comprehending the instructions. In these tasks, the reading passages are most often explanatory text. The scoring criteria and time were not provided for the evaluation criteria and other factors. Therefore it became necessary to express the components of the writing task as explicitly and concretely as possible to improve learners' performances.

• The Korean Journal of Applied Statistics
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• v.37 no.4
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• pp.395-410
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• 2024

Text data is usually made up of a wide variety of unique words. Even in standard text data, it is common to find tens of thousands of different words. In text data analysis, usually, each unique word is treated as a variable. Thus, text data can be regarded as a dataset with a large number of variables. On the other hand, in text data classification, we often encounter class label imbalance problems. In the cases of substantial imbalances, the performance of conventional classification models can be severely degraded. To improve the classification performance of support vector machines (SVM) for imbalanced data, algorithms such as the Synthetic Minority Over-sampling Technique (SMOTE) can be used. The SMOTE algorithm synthetically generates new observations for the minority class based on the k-Nearest Neighbors (kNN) algorithm. However, in datasets with a large number of variables, such as text data, errors may accumulate. This can potentially impact the performance of the kNN algorithm. In this study, we propose a method for enhancing prediction performance for the minority class of imbalanced text data. Our approach involves employing variable selection to generate new synthetic observations in a reduced space, thereby improving the overall classification performance of SVM.

• Koreanishche Zeitschrift fur Deutsche Sprachwissenschaft
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• v.6
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• pp.1-21
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• 2002

'임시복합명사'는 명사 하나 하나의 의미가 개인의 머릿속에 저장되어 있지만, 이들이 결합해서 생긴 단어가 일반적인 언어사전에 등록되어 있지 않고 문맥에 따라 새로운 의미가 형성되어서 결합된 명사를 의미한다. 따라서 이 논문에서는 사전의 목록에 등록되어 있지 않아서 의미적으로 애매한 복합명사들을 '임시복합명사' ad-hoc Nominal-komposita 라고 지칭하였다. 이때 이러한 '임시복합명사'를 생성하는데 있어서 '임시복합명사'를 구성하는 각 요소들은 새로운 복합명사를 만드는데 필요한 '입력'의 역할을 담당한다. 이 논문에서는 '임시복합명사'를 구성하는데 필요한 일종의 다양한 원칙들을 다루어 보았다. 그러한 원칙들은 순수 언어학적인 논거를 바탕으로 '임시복합명사'를 생산하고 해석해 나가는 과정에 대한 타당성을 입증해 주었다. 그러나 일반적인 지식 Weltwissen과 텍스트 문맥에 맞는 구조를 편입함으로써 그 형태와 해석이 가능한 다른 형태의 복합어는 이 논문에서 자세히 다루지 않았다. 이 논문에서 제시된 복합명사의 생성과 해석과정은 대부분의 경우 복합어 고유의 현상만을 설명한 것이 아니라, 일반적으로 복합어를 생산하고 해석하는 과정을 다룬 것이다. 마찬가지로 이 점은 텍스트 문맥과 상관없이 해석이 가능한 복합어 내지는 텍스트 문맥에 따라 해석이 가능한 복합어에서도 똑같이 적용된다. 텍스트의 문맥을 통해서 자체적으로 해석이 가능하지 않은 복합어를 명확하게 의미를 부여하고 해석하는 과정, 예를 들어 의사소통상에서 일반적인 지식을 이용하여 '임시복합어'를 해석하는 과정은 이후의 연구에 다양하게 다루어 질 테마가 될 것임이 분명하다. 또한 '임시복합명사'를 생산하기 위해 이 논문에서 다룬 전제조건들은 또 다른 새로운 복합어를 생산하는데, 예를 들어 명사로부터 파생된 동사들의 복합어를 연구하는데 밑거름이 될 것이다.학의 강력한 연구가 요구된다.에 기대어 텍스트, 문장, 어휘영역 등이 투입되어 적용되었으며, 이에 상응되게 구체적인 몇몇 방안들이 제시되었다. 학습자들이 텍스트를 읽고 중심내용을 찾아내며, 단락을 구획하고 또한 체계를 파악하는데 있어서 어휘연습은 외국어 교수법 측면에서도 매우 관여적이며 시의적절한 과제라 생각된다. Sd 2) PL - Sn - pS: (1) PL[VPL - Sa] - Sn - pS (2) PL[VPL - pS] - Sn - pS (3) PL(VPL - Sa - pS) - Sn - pS 3) PL[VPL - pS) - Sn -Sa $\cdot$ 3가 동사 관용구: (1) PL[VPL - pS] - Sn - Sd - Sa (2) PL[VPL - pS] - Sn - Sa - pS (3) PL[VPL - Sa] - Sn - Sd - pS 이러한 분류가 보여주듯이, 독일어에는 1가, 2가, 3가의 관용구가 있으며, 구조 외적으로 동일한 통사적 결합가를 갖는다 하더라도 구조 내적 성분구조가 다르다는 것을 알 수 있다. 우리는 이 글이 외국어로서의 독일어를 배우는 이들에게 독일어의 관용구를 보다 올바르게 이해할 수 있는 방법론적인 토대를 제공함은 물론, (관용어) 사전에서 외국인 학습자를 고려하여 관용구를 알기 쉽게 기술하는 데 도움을 줄 수 있기를 바란다.되기 시작하면서 남황해 분지는 구조역전의 현상이 일어났으며, 동시에 발해 분지는 인리형 분지로 발달하게 되었다. 따라서, 올리고세 동안 발해 분지에서는 퇴적작용이, 남황해 분지에서는 심한 구조역전에 의한 분지변형이 동시에 일어났다 올리고세 이후 현재까지, 남황해 분지와 발해 분지들은 간헐적인 해침과 함께 광역적 침강을 유지하면서 안정된 대륙 및 대륙붕 지역으로 전이되었다.

• Journal of The Korean Association For Science Education
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• v.40 no.1
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• pp.41-50
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• 2020

Looking at the understanding of scientific concepts from a linguistic perspective, it is very important for students to develop a deep and sophisticated understanding of words used in scientific concept as well as the ability to use them correctly. This study intends to provide the basis for productive knowledge education of scientific words by noting that the foundation of productive knowledge teaching on scientific words is not well established, and by exploring ways to teach the relationship among words that constitute scientific concept in a productive and effective manner. To this end, we extracted the relationship among the words that make up the scientific concept from the text of science textbook by using quantitative text analysis methods, second, qualitatively examined the meaning of the word relationship extracted as a result of each method, and third, we proposed a writing activity method to help improve the productive knowledge of scientific concept words. We analyzed the text of the "Force and motion" unit on first grade science textbook by using four methods of quantitative linguistic analysis: word cluster, co-occurrence, text network analysis, and word-embedding. As results, this study suggests four writing activities, completing sentence activity by using the result of word cluster analysis, filling the blanks activity by using the result of co-occurrence analysis, material-oriented writing activities by using the result of text network analysis, and finally we made a list of important words by using the result of word embedding.

• Journal of Information Management
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• v.25 no.1
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• pp.24-46
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• 1994

In this paper I will discuss definitions of hypermedia, multimedia and hypertext. Hypertext is the grouping of relevant information in the form of nodes. These nodes are then connected together through links. In the case of hypertext the nodes contain text or graphics. Multimedia is the combining of different media types for example sound, animation, text, graphics and video for the presentation of information by making use of computers. Hypermedia can be viewed as an extension of hypertext and multimedia. It is based on the concept of hypertext that uses nodes and links in the structuring of information in the system. In this case the nodes consist of an the different data types that are mentioned in the multimedia definition above. The 'node-and-link' concept is used in organisation of the information in hypermedia systems. The 'book' metaphor is an example of the way these systems are implemented. This concept is explained and a few advantages and disadvantages of making use of hypermedia systems are discussed. A new approach for the development of hypermedia systems, namely the knowledge-based approach is now looked into. Joel Peing-Ling Loo proposed this approach because he thought that it is the most effective way for handling this kind of technology. A semantic-based hypermedia model is developed in this approach to formulate solutions for the restrictions in presenting information authoring, maintenance and retrieval. The knowledge-based presentation of information includes the use of conventional data structures. These data structures make use of frames(objects), slots and the inheritance theory that is also used in expert systems. Relations develop between the different objects as these objects are included in the database. Relations can also exist between frames by means of attributes that belong to the frames.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.633-640
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• 2021

This study analyzes the effects of text and image presenting methods in video lectures on students' learning flow, learning satisfaction and learning outcomes. The text presenting methods include forming short sentences of 2 or 3 words or using key words, while image presenting methods include images featuring both detailed and related information as well as images containing only related information. 167 first year students from Xingtai University were selected as experimental participants. Groups of participants were randomly assigned to engage in four types of video. The research results are as follows. First, it was found that learning flow, learning satisfaction and learning outcomes of group presented with video forms of short sentences had higher statistical significance compared to the group experiencing the key word method. Second, learning flow, learning satisfaction and learning outcomes of group presented with video forms of only related information had higher statistical significance compared to the group experiencing the presenting method of both detailed and related information. That is, the mean values of dependent variables for groups of short form text and only related information were highest. In contrast, the mean values of dependent variables for groups of key words and both detailed and related information were the lowest.

• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.169-178
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• 2022

In this article, the narrative strategy of Ryusuke Hamaguchi's is researched focusing on multi-layered intertextuality. is framed in the form of a 'story in a story that embraces a story', and the recognition of intertextuality has an important meaning in examining the storytelling strategy of . Because this movie was adapted from the short stories from Haruki's , the various stories included in the film overlap to form the overall narrative. Therefore, in order to understand properly, it is important to understand the organic semantic relationship between the texts in the movie. Understanding the narrative of is also the process of interconnecting textual content of multiple texts included in the film. In , the dream story told by Otto, Gafuku's wife, the main character, and in the play are elaborately linked to the narrative of the entire film in layers and three dimensions with text in a frame. Hamaguchi reinforces the need for the audience through the intertextual narrative strategy of . In addition, the metaphor and personalized space of contributes to the effective delivering the narrative of healing to the audience.

• The Journal of the Korea Contents Association
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• v.10 no.12
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• pp.70-76
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• 2010

This paper Extended ELZW(EBCDIC Lempel Ziv Welch) algorithm uses 2 byte prefix field for pointer of a table and 1 byte suffix field for repeat counter. where, a prefix field uses a pointer(index) of compression table and a suffix field uses a counter of overlapping or recursion text data in compression table. To increase compression ratio, after construction of compression table, table data are properly packed as different bit string in accordance with a alphabet, Hangeul, and pointer respectively. Therefore, proposed ELZW algorithm is superior to 1byte LZW algorithm as 5.22 percent and superior to 2byte LZW algorithm as 8.96 percent.

• KIISE Transactions on Computing Practices
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• v.21 no.11
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• pp.733-738
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• 2015

User demographic information is necessary in order to improve the quality of personalized services such as recommendation systems. Mobile data, especially text data, is known to be effective for prediction of user demographic information. However, mobile text data has privacy issues so that its utilization is limited. In this regard, we introduce an on-device gender prediction framework utilizing mobile text data while minimizing the privacy issue. Discriminative word and emoticon sets of each gender are constructed from web documents written by authors of each gender. After gender prediction is performed by comparing discriminative word and emoticon sets with a user's mobile text data, an ensemble method that combines two prediction results draws a final result. From experiments conducted on real-world mobile text data, the proposed on-device framework shows promising results for gender prediction.

• Journal of the Korea Convergence Society
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• v.12 no.1
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• pp.163-170
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• 2021

Smart-textronics technology which enables functional textiles has recently been applied in various fields such as smart clothes, smart home and smart health care, and a variety of smart-textronics products have been developed. In this context, the smart-textronics product development process is proposed based on the systematic participatory design method in this paper. The proposed method consists of two phases: in-depth interviews and analyzing. In the phase of in-depth interviews, participants are asked to create journey maps that include activities, pain points and emotional status and to generate solution ideas with sketches and simple prototypes. In the analyzing phase, design researchers investigate the participants' journey maps, and create personas by identifying critical characteristics with the behavior pattern analysis. Then, each persona's needs are linked with value elements of the E3 value framework. Finally, pre-survey was conducted to identify smart-textronics market and a smart sofa design is proceeded as the case study to show the applicability of the proposed method.