• Annual Conference on Human and Language Technology
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• 2007.10a
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• pp.295-301
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• 2007

온톨로지의 재사용을 위한 온톨로지 통합 연구가 진행 중이다. 기존의 온톨로지 통합 방법으로는 세 개 이상의 온톨로지를 한 번에 통합할 수 없으며, 다수의 작업자가 동시에 통합 작업을 할 수 없다는 단점이 있다. 따라서 본 논문에서는 메타 온톨로지를 이용하여 다수의 작업자가 다수의 온톨로지를 동시에 통합할 수 있는 온톨로지 통합 프로세스(OntoIntegProcess)를 제안하고, 온톨로지 통합 실험을 통해 제안한 온톨로지 통합 프로세스의 효용성을 확인한다.

• Journal of Computing Science and Engineering
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• v.3 no.3
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• pp.143-164
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• 2009

This article surveys recent research in the area of language modeling (sometimes called statistical language modeling) approaches to information retrieval. Language modeling is a formal probabilistic retrieval framework with roots in speech recognition and natural language processing. The underlying assumption of language modeling is that human language generation is a random process; the goal is to model that process via a generative statistical model. In this article, we discuss current research in the application of language modeling to information retrieval, the role of semantics in the language modeling framework, cluster-based language models, use of language modeling for XML retrieval and future trends.

• Korean Institute of Interior Design Journal
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• no.28
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• pp.60-67
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• 2001

Built-up environments by humans are cultural byproducts which combine social ideology and architectural paradigm. The process of modernization in the Western countries has the characteristic of decisive paradgm based on materialism. Therefore, environmental design in modern world failed to focus on the essential features of humanity which are the subject of space and replaced it for objective and unilateral architectural environments, instead. Environment without supporting the human psychological and complicated behaviorism is as same as the hardware without the vitality. under these regards, this study will cover the design approach of pattern language as a design method of environment design. The purpose of design approach by pattern language lies in creating the space of flexibility, adaptability and strong vitality. It is summed up as humanization in space and it helps the user to verbalize individualized space language for their own. The range and method of in the study attribute to the pattern language of Christopher Alexander and a researcher' method on them. In premise that human behavior ought to the multilateral and indefinite under rapid change of circumstances in modern world, th study tried to find the design method stimulating creative behavior of human being.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.4 no.4
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• pp.595-617
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• 2010

This paper proposes a novel of a personalized Computer Assisted Language Learning (CALL) system based on learner's cognitive abilities related to foreign language proficiency. In this CALL system, a strategy of retrieval learning, a method of learning memory cycle, and a method of repeated learning are applied for effective vocabulary memorization. The system is designed to offer personalized learning based on cognitive abilities related to the human language process. For this, the proposed CALL system has a cognitive diagnosis module which can measure five types of cognitive abilities. The results of this diagnosis are used to create dynamic learning scenarios for personalized learning and to evaluate user performance in the learning. This system is also designed in order to have users be able to create learning word lists and to share them simply with various functions based on open APIs. Additionally, through experiments, it has shown that this system helps students to learn English vocabulary effectively and enhances their foreign language skills.

• Journal of English Language & Literature
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• v.55 no.3
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• pp.383-398
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• 2009

Based on the Greek myth of Pygmalion and the fairy tale of Cinderella, Shaw's Pygmalion demonstrates a masterful coalescence of these two narrative motifs into a coherent plot scheme. Even more significant is his keen insight into the conflicts created at the tripartite intersection of human activity concerning language/class/culture, which, as the leitmotif, revolves around lessons in language learning. This play basically deals with human transformation and by its very nature, Higgins's experimentation with transforming Eliza cannot stop at language alone. Her cultural transformation ripples over into the realms of gesture and even a unique way of living (modus vivendi) intimately associated with taste and manners, which Bourdieu terms as habitus. By acquiring a new fashion and language, Eliza is reborn as a new lady aspiring to be filled with a newly acquired habitus. While separating her from her old Cockney style, Higgins inculcates Queen's English in Eliza, in which process her changed speech styles gradually transforms and restructures her deportment and manners, finally generating new practices, perceptions and attitudes. The gist of Pygmalion is however less Eliza's ascent into the middle class than her battle for symbolic capital waged at the level of language. By problematizing his contemporary practice of habitus conventionalized and warped by class distinctions based on economic, social and cultural capitals, Shaw creates a new humanist model of man founded on spiritual and rational virtues. In conclusion, Eliza is not a frigid Galatea but a dynamic character that goes through a brilliant transformation of three stages: 1) linguistic; 2) cultural, and 3) humanist. Finally she is built into a "consort battleship" on an equal standing with her sculptor. The process of her character-building cannot be illuminated without resorting to the dynamic notion of habitus, which highlights the process of inculcation, structuring, generation and transposing. Given the overwhelming weight of the heroine's role and the dynamic process of her transformation as the major plot scheme, this play should be christened Galatea in lieu of Pygmalion.

• Annual Conference on Human and Language Technology
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• 1991.10a
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• pp.196-208
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• 1991

This study focused on the role of prefabricated speech (routines and patterns) in the L2 acquisition process. The data for this study consisted of spontaneous speech samples and various observational records of three Korean children learning English as L2 in a nursery school. The specific questions addressed here were: (1) What routines, patterns, and creative constructions did the children use? (2) What was the general trend in the three children's use of routines, patterns, and creative constructions over time? The data were collected over a period of one school year by observing the children in their school. The findings were discussed from the perspective of human information processing. This study found that prefabricated speech played a significant role in the three children's L2 acquisition. The automatic processing of prefabricated speech appeared to enable the children to reduce the burden on their information processing systems, which allowed the saved resources available for other language development activities. Also, the children's language development was evident in their increase in the use of patterns. The children were moving from heavy dependence on wholly unanalyzed routines to increased use of partly unanalyzed patterns. This increased control was the result of an increase in procedural knowledge.

• The Journal of Korea Robotics Society
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• v.14 no.1
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• pp.22-30
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• 2019

For effective human-robot interaction, robots need to understand the current situation context well, but also the robots need to transfer its understanding to the human participant in efficient way. The most convenient way to deliver robot's understanding to the human participant is that the robot expresses its understanding using voice and natural language. Recently, the artificial intelligence for video understanding and natural language process has been developed very rapidly especially based on deep learning. Thus, this paper proposes robot vision to audio description method using deep learning. The applied deep learning model is a pipeline of two deep learning models for generating natural language sentence from robot vision and generating voice from the generated natural language sentence. Also, we conduct the real robot experiment to show the effectiveness of our method in human-robot interaction.

• Journal of English Language & Literature
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• v.64 no.3
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• pp.483-530
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• 2018

Unpacking and dispersing rights of various kinds formerly enjoyed by a selected few has been the constant motivation behind the democratization and modernization of human society. Human rights and later civil rights have continuously been constituted and reconstituted in response to the demands of the laboring class, slaves, women, subalterns, animals, and things, expanding beyond the boundaries of class, race, nation, sexuality, gender, species and organism. Calling attention to the ways in which literary and cultural texts have narrated rights so as to inscribe these human, nonhuman, and inhuman demands. Narrating rights offer opportunities to interrogate the lasting contributions of English language and literature to questioning, reforming, and practicing rights. The interrogation is particularly pertinent in this age in which revised and dispersed rights are creating new conflicts, requiring them to be narrated differently and imaginatively so as to allow all the parties in conflict to participate in working out the conflicts. With the 2017 theme of "Literature and Human Rights," JELL editorial collective hope to explore the relationship between literature and human rights in its multiple simultaneous, and plural manifestations in an open platform. "Narrating Rights" is a double-edged task that, on one hand, reflects the singular life conditions or contexts of a human, inhuman or nonhuman being and, on the other hand, aspires to the perpetual process of rights' universal application. Eleven out of all the keynote speakers at the 2017 ELLAK Convention were invited to this roundtable on Literature and Human Rights. The following transcription includes the dialogues of the eleven discussants.

• Annual Conference on Human and Language Technology
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• 2004.10d
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• pp.240-247
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• 2004

The purpose of this study was to investigate the role of phonology in lexical access of bilingual processing for Korean-English bilinguals. Four experiments have been conducted in order to adjudicate the nonselective lexical access hypothesis, which argues simultaneous phonological activation of two bilingual languages, and the selective lexical access hypothesis, which argues phonological activation of only one bilingual language. The results showed that the Korean target word processing was significantly affected by the phonological manipulation of the English prime word(Exp. 2). Similarly, the English target word processing showed the tendencies that it is affected by the phonological manipulation of the Korean prime word(Exp. 2). This results indicates that the phonological information of another bilingual language is automatically activated when we process one of bilingual languages, and the process of English, which is the second language for most Korean, is phonologically activated.

• Electronics and Telecommunications Trends
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• v.38 no.6
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• pp.1-11
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• 2023

Large language models seem promising for handling reasoning problems, but their underlying solving mechanisms remain unclear. Large language models will establish a new paradigm in artificial intelligence and the society as a whole. However, a major challenge of large language models is the massive resources required for training and operation. To address this issue, researchers are actively exploring compact large language models that retain the capabilities of large language models while notably reducing the model size. These research efforts are mainly focused on improving pretraining, instruction tuning, and alignment. On the other hand, chain-of-thought prompting is a technique aimed at enhancing the reasoning ability of large language models. It provides an answer through a series of intermediate reasoning steps when given a problem. By guiding the model through a multistep problem-solving process, chain-of-thought prompting may improve the model reasoning skills. Mathematical reasoning, which is a fundamental aspect of human intelligence, has played a crucial role in advancing large language models toward human-level performance. As a result, mathematical reasoning is being widely explored in the context of large language models. This type of research extends to various domains such as geometry problem solving, tabular mathematical reasoning, visual question answering, and other areas.