• Journal of Korean language education
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• v.29 no.2
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• pp.73-100
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• 2018

The purpose of this study is to investigate learner-learner dialogue during speaking tasks. In the Korean language classroom, conversation between learners is an important activity as speaking practice. However, learner dialogue is also a tool to enable learners to collaboratively conduct various cognitive activities in the classroom. In previous research, it was unfolded that through learner-learner dialogue, learners can solve second-language related problems and set a goal to carry out tasks. Therefore, this study analyzed learner-learner dialogue to investigate what kinds of cognitive activities are activated during the role-play task. As a result, the learners collaboratively generated and monitored language and content for role play. Also, in order to accomplish tasks more successfully, learners shared the same understanding about the goal of the task, and tried to manage the task procedure. Through learner-learner dialogue, learners can participate in cognitive activities such as content, language construction, and task management voluntarily without the help from teachers. This means that learner-learner dialogue can be an activity to support language learning tasks. Also, it can make learners actively involved in learning and by sharing resources with each other. It is also important that learners can experience language use that participates in real-world communication activities, such as learning in the classroom and collaborating with peer learners. This study is an exploratory study for a basic understanding of learner's conversation as a cognitive activity, and the scope of the study is limited to clarifying contents of learner-learner dialogue as a cognitive activity in speaking tasks. Based on the findings of this study, future research should be conducted on the function of learner-learner dialogue as a cognitive activity in Korean language learning and its role in the classroom of Korean language education.

• Korean Journal of Cognitive Science
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• v.7 no.2
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• pp.113-154
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• 1996

• Investigative Magnetic Resonance Imaging
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• v.5 no.1
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• pp.24-32
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• 2001

Purpose : We investigated the reproducibility of language lateralization by 4 different word generation paradigms or the rest contents in each paradigm using functional magnetic resonance imaging in normal volunteers Materials and Methods Nine normal volunteers with left-handedness (mean age: 25 yrs) were examined on a 1.57 MR unit using a single-shot gradient echo epibold sequence. Four different word generation paradigms of noun, verb, adjective and adverb were used in each normal volunteer for investigating language system. In each paradigm, two different rest contents consisted of only seeing the " +" symbol or reading the meaningless letters. Each task consisted of 96 phases including 3 activations and 6 rests of 2 different contents. Two activation maps in one task were obtained under two different rest contents using the correlation method. We evaluated the detection rates of Broca and Wernicke areas and the differences of language lateralization among four different word generation paradigms, or between the rest contents. Results : The detection rates of Broca and Wernicke areas were over 67 % in 4 different language paradigms and there was no significant difference of them among language paradigms, or between two different rest contents. Language dominances, in all 4 different language paradigms, were shown to be consistent in 66 %, but were contrary with language paradigms in some subjects. The rest contents made no significant effect on dominant language dominance determination, but the success rates of the dominant language dominances determined from 4 language paradigms were higher in reading the meaningless letter (100%, n=9) than in only seeing "+" on screen at the rest task (78%, n=7).

• Lingua Humanitatis
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• v.6
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• pp.265-291
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• 2004

The main purpose of this paper Is to analyze the characteristics of the Korean language used as a major communication means within the Korean community in Chenguoz District of Harbin, Heirungjiang Province, China, in terms of its phonology, morphology and syntax. The study focuses on how a variety of languages and dialects including Chinese, the Standard Chinese Korean adopted as a means of teaching in Korean schools, and Kyongsang Dialect of Korean have influenced the language of the community. It also deals as background information with the history of the community, the attitude of the community members toward Korean and Chinese, and their proficiencies of Korean and Chinese, to obtain the general picture of the bilingualism of this community. This specific region was studied since this region and most of the Korean communities in the Heirungjiang province were formed by descendents of the immigrants from the southern provinces of the Korean Peninsula, which allows the comparison between the language used today and the language their ancestors used before moving to this area. Due to the industrialization and innovation brought about by the opening of the Chinese society, the fast outward flow of youths to urban areas, and greater assimilation threats from the embedding Chinese culture, we are not too sure if the Korean language will continue to be used in the future. Given these circumstances, we consider this research most opportune in that it provides a look into the Korean community that developed its distinctive culture and language within an isolated cultural environment.

• Journal of English Language & Literature
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• v.54 no.1
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• pp.149-167
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• 2008

Korea has persisted in the notion of "ethnic nationalism." That is "one race, one people, one language" as a homogeneous entity. This social ideal of unity prevails, even in overseas Korean communities formed by voluntary and involuntary displacement in the turmoil of modern history: communities made intermittent with the Japanese colonial occupation and with postcolonial encounters with the West. Given that the Korean people suffered from the trauma of deprivation of the language caused by the loss of the nation, nation has been equated with the language. Accordingly, "these bearers of a homeland" are also firm Korean language holders. The linguistic patriotism of unity based on the intertwining of "mother tongue" and "father country" has become prevalent in the collective memory of the people of the Korean diaspora. Korean American literature has grappled with this concept of the national history of Korea and the Korean language. The aesthetics of Korean American literature has been marked by an influx of literary resources of 'Korea' in sensibilities and structure of feelings; Korean myth, folk lore, songs, humor, traditional stories, manners, customs and historic moments. An experimental use of the Korean alphabet, Hangeul, written down as pronounced, provides an ethnic flavor in the midst of the English texts. Despite its national framework of mind, however, Korean American literature as an interstitial art reveals a keen awareness of inbetweenness, and transnational hybrid identities. By exploring the complex interrelationships of cultural and linguistic boundary-crossing practices in Korean American literature, this paper argues that the poetics of the Korean diaspora challenges the closed structure of identity formation, and offers a transnational sphere to deconstruct a rigidly demarcated national ideology of "one race, one people, one language," for the world literary history.

• Korean Journal of Cognitive Science
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• v.12 no.1_2
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• pp.1-9
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• 2001

In this paper. we present a web-based object model of language resources that are distributed in different places in variable forms. Language resources organized as objects distributed over web sites can be easily utilized to produce application systems of natural language processing. So. it renders effective maintenance of overall language processing environment in that upgrading language resources can lead to the mechanical upgrading of application systems. We implemented a dictionary constructing system for Korean Language (YDK2000). This system can integrate various linguistic dictionaries and also allow to construct high quality application specific dictionaries by connecting them to natural language systems on the Internet.

• International Journal of Contents
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• v.15 no.1
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• pp.39-51
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• 2019

Spontaneous speech provides rich information defining the linguistic characteristics of individuals. As such, computational analysis of speech would enhance the efficiency involved in evaluating patients' speech. This study aims to provide a method to differentiate the persons with and without aphasia based on language usage. Ten aphasic patients and their counterpart normal controls participated, and they were all tasked to describe a set of given words. Their utterances were linguistically processed and compared to each other. Computational analyses from PCA (Principle Component Analysis) to machine learning were conducted to select the relevant linguistic features, and consequently to classify the two groups based on the features selected. It was found that functional words, not content words, were the main differentiator of the two groups. The most viable discriminators were demonstratives, function words, sentence final endings, and postpositions. The machine learning classification model was found to be quite accurate (90%), and to impressively be stable. This study is noteworthy as it is the first attempt that uses computational analysis to characterize the word usage patterns in Korean aphasic patients, thereby discriminating from the normal group.

• Annual Conference on Human and Language Technology
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• 2003.10d
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• pp.47-53
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• 2003

본 논문은 정제된 대용량 말뭉치로부터 얻은 음절 n-gram과 어절 통계를 이용한 한국어 자동 띄어쓰기 시스템을 제안한다. 한 문장 내에서 최적의 띄어쓰기 위치는 Viterbi 알고리즘에 의해 결정된다. 통계 기반 연구에 고유한 문제인 데이터 부족 문제, 학습 말뭉치 의존 문제를 개선하기 위하여 말뭉치를 확장하고 실험을 통해 얻은 매개변수를 사용하고 최장 일치 Viable Prefix를 찾아 어절 목록에 추가한다. 본 연구에 사용된 학습 말뭉치는 33,641,511어절로 구성되어 있으며 구어와 문어를 두루 포함한다.

• Annual Conference on Human and Language Technology
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• 2021.10a
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• pp.633-636
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• 2021

개체명 인식은 주어진 문장 안의 고유한 의미가 있는 단어들을 인명, 지명, 단체명 등의 미리 정의된 개체의 범주로 분류하는 문제이다. 최근 연구에서는 딥 러닝, 대용량 언어 모델을 사용한 연구들이 활발하게 연구되어 높은 성능을 보이고 있다. 하지만 이러한 방법은 대용량 학습 말뭉치와 이를 처리할 수 있는 높은 연산 능력을 필요로 하며 모델의 실행 속도가 느려서 실용적으로 사용하기 어려운 문제가 있다. 본 논문에서는 얕은 기계 학습 기법을 적용한 ManiFL을 사용한 개체명 인식 시스템을 제안한다. 형태소의 음절, 품사 정보, 직전 형태소의 라벨만을 자질로 사용하여 실험하였다. 실험 결과 F1 score 기준 90.6%의 성능과 초당 974 문장을 처리하는 속도를 보였다.

• Journal of Korean language education
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• v.28 no.2
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• pp.113-153
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• 2017

This thesis is an analysis of research topics among doctorate research papers in Korean education from 1990 to 2016. The purpose of this paper is to keep up with current trends of Korean Language Education research in South Korea and China. The study aims to provide relevant information to researchers majoring in Korean language education and to determine future directions of Korean language education. In this study, among a total of 1709 Korean and Chinese studies of Korean language education, a final selection of 444 doctoral thesis (which consist of a total of 389 papers in Korea and a total of55 papers in China) were chosen from 1990 to 2016. The final selection of 444 papers was classified by year, topics and methodologies with a detailed analysis of the content. In addition, a detailed analysis of future directions and challenges for Korean education within South Korea and China is provided.