• Journal of Korean Classical Literature and Education
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• no.39
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• pp.5-39
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• 2018

This paper aims to identify the characteristics of literary therapy in relation to literature education. It also intends to clarify its distinctiveness. Literary therapy is not to teach literature. It does not deliver knowledge on agreed analyses, backgrounds and the nature of genres. Literary therapy encourages participants to fully appreciate one's thought and emotions and express them. The end goal is self-knowledge rather than the understanding of texts. Literary therapy focuses on self-knowledge through literatures as opposed to literature education which aims to encourage understandings of literature texts. In literary therapy, literature is media for personal growth facilitating self-expansion. Literature works enable participants to view oneself objectively by the means of one's responses to literature works. Literary therapy has more permissive viewpoints on recipients' response to literature texts than literature education. In addition, the subject of literary therapy is more unique and individualistic.

• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.427-436
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• 2021

The purpose of this study is to implement a machine learning language model that learns literary texts. Literary texts have an important characteristic that pairs of question-and-answer are not frequently clearly distinguished. Also, literary texts consist of pronouns, figurative expressions, soliloquies, etc. They hinder the necessity of machine learning using literary texts by making it difficult to learn algorithms. Algorithms that learn literary texts can show more human-friendly interactions than algorithms that learn general sentences. For this goal, this paper proposes three text correction tasks that must be preceded in researches using literary texts for machine learning language model: pronoun processing, dialogue pair expansion, and data amplification. Learning data for artificial intelligence should have clear meanings to facilitate machine learning and to ensure high effectiveness. The introduction of special genres of texts such as literature into natural language processing research is expected not only to expand the learning area of machine learning, but to show a new language learning method.

• The Journal of the Korea Contents Association
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• v.13 no.9
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• pp.440-447
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• 2013

Recently corpus linguistic analyses enable researchers to examine meanings and structural features of data, that is not detected intuitively. While the potential of corpus linguistic techniques has been established and demonstrated for non-literary data, corpus stylistic analyses have been rarely performed in terms of the analysis of literature. Specifically this paper explores keywords and their role in text analysis, which is primary part of corpus linguistic analyses. This paper focuses on the application of techniques from corpus linguistics and the interpretation of results. This paper addresses the question of what is to be gained from keyword analysis by scrutinizing keywords in Shakespeare's Romeo and Juliet.

• The Journal of the Convergence on Culture Technology
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• v.5 no.1
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• pp.37-43
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• 2019

Korean dramas since the 2000s are continuously experimenting with new narrative possibilities. Especially in the recent Korean drama, various modes of hybridization, mixing, and transformation are attempted. Therefore, this study aims to examine the consensus of literature and drama through popular drama in 2010. This study examines how literary texts are utilized in dramas through the use of Kim Eun-sook's lonely and glorious god-goblin and gentleman's dignity, and how these narrative and visual effects are gained. These two dramas are not only popular drama in Korea but also have important implications for interpreting literature and drama consciousness because they actively utilize literary texts in drama. This is the process of interpreting the main scene in which literature and the drama conspire, and grasping its significance. Through this study, we analyze the process of borrowing the part of the text of the text, drama, and taking the effect of storytelling by using 'book' as its materiality. This will confirm the way in which various genres are mixed and juxtaposed in one video text and its effects.

• Journal of Popular Narrative
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• v.25 no.1
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• pp.193-215
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• 2019

According to ethical literary criticism, every type of literature has its text. The original definition of oral literature refers to the literature disseminated orally. Before the dissemination, the text of oral literature is stored in the human brain, which is termed as "brain text". Brain text is the textual form used before the formation of writing symbols and its application to a recording of information, and it still exists after the creation of writing symbols. Other types of texts are written text and electronic text. Brain text consists of brain concepts, which, according to different sources, can be divided into objective concepts and abstractive concepts. Brain concepts are tools for thinking while thought comes from thinking with understanding and an application of brain concepts. Brain text is the carrier of thought. The termination of the synthesis of brain concepts signifies the completion of thinking, which produces thoughts to form brain text. Brain text determines thinking and behavioral patterns that not only communicate and spread information, but also decide our ideas, thoughts, judgments, choices, actions and emotions. Brain text is also a deciding factor for our lifestyle and moral behaviors. The nature of a person's brain text determines his thoughts and actions, and most importantly determines who he is.

• Annual Conference on Human and Language Technology
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• 2022.10a
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• pp.67-70
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• 2022

최근 자연어 생성 연구는 딥러닝 기반의 사전 학습 모델을 중심으로 활발하게 연구되고 있다. 하위 분야 중 하나인 텍스트 확장은 입력 텍스트를 출력에 잘 반영하는 것이 무엇보다도 중요하다. 기존 한국어 기반 텍스트 확장 연구의 경우 몇 개의 개념 집합에 기반해 문장을 생성하도록 한다. 그러나 이는 사람의 실제 발화 길이에 비해 짧고 단순한 문장만을 생성한다는 문제점이 존재한다. 본 논문은 이러한 문제점을 개선하면서 문학 스타일의 문장들을 생성하는 모델을 제안하였다. 또한 동일 모델에 대해 학습 데이터의 양에 따른 성능도 비교하였다. 그 결과, 짧은 요약문을 통해 문학 스타일의 여러 문장들을 생성하는 것을 확인하였고, 학습 데이터를 추가한 모델이 성능이 더 높게 나타나는 것을 확인하였다.

• The Journal of the Convergence on Culture Technology
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• v.5 no.2
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• pp.39-43
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• 2019

Recently, interest in literary therapy has been increasing. However, sometimes reading therapy is called literary therapy. But if you want to be a literary therapist, you need to know about the feelings that literary texts convey. To this end, Park Inkwa has long studied the relationship between sentences and emotions that the human body ignites. This study was also done in the view that the human body is so inspired and cured by literary text. It was conducted on the Lee Hangbok's Sijo "High Peak of Chullyoung", as it is suitable to discuss the feelings of literary therapy. In this study, Emotions were causing a transference to the reader with grief, which told the effect of literary therapy. We hope that such research will continue and further develop the technique of literary therapy.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.313-323
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• 2021

The purpose of this study is to propose rules that can identify the speaker referred by the speaker directive in the text for the realization of a machine learning-based virtual character using a literary text. Through previous studies, we found that when applying literary texts to machine learning, the machine did not properly discriminate the speaker without any specific rules for the analysis of speaker directives such as other names, nicknames, pronouns, and so on. As a way to solve this problem, this study proposes 'nine rules for finding a speaker indicated by speaker directives (including pronouns)': location, distance, pronouns, preparatory subject/preparatory object, quotations, number of speakers, non-characters directives, word compound form, dispersion of speaker names. In order to utilize characters within a literary text as virtual ones, the learning text must be presented in a machine-comprehensible way. We expect that the rules suggested in this study will reduce trial and error that may occur when using literary texts for machine learning, and enable smooth learning to produce qualitatively excellent learning results.

• The Journal of the Korea Contents Association
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• v.18 no.8
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• pp.157-165
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• 2018

The purpose of this study is to investigate the effectiveness of general use of English literary works. It will be helpful for both general English learners and college students majoring English Education in ESL or EFL context. English literature is very useful pedagogical tool in the language class due to its unique valuable characteristics including authenticity, cultural and linguistic value, and personal enrichment, which impact on fostering English ability of EFL students. For this reason, it is unavoidable to develop a theory and practice regarding using English literature as an educational resource for college students in Korea. In this study several considerations will be discussed in terms of selection of the literary works to be applied for language learning purpose in the classrooms of universities in Korea. Such attentions will include fours skills of English such as reading, writing, listening and speaking. Finally, some effects and implications of using literary text as a pedagogical tool in the EFL language classrooms will be discussed.

• River and Culture
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• v.4 no.3
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• pp.74-85
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• 2008