• Title/Summary/Keyword: 언어TEXT

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A Text Linguistic Approach to the Chapter Hoyeonjigi of Mencius ("맹자" "호연지기 장"의 텍스트언어학적 접근)

  • 이석규
    • Lingua Humanitatis
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    • v.5
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    • pp.127-163
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    • 2003

  • This thesis analyzes the Chapter "Hoyeonjigi(浩然之氣)" of Mencius(孟子), using text linguistics theory and reading theory of Korean. In this process the model of macro-structure #1∼5 are presented, according to Vandijk′s rules of macro-structure; Auslassen, Selektierne, Generalisieren, Konstruieren odor Integrieren. As a result, this certifies; First, macro-structure could make arbitrarily a several steps of macro-structure by types of text or purpose of analysis. Second, macro-structure applies various cognitive mechanisms of outer world as well as inner world. Third, a text with profound symbolism could be figured as a two-or threefolded symbolic structure. At the same time, macro-structure enables the clearer analysis of the content of the Chapter to verify the following; first, Hoyeinjigi itself is the best measure of developing "Imperturbable Mind(不動心)" Second, benevolence-righteousness(仁義) and wisdom(智) would be reached by cultivating Hoyeonjigi. Third, Mencius′ own view of language is well expressed in "Jieon(知言)", which is not only a condition for Imperturbable Mind, but also the Oriental view of language focused especially on listening in terms of language usage, not language analysis. This Mencius′ view of language has a thread connection with that of Oriental′s.

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Corpus Annotation for the Linguistic Analysis of Reference Relations between Event and Spatial Expressions in Text (텍스트 내 사건-공간 표현 간 참조 관계 분석을 위한 말뭉치 주석)

  • Chung, Jin-Woo;Lee, Hee-Jin;Park, Jong C.
    • Language and Information
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    • v.18 no.2
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    • pp.141-168
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    • 2014

  • Recognizing spatial information associated with events expressed in natural language text is essential not only for the interpretation of such events and but also for the understanding of the relations among them. However, spatial information is rarely mentioned as compared to events and the association between event and spatial expressions is also highly implicit in a text. This would make it difficult to automate the extraction of spatial information associated with events from the text. In this paper, we give a linguistic analysis of how spatial expressions are associated with event expressions in a text. We first present issues in annotating narrative texts with reference relations between event and spatial expressions, and then discuss surface-level linguistic characteristics of such relations based on the annotated corpus to give a helpful insight into developing an automated recognition method.

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A Model to Automatically Generate Non-verbal Expression Information for Korean Utterance Sentence (한국어 발화 문장에 대한 비언어 표현 정보를 자동으로 생성하는 모델)

  • Jaeyoon Kim;Jinyea Jang;San Kim;Minyoung Jung;Hyunwook Kang;Saim Shin
    • Annual Conference on Human and Language Technology
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    • 2023.10a
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    • pp.91-94
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    • 2023

  • 자연스러운 상호작용이 가능한 인공지능 에이전트를 개발하기 위해서는 언어적 표현뿐 아니라, 비언어적 표현 또한 고려되어야 한다. 본 논문에서는 한국어 발화문으로부터 비언어적 표현인 모션을 생성하는 연구를 소개한다. 유튜브 영상으로부터 데이터셋을 구축하고, Text to Motion의 기존 모델인 T2M-GPT와 이종 모달리티 데이터를 연계 학습한 VL-KE-T5의 언어 인코더를 활용하여 구현한 모델로 실험을 진행하였다. 실험 결과, 한국어 발화 텍스트에 대해 생성된 모션 표현은 FID 스코어 0.11의 성능으로 나타났으며, 한국어 발화 정보 기반 비언어 표현 정보 생성의 가능성을 보여주었다.

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