• The Journal of Korean Medical History
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• v.21 no.2
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• pp.49-60
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• 2008

Burn is a malady that has tormented mankind for a while, and Traditional Korean Medicine techniques of treating it has constantly improved. Detailed description of treatment methods of burns are mentioned in Traditional Korean Medicine texts. To treat burns both medicines for internal and external use are needed, and appropriate first aid is necessary in the first stages. A total of eleven medical cases about burns could be found in the process of researching texts, and studying these 의안s indicated that burns were admirably cured with Korean Traditional Medicine methods of treating burns. Differences in the treatment methods between different schools could also be observed. Further research and development of Traditional Korean Medicine methods of burns is needed.

• Journal of KIISE:Software and Applications
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• v.26 no.1
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• pp.167-167
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• 1999

The majority of text categorization systems use the term-based classification method. However, because of too many terms, this method is not effective to classify the documents in areal-time environment. This paper presents a real-time concept-based text categorization system,which classifies texts using thesaurus. The system consists of a Korean morphological analyzer, athesaurus tool, and a probability-vector similarity measurer. The thesaurus tool acquires the meaningsof input terms and represents the text with not the term-vector but the concept-vector. Because theconcept-vector consists of semantic units with the small size, it makes the system enable to analyzethe text with real-time. As representing the meanings of the text, the vector supports theconcept-based classification. The probability-vector similarity measurer decides the subject of the textby calculating the vector similarity between the input text and each subject. In the experimentalresults, we show that the proposed system can effectively analyze texts with real-time and do aconcept-based classification. Moreover, the experiment informs that we must expand the thesaurustool for the better system.

• Journal of Korean Elementary Science Education
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• v.26 no.5
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• pp.535-550
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• 2007

The purpose of this study was the identifying differences between physicists' expectations and teachers' representations about the primary physics concepts in elementary schools. For this, the material subjects analyzed were the 7th curriculum, the textbooks of elementary school and the texts using at the department of physics in many universities. The primary physics concepts extracted from the texts were to be fundamental and basic. Also, they were restricted to the domain of dynamics. And besides, the human subjects were physicists, professors and students majoring physics of the graduate school, researchers of institutes or laboratories and elementary school teachers. At the result of this study showed the scholars and teachers have the different opinions.

• Annual Conference on Human and Language Technology
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• 2002.10e
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• pp.155-162
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• 2002

본고는 21세기 세종계획의 일환으로 현재 구축 중인 구문 분석 말뭉치의 분석 방안에 대한 연구이다 논의하고자 하는 내용은 첫째, 구문 분석에서의 기본 원칙과 표지의 종류 및 세부 원칙에 대한 것이다. 둘째, 이러한 구문 분석 방안을 마련하는 데 있어 심각하게 고려된 몇 가지 유형의 문제들에 관한 논의이다. 특히 이 문제들은 자연언어처리에서뿐만 아니라 이론적인 국어학의 연구에서도 매우 중요하다. 화자의 직관에 의해서라기보다는 실제 말뭉치 구축 작업을 통해서 그 실체가 확연하게 드러나는 문제들이라는 점에서 이들은 우리의 관심을 끌기에 충분하다. 본고에서는 이러한 문제들이 실제 구문 분석에서 어떻게 발생하고 어떻게 해결될 수 있는지를 보일 것이다.

• International Journal of Knowledge Content Development & Technology
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• v.3 no.2
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• pp.43-65
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• 2013

In this work, we first introduce two main approaches to writing requirements and then propose a method based on Natural Language Processing to improve requirement authoring and the overall coherence, cohesion and organization of requirement documents. We investigate the structure of requirement kernels, and then the discourse structure associated with those kernels. This will then enable the system to accurately extract requirements and their related contexts from texts (called requirement mining). Finally, we relate a first experimentation on requirement mining based on texts from seven companies. An evaluation that compares those results with manually annotated corpora of documents is given to conclude.

• Proceedings of the KSPS conference
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• 2003.05a
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• pp.87-90
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• 2003

In order to produce high quality synthesized speech, it is very important to get an accurate grapheme-to-phoneme conversion and prosody model from texts using natural language processing. Robust preprocessing for non-Korean characters should also be required. In this paper, we analyzed Korean texts using a morphological analyzer, part-of-speech tagger and syntactic chunker. We present a new grapheme-to-phoneme conversion method, i.e. a dictionary-based and rule-based hybrid method, for unlimited vocabulary Korean TTS. We constructed a prosody model using a probabilistic method and decision tree-based method.

• Journal of Korean Medical classics
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• v.20 no.1
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• pp.1-10
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• 2007

"The Essence of the Synopsis of the Golden Chamber" is an annotated book on the "Synopsis of the Golden Chamber" written by You-Yi(尤怡) of the Qing Dynasty (1729). Chapter 3 of this annotated book contains explanations of BaiheDisease(百合病). You-Yi(尤怡) maintained that the cause of Baihe-Disease(百合病) is a deficient-type fever(虛熱) induced by lung-fluid deficiency(肺陰不足). Generally, a higher fever led to a worse prognosis, and this disease was mainly treated by supplement methods(補法). In his pharmacological explanations, You-Yi(尤怡) often used the analogical inference of the five evolutive phases(五行歸類), and he frequently quoted "The Yellow Emperor's Canon of Internal Medicine(黃帝內經)" and "The Medical Secret of an Official(外臺秘要)" to explain the texts.

• Journal of Information Processing Systems
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• v.4 no.1
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• pp.17-26
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• 2008

This research proposes a new strategy where documents are encoded into string vectors and modified version of KNN to be adaptable to string vectors for text categorization. Traditionally, when KNN are used for pattern classification, raw data should be encoded into numerical vectors. This encoding may be difficult, depending on a given application area of pattern classification. For example, in text categorization, encoding full texts given as raw data into numerical vectors leads to two main problems: huge dimensionality and sparse distribution. In this research, we encode full texts into string vectors, and modify the supervised learning algorithms adaptable to string vectors for text categorization.

• Genomics & Informatics
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• v.16 no.4
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• pp.40.1-40.3
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• 2018

There is a communal need for an annotated corpus consisting of the full texts of biomedical journal articles. In response to community needs, a prototype version of the full-text corpus of Genomics & Informatics, called GNI version 1.0, has recently been published, with 499 annotated full-text articles available as a corpus resource. However, GNI needs to be updated, as the texts were shallow-parsed and annotated with several existing parsers. I list issues associated with upgrading annotations and give an opinion on the methodology for developing the next version of the GNI corpus, based on a semi-automatic strategy for more linguistically rich corpus annotation.

• Acta Via Serica
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• v.5 no.1
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• pp.87-120
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• 2020

This article introduces the texts of Manchu shamanistic prayers recorded in a manuscript by Sergei A. Polevoi, a Russian and an American Sinologist from the first part of the twentieth century. The Manchu original text of these prayers (but not the Polevoi's variant) was recently published by Ye (2018), which, however lacks detailed linguistic analysis. Polevoi's texts are in the slightly outdated romanization of Manchu with no linguistic analysis, translation, and commentary that are provided below by the author. While this publication will be of minor interest to the specialists on Manchu shamanism, it would be important to linguists specializing in the Manchu and Tungusic languages and philology, as the text reflects in all probability the eighteenth century Manchu preserved in romanization, and, therefore priceless for the linguistic analysis.