• 대한한의학원전학회지
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• 제26권2호
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• pp.121-132
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• 2013

Objective : Bambusae Caulis in Liquamen has been used by East Asian doctors who approved efficient clinical effects of it since the early stage of medical history. It is commonly used for lifestyle related diseases including stroke in recent days thanks to the increasing number of manufacturers. However, products from pharmaceutical companies as well as food companies are not classified as Bambusae Caulis in Liquamen but Bamboo vinegar. This study aims to discern disparate manufacturing process. Methods : In this study, original texts were searched to corroborate the correct method to produce Bambusae Caulis in Liquamen. It is essential to inspect the original texts thoroughly in the course of modernizing traditional knowledge. Result : Discrimination between the two substances starts from manufacturing process; Bambusae Caulis in Liquamen is made under the temperature of less then $170^{\circ}C$, containing mild fragrance and sweet taste, and the Bamboo vinegar over $170^{\circ}C$ upto $400^{\circ}C$, carrying strong smoky scent and acidness. Although some researches show conforming clinical actions of both products, still there is a possibility that closer clinical study would reveal their discrepancy. Conclusion : Current use of Bambusae vinegar needs speculation. Authenticity in proper manufacturing process can be attained through passed-on medical texts.

• 영어어문교육
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• 제15권3호
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• pp.151-170
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• 2009

Recently speech texts have been increasingly used for English education because of their various advantages as language teaching and learning materials. The purpose of this paper is to analyze speech texts in a corpus-based lexical approach, and suggest some productive methods which utilize English speaking or writing as the main resource for the course, along with introducing the actual classroom adaptations. First, this study shows that a speech corpus has some unique features such as different selections of pronouns, nouns, and lexical chunks in comparison to a general corpus. Next, from a collocational perspective, the study demonstrates that the speech corpus consists of a wide variety of collocations and lexical chunks which a number of linguists describe (Lewis, 1997; McCarthy, 1990; Willis, 1990). In other words, the speech corpus suggests that speech texts not only have considerable lexical potential that could be exploited to facilitate chunk-learning, but also that learners are not very likely to unlock this potential autonomously. Based on this result, teachers can develop a learners' corpus and use it by chunking the speech text. This new approach of adapting speech samples as important materials for college students' speaking or writing ability should be implemented as shown in samplers. Finally, to foster learner's productive skills more communicatively, a few practical suggestions are made such as chunking and windowing chunks of speech and presentation, and the pedagogical implications are discussed.

• 건축역사연구
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• 제21권6호
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• pp.45-52
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• 2012

"Ohju Yeonmun Jangjeon Sango" written by Lee, Gyu-gyeng is one of the most important encyclopedias in the period of Chosun-Dynasty. There are two chapters related to architecture in this book, one is "ancestral rite governance·human"chapter, and the other is "architecture·human" chapter. Both of them are hard to understand because they are written in ancient Chinese and consist of various quotations in ambiguous way. This paper as a partial study is deal with the former. It makes difference between writter's original texts and quotations through textual research, and translates to modern Korean, and analyze information about ancient architecture in texts. The texts can divide to three sections. The first introduces three Chinese architectural theory books as "Gogonggi(考工記)", "Yeongjo Beopsik(營造法式)" and "Mokgyeng(木經)", and mentions about the prototype of the royal ancestral ritual building in "Gogonggi Toju(考工記圖注)". The second quotes "Seoyeong(書影)" to introduce "Yeongjo Beopsik". The third quotes "PaePyeon(稗編)" to introduce "Yeongjo Beopsik" and "Mokgyeng", and mentions about the counting unit of columns of the royal ancestral ritual building. Although the purpose for these quotations is not directly mentioned, but we can find it is intended to explain the architectural prototype and lay-out of the royal ancestral ritual building.

• 영어어문교육
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• 제10권3호
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• pp.89-112
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• 2004

This article examines the ways in which language can be exploited in the manipulation of the reader's interpretation of a text to make him/her take certain lines of thought according to the writer's persuasive intents. Such functions of language provide valid foundations to support the teaching of critical reading skills and to explore an adequate approach to discourse analysis. A pilot study was conducted to find out the extent to which the reader can be coaxed into thinking in some fashions guided by specific linguistic devices employed for ideological texts. Forty-seven subjects divided into two groups (humanities majors and natural science majors at undergraduate level) joined the two-fold questionnaire surveys intended to look at their critical reading abilities. The empirical results indicate that college students whose majors are humanities were more inclined to take a holistic approach in processing commercial advertisement texts and their abilities for critical interpretation appeared to be lower than those of the subjects whose majors are natural sciences, who showed a relatively high tendency to take an analytical approach in decoding the textual facts. As a consequence, pedagogic implications for increasing critical reading abilities have resulted in a set of analytical procedures concerning ideological texts which is linked with instructional guidelines to emphasize the importance of the reader's logical and analytical reasoning power, entirely accepted as a general prerequisite for cracking the covert language gambits.

• 대한수학교육학회지:수학교육학연구
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• 제20권4호
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• pp.529-546
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• 2010

이 연구의 목적은 닮음 개념의 변천 과정에 대한 수학사 고찰을 바탕으로, 현재 수학 교과서에 나타난 닮음 정의를 분석하고 비판하는 것이다. 우선, 피타고라스학파의 닮음 정의, Euclid ${\ll}$원론${\gg}$의 닮음 정의, Clairaut의 ${\ll}$기하학원론${\gg}$의 닮음 정의, Birkhoff와 Beatly의 ${\ll}$기초기하학${\gg}$, SMSG의 ${\ll}$기하학${\gg}$의 닮음 정의를 분석하고, 현재 수학 교과서에 제시된 닮음 정의를 분석하였다. 수학사 고찰 결과를 바탕으로 교과서의 닮음 정의를 세 가지 측면에서 비판적으로 논의하고, 확인된 문제점에 대한 교육적 제언을 하였다.

• 한국초등과학교육학회지:초등과학교육
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• 제33권3호
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• pp.549-557
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• 2014

In this study, the readability of the texts in the third and the sixth grade science textbooks developed under the 2007 revised science curriculum were analyzed in terms of word and sentence units. In the word unit analyses, the levels of the words in the texts were classified into four categories, 1st to 4th levels. In the sentence unit analyses, the sentences in the texts were classified either a simple sentence or compound/complex sentences, and the average length of the sentences was also calculated. The results indicated that more than 90 percents of the words in the 2007 revised science textbooks were classified as the 1st to the 3rd levels. However, both the kinds and the frequencies of the words in the 2007 revised science textbooks were increased in comparison of those in the 7th science textbooks. In particular, it was found that the increasement in the 3rd grade science textbook was noticeable. The ratio of the compound/complex sentences in the 2007 revised science textbooks were increased in comparison of those in the 7th science textbooks. The average length of the sentences in the 2007 revised science textbooks was also increased.

• 대한한의학원전학회지
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• 제32권3호
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• pp.47-57
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• 2019

Objectives : We aim to assist in choosing an appropriate method for word extraction when analyzing East Asian Traditional Medical texts based on unsupervised learning. Methods : In order to assign ranks to substrings, we conducted a test using one method(BE:Branching Entropy) for exterior boundary value, three methods(CS:cohesion score, TS:t-score, SL:simple-ll) for interior boundary value, and six methods(BExSL, BExTS, BExCS, CSxTS, CSxSL, TSxSL) from combining them. Results : When Miss Rate(MR) was used as the criterion, the error was minimal when the TS and SL were used together, while the error was maximum when CS was used alone. When number of segmented texts was applied as weight value, the results were the best in the case of SL, and the worst in the case of BE alone. Conclusions : Unsupervised-Learning-Based Word Extraction is a method that can be used to analyze texts without a prepared set of vocabulary data. When using this method, SL or the combination of SL and TS could be considered primarily.

• 한국의사학회지
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• 제32권1호
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• pp.1-10
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• 2019

The Taesangugeupbang (Emergency Prescriptions for Childbirth) is a medical text written by Li-Chengong of China in the early 14th century. It incorporates forms of obstetrics and gynecology in use in the Chosun Dynasty and is quoted in the Hyangyakjibsungbang (Compendium of Prescription from the Countryside), the Euibangyoochui (Classified Collection of Medical Prescriptions), and the Taesanjibyo (Collection of Essentials for Childbirth). The recent rediscovery of Taesangugeupbang manuscripts in Japan has enabled full-scale research of this text. This article is based on a study of these manuscripts and attempts to synthesize the text through the various documents. The article suggests that: (1) critical texts for understanding the Taesangugeupbang include the Uijeoggo (A Review of Medical Books), the Euibangyoochui, and the Taesanjibyo; (2) there is a possibility that the Taesangugeupbang had disappeared from use in Joseon by the late 15th century; (3) the Taesangugeupbang complemented the treatment regimen of other texts and influenced the development of early Chosun ophthalmology; (4) The Taesangugeupbang is quoted in many Joseon's medical texts and is related to the author's mentor.

• 비교문화연구
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• 제29권
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• pp.201-232
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• 2012

In the world history in the rein of totalitarianism cultural project of government had been activated, and consequently of it official culture had been organized. But at the same time on the other side of it people('narod'), who didn't have cultural means for active expression of own opinion on the reality, had expressed world-view and judgement informally in everyday language. In the literature of autocracy, subjected to censorship, had been expressed and fixed mythically idealized image of sovereign and his works. But in the folklore the image of ruler had been created by liberal fantasy of people. This article examined russian literature and folklore texts of 18 century, when russian people suffered from rapid and dramatic changes, caused by Peter I. Although russian literature of 18 century had gone over to the new literary regime, it still accepted political mechanism as dominant of age, and consequently in the literary texts of this century Peter I was represented as ideal person and great monarch. But various images in folklore texts show that people's opinion on ruler and his activities couldn't be controlled. In other worlds, diverse images of Peter I in folklore texts reflect clear and plain historical consciousness of people. This analysis reveals not only difference between mechanism of idealization of government and historical consciousness of people, but also meaning of cultural memory as indicator of historical reality.

• Genomics & Informatics
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• 제17권2호
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• pp.15.1-15.7
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• 2019

Automatically detecting mentions of pharmaceutical drugs and chemical substances is key for the subsequent extraction of relations of chemicals with other biomedical entities such as genes, proteins, diseases, adverse reactions or symptoms. The identification of drug mentions is also a prior step for complex event types such as drug dosage recognition, duration of medical treatments or drug repurposing. Formally, this task is known as named entity recognition (NER), meaning automatically identifying mentions of predefined entities of interest in running text. In the domain of medical texts, for chemical entity recognition (CER), techniques based on hand-crafted rules and graph-based models can provide adequate performance. In the recent years, the field of natural language processing has mainly pivoted to deep learning and state-of-the-art results for most tasks involving natural language are usually obtained with artificial neural networks. Competitive resources for drug name recognition in English medical texts are already available and heavily used, while for other languages such as Spanish these tools, although clearly needed were missing. In this work, we adapt an existing neural NER system, NeuroNER, to the particular domain of Spanish clinical case texts, and extend the neural network to be able to take into account additional features apart from the plain text. NeuroNER can be considered a competitive baseline system for Spanish drug and CER promoted by the Spanish national plan for the advancement of language technologies (Plan TL).