• 정보처리학회논문지B
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• 제13B권1호
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• pp.71-76
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• 2006

기계번역에서 올바른 번역 문장을 구성하기 위해서는 원시 문장의 의미를 올바르게 표현하면서 자연스러운 목적 문장을 구성하는 번역어를 선택해야 한다. 본 논문에서는 '단어-의미 의미-단어' 관계, 즉 원시언어의 한 단어는 하나 이상의 의미를 가지고 각 의미는 각기 다른 목적언어 단어로 표현된다는 점에 기반하여, 원시 단어의 의미 분별과 목적 단어 선택을 결합하여 번역어를 선택하는 방식을 제안한다. 기존의 번역방식은 원시 단어에 대한 목적단어를 직접 선택하는 '단어-단어' 관계에 기반하고 있기 때문에, 원시언어를 목적 언어로 직접 대응시키기 위한 지식을 필요로 하여 지식 획득에 어려움이 있었다. 본 논문의 방식에서는 원시 단어의 의미 분별과 목적 언어의 단어 선택의 결합을 통해 번역어를 선택함으로써, 손쉽게 획득할 수 있는 원시 언어와 목적 언어 각각의 지식원에서 번역어 선택을 위한 지식을 자동으로 추출할 수 있다. 또한 원시 언어의 의미와 목적 언어의 쓰임새를 모두 반영하여 충실도와 이해도를 모두 만족시키는 보다 정확한 번역어를 선택할 수 있다.

• 정보과학회 컴퓨팅의 실제 논문지
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• 제23권4호
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• pp.226-231
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• 2017

단어 표현은 기계학습을 사용하는 자연어 처리 분야에서 중요하다. 단어 표현은 단어를 텍스트가 아닌 컴퓨터가 분별할 수 있는 심볼로 표현하는 방법이다. 기존 단어 임베딩은 대량의 말뭉치를 이용하여 문장에서 학습할 단어의 주변 단어를 이용하여 학습한다. 하지만 말뭉치 기반의 단어 임베딩은 단어의 등장 빈도수나 학습할 단어의 수를 늘리기 위해서는 많은 양의 말뭉치를 필요로 한다. 본 논문에서는 말뭉치 기반이 아닌 단어의 뜻풀이와 단어의 의미 관계(상위어, 반의어)를 이용하며 기존 Word2Vec의 Skip-Gram을 변형한 자질거울모델을 사용하여 단어를 벡터로 표현하는 방법을 제시한다. 기존 Word2Vec에 비해 적은 데이터로 많은 단어들을 벡터로 표현 가능하였으며 의미적으로 유사한 단어들이 비슷한 벡터를 형성하는 것을 확인할 수 있다. 그리고 반의어 관계에 있는 두 단어의 벡터가 구분되는 것을 확인할 수 있다.

• 한국멀티미디어학회논문지
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• 제25권3호
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• pp.493-501
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• 2022

This paper is a study on context-sensitive spelling error correction and uses the Korean WordNet (KorLex)[1] that defines the relationship between words as a graph to improve the performance of the correction[2] based on the vector information of the word embedded in the correction technique. The Korean WordNet replaced WordNet[3] developed at Princeton University in the United States and was additionally constructed for Korean. In order to learn a semantic network in graph form or to use it for learned vector information, it is necessary to transform it into a vector form by embedding learning. For transformation, we list the nodes (limited number) in a line format like a sentence in a graph in the form of a network before the training input. One of the learning techniques that use this strategy is Deepwalk[4]. DeepWalk is used to learn graphs between words in the Korean WordNet. The graph embedding information is used in concatenation with the word vector information of the learned language model for correction, and the final correction word is determined by the cosine distance value between the vectors. In this paper, In order to test whether the information of graph embedding affects the improvement of the performance of context- sensitive spelling error correction, a confused word pair was constructed and tested from the perspective of Word Sense Disambiguation(WSD). In the experimental results, the average correction performance of all confused word pairs was improved by 2.24% compared to the baseline correction performance.

• Journal of Information Technology Applications and Management
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• 제19권4호
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• pp.1-18
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• 2012

This paper identifies technology trends of national research and development (national R&D) by exploiting Korean national R&D patents, ranging from 2007 to 2010. In this paper, co-word analysis (CWA), which is a method to identify the relationship among technology terms by using their co-occurrences, is incorporated into network analysis to visualize the relationships among technology keywords of national R&D patents and calculate network indexes concerning inter-relationship diversity and strength of technology keywords. As a result, this research found that inter-relationship among technology keywords in national R&D are getting increasingly strengthening in an overall sense. In addition, the keyword inter-relationship diversity-strength map proposed in this paper revealed some significant technological keywords of national R&D : core technology keywords including "sensor", "film" and "fuel" and emerging keywords including "biosensor" and "thermoelectric". Because the proposed approach helps identify interdisciplinary trends of technology keywords from a massive volume of national R&D patents in a visual and quantitative way, we expect that the approach can be incorporated as a preliminary into the R&D planning process to assist R&D policy makers to understand technology convergence of national R&D and develop relevant R&D policies.

• Journal of Korea Trade
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• 제26권8호
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• pp.37-57
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• 2022

Purpose -International diplomacy is key for the cohesive economic growth of countries around the world. This study aims to identify the major topics discussed and make sense of word pairs used in sentences by Chinese senior leaders during their diplomatic visits. It also compares the differences between key topics addressed during diplomatic visits to developed and developing countries. Design/methodology - We employed three methods: word frequency, co-word, and semantic network analysis. Text data are crawling state and official visit news released by the Ministry of Foreign Affairs of the People's Republic of China regarding diplomatic visits undertaken from 2015-2019. Findings - The results show economic and diplomatic relations most prominently during state and official visits. The discussion topics were classified according to nine centrality keywords most central to the structure and had the maximum influence in China. Moreover, the results showed that China's diplomatic issues and strategies differ between developed and developing countries. The topics mentioned in developing countries were more diverse. Originality/value - Our study proposes an effective approach to identify key topics in Chinese diplomatic talks with other countries. Moreover, it shows that discussion topics differ for developed and developing countries. The findings of this research can help researchers conduct empirical studies on diplomacy relationships and extend our method to other countries. Additionally, it can significantly help key policymakers gain insights into negotiations and establish a good diplomatic relationship with China.

• 복식문화연구
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• 제13권5호
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• pp.833-843
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• 2005

The purpose of this study was to investigate the characteristic of logomark in unisex casual apparel brand. For this study, first 36 unisex casual apparel brands were selected from the Dictionary of Fashion Brand, second analyzed the common word showing in them. Third, the logomark of the unisex casual apparel brand were classified into two types according to the typeface character of the logomark, there were serif typeface, sans-serif typeface. Fourth, analyzed the relationship between the typeface image of logomark and brand concept. The results of the study were following : First, the common word that used the most frequently in brand concept were investigated and the order of common word was reasonable, comfort or natural, practical, modern, traditional and basic. Second, The unisex casual apparel brand used the most frequently the sans-serif typeface that represents the images of simple, modern and active sense in the typeface of logomark. Third, the unisex apparel brands used the most frequently English as brand name among the various languages. Fourth, the unisex casual apparel brands were lanuched mostly except several of them after 1990.

• 유통과학연구
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• 제18권4호
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• pp.61-72
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• 2020

Purpose: Usage of leisure-sport social media would lengthen and strengthen the effects of positive event experiences on WOM behavior. This study is to examine the extent to which leisure sport social media use has the moderating potential to enhance the direction of the relationship between post-event emotions and event WOM behavior. Research design, data and methodology: A running event located in a major metropolitan area in the southeastern United States was selected. Participants of the running events completed the survey. Descriptive analysis and correlations between primary variables of interest were conducted. To examine interactions within the context of moderated regression, a hierarchical regression analysis was employed. Results: The results confirmed direct effects of a sense of achievement and event satisfaction on event WOM intention, supporting H 1 and H2. In specific, result revealed that the amount of time spending on social media for running content moderated the effect of a sense of achievement on event WOM intention, supporting H3, however, H4 was rejected. Conclusions: There are managerial implications of these results, particularly which pertain to how organizers may be able to use perceived benefits (i.e., a sense of achievement and satisfaction) and social media to increase positive WOM intention.

• 한국어학
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• 제78권
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• pp.31-54
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• 2018

'맞다(right)', which is inversely related to 'teullida', has a synonymic relationship with '같다(same)' depending on the sense. Naturally, the '같다' is usually inversely related to '다르다(be different)' as symmetry verb. The meaning of '다르다' is 'teullida' and there is a close meaning relationship network in the network of words. In other words, the process acting as a driver of the expansion of meanings based on the antonym-relation of (1)'틀리다${\leftrightarrow}$맞다', and the s?ynonym-relation of (2)'맞다 = 같다' forms a network, and the relation between them and the opposite semantics is (3)'같다=맞다${\leftrightarrow}$다르다'. And many of today's speakers speak (4)'teullida' of [difference]. Therefore, after the application of the synonymic analogy, eventually, the antonymic analogy is formed, and the word formed is 'teullida' of [difference]. This, of course, forms another type of enlargement of the meaning.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권1호
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• pp.260-280
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• 2020

Cyber-attacks emerge in a more intelligent way, and various security technologies are applied to respond to such attacks. Still, more and more people agree that individual response to each intelligent infringement attack has a fundamental limit. Accordingly, the cyber threat intelligence analysis technology is drawing attention in analyzing the attacker group, interpreting the attack trend, and obtaining decision making information by collecting a large quantity of cyber-attack information and performing relation analysis. In this study, we proposed relation analysis factors and developed a system for establishing cyber threat intelligence, based on malicious code as a key means of cyber-attacks. As a result of collecting more than 36 million kinds of infringement information and conducting relation analysis, various implications that cannot be obtained by simple searches were derived. We expect actionable intelligence to be established in the true sense of the word if relation analysis logic is developed later.

• 한국심리학회지 : 문화 및 사회문제
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• 제13권2호
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• pp.17-32
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• 2007

상실이란 일반적으로 개인이 가장 의미 있다고 생각하는 물건, 사람, 소유 혹은 생각을 박탈 당하는 것으로 일생에 있어 불가피한 경험이며, 특히 고령자의 특성상 이와 같은 경험에 노출될 가능성이 높다. 상실로 인한 부정적 정서, 즉 상실감은 자연스럽고 정상적인 것이지만, 이를 원활히 극복하지 못하는 경우 심리·사회적인 부적응을 겪을 수 있다. 따라서 본 연구에서는 고령자의 상실감이 어떤 요소들로 구성이 되어있는지 알아보고, 이것이 고령자의 자아통합감에 어떤 영향을 미치는지 알아보고자 하였다. 만 65세 이상의 고령자 97명을 대상으로 자료를 수집하여 분석한 결과, 상실감의 요인은 '경제적 상실', '사별 상실', '건강 상실', '관계의 상실'로 구분되었으며 이들 요인들이 전체적으로 '죽음에 대한 수용'을 제외한 나머지 자아통합감의 요인들과 부적인 상관을 보였다. 특히 '경제적 상실'로 인한 상실감은 '죽음에 대한 수용'과 '노령에 대한 수용'을 제외한 나머지 자아통합감 하위요인들에 부적인 영향을 미치고 있었으며, '건강 상실'과 '관계의 상실'도 각각 '노령에 대한 수용' 및 과거부터 현재까지를 포함하는 생에 대한 태도 및 만족도에 부적인 영향을 미치는 것으로 나타났다. 한편, 고령자 상실감 척도의 '사별 상실' 요인과 자아통합감의 '죽음에 대한 수용' 요인은 모든 분석단계에서 통계적으로 유의한 결과를 보이지 않았다.