• Journal of Korea Multimedia Society
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• v.7 no.7
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• pp.998-1008
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• 2004

There are many syntactic similarities between Japanese and Korean languages. Using these similarities, we can make out the Japanese-Korean translation system without most of syntactic analysis and semantic analysis. To improve the translation rates greatly, we have been developing the Japanese-Korean translation system using these similarities from several years ago. However, the system remains some problems such as a translation of inflected words, processing of multi-translatable words and so on. In this paper, we suggest the new method of Japanese-Korean translation by using relations of two neighboring words. To solve the problems, we investigated the connection rules of auxiliary verbs priority. And we design the translation table which is consists of entry tables and connection forms tables. A case of only one translation word, we can translate a Korean to Japanese by direct matching method use of only entry table, otherwise we have to evaluate the connection value by connection forms tables and then we can select the best translation word.

• The Research Journal of the Costume Culture
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• v.3 no.2
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• pp.201-214
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• 1995

The purpose of this study was to identify the key features of Sokol(蘇骨) and Kolso(骨蘇) and to determined the relation between sokol and kolso. A Comparative linguistical method was used for the analysis of this resarch. Also, sokol(蘇骨) and julpoong(折風) were examined to determine the relationship between the sokol and the julpoong. Results of this study indicated that the sokol and the kolso were identical head covering used by the nobility of Koguryo. The characteristics features of the sokol and kolso were that these tow head coverings wee made of purple ra(羅) and were decorated with gold and silver. The investigation found that the sokol and the kolso were not of Koguryo's native words. These words were derived from this neighboring words. The sokol and kolso were transliterations of neighboring words. The sokol and julpoong were different head coverings: The sokol was for the nobility while the julpoong was for a man of lowly position.

• Korean Journal of Cognitive Science
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• v.15 no.2
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• pp.33-42
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• 2004

There are many syntactic similarities between Japanese and Korean language. These similarities enable us to build Japanese-Korean translation systems without depending cm sophisticated syntactic analysis and semantic analysis. To further improve translation accuracy, we have been developing a Japanese-Korean translation system using these similarities for several years. However, there still remain some problems with regard to translation of inflected words, processing of multi-translatable words and so on. In this paper, we propose a new method for Japanese-Koran machine translation by using the relationships of two neighboring words. To solve the problems, we investigate the connection rules of auxiliary verb priority. And we design the translation table, which consists of entry tables and connection form tables. for unambiguous words, we can translate a Japanese word to the corresponding Korean word in terms of direct-matching method by consulting the only entry table. Otherwise we have to evaluate the connection value computed from connection form tables and then we can select the most appropriate target word.

• Analyses & Alternatives
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• v.5 no.1
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• pp.59-85
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• 2021

This study focuses on the impact of China's system on the goals and strategies of public diplomacy for its actors and actions. In other words, China, which aims to assimilate the Western political values and systems, is special in setting the goals and strategies pursued through public diplomacy. Therefore, China often uses the historical and cultural agenda that it shares mainly in order to promote public diplomacy in the neighboring countries of Northeast Asia such as Taiwan and Korea, who have different systems. This phenomenon is an important key of explaining the vulnerability of China's public diplomacy in the face of political and security insecurity. Also, because of China's authoritarian politics and national-social relations, China can pursue efficient public diplomacy. On the other hand, however, such phenomenon provides an answer to why China's public diplomacy is not an effective buffer in the face of political and security conflicts with neighboring countries. Based on this framework, this study seeks to find answers to Why is China's public diplomacy not strong enough to ease political and security conflicts with neighboring countries?

• Journal of the Korean Society of Costume
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• v.38
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• pp.17-29
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• 1998

The purpose of this paper is to explore a new methodology for the historiography of Korean cos-tumes. In particular, I focus on the possibility for systematic, historical methods appropriate for the history of Korean costumes. First, I characterize the general historiography of costumes as involving two aspects-one as the social science and the other as historical science(Geschichteswissenschaft). My contention is that any historical study of costume should be established on the intersection of social and historical studies, and their entangling relations with many a neighboring field of sciences. It requires in other words, an interdisciplinary approach that combines various methodologies of social sciences as well as those of history. Second, I present an overall review of the historical methodology with a special emphasis on the“Quellenkunde”of orthodox historiography. Building on the review, third, I pay attention to recent innovations in historical methodologies, such as“New History”that draws on history, sociology and social history, and their applicability to the history of Korean costmes. In this regards. I adress among others, the following theoretical perspectives : 1) comparioson and comparative history, 2) the formatived and paternal approaches toward the history of costume, 3) particulartiy and universality of Korean costume. I conclued that the history of Korean costumes should broaden its theoretical horizon in order to accomodate a wider range of research agenda, including costumes of neighboring cultures, while remaining sensitive to new theories and methods of the neighboring social historical sciences. For this purpose, it is emphasized that an international collaboration among researchers of the region, as well as that across the different disciplinnary boundaries, is indispensable for successful studies that can embrace diverse fields and areas.

• Journal of Information Processing Systems
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• v.18 no.5
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• pp.614-627
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• 2022

Aspect-based sentiment analysis is to discover the sentiment polarity towards an aspect from user-generated natural language. So far, most of the methods only use the implicit position information of the aspect in the context, instead of directly utilizing the position relationship between the aspect and the sentiment terms. In fact, neighboring words of the aspect terms should be given more attention than other words in the context. This paper studies the influence of different position embedding methods on the sentimental polarities of given aspects, and proposes a position embedding interactive attention network based on a long short-term memory network. Firstly, it uses the position information of the context simultaneously in the input layer and the attention layer. Secondly, it mines the importance of different context words for the aspect with the interactive attention mechanism. Finally, it generates a valid representation of the aspect and the context for sentiment classification. The model which has been posed was evaluated on the datasets of the Semantic Evaluation 2014. Compared with other baseline models, the accuracy of our model increases by about 2% on the restaurant dataset and 1% on the laptop dataset.

• The KIPS Transactions:PartB
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• v.12B no.4 s.100
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• pp.369-378
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• 2005

Document image is segmented and classified into text, picture, or table by a document layout analysis, and the words in table regions are significant for keyword spotting because they are more meaningful than the words in other regions. This paper proposes a method to extract words from table regions in document images. As word extraction from table regions is practically regarded extracting words from cell regions composing the table, it is necessary to extract the cell correctly. In the cell extraction module, table frame is extracted first by analyzing connected components, and then the intersection points are extracted from the table frame. We modify the false intersections using the correlation between the neighboring intersections, and extract the cells using the information of intersections. Text regions in the individual cells are located by using the connected components information that was obtained during the cell extraction module, and they are segmented into text lines by using projection profiles. Finally we divide the segmented lines into words using gap clustering and special symbol detection. The experiment performed on In table images that are extracted from Korean documents, and shows $99.16\%$ accuracy of word extraction.

• The Journal of the Acoustical Society of Korea
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• v.18 no.8
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• pp.3-8
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• 1999

Previous variable vocabulary speech recognition systems with context-independent acoustic modeling, could not represent the effect of neighboring phonemes. To solve this problem, we use allophone-based context-dependent acoustic model. This paper describes the method to improve acoustic model of the system effectively. Acoustic model is improved by using allophone clustering technique that uses entropy as a similarity measure and the optimal allophone model is generated by changing the number of allophones. We evaluate performance of the improved system by using Phonetically Optimized Words(POW) DB and PC commands(PC) DB. As a result, the allophone model composed of six hundreds allophones improved the recognition rate by 13% from the original context independent model m POW test DB.

• MALSORI
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• no.46
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• pp.117-126
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• 2003

This paper presents our language model adaptation for Korean spontaneous speech recognition. Korean spontaneous speech is observed various characteristics of content and style such as filled pauses, word omission, and contraction as compared with the written text corpus. Our approaches focus on improving the estimation of domain-dependent n-gram models by relevance weighting out-of-domain text data, where style is represented by n-gram based tf/sup */idf similarity. In addition to relevance weighting, we use disfluencies as Predictor to the neighboring words. The best result reduces 9.7% word error rate relatively and shows that n-gram based relevance weighting reflects style difference greatly and disfluencies are good predictor also.

• Proceedings of the IEEK Conference
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• 2009.05a
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• pp.384-386
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• 2009

This paper introduces an effectively optimized Fuzzy model identification by means of complex and nonlinear system applying PSO algorithm. In other words, we use PSO(Particle Swarm Optimization) for identification of Fuzzy model structure and parameter. PSO is an algorithm that follows a collaborative population-based search model. Each particle of swarm flies around in a multidimensional search space looking for the optimal solution. Then, Particles adjust their position according to their own and their neighboring-particles experience. This paper identifies the premise part parameters and the consequence structures that have many effects on Fuzzy system based on PSO. In the premise parts of the rules, we use triangular. Finally we evaluate the Fuzzy model that is widely used in the standard model of gas data and sew data.