• Title/Summary/Keyword: 번역어

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An Investigation on the Problem in the Local Names of Myrtus communis (도금양나무(Myrtus communis)의 명칭문제 고찰)

  • Kim, Young-Sook;Ahn, Gye-Bog
    • Journal of the Korean Institute of Traditional Landscape Architecture
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    • v.35 no.2
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    • pp.69-76
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    • 2017
  • The following summarizes the findings from an analysis of literature and 21 versions of the Bible published in Korea, China, and Japan to discuss the name of Myrtus communis. Myrtus communis was an important tree symbolizing love and resurrection since the Ancient Mesopotamia, Egypt, Judas, Greece, Ancient Rome, and Medieval Spain. In the Bible, Myrtus ($h{\acute{a}}das$) was used to make the booths at the Feast of Tabernacles or for various ceremonies. Myrtus symbolized the people of Israel and also symbolized peace, appreciation, indestructibility, and resurrection. In the Bible of Korea, China, and Japan, Myrtus was translated into various names by time, such as '崗拈樹', '千里香', '鳥拈', '番石榴', 桃金孃, Gamtangnamu, Seoglyunamu, Hwaseoglyu, Sogwinamu. 'Myrtle' was translated into '桃金孃' based on Japan's "熟語本位 英和中?典(1915)" and it seems that the mistake was directly excerpted by the English-Korean Dictionary(1949) after the Liberation. According to the theory of 'Dynamic Equivalence' in translation, it would be best to use 'Myrtus' was the official name of Myrtus communis.

A Study on Semi-Automatic Construction of Verb Patterns for a Korean-Chinese MT System (한중 기계번역 시스템을 위한 동사구 패턴 반자동 확장 방안 연구)

  • Hong, Mun-Pyo;Ryu, Cheol;Kim, Young-Kil;Park, Sang-Kyu
    • Annual Conference on Human and Language Technology
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    • 2003.10d
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    • pp.273-278
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    • 2003
  • 본 논문에서는 한-중 기계번역 시스템에서 사용되는 한중 동사구 패턴의 반자동 생성을 위한 방법론을 제안한다. 한중 동사구 패턴은 한국어와 중국어간의 변환을 위한 정보를 제공할 뿐만 아니라, 한국어의 구문분석과 중국어의 생성을 위해 중요한 정보를 제공하는 고급 언어자원이다. 본 논문에서 제시하는 새로운 패턴 반자동확장 방안은 기존의 한중 동사구 패턴으로부터 대역어 정보를 이용하여 새로운 동사구 패턴을 생성해내는 방법이다. 본 방법론은 시스템 개발 초기에 일반적으로 이루어지는 사전기반 패턴 구축이 끝난 후, 패턴의 커버리지 문제를 해결하기 위해 실용적으로 적용할 수 있는 방법론으로서, 한국어와 중국어 같이 활용 가능한 대역 코퍼스가 아직 많지 않은 경우에 효과적이다. 본 논문에서 제시한 방법론은 실험 결과 67.15%의 정확률과 4.58배의 패턴 확장률을 나타냈다.

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Knowledge-poor Term Translation using Common Base Axis with application to Korean-English Cross-Language Information Retrieval (과도한 지식을 요구하지 않는 공통기반축에 의한 용어 번역과 한영 교차정보검색에의 응용)

  • 최용석;최기선
    • Korean Journal of Cognitive Science
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    • v.14 no.1
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    • pp.29-40
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    • 2003
  • Cross-Language Information Retrieval (CLIR) deals with the documents in various languages by one language query. A user who uses one language can retrieve the documents in another language through CLIR system. In CLIR, query translation method is known to be more efficient. For the better performance of query translation, we need more resources like dictionary, ontology, and parallel/comparable corpus but usually not available. This paper proposes a new concept called the Common Base Axis which is adapted to Korean-English Query translation ann a new weighting method in dictionary based query translation. The essential idea is that we can express Korean and English word in one vector space by Common Base Axis and use it in calculating sense distance for query weighting. The experiments show that Common Base Axis gives us good performance without ontology and is especially good for one word query translation.

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Performance Improvement by Cluster Analysis in Korean-English and Japanese-English Cross-Language Information Retrieval (한국어-영어/일본어-영어 교차언어정보검색에서 클러스터 분석을 통한 성능 향상)

  • Lee, Kyung-Soon
    • The KIPS Transactions:PartB
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    • v.11B no.2
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    • pp.233-240
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    • 2004
  • This paper presents a method to implicitly resolve ambiguities using dynamic incremental clustering in Korean-to-English and Japanese-to-English cross-language information retrieval (CLIR). The main objective of this paper shows that document clusters can effectively resolve the ambiguities tremendously increased in translated queries as well as take into account the context of all the terms in a document. In the framework we propose, a query in Korean/Japanese is first translated into English by looking up bilingual dictionaries, then documents are retrieved for the translated query terms based on the vector space retrieval model or the probabilistic retrieval model. For the top-ranked retrieved documents, query-oriented document clusters are incrementally created and the weight of each retrieved document is re-calculated by using the clusters. In the experiment based on TREC test collection, our method achieved 39.41% and 36.79% improvement for translated queries without ambiguity resolution in Korean-to-English CLIR, and 17.89% and 30.46% improvements in Japanese-to-English CLIR, on the vector space retrieval and on the probabilistic retrieval, respectively. Our method achieved 12.30% improvements for all translation queries, compared with blind feedback in Korean-to-English CLIR. These results indicate that cluster analysis help to resolve ambiguity.

Deep learning-based Multilingual Sentimental Analysis using English Review Data (영어 리뷰데이터를 이용한 딥러닝 기반 다국어 감성분석)

  • Sung, Jae-Kyung;Kim, Yung Bok;Kim, Yong-Guk
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.3
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    • pp.9-15
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    • 2019
  • Large global online shopping malls, such as Amazon, offer services in English or in the language of a country when their products are sold. Since many customers purchase products based on the product reviews, the shopping malls actively utilize the sentimental analysis technique in judging preference of each product using the large amount of review data that the customer has written. And the result of such analysis can be used for the marketing to look the potential shoppers. However, it is difficult to apply this English-based semantic analysis system to different languages used around the world. In this study, more than 500,000 data from Amazon fine food reviews was used for training a deep learning based system. First, sentiment analysis evaluation experiments were carried out with three models of English test data. Secondly, the same data was translated into seven languages (Korean, Japanese, Chinese, Vietnamese, French, German and English) and then the similar experiments were done. The result suggests that although the accuracy of the sentimental analysis was 2.77% lower than the average of the seven countries (91.59%) compared to the English (94.35%), it is believed that the results of the experiment can be used for practical applications.

Enhancing Performance of Bilingual Lexicon Extraction through Refinement of Pivot-Context Vectors (중간언어 문맥벡터의 정제를 통한 이중언어 사전 구축의 성능개선)

  • Kwon, Hong-Seok;Seo, Hyung-Won;Kim, Jae-Hoon
    • Journal of KIISE:Software and Applications
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    • v.41 no.7
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    • pp.492-500
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    • 2014
  • This paper presents the performance enhancement of automatic bilingual lexicon extraction by using refinement of pivot-context vectors under the standard pivot-based approach, which is very effective method for less-resource language pairs. In this paper, we gradually improve the performance through two different refinements of pivot-context vectors: One is to filter out unhelpful elements of the pivot-context vectors and to revise the values of the vectors through bidirectional translation probabilities estimated by Anymalign and another one is to remove non-noun elements from the original vectors. In this paper, experiments have been conducted on two different language pairs that are bi-directional Korean-Spanish and Korean-French, respectively. The experimental results have demonstrated that our method for high-frequency words shows at least 48.5% at the top 1 and up to 88.5% at the top 20 and for the low-frequency words at least 43.3% at the top 1 and up to 48.9% at the top 20.

The Problem of word-for-word Translating English Thesaurus Terms into Korean (영.한 대역 시소러스의 문제점에 관한 연구)

  • Oh, Jae-Ik
    • Journal of Information Management
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    • v.28 no.3
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    • pp.46-73
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    • 1997
  • In these days, there are many studies to improve the effectiveness of retrieval systems. One method is to use thesaurus in the systems. But the establishment of the saurus independently is very difficult and requiers a great deal of time and labor. The goal of this research is to examine which problems there are. The texts used in the thesis were "Thesaurus of ERIC descriptors(7th ed.1977)" and "KEID Thesaurus(1981)" established by translation. The results of the thesis were as follows, First, there were many differences of equivalence classes of terms between English and Korean. Second, the errors of translation made words inadequate to use as a descriptors. Third, because of differences of traditions, thought and culture, associative relationship and hierarchical relation did not coincide between terns, Fourth, because the terms of the thesaurus of ERIC descriptors serve Western usages, the terms used in Korea were not or insufficient. So it way necessary to add our own therms. As mentioned above, translating a thesaurus for use as a documentation language for indexing and retrieval is not the optimum way of building up a thesaurus.

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The Usage of the Vulgate Bible in the European Catholicism: from the Council of Trent until the Second Council of Vatican (유럽 천주교의 불가타 성경 사용 양상: 트렌토 공의회 이후부터 2차 바티칸 공의회 이전까지)

  • CHO, Hyeon Beom
    • The Critical Review of Religion and Culture
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    • no.32
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    • pp.257-287
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    • 2017
  • It seems to be quite an ambitious endeavor to trace back the translation history of Catholic Vulgate Bible from Latin language to Asian languages since 16th century. I try to bring out the translation(translative) procedure of Latin Bible to the Chinese Version, which is eventually come up (and the latter)to the Korean Version. It has been supported and funded by the National Research Foundation of Korea. This task has a three-year plan. For the first step(operation), I examined and searched the European situation of the Vulgate Bible in the Catholic Church, i.e. the ritual use of Vulgate Bible in the Mass and the religious retreat. The liturgical texts, to begin with, were analysed to disclose how the Vulgate Bible was reflected in them. The Lectionary and the Evangeliary were the typical ones. The structure or the formation system of the Lectionaries for Mass was based on the liturgical year cycle. From this point, the Vulgate Bible was rooted in the religious life of European Catholics after the Council of Trent which had proclaimed the Vulgate to be authentic source of the Revelation, therefore, to be respected as the only authoritative Bible. How did the Catholic Church use the Vulgate Bible out of the context and the boundary (sphere) of liturgy? The Meditation guide books for the purpose of instructing the religious retreat was published and (diffused) circulated among the priests, the religious persons and even the laymen. In those books also were included (found) the citation, the interpretation and the commentaries of the Vulgate Bible. The most of the devotees in Europe read the biblical phrases out of the meditation guide books. There are still remained the unsolved problems of how to understand (for understanding) the actual aspect of the Vulgate Bible in the European Catholic Church. All the Biblical verses were translated into French and included in the meditation guide books published in France. What did the Holy See think the French translation of the Vulgate Bible? Unfortunately, there were not found the Vatican Decrees about the European translation of the Vulgate Bible. The relationship between the Vulgate Bible and the Meditation guide (Those) will be much important for the study of Chinese translation of it. The search for the Decrees and the researches on it and the European and the non-European translations of the Vulgate Bible will be a continuous task for me as well as the other researchers on these subjects in the future.

English-Korean Cross-lingual Link Discovery Using Link Probability and Named Entity Recognition (링크확률과 개체명 인식을 이용한 영-한 교차언어 링크 탐색)

  • Kang, Shin-Jae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.23 no.3
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    • pp.191-195
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    • 2013
  • This paper proposes an automatic method for discovering cross-lingual links from English Wikipedia documents to Korean ones in order to increase connectivity among vast web resources. Compared to the existing methods roughly estimating link probability of phrases, candidate anchors are selected from English documents by using various information such as title lists and linking probability extracted from Wikipedia dumps and the results of named-entity recognition, and the anchors are translated into Korean words, and then the most suitable Korean documents with the words are selected as cross-lingual links. The experimental results showed 0.375 of MAP.

Development of Japanese to Korean Machine Translation System ATOM Using Personal Computer II - Syntactic/Semantic Analysis and Generation Process - (PC를 이용한 일$\cdot$한 번역 시스템 ATOM의 개발에 관한 연구 ( II ) - 구문해석과 생성과 정을 중심으로 -)

  • Kim, Young-Sum;Kim, Han-Woo;Choi, Byung-Uk
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.25 no.10
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    • pp.1193-1201
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    • 1988
  • In this paper, we describe the syntactic and semantic parsing methods which use the case frames. The case structures based on obligatory cases of verbs. And, we use a small set of partial-garammar rules based on simple sentence to represent such case structures. Also, we enhance the efficiency by constructing independent procedure for particle classification and ambiguity resolution of major particle considering the importance of Japanese particle process in the generation. And we construct the generation table considering the combination possibility between the verbs and auxiliary verbs for processing the termination phrase. Therefore we can generate more natural translated sentence according to unique decision with information of syntactic analysis and simplify the generating process.

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