• Title/Summary/Keyword: Knowledge translation

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Environment for Translation Domain Adaptation and Continuous Improvement of English-Korean Machine Translation System

  • Kim, Sung-Dong;Kim, Namyun
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.2
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    • pp.127-136
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    • 2020
  • This paper presents an environment for rule-based English-Korean machine translation system, which supports the translation domain adaptation and the continuous translation quality improvement. For the purposes, corpus is essential, from which necessary information for translation will be acquired. The environment consists of a corpus construction part and a translation knowledge extraction part. The corpus construction part crawls news articles from some newspaper sites. The extraction part builds the translation knowledge such as newly-created words, compound words, collocation information, distributional word representations, and so on. For the translation domain adaption, the corpus for the domain should be built and the translation knowledge should be constructed from the corpus. For the continuous improvement, corpus needs to be continuously expanded and the translation knowledge should be enhanced from the expanded corpus. The proposed web-based environment is expected to facilitate the tasks of domain adaptation and translation system improvement.

Design and Implementation of a Learning Organization for Autonomous Biosafety Management of Infectious Disease Laboratories by Knowledge Translation (지식확산에 의한 감염병 실험실의 자율적 생물안전관리 학습조직 설계 및 실행)

  • Shin, Haeng-Seop;Yu, Minsu
    • Journal of Environmental Health Sciences
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    • v.41 no.2
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    • pp.102-115
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    • 2015
  • Objectives: A learning organization was designed and implemented on the basis of the selection criteria and essential elements of knowledge translation theory. Methods: The learning organization was designed on the basis of biosafety harmonization criteria and risk management strategy and was implemented as the learning organization for biosafety management by the National Institute of Health, Korea Centers for Disease Control & Prevention. The effect of knowledge translation in the research institutions by evidence-based policy was verified. Results: The result of applying the knowledge translation theory involving all stakeholders showed a positive reaction in establishing and implementing biosafety management strategy and embodied risk assessment criteria and evoked sympathy with the necessity of learning and using of expert knowledge about risk assessment and risk management. All stakeholders initiated voluntarily action toward new human-network construction and communication between similar organizations. The learning organization's capability expanded the base of knowledge translation. Conclusion: These results showed that a learning organization could enhance the autonomous safety management system by diffusion of knowledge translation.

Knowledge translation in internationalization of the firms (지식 전환을 통한 기업 국제화 전략 -현대자동차 사례를 중심으로-)

  • Choi, Soon-Gwon;Jung, Jinchul;Baek, Yoon-Jung
    • Knowledge Management Research
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    • v.3 no.2
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    • pp.71-84
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    • 2002
  • Global firms have to acquire various kinds of knowledge from worldwide markets and use it strategically in local markets. Especially, the ability to learn competitive advantage of an industry leader or competing firm is a critical factor in a firm's competitiveness. The concept of knowledge transfer has been used to explain these phenomena. However, with the broadening concept of knowledge and increasing importance of interaction between firms, the perspective of knowledge transfer has reached its limits. In this study we will conceptualize the new concept of 'knowledge translation', and analyze the globalization case of Hyundai Motor Co. to improve the validity and usefulness of this perspective. The results show that knowledge translation is a critical factor of success in a firm's globalization and efficient management of the knowledge translation process enhances a firm's global competitiveness.

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Confucian Knowledge and Concepts in the Translation of Islam in China

  • KWON, SANG-WOO
    • Acta Via Serica
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    • v.4 no.1
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    • pp.111-124
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    • 2019
  • This article aims to explore how Confucian knowledge and concepts were adapted, consolidated, and negotiated in the translation of Islam in China. Translation has always played a key role in producing and disseminating knowledge across cultures and languages, but little has been discussed to identify "the intimate connection between translation and the mediation of knowledge" (Baker 2018). Drawing on the studies of Chinese Confucian scholars on Islam, such as Wang Daiyu, Liu Zhi, and Ma Dexin, this article argues that Islam in China features many aspects of Neo-Confucianism that highly appreciate secular morality resulting in Confucian Islam, and that this was rationalized based on the similarities between Confucianism and Islam, placing Islam on a par with Confucianism for indigenization.

An Analysis of the Effect of Cognitive Gaps on Purchasing Behavior Using Association Rules - Foucused on Users of Machine Translation Program (연관성규칙을 이용한 사용자의 인지차이가 구매행동에 미치는 영향 분석 - 기계번역 프로그램 사용자를 중심으로)

  • Lee, In-hye;Cho, Sung-bin
    • Journal of the Korea Management Engineers Society
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    • v.23 no.4
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    • pp.179-195
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    • 2018
  • So far, the evaluation of machine translation has used a numerical approach, but there is evidence that it is not sufficient to reflect the characteristics or behavior of machine translation users(Hutchins, 2007; Wu et al., 2016; Park et al., 2013). Therefore, this study focused on the purpose of use and purchasing behavior of machine translation users. At this time, the indirect comparison method introduced by Morgan and Hunt(1994) was used to measure cognitive gaps and analyze the purchasing behavior of users. According to the analysis of association rules using cognitive gaps, the smaller the cognitive gap, the more positive the purchase behavior. In addition, procedural knowledge derived from language knowledge is activated in situations involving responsibility, and in routine situations, procedural knowledge trained from pragmatic knowledge works.

Ranking Translation Word Selection Using a Bilingual Dictionary and WordNet

  • Kim, Kweon-Yang;Park, Se-Young
    • Journal of the Korean Institute of Intelligent Systems
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    • v.16 no.1
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    • pp.124-129
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    • 2006
  • This parer presents a method of ranking translation word selection for Korean verbs based on lexical knowledge contained in a bilingual Korean-English dictionary and WordNet that are easily obtainable knowledge resources. We focus on deciding which translation of the target word is the most appropriate using the measure of semantic relatedness through the 45 extended relations between possible translations of target word and some indicative clue words that play a role of predicate-arguments in source language text. In order to reduce the weight of application of possibly unwanted senses, we rank the possible word senses for each translation word by measuring semantic similarity between the translation word and its near synonyms. We report an average accuracy of $51\%$ with ten Korean ambiguous verbs. The evaluation suggests that our approach outperforms the default baseline performance and previous works.

Translation Disambiguation Based on 'Word-to-Sense and Sense-to-Word' Relationship (`단어-의미 의미-단어` 관계에 기반한 번역어 선택)

  • Lee Hyun-Ah
    • The KIPS Transactions:PartB
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    • v.13B no.1 s.104
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    • pp.71-76
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    • 2006
  • To obtain a correctly translated sentence in a machine translation system, we must select target words that not only reflect an appropriate meaning in a source sentence but also make a fluent sentence in a target language. This paper points out that a source language word has various senses and each sense can be mapped into multiple target words, and proposes a new translation disambiguation method based on this 'word-to-sense and sense-to-word' relationship. In my method target words are chosen through disambiguation of a source word sense and selection of a target word. Most of translation disambiguation methods are based on a 'word-to-word' relationship that means they translate a source word directly into a target wort so they require complicate knowledge sources that directly link a source words to target words, which are hard to obtain like bilingual aligned corpora. By combining two sub-problems for each language, knowledge for translation disambiguation can be automatically extracted from knowledge sources for each language that are easy to obtain. In addition, disambiguation results satisfy both fidelity and intelligibility because selected target words have correct meaning and generate naturally composed target sentences.

The Health Belief Model - Is it relevant to Korea?

  • Lee, Mi-Kyung;Colin William Binns;Kim, Kong-Hyun
    • Korean Journal of Health Education and Promotion
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    • v.2 no.1
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    • pp.1-19
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    • 2000
  • With rapid economic development, the emphasis of the public health movement in Korea has shifted towards addressing the burden of chronic disease. With this shift in direction comes a greater focus on health behaviour and the need for planning models to assist in lifestyle modification programs. The Health Belief Model (HBM), which originated in the US, has generated more research than any other theoretical approach to describe and predict the health behaviour of individuals. In recent years it has been applied in many different cultures and modifications have been suggested to accommodate different cultures. Given the centrality of language and culture, any attempts to use models of health behaviour developed in a different culture, must be studied and tested for local applicability. The paper reviews the applicability and suitability of the HBM in Korea, in the context of the Korean language and culture. The HBM has been used in Korea for almost three decades. The predictability of the HBM has varied in Korean studies as in other cultures. Overall, this literature review indicates that the HBM has been found applicable in predicting health and illness behaviours by Korean people. However if the HBM is used in a Korean context, the acquisition of health knowledge is an important consideration. Most new knowledge in the health sciences is originally published in English and less frequently in another foreign language. Most health knowledge in Korea is acquired through the media or from health professionals and its acquisition often involves translation from the original. The selection of articles for translation and the accuracy of translation into language acceptable in the Korean culture become important determinants of health knowledge. As such translation becomes an important part of the context of the HBM. In this paper modifications to the HBM are suggested to accommodate the issues of language and knowledge in Korea.

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Essay on Terminology Formation and Translation Methodology in Korean (전문용어 조어 및 번역 방법론에 대한 시론)

  • LEE, Hyunjoo
    • Cross-Cultural Studies
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    • v.31
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    • pp.331-370
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    • 2013
  • In this knowledge based society, the circulation of knowledge and information is more and more increasing. Terms, as denominations of every specialized concept, has grown in quantity and there are considerable amount of foreign terminology coming to settle down in Korean language. Since terminologies quickly generate and be extinguished, it is important to translate in appropriate way at the very first phase of terminology implementation. This article aims to elaborate the typology of korean terminology translation forms, and propose some guidelines for terminology formation and translation methodology. ISO terminology principle and other institutes' propositions for term formation as well as translational theories constitute two basic columns of the guidelines.

The Construction of a German-Korean Machine Translation System for Nominal Phrases (독-한 명사구 기계번역시스템의 구축)

  • Lee, Minhaeng;Choi, Sung-Kwon;Choi, Kyung-Eun
    • Language and Information
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    • v.2 no.1
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    • pp.79-105
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    • 1998
  • This paper aims to describe a German-Korean machine translation system for nominal phrases. Besides, we have two subgoals. First, we are going to revea linguistic differences between two languages and propose a language-informational method fo overcome the differences. The method is based on an integrated model of translation knowledge, efficient information structure, and concordance selection. Then, we will show the statistical results about translation experiment and its evaluation as an evidence for the adequacy of our linguistic method and translation system itself.

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