• Journal of the Korean Society for Library and Information Science
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• v.43 no.4
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• pp.241-264
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• 2009

The study proposed an electronic journal retrieval model to be used to improve the retrieval efficiency of e-journals. To do this, firstly, we reviewed the literature on users' information behavior and on ERM (Electronic Resource Management) systems. Secondly, we conducted an e-mail survey of 96 participants (professors and graduate students) to find out about their information behavior on how to access, use and evaluate electronic resources as well as scientific information. Thirdly, we administered case studies on two ERMSs, Ex Libris' Verde and Innovative's Millennium. The proposed model will be operated within ERM systems and it enables to the supply of both system- and user-based services by combining taxonomy-based ERM systems with tag folksonomy. The model is unique in that it includes not only the automatic tagging functions that can be performed using log files but also the tag management functions including grouping similar or related tags.

• 한국어정보학회:학술대회논문집
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• 2017.10a
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• pp.288-293
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• 2017

교수-학습 발화는 발화 턴 간에 규칙화된 인과관계가 강하고 자연 발화에서의 출현율이 낮다. 일반적으로 어휘부, 표현 제시부, 대화부로 구성되며 커리큘럼과 화제에 따라 구축된 언어자원이 필요하다. 기존의 말뭉치는 이러한 교수-학습 발화의 특징을 반영하지 않았기 때문에 한국어 교육용 튜터링 챗봇을 개발하는 데에 활용도가 떨어진다. 이에 따라 이 논문에서는 자연스러운 언어 사용 수집, 도구 기반의 수집, 주제별 수집 및 분류, 점진적 구축 절차의 원칙에 따라 교수-학습의 실제 상황을 반영하는 준구어 말뭉치를 구축한다. 교실에서 발생하는 언어학습 상황을 시나리오로 구성하여 대화 흐름을 제어하고 채팅용 메신저와 유사한 형태의 도구를 통해 말뭉치를 구축한다. 이 연구는 한국어 튜터링 챗봇을 개발하기 위해 말뭉치 구축용 챗봇과 한국어 학습자, 한국어 교수자가 시나리오를 기반으로 발화문을 생성한 준구어 말뭉치를 최초로 구축한다는 데에 의의가 있다.

• Annual Conference on Human and Language Technology
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• 1996.10a
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• pp.128-141
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• 1996

한국어-영어 이중언어자와 비이중언어자인 한국 대학생들을 대상으로 두 언어 처리의 독립성과 영어 처리의 사고 억제 과정을 알아보기 위해서 두 개의 산출실험을 실시하였다. 실험 1에서는 한국어와 영어로 산출 과제를 준 후에 한국어, 영어 단어에 대한 어휘 판단 과제를 하였다. 이중언어자는 한국어-영어 처리 체계가 분리되어 있어서 산출 언어와 목표 단어의 언어가 바뀐 경우에 단어 판단시간이 더 길 것으로 예상하였으나 유의미한 결과는 나오지 않았다. 비이중언어자는 영어 산출 후에 한국어, 영어 단어에 대한 판단 시간이 모두 느려졌으며 이것은 영어 산출에 많은 심적 자원을 소모하였기 때문이라고 해석하였다. 실험2에서는 영어로만 1분간 산출 과제를 주고 20초씩 나눈 세 구간에서 발화된 단어 수를 측정하였다. 이중언어자는 세 번째 구간에서 유의미하게 발화된 단어수가 감소하였지만 비이중언어자는 세 구간에서 발화된 단어수가 비슷하였다. 이것을 영어 산출시의 처리 부담과 관련하여 논하였다.

• Annual Conference on Human and Language Technology
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• 2008.10a
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• pp.201-206
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• 2008

본 논문은 한국어 문서 감정분류에 기반이 되는 감정 자질의 가중치 강화를 통해 감정분류의 성능 향상을 얻을 수 있는 기법을 제안한다. 먼저, 어휘 자원인 감정 자질을 확보하고, 확장된 감정 자질이 감정 분류에 얼마나 기여하는지를 평가한다. 그리고 학습 데이터를 이용하여 얻을 수 있는 감정 자질의 카이 제곱 통계량(${\chi}^2$ statics)값을 이용하여 각 문장의 감정 강도를 구한다. 이렇게 구한 문장의 감정 강도의 값을 TF-IDF 가중치 기법에 접목하여 감정 자질의 가중치를 강화시킨다. 마지막으로 긍정 문서에서는 긍정 감정 자질만 강화하고 부정 문서에서는 부정 감정 자질만 강화하여 학습하였다. 본 논문에서는 문서 분류에 뛰어난 성능을 보여주는 지지 벡터 기계(Support Vector Machine)를 사용하여 제안한 방법의 성능을 평가한다. 평가 결과, 일반적인 정보 검색에서 사용하는 내용어(Content Word) 기반의 자질을 사용한 경우 보다 약 2.0%의 성능 향상을 보였다.

• The Journal of the Korea Contents Association
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• v.15 no.7
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• pp.674-683
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• 2015

One of the issues with the textbooks pertinent to the current study is whether or not the Universal Design for Learning (UDL) factors have been dealt to satisfy students with different aptitudes in learning the core objectives of the lessons. This study develops a modified version of the UDL analysis criteria from the cross curricular criteria to language teaching and learning and uses it to analyze the sequence of digital English textbooks to investigate the descriptive statistics of the UDL factors in the new textbooks. The result shows that the textbook is designed most favorably to the students with the talent of linguistic aptitude and less favorably to the students with other types of aptitudes. The sequence analysis shows that sentence/word length and appearance of new words are incrementally sequenced as students advance upper grades. However, the syntactic complexity of middle school curves up steeply which is different from the elementary school textbooks. The UDL analysis will provide learning factors to consider when designing digital English textbooks to cover different aptitudinal groups.

• 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.

• Journal of Korean Library and Information Science Society
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• v.48 no.4
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• pp.107-127
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• 2017

This study is to suggest the considerations in constructing BIBFRAME by analyzing change feature of BIBFRAME 2.0 under recognizing the needs of the detailed methods for BIBFRAME construction in Korea through literature review as research methods. First, it is to add or to describe expression level as the core entity in BIBFRAME 2.0. Second, it is to extend classes and properties as BIBFRAME vocabulary to reflect the RDA elements by testing the various materials. Third, preferred title and preferred name is to be described in BIBFRAME and Korean Cataloging Rules related to authorized access point is to be regulated. This study could contribute to develop BIBFRAME development and revision under revising BIBFRAME vocabularies ongoing.

• Journal of the Korean earth science society
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• v.33 no.1
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• pp.59-72
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• 2012

The purpose of this study is to explore the types of interlanguage that middle school students use in learning about the concept of diastrophism. Eighteen students from two classes in a middle school in Seoul participated in the study and each participant was interviewed four times. Data were analyzed in terms of semantic relations and thematic patterns. As a result, eight interlanguage types were identified and described, which are using everyday language as resources, combining scientific words with everyday words, conjugating scientific words imperfectly, and using semantic relations inappropriately. The implication of interlanguage for science learning and teaching is discussed.

• Journal of Korean Library and Information Science Society
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• v.41 no.2
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• pp.127-145
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• 2010

Outsourcing, importing of publishing metadata and revitalizing copy cataloging have reduced importance of traditional cataloging. Request of interoperability between other communities and business integration of related system also have changed the meaning of library catalog. Furthermore, newly declared principle and rules are totally different to existing AACR, MARC, measures to cataloging education for next generation seems to be urgently needed. In this study, firstly put together a series of discussion about future cataloging and new role of cataloging librarian, and secondly basis on it, suggest direction of cataloging education course which divided two sectors. One is for students who are undergraduated, and another is for current cataloger at working level. In basic training, it should contain principle of knowledge organization and diverse resources and its relationship, encoding scheme and its practice. The other hand, in re-education training, it should include that re-recognition about new concept of bibliographic world, changing vocabulary and encoding scheme, furthermore metadata scheme about diverse resources which library have accepted, and its integration.

• Journal of KIISE:Software and Applications
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• v.35 no.5
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• pp.313-324
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• 2008

A sentence reduction is the information compression process which removes extraneous words and phrases and retains basic meaning of the original sentence. Most researches in the sentence reduction have required a large number of lexical and syntactic resources and focused on extracting or removing extraneous constituents such as words, phrases and clauses of the sentence via the complicated parsing process. However, these researches have some problems. First, the lexical resource which can be obtained in loaming data is very limited. Second, it is difficult to reduce the sentence to languages that have no method for reliable syntactic parsing because of an ambiguity and exceptional expression of the sentence. In order to solve these problems, we propose the sentence reduction method which uses templates and POS(part of speech) information without a parsing process. In our proposed method, we create a new sentence using both Sentence Reduction Templates that decide the reduction sentence form and Grammatical POS-based Reduction Rules that compose the grammatical sentence structure. In addition, We use Viterbi algorithms at HMM(Hidden Markov Models) to avoid the exponential calculation problem which occurs under applying to Sentence Reduction Templates. Finally, our experiments show that the proposed method achieves acceptable results in comparison to the previous sentence reduction methods.