• The Mathematical Education
• /
• v.61 no.4
• /
• pp.559-579
• /
• 2022

Research on lexicon and language provides insights into the interests, values and practices of a community where individuals use the language. The International Classroom Lexicon Project, in which ten countries participated, identified own country's mathematics teaching and learning lexicons by investigating mathematics classroom instruction from teachers' perspectives in a speaking-oriented community. This study, as an extension of the International Classroom Lexicon Project research, investigated pedagogical lexicons used in 「Mathematics and Education」 journals specialized for Korean professional mathematics teachers published by the Korean Society of Teachers of Mathematics. Using the text mining approach, we also traced how these pedegogical lexicons have changed quantitatively over the past 10 years with a diachronic perspective. As a results, several novel terms were found in the writing-oriented community, which were not identified in the speaking-oriented community. In addition, we could discover some pedagogical lexicons have increased statistically significantly and some lexicons appeared(increased) rapidly across years. This implies the teacher community's values and zeitgeist by reflecting these changes in the sociocultural, incidental and social changing (i.e., periodical change) contexts. This study has value as a first step in understanding zeitgeist for mathematics education in Korean mathematics teacher community according to changes of times over the past 10 years. Also, this study contributes to the methodological insights: the text mining technique provides a methodological contribution to researching changes in interests, values and zeitgeist according to these changes in the times.

• Journal of Korea Entertainment Industry Association
• /
• v.14 no.5
• /
• pp.181-191
• /
• 2020

The purpose of this study is to suggest a direction for efficient teaching and learning idiomatic expressions in Korean to improve the vocabulary of Korean language learners. In order to make learning more interesting and enhance learning effectiveness for Korean language learners, the drama, , which was popular in Korea, was used as educational material. Since idomatic language is formed and used based on Korean history, culture, and social background, dramas containing Korean culture and sentiments can be said to be suitable materials for the teaching and learning of Korean idiomatic expressions. By analyzing the drama , 277 significant vocabularies were extracted from the drama based on vocabulary actually used. Among these, 124 idiomatic expressions were extracted after excluding overlapping expressions. Idiomatic expressions extracted in this way were classified based on vocabulary used more than 2 times. In addition, in order to select idiomatic expressions suitable for the level of the learners, 46 final expressions for Korean language education were selected considering the difficulty of vocabulary. Lastly, when the materials selected in the drama were used for education, the precautions for teaching and learning, and the direction of education on idiomatic language were classified into elementary, intermediate, and advanced grades and presented.

• Information and Communications Magazine
• /
• v.34 no.6
• /
• pp.43-50
• /
• 2017

본고에서는 소셜 빅데이터에서 공공안전에 위협되고 사회적으로 이슈가 되는 재난사건을 추출하기 위한 방법으로 소셜 네트워크상에서 사용자 행동 분석과 시간분석을 반영한 토픽 모델링 기법을 알아본다. 소셜 사용자의 글 수, 리트윗 반응, 활동주기, 팔로워 수, 팔로잉 수 등 사용자의 행동 분석을 통하여 활동적이고 신뢰성 있는 사용자를 분류함으로써 트윗에서 스팸성과 광고성을 제외하고 이슈에 대해 신뢰성 높은 사용자가 쓴 트윗을 중요하게 반영한다. 또한, 트위터 데이터에서 새로운 이슈가 발생한 것을 탐지하기 위해 시간별 핵심어휘 빈도의 분포 변화를 측정하고, 이슈 트윗에 대해 감성 표현 분석을 통해 핵심이슈에 대해 사건 어휘를 추출한다. 소셜 빅데이터의 특성상 같은 날짜에 여러 이슈에 대한 트윗이 많이 생성될 수 있기 때문에, 트윗들을 토픽별로 그룹핑하는 것이 필요하므로, 최근 많이 사용되고 있는 LDA 토픽모델링 기법에 시간 특성과 사용자 특성을 분석한 시간상에서의 중요한 사건 어휘를 반영하고, 해당이슈에 대한 신뢰성 있는 사용자가 쓴 트윗을 중요시 반영하도록 토픽모델링 기법을 개선한 소셜 사건 탐지 방법에 대해 알아본다.

• Cross-Cultural Studies
• /
• v.45
• /
• pp.325-348
• /
• 2016

This study aims to identify the representation of migrants in the English-language media during the Brexit campaign period. For the purpose of this study, the methodological tool of corpus-assisted discourse studies(CADS) was employed and a collection was compiled of articles mentioning Brexit in British, American, Canadian, and Australian media from April 15 to June 22, 2016 in order to compare their portrayals of migrants. To examine how IMMIGRANT, MIGRANT, and REFUGEE are represented in the media, their collocates were analyzed by MI score and categorized by social actor categorization(Van Leeuwan, 1996). The results show that IMMIGRANT is related to collocates that refer to legal status and provenance, MIGRANT associated with economic terms, and REFUGEE relates to terms expressing quantities. The results also reveal that migrants are frequently depicted by functionalization, classification, and appraisement categorization and are more negatively portrayed in British and American media. This paper claims that corpus-assisted linguistic analysis of words enables one to identify salient linguistic patterns or lexical choices in the discourses about a particular phenomenon or group of people.

• Annual Conference on Human and Language Technology
• /
• 2009.10a
• /
• pp.255-257
• /
• 2009

본 논문은 한국어의 통사적 중의성이 언어정보처리에 어떠한 영향을 미치는지 알아보기 위하여 어휘판단과제(lexical decision task)를 실시하였다. 명사의 의미와 동사의 의미로 중의적인 어절을 사용하여 각각의 빈도가 영향을 미치는지를 살펴보고자 하였다. 개별 품사 정보가 모두 영향을 미친다면 각각의 빈도가 영향을 미치게 되고 누적빈도 효과가 발생하여 개별 품사의 빈도와 동일한 비교조건에서의 반응시간보다 빠를 것이다. 실험 결과, 중의어절에서의 반응시간이 가장 빠르게 발생하였고 이를 통해 하나의 중의어절이 의미하는 개별적인 품사 의미가 모두 언어정보처리에 영향을 미친다는 것을 의미한다.

• The Journal of the Korea Contents Association
• /
• v.20 no.10
• /
• pp.25-34
• /
• 2020

Community question and answering service is one of the main sources of information and knowledge in the Web. The quality of information in question and answer documents is determined by the clarity of the question and the relevance of the answers, and the readability of a document is a key factor for evaluating the quality. This study is to measure the quality of documents used in community question and answering service. For this purpose, we compare the frequency of occurrence by vocabulary level used in community documents and measure the readability index of documents by institution of author. To measure the readability index, we used the Dale-Chall formula which is calculated by vocabulary level and sentence length. The results show that the vocabulary used in the answers is more difficult than in the questions and the sentence length is longer. The gap in readability between questions and answers is also found by writing institution. The results of this study can be used as basic data for improving online counseling services.

• The Journal of the Korea Contents Association
• /
• v.21 no.1
• /
• pp.333-342
• /
• 2021

In this study, we analyzed the vocabulary, lemmas, keywords, and n-grams in 『Treasure Island』 to identify certain linguistic features of this British-American children's adventure novel. The current study found that, contrary to the popular claim that frequently-used words are important and essential to a story, the set of frequently-used words in 『Treasure Island』 were mostly function words and proper nouns that were not directly related to the plot found in 『Treasure Island』. We also ascertained that a list of keywords using a statistical method making use of a corpus program was not good enough to surmise the story of 『Treasure Island』. However, we managed to extract 30 keywords through the first quantitative keyword analysis and then a second qualitative keyword analysis. We also carried out a series of n-gram analyses and were able to discover lexical bundles that were preferred and frequently used by the author of 『Treasure Island』. We hope that the results of this study will help spread this knowledge among British-American children's literature as well as to further put forward corpus stylistic theory.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2010.11a
• /
• pp.185-188
• /
• 2010

온톨로지 간 이질성 문제를 해결하고 상호운용성을 향상시키기 위한 연구가 진행되어 왔으며, 최근 XMDR에 기반한 온톨로지 구축 방법이 제안되었으나 기존 연구와의 비교 평가가 부족하여 장점을 정확하게 보이지 못하였다. 따라서 이 논문에서는 XMDR 기반 온톨로지 구축 방법의 장점을 보다 명확하게 보이기 위해 정량적인 평가를 수행한다. 이를 위해 실제 온톨로지를 구축하고, 구축된 온톨로지는 온톨로지 참조 기반 온톨로지 구축 방법, 사전 참조 기반 온톨로지 구축 방법, 기존 방법론을 이용한 온톨로지 구축 방법을 평가 대상으로 하여 5가지 평가 지표로 분석된다. 평가 지표로는 구축된 온톨로지의 어휘 및 구조의 일관성 비교를 위하여 어휘 및 구조의 빈도수 평균과 엔트로피를 사용하고 구축 비용의 평가를 위하여 각 온톨로지의 구축 시간을 사용한다. 이러한 실험 및 평가의 결과로써, 온톨로지 참조 기반의 온톨로지 구축 방법은 다른 온톨로지 구축 방법들에 비해 온톨로지 어휘 및 구조가 일관적이고 효율적임을 보인다.

• The Journal of the Korea Contents Association
• /
• v.14 no.1
• /
• pp.150-157
• /
• 2014

This thesis intends to grasp the degree of utilization of visual images by understanding the relational properties between picture and letter and considering the children as users, through the analysis of currently published books of English vocabulary for children. Accordingly, the types of picture used in the books of English vocabulary for children, the degree of utilization of picture, combination types of picture and letter, and semantic consistency of picture and letter are reviewed. As a result of analysis, the degree of utilization of picture is high in general, in order of illustration, cartoon, and the mix of illustration and cartoon. In the combination form of picture and letter, the degree of utilization appears in order of picture plus vocabulary, letters without illustration, and pictorial symbol. In particular, the higher semantic consistency of picture and letter, it is effective in learning, however, semantic consistency is low, generally. Pictorial symbol type shows the frequency of the highest combination type in the five groups of higher semantic consistency. In conclusion, the presented types of picture and letter, shown in the currently published books of English vocabulary for children, are similar types by the publishing companies, thus, effective design research should be required based on diverse levels of children.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2007.11a
• /
• pp.586-591
• /
• 2007

지식 관리 시스템, 정보 검색 시스템, 그리고 전자 도서관 시스템 등의 문서를 다루는 시스템에서는 문서의 구조화 및 문서의 저장이 필요하다. 문서에 담겨있는 정보를 추출하기 위해 가장 우선시되어야 하는 것은 키워드의 선별이다. 기존 연구에서 가장 널리 사용된 알고리즘은 단어의 사용 빈도를 체크하는 TF(Term Frequency)와 IDF(Inverted Document Frequency)를 활용하는 TF-IDF 방법이다. 그러나 TF-IDF 방법은 문서의 의미를 반영하지 못하는 한계가 존재한다. 이를 보완하기 위하여 본 연구에서는 세 가지 방법을 활용한다. 첫 번째는 문헌 속에서의 단어의 위치 및 서론, 결론 등의 특정 부분에 사용된 단어의 활용도를 체크하는 문헌구조적 기법이고, 두 번째는 강조 표현, 비교 표현 등의 특정 사용 문구를 통제 어휘로 지정하여 활용하는 방법이다. 마지막으로 어휘의 사전적 의미를 분석하여 이를 메타데이터로 활용하는 방법인 언어학적 기법이 해당된다. 이를 통하여 키워드 추출 과정에서 문서의 의미 분석도 수행하여 키워드 추출의 효율을 높일 수 있다.