• 제목/요약/키워드: Corpus Revolution

검색결과 4건 처리시간 0.014초

한국어 사전학의 현황과 과제- 말뭉치 혁명과 사용자 참여를 중심으로 - (Present Situation and Issues of Korean Lexicography - Focused on Corpus Revolution and User Participation -)

  • 남길임
    • 언어사실과 관점
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    • 제47권
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    • pp.61-86
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    • 2019
  • The purpose of this study is to review how Korean dictionaries have been developed under the influence of corpus revolution and user participation in dictionary making process. It also discusses prospects for the future of Korean lexicography and proposes lexicographers' role to meet the demands from these changes. It has been almost 30 years since corpus linguistics was applied to the field of lexicography. Recently, the user generate contents have a huge impact on online dictionaries such as wiki model, Urban Dictionary and so on. Korean lexicography in the future should focus on the description of semantic units analyzed from Korean corpus and create mechanism to embrace user generating contents online dictionaries. Lexicographers need to set up system to improve the quality of these user contributions. This study traces the impact of Korean corpus linguistics and user participation and suggest a few directions for corpus-based dictionary.

말뭉치 구축·활용의 흐름과 현재의 동향 - 일본의 사례를 중심으로 - (A Study of the Research Direction and Trend in the Use of Corpus - Focusing on the Case of Japan -)

  • 윤영민
    • 언어사실과 관점
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    • 제45권
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    • pp.35-59
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    • 2018
  • In this paper, as a proposal to an effective corpus construction and utilization scheme, there is a purpose to explore the present situation of Japanese corpus construction, concrete content and current trend. In Japan, dependence on google is remarkable, there has been a steady effort to develop high-quality corpus and development tool. On the other hand, the Japanese corpus should clearly grasp the location and information from those created by individual researchers to their own purpose to those created mainly by universities, research institutes, national policy institutions, etc. It is difficult. In this survey, it was possible to distinguish by "media corpus", "literary·magazine·web and balanced corpus", "spoken language corpus", "learner corpus", "historical material corpus" etc. by field and type. In addition, there were not many tools developed for corpus efficient use and secondary processing such as "example search", "morphological analysis", "machine translation", etc. for tool corpus only. The current trend in Japanese corpus construction spurred preparations for Seed data which can be utilized in linguistic research and various fields of the fourth industry, including national policy and research institutes such as NINJAL, JPO, NICT, ALAGIN and companies such as RAKUTEN ing.

지식모니터링시스템에서 감성기준을 고려한 EFASIT 모델 (An EFASIT model considering the emotion criteria in Knowledge Monitoring System)

  • 류경현;피수영
    • 인터넷정보학회논문지
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    • 제12권4호
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    • pp.107-117
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    • 2011
  • 웹의 등장은 전통적인 정보검색을 비롯하여 지식관리와 일반 상거래 등 사회 전 분야의 급격한 변혁을 초래하였다. 그러나 검색엔진은 일반적으로 관련된 계산함수에 의해 순서화된 URL의 방대한 목록을 제공하지만, 관련 없는 정보의 필터링이나 사용자가 필요로 하는 정보의 검색에 많은 시간이 소요된다. 본 논문에서는 웹상의 효율적인 문서검색을 위해서 영역 코퍼스 정보를 바탕으로 확장된 퍼지 계층화 의사결정법(Extended Fuzzy AHP Method : EFAM)과 유사도 기법(SImilarity Technology : SIT)을 결합하고, 감성기준을 고려한 EFASIT(Extended Fuzzy AHP and SImilarity Technology)모델을 제안한다. 제안한 감성기준을 고려한 EFASIT 모델은 다양한 의사결정자들의 퍼지지식의 통합으로 좀 더 명확한 규칙을 생성할 수 있고 의사결정을 하는데 도움을 준다는 것을 실험을 통하여 확인한다.

Unveiling the synergistic nexus: AI-driven coding integration in mathematics education for enhanced computational thinking and problem-solving

  • Ipek Saralar-Aras;Yasemin Cicek Schoenberg
    • 한국수학교육학회지시리즈A:수학교육
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    • 제63권2호
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    • pp.233-254
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    • 2024
  • This paper delves into the symbiotic integration of coding and mathematics education, aimed at cultivating computational thinking and enriching mathematical problem-solving proficiencies. We have identified a corpus of scholarly articles (n=38) disseminated within the preceding two decades, subsequently culling a portion thereof, ultimately engendering a contemplative analysis of the extant remnants. In a swiftly evolving society driven by the Fourth Industrial Revolution and the ascendancy of Artificial Intelligence (AI), understanding the synergy between these domains has become paramount. Mathematics education stands at the crossroads of this transformation, witnessing a profound influence of AI. This paper explores the evolving landscape of mathematical cognition propelled by AI, accentuating how AI empowers advanced analytical and problem-solving capabilities, particularly in the realm of big data-driven scenarios. Given this shifting paradigm, it becomes imperative to investigate and assess AI's impact on mathematics education, a pivotal endeavor in forging an education system aligned with the future. The symbiosis of AI and human cognition doesn't merely amplify AI-centric thinking but also fosters personalized cognitive processes by facilitating interaction with AI and encouraging critical contemplation of AI's algorithmic underpinnings. This necessitates a broader conception of educational tools, encompassing AI as a catalyst for mathematical cognition, transcending conventional linguistic and symbolic instruments.