• Language Facts and Perspectives
• /
• v.47
• /
• pp.61-86
• /
• 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.

• Language Facts and Perspectives
• /
• v.45
• /
• pp.35-59
• /
• 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.

• Journal of Internet Computing and Services
• /
• v.12 no.4
• /
• pp.107-117
• /
• 2011

The appearance of Web has brought an substantial revolution to all fields of society such knowledge management and business transaction as well as traditional information retrieval. In this paper, we propose an EFASIT(Extended Fuzzy AHP and SImilarity Technology) model considering the emotion analysis. And we combine the Extended Fuzzy AHP Method(EFAM) with SImilarity Technology(SIT) based on the domain corpus information in order to efficiently retrieve the document on the Web. The proposed the EFASIT model can generate the more definite rule according to integration of fuzzy knowledge of various decision-maker, and can give a help to decision-making, and confirms through the experiment.

• The Mathematical Education
• /
• v.63 no.2
• /
• pp.233-254
• /
• 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.