Zobrazeno 1 - 10
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pro vyhledávání: '"Kim, SoJung"'
This study aims to compare three methods for translating ancient texts with sparse corpora: (1) the traditional statistical translation method of phrase alignment, (2) in-context LLM learning, and (3) proposed inter methodological approach - statisti
Externí odkaz:
http://arxiv.org/abs/2407.11368
Large Language Models (LLMs) have a great potential to serve as readily available and cost-efficient Conversational Intelligent Tutoring Systems (CITS) for teaching L2 learners of English. Existing CITS, however, are designed to teach only simple con
Externí odkaz:
http://arxiv.org/abs/2406.03486
As the recent Large Language Models(LLM's) become increasingly competent in zero-shot and few-shot reasoning across various domains, educators are showing a growing interest in leveraging these LLM's in conversation-based tutoring systems. However, b
Externí odkaz:
http://arxiv.org/abs/2403.14071
In Korean ancient documents, there is no spacing or punctuation, and they are written in classical Chinese characters. This makes it challenging for modern individuals and translation models to accurately interpret and translate them. While China has
Externí odkaz:
http://arxiv.org/abs/2312.11881
Computerized Adaptive Testing (CAT) is a widely used, efficient test mode that adapts to the examinee's proficiency level in the test domain. CAT requires pre-trained item profiles, for CAT iteratively assesses the student real-time based on the regi
Externí odkaz:
http://arxiv.org/abs/2308.11912
A named entity recognition and classification plays the first and foremost important role in capturing semantics in data and anchoring in translation as well as downstream study for history. However, NER in historical text has faced challenges such a
Externí odkaz:
http://arxiv.org/abs/2306.14592
Autor:
Lim, Hyeongjun1 (AUTHOR) 2019112520@dongguk.edu, Kim, Sojung1 (AUTHOR) sojungkim@dgu.ac.kr
Publikováno v:
Energies (19961073). Oct2024, Vol. 17 Issue 20, p5191. 19p.
Autor:
Lee, Jong-Sun1, Kim, Sojung2, Lee, Ji-Hyun3, Kim, Jae-Won4, Yoo, Jae Hyun5, Han, Doug Hyun6, Hwang, Hyunchan6, Choi, Chi-Hyun7, Seo, Dong-Gi3 dgseo@hallym.ac.kr
Publikováno v:
Child & Adolescent Psychiatry & Mental Health. 9/17/2024, Vol. 18 Issue 1, p1-12. 12p.
The paper develops a methodology to enable microscopic models of transportation systems to be accessible for a statistical study of traffic accidents. Our approach is intended to permit an understanding not only of historical losses, but also of inci
Externí odkaz:
http://arxiv.org/abs/2208.12530
Publikováno v:
In EXPLORE November-December 2024 20(6)