| dc.contributor | 韓文系 | |
| dc.creator (作者) | 陳冠超 | |
| dc.creator (作者) | Chen, Kuan Chao | |
| dc.date (日期) | 2026-02 | |
| dc.date.accessioned | 20-Apr-2026 10:21:39 (UTC+8) | - |
| dc.date.available | 20-Apr-2026 10:21:39 (UTC+8) | - |
| dc.date.issued (上傳時間) | 20-Apr-2026 10:21:39 (UTC+8) | - |
| dc.identifier.uri (URI) | https://ah.lib.nccu.edu.tw/item?item_id=182153 | - |
| dc.description.abstract (摘要) | This study re-examines the pedagogical role of corpora in Korean translation education in the era of AI, focusing on classroom applications in Korean language majors in Taiwan. It traces the shift from corpus-based translation to AI-assisted translation and discusses how translation competence and instructional goals are being redefined in AI-driven contexts. The study argues that corpus literacy remains a core component of translation competence, particularly for evaluating AI-generated translations, diagnosing errors, and justifying translation choices. It then categorizes types of corpora used in translation education and highlights the pedagogical value of multilayered corpora that integrate AI outputs, learner translations, and revised versions. Drawing on three classroom cases—tourism corpora, Korean drama corpora, and learner translation corpora—the study demonstrates how corpus-based activities can complement AI tools and foster learners’ critical thinking and translation awareness. | |
| dc.format.extent | 177 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | 외국어로서의 한국어교육, Vol.80, pp.369-400 | |
| dc.subject (關鍵詞) | 생성형 AI; 한국어 번역 교육; 말뭉치 기반 번역; 대만 한국어 교육; 포스트에디팅 | |
| dc.subject (關鍵詞) | Generative AI; Korean Translation Education; Corpus-Based Translation; Taiwan Korean Education; Post-editing | |
| dc.title (題名) | AI 시대 한국어 번역 교육에서 말뭉치 기반 접근의 적용 - 대만 한국어전공 수업 사례를 중심으로 - | |
| dc.title (題名) | Applications of a Corpus-Based Approach in Korean Translation Education in the Era of AI: Case Studies of Korean Language Majors in Taiwan | |
| dc.type (資料類型) | article | |
| dc.identifier.doi (DOI) | 10.21716/TKFL.80.13 | |