NTU Graduate Institute of Linguistics
Digital Humanities:
Technology and Applications
A flagship interdisciplinary course bridging Humanities and Generative AI.
Training the next generation of "Bilingual Talents" who speak both Domain Knowledge and AI Logic.
🤖 GenAI & LLMs
📜 RAG & Agents
🤝 Cross-Disciplinary
📰 Media Spotlight
CommonWealth Magazine (天下雜誌)
Featured in Future City Podcast EP.99. Prof. Tsai discusses how humanities students act as the "Tripitaka" (Tang Sanzang) guiding the AI journey, emphasizing that data curation, bias detection, and prompt engineering require humanistic sensitivity.
CommonWealth Magazine (天下雜誌)
Highlighting the concept of "Model Foundry" where humanities students fine-tune models for specific domains. The course demonstrates how students from History and Literature can build their own AI applications.
🏫 Course Philosophy
In the era of GPT-5, we reject the "outsourcing mentality."
Domain Experts (Humanities) must become the Architects of AI.
🚀 The Technical Evolution
Our curriculum evolves with SOTA technology to ensure students learn the most relevant skills:
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2025 Focus: RAG & Agentic Workflows
Moving beyond fine-tuning. We focus on Long Context Prompting, Retrieval-Augmented Generation (RAG), and designing Agent SOPs to solve complex logic tasks without catastrophic forgetting.
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2024 Focus: Instruction Fine-Tuning (SFT)
Teaching students how to curate datasets to fine-tune open-source models (like Llama 3 / TAIDE) for specific tasks, emphasizing that "Data Quality is Key."
🏆 Student Projects Showcase
2025 RAG & Agentic Workflows
History Exam Generator
Team: History & Bio-mechatronics
An AI system that generates realistic history exam questions, mimicking the style and logic of official exams.
Linguistics Olympiad Solver
Team: Translation, Library Sci, Design
Modeling the logical flow to solve complex Linguistics Olympiad puzzles using Agentic workflows.
Idiom Adventure Game
Team: Foreign Lang, Linguistics
A situational adventure game for learning idioms, powered by GenAI to create dynamic storylines.
2024 Instruction Fine-Tuning (SFT)
Ancient Entity Linking
Task: Querying ancient figures' alternative names.
Input: 李白 ➔ Output: 太白、詩仙
Coreference Resolution
Task: Resolving pronouns in classical Chinese texts.
Input: 王陽明,其少也好學 ➔ Output: 王陽明...
📸 Classroom Gallery
Lecture & Concept Explanation
Intensive Group Discussion
Celebrating Moon Festival
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"Do we look like engineers?"
Breaking the Ice & Collaborating
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👨🏫 Instructor & Distinguished Guests
Instructor: Prof. Richard Tzong-Han Tsai (蔡宗翰)
Joint Professor, Graduate Institute of Linguistics, NTU
2025 Final Presentation Judges
- Ms. Fang-Yu Chen (陳芳毓), Senior Director, Future City, CommonWealth Magazine
- Prof. Kuan-Fei Chen (陳冠妃), Asst. Prof., Dept. of History, NTU
- Ms. Hsiao-Ping Huang (黃小萍), Research Teacher, NAER (師鐸獎得主)
- Dr. Yi-Chih Huang (黃意植), Associate Researcher, NARLabs
2024 Final Presentation Judges
- Prof. Yu-Yu Cheng (鄭毓瑜), Dean, College of Liberal Arts, NTU
- Prof. Shu-Kai Hsieh (謝舒凱), Vice Dean, College of Liberal Arts, NTU
- Ms. Fang-Yu Chen (陳芳毓), Senior Director, Future City
- Ms. Isabel Hou (侯宜秀), Secretary General, Taiwan AI Academy Foundation
🔮 Future Vision
We echo the global trend of top universities (UCL, Stanford, Cambridge) and advocate for the establishment of formal Digital Humanities Degree Programs at NTU, fostering the next generation of bilingual talents who can lead the AI era.