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)

"Can only science students do AI? Prof. Tsai: Humanities' precision in language is key to AI development"

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.

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CommonWealth Magazine (天下雜誌)

"Building an 'AI TSMC' with Model Foundry! Prof. Tsai: A New Path for Liberal Arts in the AI Era"

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.

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🎥 Course Recap Video

Watch the highlights and student presentations from our 2024 semester.

▶️ Watch Video Highlights

🏫 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:

  • 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.
  • 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

Project 1

History Exam Generator

Team: History & Bio-mechatronics
An AI system that generates realistic history exam questions, mimicking the style and logic of official exams.
Project 2

Linguistics Olympiad Solver

Team: Translation, Library Sci, Design
Modeling the logical flow to solve complex Linguistics Olympiad puzzles using Agentic workflows.
Project 3

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)

Project 2024-1

Ancient Entity Linking

Task: Querying ancient figures' alternative names.
Input: 李白 ➔ Output: 太白、詩仙
Project 2024-2

Coreference Resolution

Task: Resolving pronouns in classical Chinese texts.
Input: 王陽明,其少也好學 ➔ Output: 王陽明...

📸 Classroom Gallery

👨‍🏫 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.

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