LING3401 Linguistics and Information Technology (Spring 2025)
Undergraduate course, Department of Linguistics and Modern Languages, Chinese University of Hong Kong, 2025
Meeting time and location
- Lecture: Wednesday 14:30-16:15, Lee Shau Kee Building 302
- Tutorial: Wednesday 16:30-17:15, Lee Shau Kee Building 302
Teaching staff
- Instructor: Prof. Gangyi Feng
- Email: g.feng[at]cuhk.edu.hk
- Office hours: Thursday 15:30-17:00 or by appointment, at G09 Leung Kau Kui Building or 401 Hui Yeung Shing Building
- Teaching Assistant: Yige Chen
- Email: yigechen[at]link.cuhk.edu.hk
- Office hours: Tuesday 12:00-14:00, at G19 Leung Kau Kui Building
Course Syllabus
Course Schedule
- Please note that the course schedule below may be subject to change
Week | Date | Lecture | Tutorial | Materials | Events |
---|---|---|---|---|---|
1 | Jan 8 | Introduction to Linguistics & IT | Demonstrating NLP tasks and applications | [Tutorial Slides] | |
2 | Jan 15 | Language Data and NLP Fundamentals | Tokenization, word frequency analysis, and edit distance | [Tutorial Slides] and | |
3 | Jan 22 | Understanding “Simple” Language Modeling | Probability, n-gram, and perplexity | [Tutorial Slides] and | |
4 | N/A | No class: Lunar New Year | N/A | ||
5 | Feb 05 | Machine Learning Fundamentals | Machine learning basics | [Tutorial Slides] and | |
6 | Feb 12 | Machine Learning Fundamentals | Machine learning basics II | [Tutorial Slides] and | |
7 | Feb 19 | Word Meaning and Embeddings | Word meaning and embeddings | [Tutorial Slides] and | |
8 | Feb 26 | Large Language Models I | Prompting large language models | [Tutorial Slides] | |
9 | N/A | No class: Reading week | N/A | ||
10 | Mar 12 | Large Language Models II | TBD | Midterm | Midterm: In class |
11 | Mar 19 | Parsing and Linguistic Structure Analysis | NLP for linguistic analysis | [Tutorial Slides] and | |
12 | Mar 26 | Corpus analysis (Prof. Mai Ziyin’s team) (focus on speech recognition and corpus analysis for language learners and children’s corpus) | TBD | ||
13 | Apr 2 | Text Classification, Sentiment Analysis, and Information Extraction | Text Classification and Information Extraction | [Tutorial Slides] and | |
14 | Apr 9 | Machine Translation and Text-to-Speech Tools and Models | Machine Translation, Speech Synthesis, and Multimodality | [Tutorial Slides] | |
15 | Apr 16 | Real-World Applications: Personalized AI Assistants | Prompting, Agents, and Human-Computer Interaction | [Tutorial Slides] | Final Exam: In class |