Teaching
π Teaching & Mentorship
Over 18 years of teaching experience across multiple universities and countries, covering computational linguistics, NLP, digital humanities, and language pedagogy. Passionate about integrating cutting-edge research with practical education.
π« Current Teaching β Tongji University (2025/2026)
Introduction to Computational Linguistics
Foundational course covering core concepts in computational approaches to language, including formal grammars, statistical methods, and language modeling.
Advanced Natural Language Processing
Advanced topics in NLP including transformer architectures, large language models, sequence labeling, and multi-modal language understanding.
Methods in Language Sciences
Research methodology for language sciences covering experimental design, statistical analysis (GAMM, Bayesian), eye-tracking, and corpus methods.
Project-based Digital Humanities
Hands-on project course applying computational methods to humanities research, including distant reading, text mining, and data visualization.
π Teaching History
- Introduction to Computational LinguisticsCore concepts in computational approaches to language analysis
- Advanced Natural Language ProcessingTransformer architectures, LLMs, and multi-modal language understanding
- Methods in Language SciencesExperimental design, statistical analysis, eye-tracking, and corpus methods
- Project-based Digital HumanitiesHands-on computational methods applied to humanities research
- Transformer-based Language Models (2023 Winter)Large language models, attention mechanisms, and neural architectures
- Quantitative Methods in Experimental Linguistics (2022 Summer)Statistical methods, experimental design, and data analysis for linguistic research
- Language Changes & Variations (2021 Summer)Historical linguistics, sociolinguistics, and computational approaches to language change
- Computational Models in Linguistic Research (2020 & 2021 Summer)Machine learning and statistical modeling for linguistics
- Text Linguistics and Discourse Processes (2019/2020 Winter)Discourse analysis, text processing, and computational discourse modeling
- Contrastive Analysis of Chinese and English (2013β2015 Winter)Structural and functional differences between Chinese and English
- Computer-aided Translation (2015β2016 Spring)Translation technology, CAT tools, and computational approaches
- Corpus Linguistics (2016 Spring)Corpus methods, statistical analysis, and corpus tools
- Language and Society (2015β2016 Winter)Sociolinguistics, language variation, and social aspects of language
- English Reading & Writing (2014β2016)Academic writing and critical reading skills
- Introduction to Linguistics (2008β2009 Spring)Phonetics, phonology, morphology, syntax, and semantics
- L2 Learning Strategies (2007β2008 Winter)Second language acquisition theories and practical learning strategies
- English Reading & Writing (2007β2009)Core English language skills for undergraduates
π¨βπ Student Supervision
π Teaching Recognition
π Teaching Philosophy
Research-Informed
Integrating the latest research findings directly into classroom instruction
Hands-on Learning
Practical skills with Python, R, and specialized computational tools
Interdisciplinary
Combining linguistics, computer science, and cognitive science
Critical Thinking
Encouraging students to question assumptions and think analytically
International
Drawing from experience across multiple educational systems and cultures
Collaborative
Team-based projects mirroring professional research environments
π― Future Teaching Goals
- Developing new courses on **Large Language Models and AI Ethics** - Creating interdisciplinary programs bridging **linguistics and artificial intelligence** - Establishing international collaboration programs with European and North American universities - Mentoring the next generation of computational linguists and AI researchers - Promoting **open science** practices in linguistic education"Teaching is not just about transmitting knowledge, but about inspiring curiosity and developing critical thinking skills that will serve students throughout their careers. My goal is to prepare students for the rapidly evolving landscape of computational linguistics and AI."
β Kun Sun