Type of Credit: Elective
Credit(s)
Number of Students
This course purports to introduce the interdisciplinary investigation of linguistic research, capitulating on how different fields address phenomena related to language, including computer science, cognitive psychology, and neuroscience. This year the focus will be centered on the theoretical frameworks and available tools of computational linguistics and psycho/neurolinguistics that can be implemented to reveal a more comprehensive picture of the language system. Specifically, we will discuss (i) how language-related phenomena are viewed and analyzed by different disciplines, (ii) how linguistic theories may contribute to advance our understanding of the selected topics, and (iii) how different research fields can work in tandem to resolve issues collaboratively.
能力項目說明
* Subject to change
Week |
Module |
Topic |
Lecturer |
1 |
Course Introduction |
Linguistics & Non-linguistic cognition |
ALL |
2 |
Module 1: Basic Concepts and Theoretical Foundation |
Basic emotion-related theories and their categories |
Yu-Yun |
3 |
|
Theoretical and empirical research in functional linguistics and psychology |
Yu-Yun |
4 |
|
Architecture of language processing and cognition |
Yao-Ying |
5 |
|
Lexical semantics of psychological predicates and the related classes |
Yao-Ying |
6 |
Module 2: Current Linguistic Issues |
Cultural semantics and socio-cognitive framework in the analysis of mental states |
Yu-Yun |
7 |
|
Feature annotation and analysis of emotion verbs from a corpus linguistic perspective |
Yu-Yun |
8 |
|
Neurocognitive mechanisms underlying the processing of mental-state expressions |
Yao-Ying |
9 |
|
The role of non-linguistic cognition in language comprehension: alternative cases |
Yao-Ying |
10 |
Proposal Presentation and Discussion |
Project outline presentation |
ALL |
11 |
Module 3: Challenges and Applications |
Theoretical application in sentiment and a basic introduction to machine learning |
Yu-Yun |
12 |
|
Theoretical application in sentiment and a basic introduction to machine learning |
Yu-Yun |
13 |
|
Information processing in interdiscinplinary studies: domain-general vs. domain-specific? |
Yao-Ying |
14 |
|
Current issues of interdiscinplinary studies: linguistics, neurosience, cognitive science |
Yao-Ying |
15 |
Discussion for the Final Project |
|
ALL |
16 |
Day Off |
元旦 Holiday |
|
17 |
Final Presentation |
Oral presentation in class |
ALL |
18 |
End of Semester (no class) |
Final Report Submission |
|
Week 2
Week 3
Week 4
Week 5
Week 6
Week 7
Week 8
Week 9
Week 11
Week 12
Week 13
Week 14