Inf1CG Week 3: Neural Modeling, Word Segmentation, Bayesian Modeling
Tasks
Your major tasks and deadlines this week are:
- Do Quiz 1, which is due on Monday 29 January at 12:00 noon.
- Attend lectures 7, 8, and 9.
- Attend your tutorial group. Make sure to first attempt the Questions for Tutorial 2 on your own.
- Attend one of the drop-in labs.
- Read the readings for this week.
- Start Assignment 1, which will be issued on Monday 29 January and is due on 28 February 2024
- Start preparing for Tutorial 3, which will happen next week.
Lectures
| No | Date | Title |
|---|---|---|
| 07 | 30 Jan | A Neural Network Model of the Past Tense |
| 08 | 01 Feb | Word Segmentation |
| 09 | 02 Feb | Bayesian Modeling |
All lectures will be livestreamed and recorded on Echo Video. You may have to log on through Learn before this link works.
Readings
The links below direct you to the University Library or to Piazza. You will need to log on to access the full text.
Readings come in two flavours: required and recommended.
| Kirov & Cottrell 2018 | Revisiting Pinker and Prince (1988) and the Past Tense Debate | Required |
| Griffiths et al. 2010 | Probabilistic models of cognition: exploring representations and inductive biases | Required |
| Brent & Cartwright 1996 | Distributional Regularity and Phonotactic Constraints are Useful for Segmentation | Recommended |
Assignments
To access the assignments, please login in through Learn, and then go the link “Notable LTI 1.2”.
Quizzes
To access the quizzes, please login in through Learn, and then go the link “Gradescope”.
Tutorials
Please attempt to answer the Questions for Tutorial 2. These will be discussed in the tutorial sessions this week.
Labs
Please attend one of the drop-in lab sessions this week. The labs are designed to help with the assignments, and you can ask the lab demonstrator if anything is unclear with Assignment 1.
To access the lab notebooks, please login in through Learn, and then go the link “Notable LTI 1.2”.
