FIT5217 · Monash University
Natural language processing
- Credit points
- 6
- Level
- 5
- Workload
- ≈ 12 h / week
- Faculty
- Information Technology
What it covers
Natural language processing (NLP) stands as a cornerstone in the information age, made even more riveting with the rise of Generative AI and the introduction of models like LLM. NLP not only supports artificial intelligence in grasping intricate language nuances but also heralds a range of innovative applications. This unit delves into the fundamental principles of NLP, covering essential techniques for analyzing language syntax and meaning. We will also explore the neural network underpinnings of contemporary language models in the context of important real-world problems such as Machine Translation. Furthermore, we'll delve into the theoretical and practical foundations of recent LLMs.
Assessment
| Task | Type | Weight |
|---|---|---|
| Assignment 1 | Project | 25% |
| Assignment 2 | Project | 25% |
| Examination (2 hours and 10 minutes) | Examination | 50% |
| Interviewhurdle | Demonstration | 0% |
Hurdle tasks must be passed regardless of your overall mark.
When and where
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Malaysia | On-campus |
| Clayton | Blended | |
| Term 3 | Suzhou (SEU) | On-campus |