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Natural language processing
FIT5217
Synopsis
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.
Sourced from the Monash Handbook 2026.
Quick facts
- Credit points
- 6
- Level
- 5
- Audience
- Postgraduate
- Type
- Coursework
- School
- Faculty of Information Technology
- Handbook year
- 2026
Prerequisites (5)
- Principles of statistical inferenceEPM5003
- Fundamentals of artificial intelligenceFIT5047
- Statistical data modellingFIT5197
- Machine learningFIT5201
- Deep learningFIT5215
What it unlocks
Nothing in the visible graph depends on this unit.
Offerings (3)
- First semesterClayton · BLENDED / Malaysia · ON-CAMPUS
- Term 3Suzhou (SEU) · ON-CAMPUS
Listed in 2 areas of study
- Computational scienceElective units
- Software engineeringSoftware engineering technical electives