Higher Education · Artificial Intelligence
Natural Language Processing
What is it
Natural language processing (NLP) covers techniques for enabling computers to understand, interpret and generate human language — from earlier statistical methods to modern transformer-based language models that power today's most capable AI systems.
Why it matters
NLP underlies search engines, translation tools, voice assistants, and the large language models now used throughout the software industry, making it one of the most commercially significant and rapidly evolving areas of AI research and application.
Exam tip
Understand the difference between older, simpler NLP techniques (like bag-of-words) and modern transformer-based approaches — knowing why transformers represented such a significant leap forward (via attention mechanisms) is a commonly tested and genuinely important conceptual point.
Related topics
Want help mastering Natural Language Processing?
Tell us about the student's goals and confidence — we'll design a personalised plan.