Natural Language Processing and How Chatbots Work
Natural Language Processing is the branch of AI that deals with understanding, interpreting, and generating human language — text and speech. NLP powers chatbots, voice assistants, translation tools, and spam filters.
About This Resource
Discover how AI understands and generates human language — from simple keyword matching to modern large language models like ChatGPT.
NLP and conversational AI resource suitable for Class 7–10 students.
What Students Will Learn
- Define Natural Language Processing (NLP)
- Explain how chatbots understand user messages using intent and entities
- Describe tokenisation and why it is needed
- Compare simple rule-based chatbots with modern LLMs
Resources Available
Questions & Answers
What is Natural Language Processing (NLP)?
Natural Language Processing is the branch of AI that deals with understanding, interpreting, and generating human language — text and speech. NLP powers chatbots, voice assistants, translation tools, and spam filters.
How does a chatbot understand what you say?
A chatbot analyses your message by identifying the intent (what you want to do) and entities (the specific items mentioned). For example, in 'Book a flight to Mumbai tomorrow', the intent is 'book flight' and the entities are 'Mumbai' and 'tomorrow'.
What is tokenisation?
Tokenisation is the process of splitting text into smaller units called tokens. In most NLP systems, tokens are words or parts of words. Computers cannot understand raw text, so they convert it into numbers via tokenisation.
How is ChatGPT different from a simple chatbot?
A simple chatbot uses rules and keyword matching. ChatGPT is a Large Language Model (LLM) trained on billions of text examples — it generates responses by predicting the most likely next word, creating fluent, context-aware answers.
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