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TeacherColab · Free Student Worksheet
Natural Language Processing and How Chatbots Work
Student Name
Date
Learning Objective
Discover how AI understands and generates human language — from simple keyword matching to modern large language models like ChatGPT.
Section 1 — What do you already know?
Before we begin, write down anything you already know about: NLP & Chatbots
Section 2 — Key Concepts
1. What is Natural Language Processing (NLP)?
Answer:
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.
2. How does a chatbot understand what you say?
Answer:
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'.
3. What is tokenisation?
Answer:
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.
Section 3 — Check Your Understanding
Answer the following questions in your own words.
1. Define Natural Language Processing (NLP)
2. Explain how chatbots understand user messages using intent and entities
3. Describe tokenisation and why it is needed
4. Compare simple rule-based chatbots with modern LLMs
Section 4 — Fill in the Blanks
Complete the sentences using the concepts you have learned.
1. NLP & Chatbots helps computers _________________ patterns from _________________.
2. The main difference between AI and a normal program is that AI _________________ from data rather than following fixed _________________.
3. One real-world example of NLP & Chatbots is _________________, which uses it to _________________.
4. The inputs used by an AI model are called _________________ and the output it predicts is called a _________________.
Section 5 — Scenario Thinking
🤔 Think about this:
A healthcare organisation wants to use NLP & Chatbots to assist doctors in diagnosing patients earlier. What data would the AI need? What challenges could arise? How can the team ensure the AI is fair, safe, and accurate?
Section 6 — What Did I Learn?
✅ Three key ideas I now understand:
❓ One question I still have:
⭐ Challenge Task
If you were designing an AI solution using NLP & Chatbots, what problem would you solve? Outline a 3-step plan: (1) Problem statement, (2) Data to collect, (3) How to verify accuracy.