Curriculum
Grade XI AI
Lessons
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Unit 1-Introduction: AI for Everyone
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Unit 2-Unlocking your Future in AI
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Unit 3-Python Programming
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Unit 4-Introduction to Capstone Project
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Unit 5-Data Literacy
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Unit 6-Machine Learning Algorithms
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Unit 7-Leveraging Linguistics and Computer Science (NLP)
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Unit 8-AI Ethics and Values
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Notes
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Unit 7-Leveraging Linguistics and Computer Science (NLP)
School Revise · Class 11 Artificial Intelligence · Unit 7
Leveraging Linguistics and Computer Science (NLP)
Code 843, Class 11. NLP lets computers understand language. Here we learn how machines read text and how chatbots work.
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What this unit is about
Natural Language Processing (NLP) is the part of AI that helps computers understand and use human language, in text or speech.
1. How machines read text
To understand text, a machine first breaks it into words, a step called tokenisation. It then removes very common words and looks at the important ones to find the meaning.
2. Everyday NLP
NLP powers chatbots, voice assistants, translation, and spam filters. These read what you type or say and respond helpfully.
3. Why language is hard
Human language is tricky: the same word can have different meanings, and tone and context matter. NLP keeps improving to handle this.
Practise with the interactive
Explore the idea by tapping. The interactive opens right here in the lesson.
Practice set A, multiple choice
1. NLP stands for …
Natural Language Processing.
2. Breaking text into words is called …
tokenisation.
3. A program you can chat with is a …
chatbot.
4. NLP that turns one language into another is …
translation.
Practice set B, short answer
1. What is Natural Language Processing?
The part of AI that helps computers understand and use human language.
2. What is tokenisation?
Breaking text into words.
3. Give two everyday uses of NLP.
Any two: chatbots, voice assistants, translation, spam filters.
Quick summary
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Natural Language Processing (NLP) helps computers understand and use human language. To read text, a machine tokenises it (breaks it into words), removes common words and finds the meaning. NLP powers chatbots, voice assistants, translation and spam filters. Language is hard because words have many meanings and context matters, so NLP keeps improving. |
| Open the Virtual Lab |
These free Class 11 Artificial Intelligence (Code 843) notes explain natural language processing, tokenisation, chatbots and voice assistants, translation, and why language is hard for machines with clear examples and practice, for CBSE students across India and the Gulf including the UAE, Saudi Arabia, Qatar, Oman, Kuwait and Bahrain.
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