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Syllabus

Natural Language Processing (NLP) — Syllabus

ICSE · Class 11 · Artificial Intelligence

What Natural Language Processing (NLP) covers in ICSE Class 11 Artificial Intelligence: 4 topics, for the 2026-27 session.

65 questions45 flashcards5 concepts

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4 Topics · ICSE Class 11 Artificial Intelligence · 2026-27

Topics in Natural Language Processing (NLP)

1

1. Natural Language Processing: Core Idea

  • NLP is a sub-field of AI focused on enabling computers to understand and process human languages.
  • Natural language refers to language spoken and written by people.
  • NLP attempts to extract information from spoken and written words using algorithms.
2

2. Text Generation

  • Text generation is a process where an AI system produces written content, imitating human language patterns and styles.
  • Text generation models predict the next word in a sequence to generate coherent text.
  • Language models such as GPT and Google's PaLM are at the core of text generation.
3

3. Text Understanding and NLU

  • Text understanding is also known as Natural Language Understanding (NLU).
  • NLU is a branch of AI that uses computer software to understand input in the form of sentences using text or speech.
  • NLU focuses on meaning and context, not on generating text.
4

4. Machine Translation

  • Machine translation uses AI and machine learning algorithms to automatically translate text or speech from one language to another.
  • It leverages NLP techniques to convert language between different languages.
  • Statistical Machine Translation uses statistical models to learn probabilities of word and phrase correspondences between languages.

Key Concepts

Central concept: Natural Language Processing (NLP)

Human Language vs Computer LanguageUnstructured DataPurpose of NLPWhy NLP is DifficultText GenerationLanguage ModelsText Generation ApplicationsText Generation Limitations

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Frequently Asked Questions

What are the important topics in Natural Language Processing (NLP) for ICSE Class 11 Artificial Intelligence?
Key topics in Natural Language Processing (NLP) include Natural Language Processing: Core Idea, Text Generation, Text Understanding and NLU, Machine Translation. Study these first, then practise questions on each for Class 11 exams.
How should I revise Natural Language Processing (NLP) for Class 11 exams?
Learn the core ideas first, then work through the 65 practice questions on Natural Language Processing (NLP). Revise definitions regularly and use flashcards for quick recall before the exam.

Sources & Official References

Content is aligned to the official syllabus. Refer to the board website for the latest curriculum.

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