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Important Questions

Natural Language Processing (NLP)

ICSE · Class 11 · Artificial Intelligence

Most important questions from Natural Language Processing (NLP) for ICSE Class 11 Artificial Intelligence board exam 2026. MCQs, short answer, and long answer questions with marks.

65 questions45 flashcards5 concepts

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65 Questions·
multiple choicemultiple correct

Sample Questions

1multiple choice
1 marks

Why is NLP difficult for computers?

Show answer

Human speech is often ambiguous and not highly structured

Computers need precise and structured input, while human language can be unclear and ambiguous.

2multiple choice
1 marks

Which character is given as an example of a low-level rule in natural language?

Show answer

s

The character 's' is used as an example of a low-level rule because it can show plurality.

3multiple choice
1 marks

What does text generation mean in NLP?

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An AI system producing written content that imitates human language patterns and styles

Text generation means creating written output that sounds human-like.

4multiple choice
1 marks

Which language models are given as examples at the core of text generation?

Show answer

GPT and Google's PaLM

GPT and Google's PaLM are the language models named for text generation.

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Frequently Asked Questions

What are the important topics in Natural Language Processing (NLP) for ICSE Class 11 Artificial Intelligence?
Natural Language Processing (NLP) covers several key topics that are frequently asked in ICSE Class 11 board exams. Focus on the core concepts listed on this page and practise related questions to build confidence.
How to score full marks in Natural Language Processing (NLP) — ICSE Class 11 Artificial Intelligence?
Understand the core concepts first, then work through the 65 practice questions available for this chapter. Revise formulas and definitions regularly, and use flashcards for quick recall before the exam.
How many important questions are there in Natural Language Processing (NLP)?
There are 65 practice questions available for Natural Language Processing (NLP). These cover multiple question types including MCQs, short answer, and long answer questions.

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