Class 10 Artificial Intelligence

Natural Language Processing

52 Class 10 Artificial Intelligence questions on Natural Language Processing from the CBSE board papers 2022–2026, each with its answer and a step-by-step solution.

Questions · page 1 of 3

Q1 CBSE 2026
Consider the following sentence : On seeing her son’s result, Pooja’s face turned red with anger. The word “red” demonstrates which characteristic of natural language ?
1. (a)Redundancy
2. (b)Context-dependent meaning
3. (c)Grammatical structure
4. (d)Temporal change
Show answer

(b) Context-dependent meaning

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Q2 CBSE 2026
You are developing a chatbot for a university admission system. The bot should understand queries like “What are the admission requirements ?” and “When is the deadline ?”. Which NLP stages would be most critical for this application ?
1. (a)Only Lexical Analysis
2. (b)Lexical and Syntactic Analysis
3. (c)All stages from Lexical to Pragmatic Analysis
4. (d)Only Semantic Analysis
Show answer

(c) All stages from Lexical to Pragmatic Analysis

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Q3 CBSE 2026
Which NLP application helps in converting natural speech into text in real time ?
1. (a)Keyword Extraction tool
2. (b)Translation of books from English to Hindi language
3. (c)Auto generated captions on YouTube
4. (d)Classifying raw text into pre-defined groups
Show answer

(c) Auto generated captions on YouTube

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Q4 CBSE 2026
Read the Assertion (A) and the Reason (R) given below and select the correct option.
Assertion (A): Sentiment analysis can help businesses improve customer service.
Reason (R): It automatically detects emotions when customers interact with products or services.
1. (a)Both (A) and (R) are true, and (R) is the correct explanation of (A).
2. (b)Both (A) and (R) are true, but (R) is not the correct explanation of (A).
3. (c)(A) is true, but (R) is false.
4. (d)(A) is false, but (R) is true.
Show answer

(a) Both (A) and (R) are true, and (R) is the correct explanation of (A).

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Q5 CBSE 2026
Which type of chat bot requires coding and works on bigger databases directly ?
1. (a)Script bot
2. (b)Smart bot
3. (c)Traditional bot
4. (d)Rule-based bot
Show answer

(b) Smart bot

Step-by-step solution →
Q6 CBSE 2026
With reference to text normalization, which of the following is NOT an example of a Stop Word ?
1. (a)into
2. (b)as
3. (c)$
4. (d)healed
Show answer

(d) healed

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Q7 CBSE 2026
Read the Assertion (A) and the Reason (R) given below and select the correct option.
Assertion (A): Converting text to lowercase is preferable in text preprocessing.
Reason (R): It ensures that “Hello” and “hello” are treated as the same word by the machine.
1. (a)Both (A) and (R) are true and (R) is the correct explanation of (A).
2. (b)Both (A) and (R) are true, but (R) is not the correct explanation of (A).
3. (c)(A) is true, but (R) is false.
4. (d)(A) is false, but (R) is true.
Show answer

(a) Both (A) and (R) are true and (R) is the correct explanation of (A).

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Q8 CBSE 2026
The sentence “hot ice cream” would be rejected at which stage of NLP processing ?
1. (a)Lexical Analysis
2. (b)Syntactic Analysis
3. (c)Semantic Analysis
4. (d)Discourse Integration
Show answer

(c) Semantic Analysis

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Q9 CBSE 2026
A company wants to analyze customer reviews to understand satisfaction levels. Which NLP application would be most suitable ?
1. (a)Text classification
2. (b)Sentiment analysis
3. (c)Keyword extraction
4. (d)Language translation
Show answer

(b) Sentiment analysis

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Q10 CBSE 2026
Which NLP application would be most useful for a hearing-impaired person watching a live news broadcast ?
1. (a)Language translation
2. (b)Voice assistants
3. (c)Auto-generated captions
4. (d)Sentiment analysis
Show answer

(c) Auto-generated captions

Step-by-step solution →
Q11 CBSE 2026

How is Stemming different from Lemmatization ? Explain how the word “Wolves” would be processed by stemming and lemmatization.

Show answer

Stemming gives a stem that may be meaningless, lemmatization an always meaningful lemma; Wolves becomes Wolv by stemming and Wolf by lemmatization.
Stemming removes affixes to give a stem that may not be meaningful; lemmatization gives a lemma that is always a meaningful word. Wolves: stemming gives Wolv, lemmatization gives Wolf.

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Q12 CBSE 2026

With reference to NLP, list the first four steps involved in text normalization.

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The first four steps are sentence segmentation, tokenization, removing stop words, special characters and numbers, and converting the text to a common case.
Text normalization begins with these four steps: Sentence Segmentation. Tokenization. Removing stop words, special characters and numbers. Converting the text to a common case.

Step-by-step solution →
Q13 CBSE 2026

Consider the following documents : Document 1 : Data Science requires information. Document 2 : Information analysis requires data. Implement all the four steps of Bag of Words (BoW) model to create a document vector table.

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The dictionary is data, science, requires, information, analysis; Document 1 is $[1, 1, 1, 1, 0]$ and Document 2 is $[1, 0, 1, 1, 1]$ .
Step 1, text normalisation: Document 1 becomes data, science, requires, information and Document 2 becomes information, analysis, requires, data. Step 2, the dictionary of unique words is data, science, requires, information, analysis. Step 3, the document vector of Document 1 is $1, 1, 1, 1, 0$ . Step 4, the document vector table adds Document 2 as $1, 0, 1, 1, 1$ .

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Q14 CBSE 2026

Consider the following documents : Document 1 : AI helps humans daily. Document 2 : Humans use AI technology. Implement all the four steps of Bag of Words (BoW) model to create a document vector table.

Show answer

The six-word dictionary gives vector $1, 1, 1, 1, 0, 0$ for Document 1 and $1, 0, 1, 0, 1, 1$ for Document 2.
Step 1, text normalisation: Document 1 becomes ai, helps, humans, daily and Document 2 becomes humans, use, ai, technology. Step 2, the dictionary holds the six unique words ai, helps, humans, daily, use, technology. Step 3, counting them in Document 1 gives the vector $1, 1, 1, 1, 0, 0$ . Step 4, Document 2 gives $1, 0, 1, 0, 1, 1$ , and the two rows together are the document vector table.

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Q15 CBSE 2025
Which of the following words represents an example of stemming for “Sharing” ?
1. (a)Share
2. (b)Shared
3. (c)Shares
4. (d)Shar
Show answer

(d) Shar

Step-by-step solution →
Q16 CBSE 2025
A corpus contains 4 documents in which the words such as ‘an, is, the’ were appearing frequently. Identify the term that is used for such words.
1. (a)Stop word
2. (b)Rare word
3. (c)Missing word
4. (d)Removable word
Show answer

(a) Stop word

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Q17 CBSE 2025
Which application of NLP helps to provide an overview of a news item or blog post ? It also avoids redundancy from multiple sources and maximises the diversity of content obtained.
1. (a)Virtual Assistants
2. (b)Sentiment Analysis
3. (c)Text Classification
4. (d)Automatic Summarization
Show answer

(d) Automatic Summarization

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Q18 CBSE 2025
In the sentence “She reads the book”, which of the following is a stop-word that should be removed during text preprocessing ?
1. (a)She
2. (b)reads
3. (c)the
4. (d)book
Show answer

(c) the

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Q19 CBSE 2025
In Natural Language Processing (NLP), ___________ occur/s very frequently in the corpus but do/does not add any value to it.
1. (a)Text Normalisation
2. (b)Stop words
3. (c)Start words
4. (d)Tokenisation
Show answer

(b) Stop words

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Q20 CBSE 2025
The first step of Bag of Words algorithm is Text Normalisation. Which of the following task is done in this step ?
1. (a)Creating document vectors
2. (b)Collecting and pre-processing data
3. (c)Adding the words to a dictionary
4. (d)Creating a vector of words
Show answer

(b) Collecting and pre-processing data

Step-by-step solution →