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(a) If both A and R are true and R is the correct explanation of A
(b) If both A and R are true and R is not the correct explanation of A
(c) If A is true but R is false
(d) If A is false but R is true
1. Assertion (A): Speech Recognition technology is a core component of Voice User Interfaces (VUIs).
Reason (R): NLP plays a crucial role in understanding and responding to spoken commands in
applications such as Siri and Google Assistant.
2. Assertion (A): Converting the entire text into lowercase following stop word removal is a crucial pre-
processing step in natural language processing.
Reason (R): This process ensures uniformity in word representation, preventing the machine from
treating words with different cases as distinct entities, thereby enhancing the accuracy of subsequent
text analysis.
3. Assertion (A): Removing stopwords improves NLP model efficiency.
Reason (R): Stopwords like “is”, “the”, and “in” add significant meaning to text processing.
AI Fun Zone
21st
Century Project-based Learning
Skills
Skills
Skills
1. Samiksha, a student of class X was exploring the Natural Language Processing domain. But, she got stuck
while performing the text normalisation. Help her to normalise the text on the segmented sentences
given below:
Document 1: Akash and Ajay are best friends.
Document 2: Akash likes to play football but Ajay prefers to play online games.
Through a step-by-step process, calculate TFIDF for the given corpus:
Document 1: Johny Johny Yes Papa, Document 2: Eating sugar? No Papa
Document 3: Telling lies? No Papa Document 4: Open your mouth, Ha! Ha! Ha!
(Use a calculator to perform calculations involving logarithm)
2. Prepare a PowerPoint presentation on the topic ‘‘AI Translator’’ based on the Speech Recognition
technology.
Competency Based Questions
1. Amit and Daksh wanted to develop a chatbot application for their AI project. Amit decided to make a
rule-based chatbot, while Daksh decided to develop an AI-based chatbot. What is the primary difference
between rule-based and AI-based chatbots?
a. Rule-based chatbots can learn from conversations, while AI-based chatbots follow predefined scripts.
b. AI-based chatbots use NLP and machine learning, whereas rule-based chatbots follow predefined
rules.
c. Rule-based chatbots require large datasets to function effectively.
d. AI-based chatbots do not require training data.
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