Page 302 - AI Ver 1.0 Class 10
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4. What do tokens refer to?
a. Sentences b. Words
c. Documents d. Corpus
5. Which of the following is not a Stopword?
a. This b. is
c. then d. Machine
6. What does TF-IDF stand for?
a. Term Frequency and Inverse Document Frequency
b. Terminal Frequency and Increased definition frequency
c. Termed Frequency and Invariable Defined Frequency
d. Term Frequency and Inefficient Document Frequency
7. Which of the following refers to the meaning of the word in a sentence which helps in interpreting the proper message
of the complete structure of words?
a. Syntax b. Semantics
c. Analogy d. Language
8. Which of these is the frequency of a word in one document?
a. Term Frequency b. Sentence segmentation
c. Text Normalisation d. Computer Language
9. What is the process of dividing a block of sentences into individual sentences?
a. Object Detection b. Sentence Segmentation
c. Word Tokenization d. Corpus
10. ………………………. helps machines understand and interpret a text sentence to provide a relevant response.
a. NLP b. IoT
c. Augmented Reality d. CV
11. Which of the following is an example of applications of NLP?
a. Deep learning b. Modelling
c. Automatic Summarization d. Problem Scoping
12. CBT stands for ………………………. .
a. Computer Based Therapy b. Combined Batch of Training
c. Cognitive Behavioural Therapy d. Computer Basic Training
13. ………………………. is the sub-field of AI that is focused on enabling computers to understand and process
human languages. [CBSE Sample Paper, 2021]
a. Deep Learning b. Machine Learning
c. NLP d. Data Sciences
300 Touchpad Artificial Intelligence-X

