Artificial intelligence and robotics mcqs sppu unit 4

Artificial intelligence and robotics mcq SPPU questions and answers

1. Information retrieval systems have much in common with

1. Filing systems
2. Transaction systems
3. Database systems
4. Management systems

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2. Natural Language Processing is form of artificial intelligence that helps machine “read” text by simulating _ ability to understand language

1. Text
2. human
3. lexical
4. program

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3. NLG stand for____

1. Named Language Generation
2. Named Linked Generation
3. Natural Language Genration
4. None of above

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4. Lexical Analysis is one of the steps for Natural Language Processing

1. TRUE
2. FALSE

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5. Code generation is one of the steps for Natural Language Processing

1. TRUE
2. FALSE

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6. What is plasticity in neural networks?

1. input pattern keeps on changing
2. input pattern has become static
3. output pattern keeps on changing
4. output is static

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7. Semantic Analysis is one of the steps for Natural Language Processing

1. TRUE
2. FALSE

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8. Natural Language Genration process includes

1. Text Realization
2. Syntatic Analysis
3. Integration
4. None of above

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9. Inductive learning is ______________learning technique

1. unSupervised
2. Supervised
3. reinforcement
4. None of above

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10. What is the field of Natural Language Processing (NLP)?

1. Computer Science
2. Artificial Intelligence
3. Linguistics
4. All of the mentioned

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AIR mcq sppu

11. Disclosure integration is one of the steps for Natural Language Processing

1. TRUE
2. FALSE

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12. NLP is concerned with the interactions between computers and human (natural) languages.

1. TRUE
2. FALSE

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13. What is the main challenge/s of NLP?

1. Handling Ambiguity of Sentences
2. Handling Tokenization
3. Handling POS-Tagging
4. All of the mentioned

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14. Modern NLP algorithms are based on machine learning, especially statistical machine learning.

1. TRUE
2. FALSE

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15. Choose form the following areas where NLP can be useful.

1. Automatic Text Summarization
2. Automatic Question-Answering Systems
3. Information Retrieval
4. All of the mentioned

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16. Which of the following includes major tasks of NLP?

1. Automatic Summarization
2. Discourse Analysis
3. Machine Translation
4. All of the mentioned

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17. What is Coreference Resolution?

1. Anaphora Resolution
2. Given a sentence or larger chunk of text, determine which words (“mentions”) refer to the same objects (“entities”)
3. All of the mentioned
4. None of the mentioned

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18. What is Machine Translation?

1. Converts one human language to another
2. Converts human language to machine language
3. Converts any human language to English
4. Converts Machine language to human language

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19. The more general task of coreference resolution also includes identifying so-called “bridging relationships” involving referring expressions

1. TRUE
2. FALSE

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Artificial Intelligence and Robotics mcqs questions

20. What is Morphological Segmentation?

1. Does Discourse Analysis
2. Separate words into individual morphemes and identify the class of the morphemes
3. Is an extension of propositional logic
4. None of the mentioned

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21. Natural Language generation is the main task of Natural language processing

1. TRUE
2. FALSE

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22. Given a stream of text, Named Entity Recognition determines which pronoun maps to which noun

1. TRUE
2. FALSE

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23. OCR (Optical Character Recognition) uses NLP.

1. TRUE
2. FALSE

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24. Parts-of-Speech tagging determines _

1. part-of-speech for each word dynamically as per meaning of the sentence
2. part-of-speech for each word dynamically as per sentence structure all
3. part-of-speech for a specific word given as input
4. all of the mentioned

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25. Parsing determines Parse Trees (Grammatical Analysis) for a given sentence

1. TRUE
2. FALSE

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26. IR (information Retrieval) and IE (Information Extraction) are the two same thing.

1. TRUE
2. FALSE

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27. Many words have more than one meaning; we have to select the meaning which makes the most sense in context. This can be resolved by __

1. Fuzzy Logic
2. Word Sense Disambiguation
3. Shallow Semantic Analysis
4. All of the mentioned

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28. Given a sound clip of a person or people speaking, determine the textual representation of the speech.

1. Text-to-speech
2. Speech-to-text
3. All of the mentioned
4. None of the mentioned

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29. Speech Segmentation is a subtask of Speech Recognition.

1. TRUE
2. FALSE

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30. In linguistic morphology _ is the process for reducing inflected words to their root form.

1. Rooting
2. Stemming
3. Text-Proofing
4. Both Rooting & Stemming

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31. Probability of error in recall of stored patterns can be reduced if?

1. patterns are stored appropriately
2. inputs are captured appropriately
3. weights are chosen appropriately
4. none of the mentioned

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32. What is pattern environment?

1. probability of desired patterns
2. probability of given patterns
3. behaviour of system
4. none of the mentioned

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33. What should be the aim of training procedure in boltzman machine of feedback networks?

1. to capture inputs
2. to feedback the captured outputs
3. to capture the behaviour of system
4. none of the mentioned

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34. What consist of boltzman machine?

1. fully connected network with both hidden and visible units
2. asynchronous operation
3. stochastic update
4. all of the mentioned

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35. What’s the main point of difference between human & machine intelligence?

1. human perceive everything as a pattern while machine perceive it merely as data
2. human have emotions
3. human have more IQ & intellect
4. human have sense organs

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36. Does pattern classification belongs to category of non-supervised learning?

1. yes
2. no

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37. What is unsupervised learning?

1. features of group explicitly stated
2. number of groups may be known
3. neither feature & nor number of groups is known
4. none of the mentioned

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38. Does pattern classification & grouping involve same kind of learning?

1. yes
2. no

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39. Does for feature mapping there’s need of supervised learning?

1. yes
2. no

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40. Example of a unsupervised feature map?

1. text recognition
2. voice recognition
3. image recognition
4. none of the mentioned

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