NLP Natural Language Processing MCQ's




Question 331 :
What Is The Number Of Trigrams In A Normalized Sentence Of Length N Words?

  1. N
  2. N-1
  3. N-2
  4. N-3
  

Question 332 :
Which Of The Following Statement Is(Are) True For Word2Vec Model?

  1. The Architecture Of Word2Vec Consists Of Only Two Layers – Continuous Bag Of Words And Skip-Gram Model
  2. Continuous Bag Of Word (Cbow) Is A Recurrent Neural Network Model
  3. Cbow And Skip-Gram Are Shallow Neural Network Models
  4. Convolutional Neural Networks
  

Question 333 :
Tf-Idf Helps You To Establish?

  1. Most Frequently Occurring Word In The Document
  2. Most Important Word In The Document
  3. Most Important Sentence In The Document
  4. Most Frequently Occurring Sentence In The Document
  

Question 334 :
Which of the following is true?

  1. Given a CFG and its corresponding CNF, they both produce the same language.
  2. For a given grammar, there can be only one CNF.
  3. It requires ‘2n+1’ productions or steps in CNF to generate a string w of length ‘n’.
  4. CFG and CNF both are same
  

Question 335 :
A Bidirectional Feedback Loop Links Computer Modelling With:

  1. Artificial Science
  2. Heuristic Processing
  3. Human Intelligence
  4. Cognitive Science
  

Question 336 :
The standard approach to information retrieval system evaluation involves around the notion of:

  1. Quantity of documents in the collection
  2. Relevant and non relevant documents.
  3. Accuracy
  4. user happiness
  

Question 337 :
Automatic text Summarization is not useful for

  1. Create short summary
  2. Reducing reading time
  3. Accelerate the research
  4. Improves redundancy
  

Question 338 :
Identify correct POS for a given sentence I am a boxer

  1. DET aux. verb DET NN
  2. PRP aux. verb DET PRP
  3. NN verb DET NN
  4. PRP aux. verb DET NN
  

Question 339 :
Which Among The Following Is Important Component Of Natural Language Processig?

  1. Representation
  2. Description
  3. Exposion
  4. Narration
  

Question 340 :
Which Historical event is related to NLP

  1. First World War
  2. Second World War
  3. American Revolution
  4. French Revolution
  

Question 341 :
What is anaphora?

  1. repetition of a phrase at the end of sentences
  2. repetition of a phrase at the beginning of sentences
  3. repetition of a phrase in the middle of sentences
  4. repetition of a phrase in a direct row
  

Question 342 :
Which would definitely be rejected by the English syntactic analyzer?

  1. Rahul is going to school
  2. Rahul is Coming from School
  3. Rahul is in the school
  4. The Rahul the go to the school
  

Question 343 :
Which of the below are NLP use cases?

  1. Detecting objects from an image
  2. Facial Recognition
  3. Text Summarization
  4. Speech Biometric
  

Question 344 :
How many DFA’s exits with two states over input alphabet {0,1} ?

  1. 16
  2. 26
  3. 32
  4. 64
  

Question 345 :
Inferrables, discontinuos sets, generics are the three types of referents that complicate the _________ problem.

  1. Word sense disambiguation
  2. discourse
  3. reference resolution
  4. pragmatics
  

Question 346 :
Which Of The Following Is An Nlp Task That Involves Determining All Referring Expressions That Point To The Same Real-World Entity?

  1. Coreference Resolution
  2. Named Entity Recognition
  3. Information Extraction
  4. Stop Word
  

Question 347 :
Tool, instrument, implement, organ, utensil __is example of ______

  1. Homonym
  2. Antonym
  3. Hyponymy
  4. Synonymy
  

Question 348 :
Which of the following techniques is most appropriate to the process of word normalization

  1. Stemming
  2. Lemmatization
  3. Stop word removal
  4. Rooting
  

Question 349 :
Which of the following NLP tasks use sequential labeling technique?

  1. POS tagging
  2. Named Entity Recognition
  3. Speech recognition
  4. All of the above
  

Question 350 :
Which class words are limited in number

  1. Open class
  2. Closed class
  3. Tree bank
  4. Dictionary
  

Question 351 :
Which python library use to implement natural language processing?

  1. NLTK
  2. Scrapy
  3. Matplotlib
  4. Pydot
  

Question 352 :
He lifted the beetle with red cap. contain which type of ambiguity?

  1. Lexical ambiguity
  2. Syntax Level ambiguity
  3. Referential ambiguity
  4. Semantic Ambiguity
  

Question 353 :
Which is not a POS tagging approaches

  1. Rule based POS tagging
  2. Stochastic POS tagging
  3. Transformation based Tagging
  4. Fuzzy logic based Tagging
  

Question 354 :
the entity that performs the action; can be human or non-human (__>The boy kicked the ball.)

  1. agent
  2. source
  3. instrument
  4. hyponym
  

Question 355 :
I bought a beautiful dress at the mall. The part of speech of underline word is_____

  1. Preposition
  2. Adjective
  3. Noun
  4. Adverb
  

Question 356 :
We always play football after work. Which is a prepositional phrase?

  1. Always play football
  2. After work
  3. Always play
  4. Football after
  

Question 357 :
Regular expressions are

  1. case neutral
  2. case sensitive
  3. case exclusive
  4. Depends on the expressions
  

Question 358 :
HMM are designed to model the joint distribution P(H , O) , where H is the _____state and O is the ________ state

  1. Hidden, Observed
  2. Unobservable, Hidden
  3. Classified, Completed
  4. Open, Completed
  

Question 359 :
Which is not the Classification levels in Sentiment Analysis

  1. Document-level
  2. Character-level
  3. Aspect-level
  4. Sentence-level
  

Question 360 :
What is outcome thinking?

  1. Knowing what you want rather than what you don’t want.
  2. Know about others
  3. Know about the society None
  4. language
  
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