Natural Language Processing (NLP) MCQ's




Question 391 :
Software designed for taking i/p data(text) and give structural representation of the input after checking the correct syntax or grammar is

  1. Compiler
  2. Parser
  3. Painter
  4. Easydraw
  

Question 392 :
Stemming for the word cries is _____

  1. cry
  2. cries
  3. cri
  4. ies
  

Question 393 :
Hyponym is

  1. Parent node
  2. Child node
  3. Root node
  4. Part of centre node
  

Question 394 :
How many ambiguties exist in the following sentence. I know little Italian.

  1. 1
  2. 3
  3. 2
  4. 0
  

Question 395 :
Which Is The Type Of Morphology That Changes The Word Category And Affects The Meaning

  1. Inflectional
  2. Derivational
  3. Cliticization
  4. Rational
  

Question 396 :
What is full form of NLP?

  1. Natural Language Processing
  2. Natural Language Procedure
  3. Natural Language Process
  4. Natural Language pages
  

Question 397 :
The relatedness of polysemy is essentially based on similarity. ___ is using one to refer to the other.

  1. Synonyms
  2. Metonymy
  3. Antonyms
  4. Hyponym
  

Question 398 :
Which of the following best describes grammar induction?

  1. Supervised learning problem
  2. Maximum-A-Posteriori (MAP) estimation problem
  3. Conditional Random Field problem and Unsupervised learning problem
  4. Reinforcement Learning
  

Question 399 :
Which Algorithm Is Used For Solving Temporal Probabilistic Reasoning?

  1. Hidden Markov Model
  2. Breadth-First Search
  3. Hill-Climbing Search
  4. Depth-First Search
  

Question 400 :
Reason for stop word removal

  1. Stop word slow down processing
  2. Stop word enhance speed of searching
  3. Stop word removal programs are easily available
  4. This is routine pre processing without any benefit
  

Question 401 :
Human Usually Write ’M, To State Am, In Which Type Of Morphology You Can Categorize The Example?

  1. Plural Noun
  2. Cliticization
  3. Singular Noun
  4. Inflectional
  

Question 402 :
Assume a corpus with 350 tokens in it. We have 20 word types in that corpus (V = 20). The frequency (unigram count) of word types 'short' and 'fork' are 25 and 15 respectively. Which of the following is the probability of 'short' (PMLE('short'))?

  1. 25/350
  2. 26/370
  3. 26/350
  4. 25/370
  

Question 403 :
Assume that there are 10000 documents in a collection. Out of these, 50 documents contain the terms 'difficult task'. If 'difficult task' appears 3 times in a particular document, what is the TFIDF value of the terms for that document?

  1. 8.11
  2. 15.87
  3. 0
  4. 81.1
  

Question 404 :
Famous Tag set for English

  1. Penn Treebank
  2. OXFORD ENGLISH CORPUS PART-OF-SPEECH TAGSET
  3. ENGLISH CLAWS PART-OF-SPEECH TAGSET
  4. NLTK
  

Question 405 :
The Area Of Ai That Investigates Methods Of Facilitating Communication Between People And Computers Is:

  1. Natural Language Processing
  2. Symbolic Processing
  3. Decision Support
  4. Robotics
  

Question 406 :
How is the word change stemmed using Porter Stemmer?

  1. chan
  2. chang
  3. change
  4. cha
  

Question 407 :
Which of the following is a example of irregular noun form?

  1. Fox
  2. Dog
  3. Mouse
  4. Cat
  

Question 408 :
In a HMM, the possible state transitions are from state JJ to states NN, VB, JJ and RB. Following are the known state transitions probabilities; P(NN|JJ) = 1/4. P(VB|JJ) = 1/6, and P(JJ|JJ) = 1/3. What is the transition probability value of P(RB|JJ)?

  1. 43834
  2. 43832
  3. 43835
  4. 43833
  

Question 409 :
I Met This Girl Earlier In A Conference. In This Statement, This Is Known As Which Type Of Reference In The Discourse Context?

  1. Definite Refernce
  2. Indefinite / Non-Anaphoric Reference
  3. Pronominal Refenece
  4. Demonstrative Reference
  

Question 410 :
Correct machine translation from English to Hindi for sentence: House temperature

  1. Ghar tapman
  2. Ghar ka tapman
  3. Ghar ka temperature
  4. House ka tapman
  

Question 411 :
In an HMM, observation likelihoods measure

  1. The likelihood of a POS tag given a word
  2. The likelihood of a POS tag given the preceding tag
  3. The likelihood of a word given a POS tag
  4. The likelihood of a POS tag given two preceding tags
  

Question 412 :
Which is the process whereby meaning representations are composed and assigned to linguistic inputs

  1. Semantic analysis
  2. Lexical analysis
  3. Syntax Analysis
  4. Morphology Analysis
  

Question 413 :
I almost bought an Acura Integra today, but a door had a dent and the engine seems noisy.' This is an example of which type of referring expression

  1. Reflexive
  2. Gender Agreement
  3. Inferrable
  4. Selectional Restriction
  

Question 414 :
Which of the following are Anchors in regular expression?

  1. * and +
  2. ^ and $
  3. ? and {}
  4. /d and /w
  

Question 415 :
Has the coexistence of many possible related meanings for a word or phrase

  1. Hyponymy
  2. Polysemy
  3. Clines
  4. Contranyms
  

Question 416 :
Which of the following features can be used for accuracy improvement of a classification model?

  1. Part of Speech Tag
  2. Dependency Grammar
  3. Vector Notation of sentence
  4. Part of Speech Tag - Dependency Grammar - Vector Notation of sentence
  

Question 417 :
What is tokenization?

  1. Breaking sentences into words
  2. Creating a set of dictonories
  3. Removing repetation
  4. printing words
  

Question 418 :
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. Separate sentences into individual morphemes and identify the class of the morphemes
  

Question 419 :
Over-stemming can also be regarded as __________________.

  1. False-Positives
  2. False-Negative
  3. True-Positive
  4. True-Negative
  

Question 420 :
Regular expressions are combination of simple units as given in options, select incorrect unit.

  1. Character or string
  2. Concatenation
  3. Kleen star
  4. Conjunction
  
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