Natural Language Processing (NLP) MCQ's




Question 181 :
Computer Vs Computational Is An Example Of ______ Morphology.

  1. Inflectional
  2. Derivational
  3. Cliticization
  4. Information Retrieval
  

Question 182 :
It is not type of text summarization

  1. Extraction based
  2. Abstraction based
  3. Predicted based
  4. Information based
  

Question 183 :
Which Application Of Nlp Is Concerned With Intendifing Documents Relevant To A User'S Query?

  1. Speech Recognition
  2. Natural Language Interfaces To Db
  3. Information Extraction
  4. Information Retrieval
  

Question 184 :
Beverage = coffee - tea - shake, is example of ______

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

Question 185 :
Discourse Analysis Involves The Study Of Relationship Between?

  1. Programming Language And Contextual Foreground
  2. Language And Dictionary Background
  3. Dictionary And Knowledge
  4. Language And Contextual Background
  

Question 186 :
Which of the following instances the regular expression b(one|two|three)b' can recognize?

  1. one'
  2. onetwo'
  3. TWO'
  4. THREE'
  

Question 187 :
Which sentence describes inflectional morphology?

  1. Adding a morpheme to produce a new word but the same lexeme.
  2. Adding a morpheme to produce a new word and different lexeme.
  3. Adding a morpheme to produce the same word but different lexeme.
  4. Adding a morpheme to produce the same sentence but different lexeme.
  

Question 188 :
In POS, using discriminative approach, direction of flow is from class to words

  1. Yes
  2. No
  3. Depends on sentence
  4. Randomly
  

Question 189 :
A prepositional phrase consists of a preposition and its

  1. Object
  2. Subject
  3. Noun
  4. Verb
  

Question 190 :
Automatic document classification doesn't techniques include

  1. K-nearest neighbour algorithms
  2. Support vector machines (SVM)
  3. Predicate Logic
  4. Naive Bayes classifier
  

Question 191 :
The German authorities said a ‘Colombian’ who had lived for a long time in the Ukraine flew in from Kiev. ‘He’ had 300 grams of plutonium 239 in his baggage.' is an example of which type of reference?

  1. Nominative Pronoun
  2. Oblique Pronoun
  3. Possessive Pronoun
  4. Reflexive Pronoun
  

Question 192 :
What Can Be Used To Disambiguate Word Senses

  1. Selectional Restrictions
  2. Independent Restrictions
  3. No Restrictions
  4. All Restrictions
  

Question 193 :
Which Of The Following Technique Is Not A Part Of Flexible Text Matching?

  1. Soundex
  2. Metaphone
  3. Edit Distance
  4. Keyword Hashing
  

Question 194 :
A ___________ is a word that resembles a preposition or an adverb, and that often combines with a verb to form a larger unit called a phrasal verb

  1. Preposition
  2. Determiners
  3. Particle
  4. Adjectives
  

Question 195 :
Parts of speech can be divided into two broad supercategories, one supercategories is

  1. Sub Class
  2. Open Class
  3. Join Class
  4. Empty Class
  

Question 196 :
....................are the entities that have been previously introduced into the discourse.

  1. Anaphoras
  2. Cataphoras
  3. Pronouns
  4. derminers
  

Question 197 :
The process of assigning tags or categories to text according to its content is called

  1. Sentiment Analysis
  2. Text Summarization
  3. Information Retrival
  4. Text classification
  

Question 198 :
____ concerns how the immediately preceding sentences affect the interpretation of the next sentence

  1. Pragmatics
  2. Syntax
  3. Discourse
  4. Semantics
  

Question 199 :
two forms with opposite meanings

  1. antonyms
  2. synonyms
  3. Metonymy
  4. hyponymy
  

Question 200 :
Which of the following is TRUE about CRF (Conditional Random Field) and HMM (Hidden Markov Model)?

  1. CRF is generative model and HMM is discriminative model
  2. Both CRF and HMM are generative model
  3. CRF is discriminative model and HMM is generative model
  4. Both CRF and HMM are discriminative model
  

Question 201 :
Which of the following is the major problem in Machine Translation?

  1. Referential Ambiguity
  2. Stop word
  3. Emoticons
  4. Proper Noun
  

Question 202 :
Summarization which creates new phrases paraphrasing the original source.

  1. Extraction-based
  2. Abstraction-based
  3. Auto-correct
  4. None
  

Question 203 :
____________ POS tagger uses probabilities.

  1. Rule based
  2. Stochastic
  3. Procedure based
  4. Object based
  

Question 204 :
A web link within a web page that references another part of the same page is called a:

  1. Out link
  2. Vector
  3. In link
  4. Tendril
  

Question 205 :
A grammar that produces more than one parse tree for the same sentence is called as _______

  1. Contiguous
  2. Ambiguous
  3. Unambiguous
  4. Regular
  

Question 206 :
_____________ is not a module in question answering system

  1. Question Analysis
  2. Answer Selection
  3. Sentiment Analysis
  4. Information Retrieval
  

Question 207 :
In the context of POS tagging, the objective would be to build an HMM to model P(____ | ___) and Compute the label probabilities given observations using _____ Rule.

  1. Value, Label, Markov
  2. Word, Tag, Bayes
  3. Attribute, Variable, Bayes
  4. Input, Label, Markov
  

Question 208 :
When Training A Language Model, If We Use An Overly Narrow Corpus, The Probabilities

  1. Don’T Reflect The Task
  2. Reflect All Possible Wordings
  3. Reflect Intuition
  4. Don’T Generalize
  

Question 209 :
Sentence Realization

  1. Syntactic Analysis
  2. Discourse Analysis
  3. Semantic Analysis
  4. Pragmatic Analysis
  

Question 210 :
The bigram model approximates the probability of a word given all the previous words by using:

  1. The conditional probability of all the previous words
  2. The maximum likelihood estimation of the given word
  3. Only the conditional probability of the preceding word
  4. The maximum likelihood estimation of the preceding word
  
Pages