Natural Language Processing (NLP) MCQ's




Question 271 :
is used to remove the suffixes from an English word and obtain its stem which becomes very useful in the field of Information Retrieval (IR).

  1. HMM Stemmer
  2. Porter Stemmer
  3. Markov Stemmer
  4. Bert Stemmer
  

Question 272 :
Natural language understanding is used in:

  1. natural language interfaces
  2. natural language front ends
  3. text understanding systems
  4. All of the mentioned
  

Question 273 :
It is the inverse probability of the test data which is normalized by the number of words. This is the definition of

  1. Language Model
  2. N-gram
  3. Perplexity
  4. Laplace smoothing
  

Question 274 :
Mujhe khaanna khaanna hai. What will be tag of third word in the given sentence.

  1. Noun
  2. Verb
  3. Adverb
  4. Auxiliary verb
  

Question 275 :
Identify the POS tag for the word nice in following sentence It was indeed a nice night?

  1. JJ
  2. JJR
  3. JJS
  4. RB
  

Question 276 :
Which derivational prefixes does not change the category of word to which they are attached?

  1. Re- - -Un
  2. -er
  3. -ize
  4. -ing
  

Question 277 :
What is transformation based learning?

  1. A machine learning technique,in which rules are automatically induced from the data.
  2. A machine learning technique,in which rules are manually induced from the data.
  3. A machine learning technique,in which rules are transformed into another data.
  4. A machine learning technique,in which rules are not used.
  

Question 278 :
_____ is a word with the most specific meaning

  1. hyponym
  2. synonymy
  3. hypernym
  4. homonyms
  

Question 279 :
One of the important factors for accurate machine translation is

  1. N-grams
  2. Resolving sense ambiguity
  3. Testing data
  4. Human translators
  

Question 280 :
Inferrables, discontinuos sets and ______ are the three types of referents that complicate the reference resolution problem.

  1. Indefinite Noun phrases
  2. demonstratives
  3. one anaphora
  4. generics
  

Question 281 :
Where did the first recognisable NLP application developed ?

  1. At Birkbeck College, London
  2. At IBM Research.
  3. At Thomas College , Newyork
  4. At the University of America
  

Question 282 :
Which is not one of the four frequently used meaning representations

  1. First Order Predicate Calculus (FOPC)
  2. Syntatic Network
  3. Semantic Network
  4. Conceptual Dependency diagram
  

Question 283 :
Cohesion : Textual Phenomenon : : Coherence : ?

  1. Textual Phenomenon
  2. Mental Phenomenon
  3. Physical Phenomenon
  4. No Phenomenon
  

Question 284 :
Dog is hyponym of

  1. Forest
  2. Human
  3. Animal
  4. Automobile
  

Question 285 :
Natural Language Processing can be divided into two su.bfields of

  1. syntax and semantics
  2. generation and understanding
  3. derivation and inflection
  4. text and speech
  

Question 286 :
Which application use to determine people in context?

  1. Stemming
  2. Lemmatization
  3. Stop word removal
  4. Named entity recognition
  

Question 287 :
In NLP, computer has to understand natural language in which format

  1. Text and/or speech
  2. Structured format
  3. Unstructured format
  4. XML format
  

Question 288 :
A grammar that produces more than one parse tree for some sentence is called

  1. Ambiguous
  2. Unambiguous
  3. Regular
  4. None of the mentioned
  

Question 289 :
Knowledge of the relationship of meaning to the goals and intentions of the speaker is

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

Question 290 :
Clock = digital - analog - alarm

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

Question 291 :
Consider the following sentences. The horse ran up the hill. It was very steep. It soon got tired. What type of ambiguity is introduced due to the word it?

  1. Syntactic
  2. Pragmatics
  3. Cataphoric
  4. Anaphoric
  

Question 292 :
Which of the following NLP tasks use sequential labeling technique?

  1. POS tagging
  2. Named entity recognition
  3. Speech recognition
  4. POS tagging - Named Entity Recognition - Speech recognition
  

Question 293 :
Which one of the following statement is false?

  1. The CFG can be converted to Chomsky normal form
  2. The CFG can be converted to Greibach normal form
  3. CFG is accepted by pushdown automata
  4. CFG is accepted by Chomsky normal form
  

Question 294 :
Which token of the following is lemmatized correctly by the rule given? (X) –sses ® -ss (X) –ies ® -i (X) –ss ® -ss (X) –s ® ϵ

  1. Buses
  2. Dogs
  3. Dog
  4. Courses
  

Question 295 :
The words Blood bank, Sperm bank and Egg bank are the example of,

  1. Polysemy
  2. Hypernym
  3. Antonym
  4. Metonymy
  

Question 296 :
what a speaker (or writer) assumes is true or known by a listener (or reader)

  1. presupposition
  2. spatial deixis
  3. supposition
  4. Pragmatics
  

Question 297 :
Clock = digital - analog - alarm

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

Question 298 :
I promise to come is which type of speech act?

  1. Commissives
  2. directives
  3. Declarations
  4. Representatives
  

Question 299 :
Which of the following word contains derivational as well as inflectional suffixes

  1. regularity
  2. carefully
  3. older
  4. availabilities
  

Question 300 :
the entity that is involved in or affected by the action, or that is simply being described (The boy kicked __> the ball.) (__>The ball was red.)

  1. denotation
  2. semantic features
  3. homophones
  4. theme (patient)
  
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