Natural Language Processing (NLP) MCQ's




Question 601 :
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 602 :
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
  

Question 603 :
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 604 :
Which is not the Classification levels in Sentiment Analysis

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

Question 605 :
Regular expressions are

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

Question 606 :
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 607 :
Speech Acts is defined as

  1. Using paralinguistic features when speaking
  2. The awareness of others' needs to be approved of and liked
  3. Communicative acts that carry meaning beyond the words and phrases used within them, for example, apologies and promises
  4. The reference of others is important
  

Question 608 :
Correct rule to write noun phrase for the sentence 'The foggy morning'

  1. NP – (Det) (AP)Nom(PP)
  2. NP – Det Noun
  3. NP – Adj Noun
  4. NP – Pronoun
  

Question 609 :
Morphological Segmentation is ......

  1. Finding the sense of each word in the sentence
  2. Separating words into individual morphemes and identifyng the class of the morphemes
  3. An extension of propositional logic
  4. Separating words into individual tokens and counting its frequency of occurence
  

Question 610 :
Among Which Of Following Models Identify Dependency Between Each State And The Entire Input Sequences

  1. Conditional Random Fields
  2. Maximum Entropy Markov Model
  3. Naive Bayes Model
  4. Depth-First Model
  

Question 611 :
HMM model formula is combination of

  1. N gram and Naive bayes
  2. Logistic regression
  3. SVM
  4. Euclidean distance between words
  

Question 612 :
______has the same spelling and sound, but do not have related meanings

  1. Homophones
  2. Polysemy
  3. Homonymy
  4. Synonymy
  

Question 613 :
What Does The Phenomena That Operates At Discourse Level Include?

  1. Cohesion And Coherence
  2. Corrosion And Erosion
  3. Connection And Resolution
  4. Co-Ordination And Co-Operation
  

Question 614 :
Two words are there with same spelling as 'magazine'. One has meaning as something you read and another is cartridge to store bullets for a gun. However both words senses are related as to store or save somewhere. This is an example of

  1. Metonymy
  2. Hyponymy
  3. Polysemy
  4. Hyponym
  

Question 615 :
Which of the following algorithms is widely used for text classification?

  1. Decision tree
  2. Support vector machine
  3. Naive Bayes
  4. All of the mentioned
  

Question 616 :
Singular: knife, Plural : Knives Which rules are applied

  1. Morphological Rule
  2. Orthographic rule
  3. Mechanical Rule
  4. Dynamic Rule
  

Question 617 :
What Is Most Commonly Described As The Language Above The Sentence Level Or As 'Language In Use

  1. Discourse
  2. Word Level Analysis
  3. Semantic Analysis
  4. Syntax Analysis
  

Question 618 :
‘The Indian Soldiers fought like a Lion’, in order to understand the real meaning the statement has to undergo

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

Question 619 :
Which of the following techniques can be used to compute the distance between two words?

  1. Lemmatization
  2. Part of Speech Tagging
  3. Dekang Lin
  4. N-grams
  

Question 620 :
Which of the following techniques can be used to compute similarity between two sentences in NLP?

  1. Lemmatization
  2. Part of Speech Tagging
  3. Cosine Similarity
  4. N-grams
  

Question 621 :
What Is Machine Translation?

  1. Atomatic Translation Of Text From One Language To Another
  2. Manual Translation Of Text From One Language To Another
  3. Information Retrival
  4. Data Mining
  

Question 622 :
What Includes Cultural Knowledge And Interpersonal Knowledge

  1. Situational Context
  2. Background Knowledge
  3. Co-Textual Context
  4. Operational Knowledge
  

Question 623 :
Mlmenu, A Natural Language Interface For The Ti Explorer, Is Similar To:

  1. Ethernet
  2. Naturallink
  3. Prolog
  4. The Personal Consultant
  

Question 624 :
In The English Language Inflectional Morphemes Can Be Which Of Following

  1. Suffixes Only
  2. Prefix Only
  3. Prefix And Suffix
  4. Any Word
  

Question 625 :
In which of the following stages of NLP, does one draws parse tree?

  1. Morphological
  2. Syntactic
  3. Semantic
  4. Pragmatic
  

Question 626 :
Characterizing the meaning of words in terms of its relationship to other words such as synonymy, antonymy, and hyponymy is called ________________.

  1. Lexical relationship
  2. Semantic analysis
  3. Collocation
  4. Gradable antonyms
  

Question 627 :
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 628 :
I Saw Two Laser Printers In A Shop. They Were The Fastest Printers Available. In This Statement, They Is Known As Which Type Of Reference In The Discourse Context?

  1. Generic Refernce
  2. Indefinite Reference
  3. Quantifier/Ordinal Refenece
  4. Demonstrative Reference
  

Question 629 :
Polysemy Is Defined As The Coexistence Of Multiple Meanings For A Word Or Phrase In A Text Object. Which Of The Following Models Is Likely The Best Choice To Correct This Problem?

  1. Random Forest Classifier
  2. Convolutional Neural Networks
  3. Gradient Boosting
  4. Facial Recognition
  

Question 630 :
Modern Nlp Algorithms Are Based On …………………..

  1. Neural Language Processing
  2. Machine Learning
  3. Artificial Intelligence
  4. Machine Translation
  
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