NLP Natural Language Processing MCQ's




Question 661 :
It performs extensive analysis of linguistic phenomena through explicit representation of facts about language and well-understood knowledge representation schemas and associated algorithms. What is it?

  1. Convolutional Neural Networks
  2. Rule based Approach
  3. Corpus based.
  4. Hybrid
  

Question 662 :
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 663 :
Is Inflectional morphology performed in google translation?

  1. Performed
  2. Not performed
  3. Partly performed
  4. Depends on situation
  

Question 664 :
How is the word change stemmed using Porter Stemmer?

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

Question 665 :
FST is used in _____ Analysis.

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

Question 666 :
Format of words is given in options, select incorrect option.

  1. Books ® Book + Noun + Plural
  2. 0
  3. Cats ® Cat + Verb
  4. Went®go + Verb + Past
  

Question 667 :
FSA define .................. while FST define .............

  1. Regular language, Regular language
  2. Regular relation, Regular language
  3. Regular language, Regular relation
  4. Regular relation, Regular relation
  

Question 668 :
In POS, using generative approach, direction of flow is from class to words

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

Question 669 :
Both _____ and finite-state automata can be used to describe regular languages

  1. Language model
  2. Deterministic Finite Automata
  3. Regular expressions
  4. Finite State Translators (FSTs)
  

Question 670 :
Idea behind maximum entropy is

  1. To build a distribution by continuously separating features.
  2. To build a distribution by continuously adding features.
  3. Ignore words feature and build a model
  4. Build a model from class to word.
  

Question 671 :
I want an early upgrade What is the type of word class for word want ?

  1. Verb
  2. Determinant
  3. Personal Pronoun
  4. Adjective
  

Question 672 :
Which of the following is/are the input(s) to k-means algorithm?

  1. Number of clusters
  2. Class labels
  3. Distance metric
  4. Number of centroids
  

Question 673 :
In the sentence, 'They bought a blue house', the underlined part is an example of _____.

  1. Noun phrase
  2. Verb phrase
  3. Prepositional phrase
  4. Adverbial phrase
  

Question 674 :
Which is NOT a conjunction?

  1. But
  2. and
  3. or
  4. that
  

Question 675 :
I went to the school, and they told me come on next day'. What type of ambiguity present in the given sentence?

  1. Syntactic ambiguity
  2. Anaphoric ambiguity
  3. Semantic ambiguity
  4. Lexical ambiguity
  

Question 676 :
Which Application Of Nlp Deals With Creation Of Summaries Of Documents

  1. Text Summarization
  2. Question Answering
  3. Information Extraction
  4. Information Retrieval
  

Question 677 :
Google News Aggregator is example of ______________.

  1. Machine Translation Application
  2. Text Summarization Application
  3. NER Application
  4. Information Retrival Application
  

Question 678 :
To whether duck is a verb or a noun can be solved by ______

  1. Part-of-speech tagging.
  2. Lexical analysis
  3. Semantic analysis
  4. Pragmatic analysis
  

Question 679 :
Pragmatics cannot be defined as

  1. It is the study of speaker meaning
  2. It is the study of contextual meaning
  3. It is the study of how more gets communicated than is said
  4. It is the study of sound
  

Question 680 :
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 681 :
A bottom up parser generates

  1. Right most derivation
  2. Rightmost derivation in reverse
  3. Leftmost derivation
  4. Leftmost derivation in reverse
  

Question 682 :
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 683 :
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 684 :
Google Translate is one of the ________________ application.

  1. Machine translation
  2. Information Retrieval
  3. Information Extraction
  4. Summarisation
  

Question 685 :
______-is the study of internal structure of word.

  1. Morphological Processing
  2. Syntax Processing
  3. Parser
  4. Semantic Processing
  

Question 686 :
How many bi-grams can be generated from given sentence:'Analytics Vidhya is a great source to learn data science'

  1. 7
  2. 8
  3. 9
  4. 10
  

Question 687 :
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 688 :
Knowledge of the relationship of meaning to the goals and intentions of the speaker is ________

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

Question 689 :
Tubers is a hyponym of ____

  1. Potatoes
  2. Carrots
  3. Roots
  4. Vegetables
  

Question 690 :
I saw bats contains which type of ambiguity?

  1. Syntactic
  2. Semantic
  3. Lexical
  4. Anaphoric
  
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