Natural Language Processing MCQ

home MCQ Questions & Answer


Question 100 : the entity that performs the action; can be human or non-human (-->The boy kicked the ball.)

  1. agent
  2. source
  3. instrument
  4. hyponym
  

Question 101 : How is the word "change" stemmed using Porter Stemmer?

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

Question 102 : The words "bank/data bank/blood bank" is an example of -----------

  1. Homophony
  2. Synonymy
  3. Polysemy
  4. Hyponymy
  

Question 103 : "He lifted the beetle with red cap." contain which type of ambiguity ?

  1. Lexical ambiguity
  2. Syntax Level ambiguity
  3. Referential ambiguity
  4. Sentiment analysis
  

Question 104 : Generating natural, conversational language that explains complex concepts in a way that is easy to consume.

  1. Intuitive
  2. Relevant
  3. Timely
  4. Space
  

Question 105 : The metric to measure “the degree of control exerted by the stimulus” in emotion modeling is:

  1. Controllability
  2. Valence
  3. Arousal
  4. Dominance
  

Question 106 : In a relation between the entities the type and condition of the relation should be specified. That is called as______attribute.

  1. Desciptive
  2. Derived
  3. Recursive
  4. Relative
  

Question 107 : Following are the basic regular expression patterns, which one is incorrect pattern?

  1. Disjunction
  2. Caret
  3. Ranges
  4. Conjunction
  

Question 108 : Choose from the following areas where NLP can be useful.

  1. Automatic Text Summarization
  2. Automatic Question-Answering Systems
  3. Information Retrieval
  4. All of the above
  

Question 109 : Which is not type of Sentiment Analysis?

  1. Emotion Detection
  2. Aspect based
  3. Word based
  4. Bilingual
  

Question 110 : 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 111 : Paraphrase detection does not much contributes to which NLP task

  1. Text summarization
  2. Document Clustering
  3. Spech Recognition
  4. Question Answering
  

Question 112 : For machine learning based tagger, which is required

  1. Knowledge database of rules required
  2. Knowledge database of rules not required
  3. Learns automatically all rules
  4. Knowledge database of rule, learning from database
  

Question 113 : 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 114 : The choice between two ______________ is generally associated with some notion of spatial proximity.

  1. inferrables
  2. demonstratives
  3. generics
  4. noun phrase
  

Question 115 : 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 116 : "I Bought A Printer Today. The Printer Didn'T Work Properly." What Type Of Reference In The Discourse Context Is Done In This Statement?

  1. Definite Refernce
  2. Indefinite Reference
  3. Pronominal Refenece
  4. Demonstrative Reference
  

Question 117 : Which of the following dosen’t require application of natural language processing algorithm

  1. Classifing spam emails from good ones
  2. classifing image of scanned document as handwritten
  3. Automatically generating captions for images
  4. building a sentiment analyzer for tweets on twitter
  

Question 118 : 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. Analysis
  

Question 119 : Cohesion : Textual Phenomenon : : Coherence : ?

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

Question 120 : When we encounter two or more words with the same form and related meanings, we have what is known as ______

  1. Hyponymy
  2. Polysemy
  3. Homonyms
  4. Source
  

Question 121 : 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
  

Question 122 : Beverage = coffee - tea - shake, is example of ______

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

Question 123 : The Words “Window” And “Room” Are In A Lexical Semantic Relation

  1. Hypernym – Hyponym
  2. Hypernym – Meronym
  3. Holonym – Hyponym
  4. Meronym – Holonym
  

Question 124 : History of Natural Language Processing does not include

  1. Automata Theory
  2. Compression Algorithms
  3. CFG by Chomsky
  4. Predicate and First Order Logic
  

Question 125 : "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 126 : "He doesn't know" is an example of __________ _type of deixis

  1. Personal
  2. Time
  3. Social
  4. Space
  

Question 127 : Singular: Fish, Plural : Fish. Singular: Goose, Plural : Geese. Which rules are applied

  1. Orthographic rule
  2. NLP rules
  3. Semantic rules
  4. Morphological rule
  

Question 128 : Typing buckled when you meant bucked is a type of which Spelling error

  1. Non-word Errors
  2. Real Word Errors
  3. Cognitive Errors
  4. Short forms/Slang/Lingo
  

Question 129 : 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 130 : Conditional random fields (CRFs) are a class of statistical modeling method often applied in

  1. Morphology
  2. Syntactic Analysis
  3. Pattern recognition and machine learning
  4. Discourse –reference resolution
  

Question 131 : 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 132 : 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 133 : Different learning methods does not include?

  1. Memorization
  2. Analogy
  3. Deduction
  4. Introduction
  

Question 134 : A bottom up parser generates

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

Question 135 : The stem is not necessarily the linguistic root of the word.

  1. True
  2. False
  3. Can't say
  4. Random and unpredictable
  

Question 136 : 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 137 : How Many Different Lexemes Are There In The Following List?Man, Men, Girls , Girl , Mouse

  1. 2
  2. 3
  3. 1
  4. 4
  

Question 138 : Which data is used to use supervised approach for Machine translation

  1. Plain text
  2. Labelled text
  3. Dictionary
  4. Vectors
  

Question 139 : How many uni-grams phrases can be generated from the following sentence, after performing following text cleaning steps: Stop word Removal and Replacing punctuations by a single space i. “Delhi is the capital of but Mumbai is the financial capital of India.”

  1. 8
  2. 7
  3. 6
  4. 5
  

Question 140 : What are the input and output of an NLP system?

  1. Speech and noise
  2. Speech and Written Text
  3. Noise and Written Text
  4. Noise and value
  

Question 141 : 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 142 : Which of these techniques is used for normalization in text mining?

  1. Rooting
  2. Stop words removal
  3. Removing stopwords
  4. Text wrapping
  

Question 143 : "Tubers" is a hyponym of ____

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

Question 144 : Which is NOT a conjunction?

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

Question 145 : What Will Be The Perplexity Value If You Calculate The Perplexity Of An Unsmoothed Language Model On A Test Corpus With Unseen Words?

  1. Zero
  2. Infinity
  3. Any Non-Zero Value
  4. Inefficient
  

Question 146 : Which of the following is the smallest unit within a language system?

  1. Phoneme
  2. Syntax
  3. Morpheme
  4. Sentence
  

Question 147 : 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 148 : What is the right order for a text classification model components 1. Text cleaning 2. Text annotation 3. Gradient descent 4. Model tuning 5. Text to predictors

  1. 12345
  2. 13425
  3. 12534
  4. 13452
  

Question 149 : _______ of a transducer is useful because it makes it easy to convert a FST-as-parser into an FST-as-generator.

  1. parser
  2. inversion
  3. composition
  4. generation
  

Question 150 : Which of the following includes major tasks of NLP?

  1. Automatic Summarization
  2. Discourse Analysis
  3. Machine Translation
  4. Automatic Summarization & Discourse Analysis & Machine Translation