NLP Natural Language Processing MCQ's




Question 721 :
Alice was beginning to get very tired of sitting by her sister on the bank, and of having nothing to do: once or twice she had peeped into the book her sister was reading, but it had no pictures or conversations in it, `and what is the use of a book,' thought Alice `without pictures or conversation?' Which among the options is NOT a coreferrring expression?

  1. Alice, her
  2. Alice, she
  3. Book, her
  4. Book, it
  

Question 722 :
For Hate Speech Detection from facebook messages __________NLP technique can be used.

  1. Text Classification
  2. Information Retrieval
  3. Information Summairzation
  4. Information Indexing
  

Question 723 :
Many words have more than one meaning; we have to select the meaning which makes the most sense in context. This can be resolved by ____________

  1. Fuzzy Logic
  2. Word Sense Disambiguation
  3. Shallow Semantic Analysis
  4. All of the mentioned
  

Question 724 :
Which is not the component of logical expression in predicate logic

  1. Predicates
  2. Connectives
  3. Quantifiers
  4. Identifiers
  

Question 725 :
In filtration process

  1. Special characters are removed from Devanagari script
  2. Stop word are removed
  3. Stemming is performed
  4. Bottom up parser is applied
  

Question 726 :
Which of the following models can be estimated by maximum likelihood estimator?

  1. Support Vector Machines
  2. Maximum Entropy Model
  3. k Nearest Neighbor
  4. Naive Bayes.
  

Question 727 :
Words 's', 'ly', 'er', 'ed' are examples of which morpheme

  1. Prefix
  2. Bound
  3. Free
  4. Suffix(eg- clears, clearly, clearer, cleared)
  

Question 728 :
Which Technique Can Modify Root To A Word Of A Different Class

  1. Derivational Morphology
  2. Word Sense Disambiguity
  3. Entropy
  4. Semantics
  

Question 729 :
Sentiment analysis is also known as ____

  1. Opinion mining
  2. Data mining
  3. Text Analysis
  4. Automatic Summerization
  

Question 730 :
Which of the following features cannot be used for accuracy improvement of a classification model?

  1. Part of Speech Tag
  2. Dependency Grammar
  3. Vector Notation of sentence
  4. Linear regression
  

Question 731 :
In CFG,terminals mainly correspond to ...............while pre-terminals mainly correspond to ........

  1. Characters in the langauge, POS tags
  2. Words in the language, POS categories
  3. Words in the language,word relations
  4. Lexemes, POS Tags
  

Question 732 :
Sita loves her mother and Gita does too contain which type of ambiguity?

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

Question 733 :
Which phrases are examples of anaphora in the following passage?Now let us fight to fulfil that promise! Let us fight to free the world - to do away with national barriers - to do away with greed, with hate and intolerance. Let us fight for a world of reason, a world where science and progress will lead to all men’s happiness.

  1. let us fight
  2. to do away with
  3. all men’s happiness
  4. both let us fight and to do away with
  

Question 734 :
_____used to point to things (it, this, these) and people (him, them, those idiots) (__>We built __>this city on rock and roll.)

  1. Partial deixis
  2. Pragmatics
  3. Temporal deixis
  4. Personal deixis
  

Question 735 :
He finished the show very well. What is part of speech of underlined word?

  1. Noun
  2. Adjective
  3. Adverb
  4. Preposition
  

Question 736 :
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 737 :
Our interpretation of the meaning of the sign is not based solely on the ___, but on what we think the writer intended to communicate.

  1. Anaphora
  2. Words
  3. Face
  4. Context
  

Question 738 :
Focus on what the words conventionally mean, rather than on what an individual speaker might think they mean, or want them to mean, on a particular occasion; concerned with objective or general meaning and avoids trying to account for subjective or local meaning

  1. semantic features
  2. semantic analysis
  3. Semantic roles
  4. semantics
  

Question 739 :
The area of AI that investigates methods of facilitating communication between people and computers is:

  1. natural language processing
  2. symbolic processing
  3. decision support
  4. robotics
  

Question 740 :
Which approach is used for spelling error detection and correction

  1. Script Validation
  2. Tokenization
  3. N-gram
  4. Filteration
  

Question 741 :
Modern Nlp Algorithms Are Based On …………………..

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

Question 742 :
Singular: knife, Plural : Knives Which rules are applied

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

Question 743 :
_____________________ is a group of words that may behave as a single unit or phrase.

  1. Constituency
  2. Grammatical Relation
  3. Sub-categorization
  4. Dependancies
  

Question 744 :
Which of the factors affect the performance of learner system does not include?

  1. Representation scheme used
  2. Training scenario
  3. Type of feedback
  4. Good data structures
  

Question 745 :
In which of the following stages of NLP, does one draws parse tree?

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

Question 746 :
two or more words with the same form and related meanings by extension (foot of a person, of a bed, of a mountain); based on similarity

  1. Metonymy
  2. hyponymy
  3. polysemy
  4. hyponym
  

Question 747 :
To automat HR recruitment process ________type of NLP application will be suitable.

  1. Question Answering System
  2. Machine Transltion
  3. Sentiment Analysis
  4. NER
  

Question 748 :
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 749 :
Which algorithm is used for solving temporal probabilistic reasoning?

  1. Hill-climbing search
  2. Hidden markov model
  3. Depth-first search
  4. Breadth-first search
  

Question 750 :
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
  
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