NLP Natural Language Processing MCQ's




Question 121 :
What is the term frequency of a term which is used a maximum number of times in that document?

  1. t4 – 2/6
  2. t1 – 2/6
  3. t3 – 3/6
  4. t6 – 2/5
  

Question 122 :
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 123 :
The statement Indirect speech acts are when there is no coincidence between the type of illocutionary act and the syntactic structure of the message, means that:

  1. The intention is not explicitly expressed in the message
  2. The intention is expressed in the message
  3. The act is expressed in intention
  4. The intention is expressed as the act.
  

Question 124 :
Mini-Corpus given, I am Sam Sam I am I do not like green eggs and ham What will be bigram probability of P(am | I)?

  1. 0.67
  2. 0.33
  3. 0.5
  4. 0.25
  

Question 125 :
It is not step of text summarization.

  1. Convert the paragraph into sentences
  2. Text processing
  3. Evaluate the weighted occurrence frequency of the words
  4. Categorization
  

Question 126 :
Parts-of-Speech tagging determines ___________

  1. part-of-speech for each symbol only generated dynamically as per meaning of the sentence
  2. part-of-speech for each word dynamically as per sentence structure
  3. all stem for a specific word given as input
  4. all lema for a specific word given as input
  

Question 127 :
Choose form the following areas where NLP can be useful.

  1. Automatic Text Summarization
  2. Automatic Question-Answering Systems
  3. Information Retrieval
  4. Automatic Text Summarization - Automatic Question-Answering Systems - Information Retrieval
  

Question 128 :
Get (to take) - get (to become), is example of ______

  1. Synonym
  2. Hyponym
  3. Homonym
  4. Polysemy
  

Question 129 :
The reference to an entity that has been previously introduced into the sentence is called as __________ .

  1. discourse
  2. anaphora
  3. co refer
  4. referent
  

Question 130 :
What is the role of NLP in recommendation engines like Collaborative Filtering?

  1. Extracting features from text
  2. Measuring semantic similarity
  3. Constructing feature vector
  4. All of the mentioned
  

Question 131 :
Which of the following entities are identified by NER?

  1. Proper Nouns
  2. Noun Phrase
  3. Verb Phrase
  4. Adverb
  

Question 132 :
What is significance of caret ^ in regular expression?

  1. If [ab ^ cd] means ' a or b ^ c and d'.
  2. If [^A-Z] means all uppercase nothing negated.
  3. If caret is first symbol after the open square brace '[' then resulting pattern is negated.
  4. If [^a-b] means all lowercase nothing negated.
  

Question 133 :
Which one of the following is type of spelling errors?

  1. Sentence errors
  2. Non-word errors
  3. Non-cognitive errors
  4. Syntax errors
  

Question 134 :
The steps of preprocessing in Natural Language Processing does not include..

  1. Stemming
  2. Tokenization
  3. Stop Word Removal
  4. Segmantation
  

Question 135 :
Cohesion Bounds Text Together. Consider The Following Piece Of Text Yesterday, My Friend Invited Me To Her House. When I Reached, My Friend Was Preparing Coffee. Her Father Was Cleaning Dishes. Her Mother Was Busy Writing A Book. Each Occurance In The Above Text Refers To Which Noun Phrase?

  1. Me
  2. Friend'S Father
  3. Friend'S Mother
  4. My Friend'S
  

Question 136 :
Which of the following grammars generates strings with any number of 1’s?

  1. S __> 1A, A __> ε
  2. S __>1S, S__> ε
  3. S __>S1, S__> ε
  4. S __>1SA, S__> ε
  

Question 137 :
In 1969 Roger schank introduced ________________ dependency theory for NL understanding

  1. Conceptual
  2. Bilateral
  3. Trilateral
  4. Textual
  

Question 138 :
The Context Of A Word Provides Useful Information About Word Sense. Which Algorithms Can Be Braodly Classified Into Knowledge-Based And Corpus-Based Approaches

  1. Context-Based Disambiguation
  2. Context-Free Grammar
  3. Regular Expressions
  4. Context-Based Ambiguation
  

Question 139 :
Spam E-mail detection is __________________

  1. Text Summarization system
  2. Text Categorization System
  3. Sentiment analysis System
  4. Machine Translation System
  

Question 140 :
Google Translate is one of the ________________ application.

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

Question 141 :
___: How we put words together,___ : word meanings, ___ : speaker meaning

  1. Syntax,semantics,pragmatics
  2. Semantics,syntax,pragmatics
  3. Semantics,syntax,pragmatics
  4. Social; academic, semantic
  

Question 142 :
The input/output of a NLP system cannot be:

  1. Sentence
  2. Speech
  3. 3D Model
  4. Document
  

Question 143 :
In English language derivational morphemes can be.

  1. Prefixes,infixes and sufixes
  2. Prefixes and sufixes
  3. Prefixes only.
  4. Sufixes only
  

Question 144 :
Following property is of - .This POS tagging is based on the probability of tag occurring

  1. Rule based Tagging
  2. Stochastic Tagging
  3. Rule based Tagging and Stochastic Tagging
  4. Neither Rule based Tagging nor Stochastic Tagging
  

Question 145 :
Humhe khaanna khaanna hai. Here the type of ambiguity is

  1. Phonetic
  2. Lexical
  3. Structural
  4. Semantic
  

Question 146 :
In text summarisation an ___________ uses different words to describe the contents of the document.

  1. Abstract
  2. Extract
  3. Information
  4. Prose
  

Question 147 :
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 148 :
The Boy Said To Girl , Call Me A Cab, Girl Said Ok You Are A Cab!,Which Type Of Ambiguity Do You Experience In Thi

  1. Syntactic Ambiguity
  2. Semantic Ambiguity
  3. Anaphoric Ambiguity
  4. Disclosure Ambiguity
  

Question 149 :
Stop words are-

  1. words that frequently found in a document
  2. long sound words
  3. words that are not important for text wrapping
  4. Creating a set repeting words
  

Question 150 :
Yesterday I went to college contains __________type of deixis.

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