Natural Language Processing (NLP) MCQ's




Question 211 :
Assume That There Are0000 Documents In A Collection. Out Of These, 50 Documents Contain The Terms 'Difficult Task'. If 'Difficult Task' Appears Times In A Particular Document, What Is The Tfidf Value Of The Terms For That Document?

  1. 8.11
  2. 15.87
  3. Zero
  4. 81.1
  

Question 212 :
How many noun phrases are there in the following sentence , The thief robbed the apartment?

  1. 1
  2. 2
  3. 3
  4. 4
  

Question 213 :
Correct rule to write noun phrase for the sentence 'The boy gave the girl a book'

  1. VP – Verb NP
  2. VP – Verb PP
  3. VP – NP PP
  4. VP – Verb NP NP
  

Question 214 :
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. Is an extension of propositional limit
  

Question 215 :
Given a sound clip of a person or people speaking, determine the textual representation of the speech.

  1. Text-to-speech
  2. Speech-to-text
  3. Text Summarization
  4. Text Classification
  

Question 216 :
Which one of the following is TRUE about CRF (Conditional Random Field) and HMM (Hidden Markov Model)?

  1. CRF is generative model and HMM is discriminative model
  2. Both CRF and HMM are generative model
  3. CRF is discriminative model and HMM is generative model
  4. Both CRF and HMM are discriminative model
  

Question 217 :
The words bank/data bank/blood bank is an example of ________

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

Question 218 :
_________________is mapping sentence plan into sentence structure.

  1. Text planning
  2. Sentence Planning
  3. Text Realisation
  4. Text Mapping
  

Question 219 :
What Can Be Called As The Knowledge Of What Has Been Said Earlier

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

Question 220 :
Polysemy is a Greek word, which means

  1. Many names
  2. Many signs
  3. Many meanings
  4. Many verbs
  

Question 221 :
The choice between two ______________ is generally associated with some notion of spatial proximity.

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

Question 222 :
How many trigrams phrases can be generated from the following sentence, after performing following text cleaning steps: Stopword Removal, Replacing punctuations by a single space? '#Coursera is a great platform to learn @Machine Learning.'?

  1. 3
  2. 4
  3. 5
  4. 6
  

Question 223 :
_______ Is used to decode the optimal tag sequence

  1. Early algorithm
  2. Viterbi algorithm
  3. Lexk algorithm
  4. A centering algorithm
  

Question 224 :
Famous PYTHON NLP Toolkit is

  1. NLTK
  2. Panda
  3. Stanford Core NLP
  4. spacy
  

Question 225 :
Maximum Entropy Markov Model (MEMM) used to handle______

  1. Unkonwn word
  2. Known word
  3. Multpile tag
  4. Single tag word
  

Question 226 :
__ involves resolving words to their dictionary form

  1. Overstemming
  2. Understemming
  3. Lemmatization
  4. NER
  

Question 227 :
The main aim of Natural Language Processing is to ____________ the human language.

  1. Cipher
  2. Index
  3. Understand
  4. Complicate
  

Question 228 :
_____ is a process of assigning corresponding part of speech like noun, verb, adverb, adjective, verb to each word in a sentence.

  1. Part of speech tagging
  2. Name entity tagging
  3. Parsing
  4. Disambiguation
  

Question 229 :
Parrot ate the guava as it was ripe Identify the ambiguity

  1. Noun resolutionx
  2. Adjective resolution
  3. Verb resolution
  4. Pronoun resolution
  

Question 230 :
Which are words that have the same form but have different, unrelated meanings

  1. Polysemy
  2. Homonyms
  3. Synonymy
  4. Antonymy
  

Question 231 :
Syntactical analysis is done at ______________ level

  1. Sentence
  2. Word
  3. Lexicon
  4. Symbol
  

Question 232 :
Sagar loved watching movies. He likes comedy movies. Given sentence does not hold ______type of ambiguity

  1. Syntax Level ambiguity
  2. Referential ambiguity
  3. Lexical Ambiguity
  4. Syntax Level - Referential ambiguity
  

Question 233 :
Mentions are span of text referring to some entity. Which is not a mention here?

  1. Named entities
  2. Pronouns
  3. Noun phrases
  4. Adverb phrases
  

Question 234 :
What is irony

  1. Using language to signal attitude other than what has been literally said.
  2. Using words that are context bound
  3. A mixture of vague language and humour
  4. The process of deriving implied meanings.
  

Question 235 :
_________are based on the analysis of large volumes of bilingual text

  1. Rules Based Machine Translation
  2. Statistical MachineTransaltion
  3. Hybrid Machine Translation
  4. Neural Machine Translation.
  

Question 236 :
Which is correct option

  1. Pragmatics is one of the approach of discourse analysis
  2. Discourse Analysis is Study of utterance meaning
  3. A and B Both
  4. None of them
  

Question 237 :
What are the most common and the rarest term of the corpus?

  1. t5, t1
  2. t5, t6
  3. t4, t6
  4. t3, t5
  

Question 238 :
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 239 :
Word- Bass - as pitch Word- Bass as fish are

  1. Homophones
  2. Homograph
  3. Synonyms
  4. Antonyms
  

Question 240 :
For Research Article recommendation system ___________ NLP application can be used.

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