NLP Natural Language Processing MCQ's




Question 151 :
Which type of semantics is concerned with how words combine to form larger meanings

  1. Compund Semantics
  2. Compositional semantics
  3. Lexical semantics
  4. Word Semantics
  

Question 152 :
Parts-of-Speech tagging Does not determine ___________

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

Question 153 :
Which of the following NLP problems can not be solved with Hidden Markov Model (HMM)?

  1. POS tagging
  2. Speech recognition
  3. Spelling correction
  4. Stemming
  

Question 154 :
The tour includes three Asian countries. Which is a noun phrase?

  1. The tour includes
  2. three Asian countries
  3. Three asian
  4. Tour includes
  

Question 155 :
Choose from the following where NLP is not being useful.

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

Question 156 :
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. Keyword Hashing
  

Question 157 :
Probabilistic context- free grammar (PCFG) is also known as the __________

  1. Stochastic context-free grammar
  2. Context sensitive context-free grammar
  3. Regular grammar
  4. Unrestricted context free grammar
  

Question 158 :
Which of the following measurements are used to evaluate the quality of entity recognition?

  1. Recision
  2. Recall
  3. Measure
  4. R-measure
  

Question 159 :
_________ Is the Second Stage in NLP?

  1. Syntactic Analysis
  2. Discourse Analysis
  3. Semantic Analysis
  4. Pragmatic Analysis
  

Question 160 :
John and Mary love their Acuras. They drive them all the time. It is example of _______

  1. Indefinte noun pharse
  2. Definte noun pharse
  3. Demostrative
  4. Discontinuous sets
  

Question 161 :
What Was First Defined For Natural Language By Chomsky (1957)

  1. Context-Free Grammar (Cfg)
  2. Finite Automata (Fa)
  3. Push Down Automata (Pda)
  4. Turing Machine
  

Question 162 :
Capability vs Capabilities is an example of ______ morphology.

  1. Inflectional
  2. Normailzation
  3. Cliticization
  4. Derivational
  

Question 163 :
The metric to measure 'the intensity of emotion provoked by the stimulus' in emotion modeling is:

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

Question 164 :
Which semantic relation exists between the wordspiece and peace?

  1. Homophony
  2. Homonymy
  3. Hypernymy
  4. Meronymy
  

Question 165 :
The main aim of Natural Language Processing is to ____________ the human language.

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

Question 166 :
Token and morpheme are always same.

  1. Yes
  2. NO
  3. Probability based
  4. Randomization based
  

Question 167 :
Which is not types of antonyms

  1. Polar antonyms
  2. Equipollent antonyms
  3. Overlapping antonyms
  4. Unipolar antonyms
  

Question 168 :
..............ambiguity refers to a situation where the context of a phrase gives it multiple interpretation

  1. Pragmatic
  2. Anaphoric
  3. Discourse
  4. Cataphoric
  

Question 169 :
Sentence Realization

  1. Syntactic Analysis
  2. Discourse Analysis
  3. Semantic Analysis
  4. Pragmatic Analysis
  

Question 170 :
Which are words that have the same form but have different, unrelated meanings

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

Question 171 :
One of the important factors for accurate machine translation is

  1. N-grams
  2. Resolving sense ambiguity
  3. Testing data
  4. Human translators
  

Question 172 :
In Reference Resolution the entity that is referred is called as _________ .

  1. corefer
  2. referent
  3. anaphora
  4. subject
  

Question 173 :
A ___________ is a word that resembles a preposition or an adverb, and that often combines with a verb to form a larger unit called a phrasal verb

  1. Preposition
  2. Determiners
  3. Particle
  4. Adjectives
  

Question 174 :
Porter Stemmer algorithm use for _______.

  1. Lemmatization
  2. Syntax Analysis
  3. Stemming
  4. Part of speech tagging
  

Question 175 :
The bigram model approximates the probability of a word given all the previous words by using:

  1. The conditional probability of all the previous words
  2. The maximum likelihood estimation of the given word
  3. Only the conditional probability of the preceding word
  4. The maximum likelihood estimation of the preceding word
  

Question 176 :
In NLP, The algorithm decreases the weight for commonly used words and increases the weight for words that are not used very much in a collection of documents

  1. Term Frequency (TF)
  2. Inverse Document Frequency (IDF)
  3. Word2Vec
  4. Latent Dirichlet Allocation (LDA)
  

Question 177 :
Which of the following is a example of irregular noun form?

  1. Fox
  2. Dog
  3. Mouse
  4. Cat
  

Question 178 :
Which Of The Following Architecture Can Be Trained Faster And Needs Less Amount Of Training Data

  1. Lstm Based Language Modelling
  2. Transformer Architecture
  3. Word Sense Disambiguation
  4. N-Grams
  

Question 179 :
_________________is mapping sentence plan into sentence structure.

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

Question 180 :
_______ Is used to decode the optimal tag sequence

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