NLP Natural Language Processing MCQ's




Question 691 :
What is function of Sequence classfier(HMM)?

  1. Assign some label or class to each unit in a sequence.
  2. Aassign part of speech to sequence.
  3. Find probability
  4. Calculate likelihood.
  

Question 692 :
What Is The Knowledge About Physical Situations Existing In The Surroundings At The Time Of Utterance?

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

Question 693 :
Under-stemming can be interpreted as __________.

  1. False-Positives
  2. False-Negative
  3. True-Positive
  4. True-Negative
  

Question 694 :
How many types of Deixis eixsts?

  1. 3
  2. 5
  3. 4
  4. 2
  

Question 695 :
Which data is used to use supervised approach for Machine translation

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

Question 696 :
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 697 :
Which of the following is a single valued attribute

  1. Register_number
  2. Address
  3. SUBJECT_TAKEN
  4. Reference
  

Question 698 :
What Is The Major Difference Between Crf (Conditional Random Field) And Hmm (Hidden Markov Model)?

  1. Crf Is Generative Whereas Hmm Is Discriminative Model
  2. Crf Is Discriminative Whereas Hmm Is Generative Model
  3. Crf And Hmm Are Generative Model
  4. Crf And Hmm Are Discriminative Model
  

Question 699 :
How is the term prototype used in semantics?

  1. The prototype is the characteristic instance of a category, as in the case of robin being the clearest example, or prototype, of the category bird for many American English speakers.
  2. syntax; semantics; pragmatics
  3. antonyms; gradable and non-gradable
  4. a) The verb drink requires a subject with the feature [+animate] and the noun television has the feature [-animate]. b) The verb write requires a subject with the feature [+human] and the noun dog has the feature [-human].
  

Question 700 :
Which Of The Following Best Describes Grammar Induction?

  1. Supervised Learning Problem
  2. Conditional Random Field Problem
  3. Maximum-A-Posteriori (Map) Estimation Problem
  4. Unsupervised Learning Problem
  

Question 701 :
Using pronouns to refer back entities already introduced in the text is called as ________problem .

  1. Anaphora
  2. Misspellings
  3. Multiple Meaning
  4. Lexical problem
  

Question 702 :
Function morphemes are also called ______

  1. open-class morphemes
  2. sub-class morphemes
  3. super-class morphemes
  4. closed-class morphemes
  

Question 703 :
Car is hyponym of

  1. Scooter
  2. Cycle
  3. Rickshaw
  4. Automobile
  

Question 704 :
Which of the following will be POS Tagger output when the input sentence is They refuse to permit

  1. [('They', 'PRP'), ('refuse', 'VBP'), ('to', 'TO'), ('permit', 'VB')]
  2. [('They', 'NN'), ('refuse', 'VBP'), ('to', 'TO'), ('permit', 'VB')]
  3. [('They', 'PRP'), ('refuse', 'NN'), ('to', 'TO'), ('permit', 'VB')]
  4. [('They', 'PRP'), ('refuse', 'VBP'), ('to', 'PRP'), ('permit', 'VB')]
  

Question 705 :
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. Classification
  

Question 706 :
What does 'discourse' refer to in the study of language?

  1. the vocabulary of a text
  2. the structure, organisation and layout of a text
  3. the meaning behind the vocabulary of a text
  4. the mode of a text
  

Question 707 :
HMMs are limited to only ________ states and only take into account the last known _____.

  1. Complete, Value
  2. Unobserved, Variable
  3. Hidden, Attribute
  4. Discrete, State
  

Question 708 :
Which of the following is not true input for the NLP?

  1. Image
  2. Text
  3. Types input
  4. Speech
  

Question 709 :
When Spelling Changes Upon Combination Of Words Added, Belong To Which Type Of Rule?

  1. Orthographic Rules
  2. Grammer Rules
  3. Bound Morpheme
  4. Free Morpheme
  

Question 710 :
PROLOG, LISP, NLP are the language of

  1. Artificial Intelligence
  2. Machine Learning
  3. Internet of Things
  4. Deep Learning
  

Question 711 :
One of the main challenges of NLP Is _____________.

  1. Handling Ambiguity of Sentences
  2. Handling Tokenization
  3. Handling POS-Tagging
  4. All of the mentioned
  

Question 712 :
What does Fr[ea]nc[eh]$ does not match?

  1. France
  2. Sino-French
  3. Frence
  4. Franc
  

Question 713 :
You better go to the clinic, is which type of speech act?

  1. Commissives
  2. Directives
  3. Declarations
  4. Representatives
  

Question 714 :
Which of the following is the fastest logic ?

  1. TTL
  2. ECL
  3. CMOS
  4. LSI
  

Question 715 :
For understanding semantic relation between terms which type of technique used?

  1. Supervised learning
  2. Clustering technique
  3. Ontology based classification
  4. Unsupervised learning
  

Question 716 :
Following property is of -____________These taggers are knowledge-driven taggers

  1. Rule Based Tagging
  2. Stochastic tagging
  3. HMM POS Tagging
  4. Transformation-based Tagging
  

Question 717 :
What type of relation exist between the words meet and meat?

  1. Homophones
  2. Hyponym
  3. Co-hyponyms
  4. Homonyms
  

Question 718 :
For e.g. Before she purchased it, Mary checked warranty card of the product. In the context of pronoun, this is the example of

  1. Cataphora
  2. Bound
  3. Free
  4. Random
  

Question 719 :
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 720 :
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
  
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