Natural Language Processing (NLP) MCQ's




Question 631 :
Following property is of - .These taggers are knowledge-driven

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

Question 632 :
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 633 :
In the English language derivational morphemes can be...

  1. Prefixes ,Suffixes,Infixes
  2. Prefixes ,Suffixes
  3. Infixes only
  4. Suffixes only
  

Question 634 :
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
  4. Speech
  

Question 635 :
Which of the following dosen’t require application of natural language processing algorithm

  1. Classifing spam emails from good ones
  2. classifing image of scanned document as handwritten
  3. Automatically generating captions for images
  4. building a sentiment analyzer for tweets on twitter
  

Question 636 :
WordNet is the _______________ database

  1. Symbol
  2. Word
  3. Lexical
  4. Annotation
  

Question 637 :
In this sentence: '...no benefits justify the risk of nuclear weapons...I will explain why nuclear technology has a future on our planet despite its dangers.' Which type of lexical cohesion can you find?

  1. Hyponymy
  2. Synonymy
  3. Antonymy
  4. Hyponymy
  

Question 638 :
The Knowledge Sources Used By Which Algorithms Include Context Of Word, Sense Frequency, Selectional Preferences, Collocation And Domain?

  1. Fuzzy Logic
  2. Word Sense Disambiguation
  3. Shallow Semantic Analysis
  4. Artificial Intelligence
  

Question 639 :
Any question and answering system is classified into _________ and ___________ types

  1. Locked domain QAS, Unlocked Domain QAS
  2. Easy Domain QAS, Difficult Domain QAS
  3. Close Domain QAS , Open Domain QAS
  4. Direct Domain QAS, Indirect Domain QAS
  

Question 640 :
_____________ is as a machine that reads one string and generates another

  1. FSA
  2. FST
  3. FSM
  4. FSI
  

Question 641 :
For Rule based tagger, to design rules

  1. Language experts needed
  2. Language experts not required
  3. Good programmer is required
  4. Not language expert nor programmer
  

Question 642 :
Selecting the appropriate speech act strategies and the linguistic forms for realizing it depends on

  1. the social status and the culture of the interlocutors
  2. their age
  3. their social distance
  4. All of these
  

Question 643 :
What Is Full Form Of Nlg? M

  1. Natural Language Generation
  2. Natural Language Genes
  3. Natural Language Growth
  4. Natural Language Generator
  

Question 644 :
I want an early upgrade What is the type of word class for word want ?

  1. Verb
  2. Determinant
  3. Personal Pronoun
  4. Adjective
  

Question 645 :
It performs extensive analysis of linguistic phenomena through explicit representation of facts about language and well-understood knowledge representation schemas and associated algorithms. What is it?

  1. Convolutional Neural Networks
  2. Rule based Approach
  3. Corpus based.
  4. Hybrid
  

Question 646 :
FST is used in _____ Analysis.

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

Question 647 :
In linguistic morphology _____________ is the process for reducing inflected words to their root form.

  1. Rooting
  2. Stemming
  3. Text-Proofing
  4. Both Rooting - Stemming
  

Question 648 :
FSA define .................. while FST define .............

  1. Regular language, Regular language
  2. Regular relation, Regular language
  3. Regular language, Regular relation
  4. Regular relation, Regular relation
  

Question 649 :
In the sentence I made her duck. Here the word her is

  1. semantically ambiguous
  2. syntactically ambiguous
  3. morphologically ambiguous
  4. not ambiguous
  

Question 650 :
HMMs are 'a statistical Markov model in which the system being modeled is assumed to be a ________process with ________ states'.

  1. Convolution, completed
  2. Markov, Unobservable
  3. Analyzing, Categorized
  4. Complete, Observed
  

Question 651 :
Which of the following is correct example of stem 'replayed'?

  1. Replay
  2. Play
  3. Played
  4. Replayed
  

Question 652 :
In which type of morphology, grammatical changes like number, tense, case gender takes place. e.g. walk, walks, walked, walking

  1. Derivational
  2. Inflectional
  3. Both derivation and inflectional
  4. Semantic
  

Question 653 :
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. Both CRF and HMM are Generative model
  4. Both CRF and HMM are Discriminative model
  

Question 654 :
Both _____ and finite-state automata can be used to describe regular languages

  1. Language model
  2. Deterministic Finite Automata
  3. Regular expressions
  4. Finite State Translators (FSTs)
  

Question 655 :
In A Corpus Of N Documents, One Randomly Chosen Document Contains A Total Of T Terms And The Term 'Hello' Appears K Times. What Is The Correct Value For The Product Of Tf (Term Frequency) And Idf (Inverse-Document-Frequency), If The Term 'Hello' Appears In Approximately One-Third Of The Total Documents?

  1. Kt * Log(3)
  2. T * Log(3) / K
  3. K * Log(3) / T
  4. Log(3) / Kt
  

Question 656 :
Components of NLP?

  1. NLU,NLG
  2. NL simutator, NL analyser,NL scripting
  3. LR-Translator,LR-parser
  4. NLB-simulator, NLB-aquatiser
  

Question 657 :
This is not feature of binary machine learning classifier

  1. Length of the keyphrase
  2. Frequency of the keyphrase
  3. The most recurring word in keyphrase
  4. Stemming
  

Question 658 :
Which of the following is an advantage of normalizing a word?

  1. It guarantees word to be inconsistent
  2. It helps in reducing the randomness in the word
  3. It increases the false negatives
  4. It increases the dimensionality of the input
  

Question 659 :
The statement 'Time passes very quickly' can be represented as

  1. AdvP->(Intens) NP
  2. AdvP->(Intens) Adv
  3. N->Wh-NP VP
  4. S->Wh-NP VP
  

Question 660 :
Semantics: ___ meaning,Pragmatics: ___ meaning

  1. Presupposition
  2. Literal; unconventional
  3. Linguistic context
  4. Physical context
  
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