NLP Natural Language Processing MCQ's




Question 31 :
Which of the following component of NLP?

  1. Pragmatic analysis
  2. Entity extraction
  3. Syntactic analysis
  4. Pragmatic analysis - Entity extraction - Syntactic analysis
  

Question 32 :
Which of the following instances the regular expression b(one|two|three)b' can recognize?

  1. one'
  2. onetwo'
  3. TWO'
  4. THREE'
  

Question 33 :
Which will be suitable NLP method For COVID 19 News Analysis from the online newspaers ?

  1. NER
  2. Machine Transltion
  3. Sentiment Analysis
  4. Text Summarization
  

Question 34 :
She eats fish with the fork. Identify ambiguity in the given sentence

  1. Anaphoric Ambiguity
  2. Lexical Ambiguity
  3. Syntax Ambiguity
  4. Semantic Ambiguity
  

Question 35 :
Consider the following corpus of 3 sentences. 1) I am here 2) who am I. 3) I would like to go. Calculate​ P(here|am) ​assuming a bi-gram language model.

  1. 43864
  2. 1
  3. 43832
  4. 43833
  

Question 36 :
_______ of a transducer is useful because it makes it easy to convert a FST-as-parser into an FST-as-generator.

  1. parser
  2. inversion
  3. composition
  4. generation
  

Question 37 :
Which method of sentiment analysis uses a variety of words annotated by polarity score, to decide the general assessment score of a given content.

  1. Word-Based
  2. Lexicon-Based
  3. Hybrid
  4. Opinion-Based
  

Question 38 :
S → NP VP {DCL(NP.sem(VP.sem))}

  1. Imperative statement
  2. Declarative statement
  3. Yes or No Question
  4. Wh questions like who which etc
  

Question 39 :
A verb phrase cannot have a

  1. a verb followed by an NP {VP → Verb NP}
  2. a verb followed by a PP {VP → Verb PP}
  3. a verb followed by two NPs {VP → Verb NP NP}
  4. a verb followed by two APs {VP → Verb AP AP}
  

Question 40 :
Which of the following computer language is used for artificial intelligence?

  1. FORTRAN
  2. PROLOG
  3. C
  4. COBOL
  

Question 41 :
What Can Be Used To Disambiguate Word Senses

  1. Selectional Restrictions
  2. Independent Restrictions
  3. No Restrictions
  4. All Restrictions
  

Question 42 :
Identifying intentions in dialogue is ________

  1. Morphology
  2. Semantics
  3. Pragmatics
  4. Discourse
  

Question 43 :
Computer Vs Computational Is An Example Of ______ Morphology.

  1. Inflectional
  2. Derivational
  3. Cliticization
  4. Information Retrieval
  

Question 44 :
I almost bought an Acura Integra today, but a door had a dent and the engine seems noisy.' This is an example of which type of referring expression

  1. Reflexive
  2. Gender Agreement
  3. Inferrable
  4. Selectional Restriction
  

Question 45 :
A model of information retrieval in which we can pose any query in which search terms are combined with the operators AND, OR, and NOT:

  1. Ad Hoc Retrieval
  2. Ranked Retrieval Model
  3. Boolean Information Model
  4. Proximity Query Model
  

Question 46 :
In maximum entropy model, generally features are ______ in nature.

  1. Binary
  2. Unary
  3. Ternary
  4. Random
  

Question 47 :
e.g. Original statement in speech is 'I saw a van' During speech to text conversion statement becomes eye awe of an Such type of error can be removed by

  1. Parser
  2. Tagger
  3. N-gram
  4. FST
  

Question 48 :
Which of the following is the example of understemming?

  1. Data
  2. Date
  3. Datum
  4. Dat, Datu
  

Question 49 :
Which Application Of Nlp Captures And Outputs Factual Information Contained Within A Document?

  1. Speech Recognition
  2. Natural Language Interfaces To Db
  3. Information Extraction
  4. Information Retrieval
  

Question 50 :
Which of the following is not true input for the NLP?

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

Question 51 :
Nlp Is Concerned With The Interactions Between

  1. Computers And Human (Natural) Languages.
  2. Machine And Machine
  3. Human And Machine
  4. Both A) And B)
  

Question 52 :
Subsequent reference to an already introduced entity; referring back (__>Paul's on the phone. I don't wanna talk to __>him.)

  1. Face
  2. Words
  3. Anaphora
  4. Cataphora
  

Question 53 :
In HMMs, spaces are connected via ______ matrices {T,A} to represent the probability of ________ from one state to another following their _____

  1. Transitions, Transitioning, Connections
  2. Attribute, Changing, groups
  3. Label, moving, sets
  4. Attribute, moving, sets
  

Question 54 :
______ morphology is a type of word formation that creates new lexemes

  1. Derivational morphology
  2. Compound morphology
  3. Inflectional morphology
  4. Complex morphology
  

Question 55 :
Sentiment analysis is the interpretation and classification of ______ emotions within text data using text analysis techniques

  1. positive
  2. negative
  3. neutral
  4. All positive,negative and neutral
  

Question 56 :
In The English Language Derivational Morphemes Can Be.

  1. Prefixes And Suffixes
  2. Suffix Only
  3. Prefix Only
  4. Any Word
  

Question 57 :
When gmail extracts only the data from the email recived for you to add in your Google Calendar. This example denotes

  1. Information extraction
  2. Information retrieval
  3. Information Handling
  4. Information Transformation
  

Question 58 :
CFG captures ____________________.

  1. Constituency and ordering
  2. word meaning
  3. relation between words
  4. sentence meaning
  

Question 59 :
Dictionary-based sentiment analysis is a computational approach relies on a pre-defined list (or dictionary) of sentiment-laden words.

  1. probability model.
  2. a pre-defined list of sentiment-laden words.
  3. CRF
  4. HMM
  

Question 60 :
It is not word embedding library

  1. Word2vec
  2. Glove
  3. Fasttext
  4. TextBlog
  
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