Natural Language Processing (NLP) MCQ's




Question 31 :
Knowledge of the relationship of meaning to the goals and intentions of the speaker is ________

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

Question 32 :
Define pragmatics

  1. A subfield of linguistics and semiotics that studies the ways in which context contributes to meaning.
  2. Features that appear when we put sounds together in connected speech.
  3. Some definitions limit this to verbal communication that is not words.
  4. The process of syntax checking
  

Question 33 :
The __________________ summarization technique involves pulling keyphrases from the source document.

  1. Extractive
  2. Abstractive
  3. Regular
  4. Automatic
  

Question 34 :
Which Application Of Nlp Allows Querying A Structured Database Using Natural Language Sentences?

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

Question 35 :
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 36 :
What Is Full Form Of Nlp?

  1. Natural Language Processing
  2. Nature Language Processing
  3. Natural Language Process
  4. Natural Language Pages The Stage Of Nlp Were Processing Of Sequence Of Sentences Is Done Is Called As M
  

Question 37 :
A web server communicates with a client (browser) using which protocol:

  1. HTML
  2. HTTP
  3. FTP
  4. Telnet
  

Question 38 :
When a referent is first mentioned in a discourse, we say that a representation for it is __________ into the model.

  1. created
  2. evoked
  3. accessed
  4. initiated
  

Question 39 :
Which of the following is the smallest unit within a language system?

  1. Phoneme
  2. Syntax
  3. Morpheme
  4. Sentence
  

Question 40 :
In maximum entropy model, generally features are ______ in nature.

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

Question 41 :
Conditional random fields (CRFs) are a class of statistical modeling method often applied in

  1. Morphology
  2. Syntactic Analysis
  3. Pattern recognition and machine learning
  4. Discourse –reference resolution
  

Question 42 :
FST cannot work as _____________

  1. recognizer
  2. generator
  3. translator
  4. lexicon
  

Question 43 :
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 44 :
Which of the following is not true input for the NLP?

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

Question 45 :
In The English Language Derivational Morphemes Can Be.

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

Question 46 :
What are the input and output of an NLP system?

  1. Speech and noise
  2. Speech and Written Text
  3. Noise and Written Text
  4. Noise and value
  

Question 47 :
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 48 :
The Cat flys after applying which ngram gives the output as The Cat,Cat flys

  1. Unigram
  2. Bigram
  3. Trigram
  4. Quadrigrams
  

Question 49 :
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 50 :
The statement ' eat a pizza' can be represented as

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

Question 51 :
A program that captures and indexes content from web pages is known as what insect:

  1. Fly
  2. Centipede
  3. Mosquito
  4. Spider
  

Question 52 :
Most tagging algorithms fall into one of two classes _________ - __________

  1. Rule based tagger, Stochastic tagger
  2. Graph based tagger, Stochastic tagger
  3. Rule based tagger, semantic tagger
  4. Pragmatic tagger, Stochastic tagger
  

Question 53 :
______ morphology is a type of word formation that creates new lexemes

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

Question 54 :
In text summarisation an ___________ uses different words to describe the contents of the document.

  1. Abstract
  2. Extract
  3. Information
  4. Prose
  

Question 55 :
RSG stands for

  1. Rich Sentence Graph
  2. Real Summary Graph
  3. Rich Syntactic Graph
  4. Rich Semantic Graph
  

Question 56 :
How does the state of the process is described in HMM?

  1. Literal
  2. Single random variable
  3. Single discrete random variable
  4. Literal and Single random variable
  

Question 57 :
Push down automata accepts which language?

  1. Context sensitive language
  2. Context free language
  3. Recursive language
  4. Context Recursive language
  

Question 58 :
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 59 :
It is a process of generating a concise and meaningful summary of text from multiple text resources such as books, news articles,blog posts, research papers, emails, and tweets.

  1. Automatic Summerization
  2. Insertion
  3. Updation
  4. Extraction
  

Question 60 :
________is the problem of selecting a sense for a word from a set of predefined possibilities.

  1. Shallow Semantic Analysis
  2. Discourse
  3. Word Sense Disambiguation
  4. Pragmatic
  
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