NLP Natural Language Processing MCQ's




Question 421 :
What is Syntax Analysis?


  1. This only abstracts the dictionary meaning or the real meaning from the given context.
  2. This component transfers linear sequences of words into structures. It shows how the words are associated with each other.
  3. It deals with the overall communicative and social content and its effect on interpretation. It means abstracting or deriving the meaningful use of language in situations.
  4. It focuses about the proper ordering of words which can affect its meaning. This involves analysis of the words in a sentence by following the grammatical structure of the sentence. The words are transformed into the structure to show how the words are related to each other.
  

Question 422 :
The linker


  1. Is similar to interpreter
  2. Uses source code as its input
  3. I s required to create a load module
  4. None of the mentioned
  

Question 423 :
What is morpheme?


  1. Set of words with grammar.
  2. Smallest linguistic unit with grammatical function.
  3. Set of rules.
  4. Smallest sentence with syntax.
  

Question 424 :
Has the coexistence of many possible related meanings for a word or phrase


  1. Hyponymy
  2. Polysemy
  3. Clines
  4. Contranyms
  

Question 425 :
Buy books for children which type of ambiguity exists in the above sentence?


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

Question 426 :
Which is standard notation for characterizing text sequences?


  1. Regular expression
  2. Syntatic expression
  3. Semantic expression
  4. Specific expression
  

Question 427 :
Which of the following belongs to the open class group?


  1. Verb
  2. Prepositions
  3. Determinents
  4. Conjunctions
  

Question 428 :
_________Reverses the antecedent-anaphora relationship by beginning with a pronoun, then later revealing more specific information


  1. Anaphora
  2. Contextual
  3. Context
  4. Cataphora
  

Question 429 :
Lexical semantics (also known as lexicosemantics), is a subfield of _________________.


  1. Sociology
  2. linguistic semantics
  3. Philosophy
  4. Content mining
  

Question 430 :
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 431 :
I Met This Girl Earlier In A Conference. In This Statement, This Is Known As Which Type Of Reference In The Discourse Context?


  1. Definite Refernce
  2. Indefinite / Non-Anaphoric Reference
  3. Pronominal Refenece
  4. Demonstrative Reference
  

Question 432 :
He lifted the beetle with red cap. contain which type of ambiguity ?


  1. Lexical ambiguity
  2. Syntax Level ambiguity
  3. Referential ambiguity
  4. Sentiment analysis
  

Question 433 :
John has a cat and Mary has a rabbit. They play with them all the time. Identify the reference resolution problem in the above statement


  1. Generics
  2. Discontinuous sets
  3. Inferrables
  4. one anaohora
  

Question 434 :
Which of the following pair represents Antonomy lexical relation?


  1. (fat, thin)
  2. (crow,bird)
  3. (window, door)
  4. (head,nose)
  

Question 435 :
He doesn't know is an example of __________ _type of deixis


  1. Personal
  2. Time
  3. Social
  4. Space
  

Question 436 :
Maximum Entropy Model combines which features and in which model?


  1. Homogeneous features, probabilistic framework
  2. Heterogeneous features, dynamic framework
  3. Homogeneous features, randomized framework
  4. Heterogeneous features, probabilistic framework
  

Question 437 :
Following are the basic regular expression patterns, which one is incorrect pattern?


  1. Disjunction
  2. Caret
  3. Ranges
  4. Conjunction
  

Question 438 :
A list of place names, often providing millions of entries for locations with detailed geographical and political information is called as:


  1. Encyclopaedia
  2. Dictionary
  3. Corpora
  4. Gazetteer
  

Question 439 :
Choose form the following areas where NLP can be useful


  1. Automatic Question-Answering Systems
  2. Mobile Computing
  3. Frontpage Designing
  4. Web Development
  

Question 440 :
HMM is used in __________ phase of NLP.


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

Question 441 :
A Network With Named Nodes And Labeled Arcs That Can Be Used To Represent Certain Natural Language Grammars To Facilitate Parsing.


  1. Tree Network
  2. Star Network
  3. Transition Network
  4. Complete Network
  

Question 442 :
Which of the following features can be used for accuracy improvement of a classification model?


  1. Part of Speech Tag
  2. Dependency Grammar
  3. Vector Notation of sentence
  4. Part of Speech Tag - Dependency Grammar - Vector Notation of sentence
  

Question 443 :
Which Of The Below Are Nlp Use Cases?


  1. Detecting Objects From An Image
  2. Facial Recognition
  3. Speech Biometric
  4. Text Summarization
  

Question 444 :
Which Mt Systems Produce An Abstract Represenation Using Which, The Target Language Text Can Be Generated?


  1. Retrieval-Based Mt
  2. Example-Based Mt
  3. Speech-Based Mt
  4. Interlingua-Based Mt
  

Question 445 :
_________ Is the Third Stage in NLP?


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

Question 446 :
The performance of an utterance and its meaning


  1. positive face
  2. perlocutionary act
  3. locutionary act
  4. illocutionary act
  

Question 447 :
Choose areas where NLP can not be useful.


  1. Automatic Text Summarization
  2. Automatic Question-Answering Systems
  3. Information Retrieval
  4. X-Ray Analysis
  

Question 448 :
Quora is an example of which type of question answering system


  1. Close
  2. Open
  3. Sub
  4. Aspect
  

Question 449 :
A group of related documents against which information retrieval is employed is called:


  1. Corpus
  2. Text Database
  3. Index Collection
  4. Repository
  

Question 450 :
What Creates Problems In Machine Translation?


  1. Different Level Of Ambiguities
  2. Processing Power
  3. Memory
  4. Diversity
  
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