NLP Natural Language Processing MCQ's




Question 601 :
Parts-of-Speech tagging determines ___________ . 1) part-of-speech for each word dynamically as per meaning of the sentence 2) part-of-speech for each word dynamically as per sentence structure 3) all part-of-speech for a specific word given as input

  1. Only 1 is correct
  2. 1 and 2 are correct
  3. 1 and 3 are correct
  4. All (1,2 and 3) are correct.
  

Question 602 :
In NLP, word natural indicates

  1. To distinguish human languages from computer languages
  2. It is subfield of AI
  3. It is more close to English language
  4. It is closed to all languages except English language
  

Question 603 :
Monkey ate the banana as it was ripe' Identify the dependency checking to resolve the ambiguity of ‘it’

  1. Monkey, banana
  2. Banana, ripe
  3. Monkey, ripe
  4. Ate, banana
  

Question 604 :
Corpus-Based Approaches Use Either Supervised Or Unsupervised Learning. Supervised Methods Require ___________ Whereas Unsupervised Methods Eliminate The Need Of Tagged Data But Usually Perform Only _________________.

  1. Tagged Data, Word Sense Discrimination
  2. Untagged Data, Word Sense Discrimination
  3. Untagged Data, Word Commonsense Discrimination
  4. Untagged Data, Word Sense Indiscrimination
  

Question 605 :
In NLG ______includes retrieving the relevant content from knowledge base.

  1. Text planning
  2. Sentence planning
  3. Text Realization
  4. Text Mapping
  

Question 606 :
HMM graphs consist of a Hidden Space and Observed Space, where the hidden space consists of the _______ and the observed space is the ______

  1. Input, Categories
  2. Values, Variables
  3. Labels, Input
  4. Variables, Values
  

Question 607 :
Components of NLP?

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

Question 608 :
What changes the letters from one alphabet or language into the corresponding, similar-sounding characters of another alphabet

  1. Summarization
  2. Translation
  3. Transliteration
  4. Transformation
  

Question 609 :
How Many Components Of Nlp Are There?

  1. Two
  2. Three
  3. Four
  4. Five
  

Question 610 :
Innocent peacefully children sleep little' vs 'Innocent little children sleep peacefully'. Which stage of NLP helps to find proper ordering of sentences

  1. Morphology Analysis
  2. Phonology Analysis
  3. Semantics Analysis
  4. Syntax Analysis
  

Question 611 :
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 612 :
Assume that there are 10000 documents in a collection. Out of these, 50 documents contain the terms 'difficult task'. If 'difficult task' appears 3 times in a particular document, what is the TFIDF value of the terms for that document?

  1. 8.11
  2. 15.87
  3. 0
  4. 81.1
  

Question 613 :
Which of the following is an example of free morphene?

  1. un
  2. ful
  3. ly
  4. town
  

Question 614 :
Given a sentence or larger chunk of text, determine which words ('mentions') refer to the same objects ('entities')

  1. Anaphora Resolution
  2. Coreference Resolution
  3. Noun Resolution
  4. Pronoun Resolution
  

Question 615 :
In the English language derivational morphemes can be...

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

Question 616 :
Which of the following is used to mapping sentence plan into sentence structure?

  1. Text planning
  2. Sentence planning
  3. Text Realization
  4. Text Summarization
  

Question 617 :
Named entities can be recognized and classified by:

  1. Viterbi Algorithm
  2. Featured-based or neural sequence labelling techniques.
  3. Hidden Markov Model
  4. Maximum Likelihood Estimation
  

Question 618 :
Which One Of The Following Is Not A Pre-Processing Technique In Nlp

  1. Converting To Lowercase
  2. Removing Punctuations
  3. Removal Of Stop Words
  4. Sentiment Analysis
  

Question 619 :
Which is not type of Sentiment Analysis?

  1. Emotion Detection
  2. Aspect based
  3. Word based
  4. Bilingual
  

Question 620 :
The Words 'Window' And 'Room' Are In A Lexical Semantic Relation

  1. Hypernym – Hyponym
  2. Hypernym – Meronym
  3. Holonym – Hyponym
  4. Meronym – Holonym
  

Question 621 :
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 622 :
Which of the following is correct example of stem 'replayed'?

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

Question 623 :
What is the name for information sent from robot sensors to robot controllers?

  1. signal
  2. temperature
  3. feedback
  4. pressure
  

Question 624 :
Make Computers As They Can Solve Problems Like Humans And Think Like Humans Is

  1. Challege Of Nlp
  2. Disadvantage Of Nlp
  3. Stage Of Nlp
  4. Knowledge Of Nlp
  

Question 625 :
Semantics: ___ meaning,Pragmatics: ___ meaning

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

Question 626 :
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 627 :
For e.g. sentence is Park the car. POS for words in sentences park: Noun, Verb. the: Determiner. car: Noun. How many hidden state sequences are possible

  1. 4
  2. 8
  3. 7
  4. 2
  

Question 628 :
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 629 :
How conditional probability rewrite in language model? P(B | A) =P(A, B) / P(A)

  1. P(A, B) = P(A) P(B | A)
  2. P(A, B) = P(A) P(A | B)
  3. P(A, B) = P(B) P(B | A)
  4. P(A) = P(A) P(B | A)
  

Question 630 :
How Many Different Lexemes Are There In The Following List?Man, Men, Girls , Girl , Mouse

  1. 2
  2. 3
  3. 1
  4. 4
  
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