Natural Language Processing (NLP) MCQ's

Question 331 :
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 332 :
What is function of Sequence classfier(HMM)?

1. Assign some label or class to each unit in a sequence.
2. Aassign part of speech to sequence.
3. Find probability
4. Calculate likelihood.

Question 333 :
Deciding Insurance premium of a car based on online customers reviews is an application of ______________________.

1. Information Retrival
2. Information Extraction
3. Sentiment Analysis
4. Text Summarization

Question 334 :
In Semantic Analysis word embedding is used to _______

1. Classify ambiguity in sentence
2. Convert text data to numeric vector
3. Feature Selection
4. Feature Reduction

Question 335 :
Semantic analysis doesn’t consist

1. NER
2. WSD
3. NLG
4. IP

Question 336 :
NLP Stands for.

1. Natural Language Protocol
2. Natural Lingual Protocol
3. Natural Lingual Processing
4. Natural Language Processing

Question 337 :
Which Of The Text Parsing Techniques Can Be Used For Noun Phrase Detection, Verb Phrase Detection, Subject Detection, And Object Detection In Nlp.

1. Part Of Speech Tagging
2. Skip Gram And N-Gram Extraction
3. Continuous Bag Of Words
4. Dependency Parsing And Constituency Parsing

Question 338 :
In text mining, how the words ‘lovely’ is converted to ‘love’-

1. By stemming
2. By tokenization
3. By lemmatization
4. By rooting

Question 339 :
Number of states require to accept string ends with 10.

1. 3
2. 2
3. 1
4. can’t be represented.

Question 340 :
Which Of The Following Is Used To Mapping Sentence Plan Into Sentence Structure?

1. Text Planning
2. Sentence Planning
3. Text Realization
4. Stemming

Question 341 :
Consider the following given sentences. Match the lexical relations between the first word (w​1​) to the second word (w​2​) i.e. w​1​ is a of w​2. * Invention of the wheel​ is one of the landmarks in the history of mankind. * Companies are trying to make driverless car. * Golden daffodils​ are fluttering and dancing in the breeze. * Mumbai has unique flower ​park. 1. Holonym __> i.wheel-car 2. Hyponym __> ii. car-wheel 3. Meryonym __> iii. daffodils-flower 4. Hypernym __> iv. flower- daffodils

1. 1-iii, 2-ii, 3-iv, 4-i
2. 1-ii, 2-iii, 3-i, 4-iv
3. 1-ii, 2-iii, 3-iv, 4-i
4. 1-i, 2-ii, 3-iii, 4-iv

Question 342 :
How to use WordNet to measure semantic relatedness between words:

1. Measure the shortest path between two words on WordNet
2. Count the number of shared parent nodes
3. Measure the difference between their depths in WordNet
4. Measure the difference between the size of child nodes they have.

Question 343 :
Which Mt Systems Involve Low Computational Costs And Can Be Extended Easily?

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

Question 344 :
Closed classes of POS are those with relatively fixed membership

1. Yes
2. No
3. Cannot Say
4. May be yes

Question 345 :
Which semantic relation exists between the wordspiece and peace?

1. Homophony
2. Homonymy
3. Hypernymy
4. Meronymy

Question 346 :
Tubers is a hyponym of ____

1. Potatoes
2. Carrots
3. Roots
4. Vegetables

Question 347 :
According to Austin, speech acts are direct when

1. the locutionary and perlocutionary acts coincide
2. the locutionary and illocutionary acts coincide
3. When no act coincide
4. the illocutionary and perlocutionary acts coincide

Question 348 :
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 349 :
Given a set of unigram and bigram probabilities, what is the probability of the following sequence ‘ do Sam I like’ according to the bigram language model? P(do|) = 2/11, P(do|Sam) = 1/11, P(Sam|) = 4/11, P(Sam|do) = 1/8, P(I|Sam) = 4/11, P(Sam|I) = 2/9, P(I|do) = 2/8, P(I|like) = 2/7, P(like|I) = 3/11, P(do) = 3/8, P(Sam) = 2/11, P(I) = 4/11, P(like) = 5/11