Natural Language Processing (NLP) MCQ's




Question 91 :
I Saw The Boy With A Pony Tail , What Type Of Ambiguity Does Sentence Have

  1. Semantic Ambiguity
  2. Pragmetic Ambiguity
  3. Structured Ambiguity
  4. Simplex
  

Question 92 :
Divide the word truthfulness into base form + morphemes will give the output as

  1. truthful-ness
  2. truth-ful-ness
  3. truth-fulness
  4. truthfulness
  

Question 93 :
Which Application Of Nlp Deals With Mapping Of Acoustic Speech Signal To A Set Of Words

  1. Speech Recognition
  2. Machine Translation
  3. Speech Synthesis
  4. Information Retrieval
  

Question 94 :
Given A Sentence S=W1 W2 W3 … Wn, To Compute The Likelihood Of S Using A Bigram Model. How Would You Compute The Likelihood Of S?

  1. Calculate The Conditional Probability Of Each Word In The Sentence Given The Preceding Word And Add The Resulting Numbers
  2. Calculate The Conditional Probability Of Each Word In The Sentence Given The Preceding Word And Multiply The Resulting Numbers
  3. Calculate The Conditional Probability Of Each Word Given All Preceding Words In A Sentence And Add The Resulting Numbers
  4. Calculate The Conditional Probability Of Each Word Given All Preceding Words In A Sentence And Multiply The Resulting Numbers
  

Question 95 :
This type of automata maps between two sets of symbols.

  1. DFA
  2. Turing Machine
  3. FST
  4. NFA
  

Question 96 :
In which class, new words are added all the time

  1. Open class
  2. Closed class
  3. Tree bank
  4. WSD
  

Question 97 :
What is a meaning of Morphology?

  1. The study of word format
  2. The study of sentence format
  3. The study of syntax of sentence
  4. The study of semantics of sentence.
  

Question 98 :
What is morphology?

  1. The study of the rules governing the sounds that form words
  2. The study of the rules governing sentence formation
  3. The study of the rules governing word formation
  4. The study of the rules governing sounds
  

Question 99 :
Linear sequnces of words are transformed into structure that show how the words are related to each other is the part of _____ Analysis.

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

Question 100 :
___________ can also specify the results of processes described by utterances in a discourse.

  1. Pronouns
  2. demonstratives
  3. generics
  4. inferrables
  

Question 101 :
It is not step of text summarization.

  1. Convert the paragraph into sentences
  2. Text processing
  3. Evaluate the weighted occurrence frequency of the words
  4. Categorization
  

Question 102 :
A context free language is called ambiguous if _________

  1. It has 2 or more left derivations for some terminal string ѡ є L (G)
  2. It has 2 or more right derivations for some terminal string ѡ є L (G)
  3. It has 2 or more left - right derivations for some terminal string ѡ є L (G)
  4. It has 3 or more left - right derivations for some terminal string ѡ є L (G)
  

Question 103 :
History of Natural Language Processing does not include

  1. Automata Theory
  2. Compression Algorithms
  3. CFG by Chomsky
  4. Predicate and First Order Logic
  

Question 104 :
Which data is used to use supervised approach for Machine translation

  1. Plain text
  2. Labelled text
  3. Dictionary
  4. Vectors
  

Question 105 :
Which of the options is not a NLP application?

  1. Sentiment analysis
  2. Translation from English to French
  3. Translation from C++ to Java
  4. Named entity recognition
  

Question 106 :
essential to the study of language acquisition; important for understanding language in social contexts (varieties of English, effects on style)

  1. semantics
  2. location
  3. Semantic roles
  4. homonyms
  

Question 107 :
Which of the following computer language is used for artificial intelligence?

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

Question 108 :
The ratio of observed frequency of a particular sequence to the observed frequency of a prefix is:

  1. Normalized Frequency
  2. Relative Frequency
  3. Maximum Likelihood Estimation
  4. Markov Frequency
  

Question 109 :
Assume a corpus with 350 tokens in it. We have 20 word types in that corpus (V = 20). The frequency (unigram count) of word types 'short' and 'fork' are 25 and 15 respectively. Which of the following is the probability of 'short' (PMLE('short'))?

  1. 25/350
  2. 26/370
  3. 26/350
  4. 25/370
  

Question 110 :
___: How we put words together,___ : word meanings, ___ : speaker meaning

  1. Syntax,semantics,pragmatics
  2. Semantics,syntax,pragmatics
  3. Semantics,syntax,pragmatics
  4. Social; academic, semantic
  

Question 111 :
Choose form the following areas where NLP can be useful.

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

Question 112 :
Distance measure used to calculate semantic similarity between words is ____

  1. Cosine Similarity
  2. Manhattan Distance
  3. Euclidean Distance
  4. Levenshtein Distance
  

Question 113 :
The list of web pages that a web crawler has queued up to index is called the:

  1. Web Page Queue
  2. Seed set
  3. URL Filter
  4. URL Frontier
  

Question 114 :
How to compute probability of a sentence or sequence of sentence in N-gram model?

  1. P(W) = P(W1,W2, W3,…, Wn)
  2. P(W) = P(Wn+1|Wn-1)
  3. P(W) = P(Wn-1| Wn+1)
  4. P(W) = P(Wn+1 | Wn)
  

Question 115 :
Trains two independent LSTM language model left to right and right to left and shallowly concatenates them

  1. GPT
  2. BERT
  3. ULMFit
  4. ELMo
  

Question 116 :
Lexical semantics deals with_________

  1. Meaning of word
  2. internal structure of words
  3. relationship between the words
  4. All a,b,c
  

Question 117 :
Which of the follwing is an appication of NLP?

  1. Summarizing a text or article
  2. Designing mobile computing
  3. front page designing
  4. Database designing
  

Question 118 :
What Will Be The Perplexity Value If You Calculate The Perplexity Of An Unsmoothed Language Model On A Test Corpus With Unseen Words?

  1. Zero
  2. Infinity
  3. Any Non-Zero Value
  4. Inefficient
  

Question 119 :
Which python library use to implement natural language processing?

  1. NLTK
  2. Scrapy
  3. Matplotlib
  4. Pydot
  

Question 120 :
1.The Tank Was Full Of Water.. I Saw The Military Tank.Here Tank Is Used In Different Context, Which Type Of Ambiguity Is This?

  1. Semantic Ambiguity
  2. Syntactic Ambiguity
  3. Anaphoric Ambiguity
  4. Syntactical Ambiguity
  
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