Natural Language Processing (NLP) MCQ's

Question 361 :
Which are the consonants in a given string? 'SYZYGEO'

1. S, Z, G
2. Y, E
3. Y, O
4. S, Y, O, Z, G

Question 362 :
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. If we are using the Laplace smoothing, which of the following is PLaplace('fork')?

1. 15/350
2. 16/370
3. 30/350
4. 31/370

Question 363 :
An optimizer Compiler

1. Is optimized to occupy less space
2. Both of the mentioned
3. Optimize the code
4. None of the mentioned

Question 364 :
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 365 :
The english words through and threw are examples of____________

1. Automymy
2. Polysemy
3. Synonymy
4. Homophony

Question 366 :
What Is The Knowledge About Physical Situations Existing In The Surroundings At The Time Of Utterance?

1. Situational Context
2. Background Knowledge
3. Co-Textual Context
4. Operational Knowledge

Question 367 :
____ principle states that the meaning of the whole sentence is comprised of the meaning of its parts that is the meaning of the sentence can be composed from the meaning of its constituent words

1. hobs
2. porter
3. freg's
4. markov

Question 368 :
Which of the following will be POS Tagger output when the input sentence is They refuse to permit

1. [('They', 'PRP'), ('refuse', 'VBP'), ('to', 'TO'), ('permit', 'VB')]
2. [('They', 'NN'), ('refuse', 'VBP'), ('to', 'TO'), ('permit', 'VB')]
3. [('They', 'PRP'), ('refuse', 'NN'), ('to', 'TO'), ('permit', 'VB')]
4. [('They', 'PRP'), ('refuse', 'VBP'), ('to', 'PRP'), ('permit', 'VB')]

Question 369 :
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 370 :
In a relation between the entities the type and condition of the relation should be specified. That is called as______attribute.

1. Desciptive
2. Derived
3. Recursive
4. Relative

Question 371 :
Which of the following belongs to the open class group?

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

Question 372 :
X is a ........ of Y if it denotes a part of Y

1. Meronym
2. Hyponym
3. Hynonyms
4. Hypernyms

Question 373 :
Which of the following is/are the input(s) to k-means algorithm?

1. Number of clusters
2. Class labels
3. Distance metric
4. Number of centroids

Question 374 :
The words ‘there’ and ‘their’ causes which of the following type of ambiguity?

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

Question 375 :
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 376 :
To whether duck is a verb or a noun can be solved by ______

1. Part-of-speech tagging.
2. Lexical analysis
3. Semantic analysis
4. Pragmatic analysis

Question 377 :
Under-stemming can be interpreted as __________.

1. False-Positives
2. False-Negative
3. True-Positive
4. True-Negative

Question 378 :
____________ interpretation is done by adding context-dependant information

1. Semantic
2. Pragmatic
3. Syntactic
4. Word level Analysis

Question 379 :
..............ambiguity refers to a situation where the context of a phrase gives it multiple interpretation

1. Pragmatic
2. Anaphoric
3. Discourse
4. Cataphoric

Question 380 :
What Is Viewed As Problem Of Probabilistic Inference?

1. Speech Recognition
2. Speaking
3. Hearing
4. Utterance

Question 381 :
It is not part of text summarization on the basis of purpose

1. Generic
2. Domain-specific
3. Query based
4. Single document

Question 382 :
Choose from the following where NLP is not being useful.

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

Question 383 :
Parts-of-Speech tagging Does not determine ___________

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
4. all part-of-speech for a specific stem from input

Question 384 :
In Nlp, Context Modeling Is Supported With Which One Of The Following Word Embeddings

1. Word2Vec
2. Glove
3. Bert
4. Spelling Correction

Question 385 :
Where does the Hidden Markov Model is used?

1. Speech recognition
2. Understanding of real world
3. Both Speech recognition - Understanding of real world
4. Understanding of real world images

Question 386 :
How given sentence represented using Bigram model? 'I want to eat Indian food'

1. {(I, want), (want, to), (to, eat), (eat, Indian),(Indian, food)}
2. {(I ), (want, to), (to, eat), (eat, Indian),(Indian, food),(food, I)}
3. {(I, want, to), (want, to, eat), (to, eat, Indian), (eat, Indian, food)}
4. {(I), (want), (to), (eat), (Indian), (food)}

Question 387 :
Which of the following is merits of Context-Free Grammar?

1. simplest style of grammar
2. They are highly precise.
3. High speed
4. efficiency

Question 388 :
Anita has got the transcripts for the Minster's press meet on NEP. She wants to summarize the Minister’s opinion on NEP strengths and weakness. Which of the following sumamrization methods should she apply?

1. Abstractive generic
2. Extractive generic
3. Abstractive query focussed
4. Summative generic

Question 389 :
Which one of the following models can not perform text classification

1. Naive Bayes
2. SVM
3. K-means
4. OLAP

Question 390 :
Perfect homonyms create problems in ..............

1. Text Recognition
2. Information Retrieval
3. Text classification
4. Speech Recognition