NLP Natural Language Processing MCQ's

Question 481 :
What is tokenization?

1. Breaking sentences into words
2. Creating a set of dictonories
3. Removing repetation
4. printing words

Question 482 :
Word segmentation is mostly used when

1. Hyphens are present
2. Multiple alphabets intermingled
3. Long sentences
4. No space between words

Question 483 :
The words ‘there’ and ‘their’ causes which of the following type of ambiguity?

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

Question 484 :
when two or more different (written) forms have the same pronunciation (bare/bear)

1. hyponymy
2. hyponym
3. homonyms
4. homophones

Question 485 :
What is the right order for a text classification model components 1. Text cleaning 2. Text annotation 3. Gradient descent 4. Model tuning 5. Text to predictors

1. 12345
2. 13425
3. 12534
4. 13452

Question 486 :
Which type of ambiguity is present in the sentence Old men and women were taken to safe locations?

1. Attachment ambiguity
2. Scope Ambiguity
3. Discourse ambiguity
4. Semantics Ambiguity

Question 487 :
is used to remove the suffixes from an English word and obtain its stem which becomes very useful in the field of Information Retrieval (IR).

1. HMM Stemmer
2. Porter Stemmer
3. Markov Stemmer
4. Bert Stemmer

Question 488 :
Which of the following best describes grammar induction?

1. Supervised learning problem
2. Maximum-A-Posteriori (MAP) estimation problem
3. Conditional Random Field problem and Unsupervised learning problem
4. Reinforcement Learning

Question 489 :
Singular: Fish, Plural : Fish. Singular: Goose, Plural : Geese. Which rules are applied

1. Orthographic rule
2. NLP rules
3. Semantic rules
4. Morphological rule

Question 490 :
Polysemy is a Greek word, which means

1. Many names
2. Many signs
3. Many meanings
4. Many verbs

Question 491 :
Two words with very closely related meanings

1. Antonyms
2. Homonyms
3. Synonyms
4. Hyponymy

Question 492 :
Spam email detection comes under which domain?

1. Text Categorization
2. NER
3. Text Classification
4. Sentiment Analysis

Question 493 :
Main reason for tokenization

1. It is simplest process
2. Processing on word can be easily performed
3. Almost all algorithms of tokenization executes in polynomial time
4. Readymade program are available in various programming language

Question 494 :
Which Is The Type Of Morphology That Changes The Word Category And Affects The Meaning

1. Inflectional
2. Derivational
3. Cliticization
4. Rational

Question 495 :
_________are based on the analysis of large volumes of bilingual text

1. Rules Based Machine Translation
2. Statistical MachineTransaltion
3. Hybrid Machine Translation
4. Neural Machine Translation.

Question 496 :
instead of thinking of words as containers of meaning, we look at the roles they fulfill within the situation described by a sentence

1. semantic roles (thematic roles)
2. semantic features
3. Semantic roles
4. semantically; syntactically

Question 497 :
Suppose we want to calculate a probability for the sequence of observations {‘Dry’,’Rain’}. If the following are the possible hidden state sequences, then P(‘Dry’,‘Rain’) = ______. Transition probabilities: P(‘Low’|‘Low’)=0.3 , P(‘High’|‘Low’)=0.7 P(‘Low’|‘High’)=0.2, P(‘High’|‘High’)=0.8 • Observation probabilities : P(‘Rain’|‘Low’)=0.6 , P(‘Dry’|‘Low’)=0.4 P(‘Rain’|‘High’)=0.4 , P(‘Dry’|‘High’)=0.3 • Initial probabilities: P(‘Low’)=0.4 , P(‘High’)=0.6

1. 0.1748
2. 0.2004
3. 0.1208
4. 0.2438

Question 498 :
The Area Of Ai That Investigates Methods Of Facilitating Communication Between People And Computers Is:

1. Natural Language Processing
2. Symbolic Processing
3. Decision Support
4. Robotics

Question 499 :
Which statement is true

1. Rule based methods are language independent
2. Stochastic methods are language independent
3. It is highly complex task to resolve ambiguities especially at lower levels of NLP
4. Disambiguation task are is more challenging in Resourceful language as compared to Resourceless language

Question 500 :
Famous Tag set for English

1. Penn Treebank
2. OXFORD ENGLISH CORPUS PART-OF-SPEECH TAGSET
3. ENGLISH CLAWS PART-OF-SPEECH TAGSET
4. NLTK

Question 501 :
____ concerns how the immediately preceding sentences affect the interpretation of the next sentence

1. Pragmatics
2. Syntax
3. Discourse
4. Semantics

Question 502 :
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 503 :
X is a ........ of Y if it denotes a part of Y

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

Question 504 :
What is full form of NLP?

1. Natural Language Processing
2. Natural Language Procedure
3. Natural Language Process
4. Natural Language pages

Question 505 :
_____________ is not a module in question answering system

1. Question Analysis
2. Answer Selection
3. Sentiment Analysis
4. Information Retrieval

Question 506 :
In a HMM, the possible state transitions are from state JJ to states NN, VB, JJ and RB. Following are the known state transitions probabilities; P(NN|JJ) = 1/4. P(VB|JJ) = 1/6, and P(JJ|JJ) = 1/3. What is the transition probability value of P(RB|JJ)?

1. 43834
2. 43832
3. 43835
4. 43833

Question 507 :
Beverage = coffee - tea - shake, is example of ______

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

Question 508 :
The word bank can be (river bank or financial institution) it denotes

1. Antonymy
2. Polysemy
3. Homonyms
4. Synonymy

Question 509 :
which one of the following is not Tools/Techniques that can be used with sentiment analysis

1. SentiWordNet
2. Latent semantic analysis
3. Latent semantic analysis
4. Abstractive analysis

Question 510 :
The relatedness of polysemy is essentially based on similarity. ___ is using one to refer to the other.

1. Synonyms
2. Metonymy
3. Antonyms
4. Hyponym