Question 1 :
Which algorithm is used to train HMM model?
- Early algorithm
- Lexk algorithm
- Forward-backward or Welch algorithm
- A centering algorithm
Question 2 :
Number,person,gender and case agreements are examples of which types of constraints on reference resolution?
- semantic
- lexical
- discourse
- syntactic
Question 3 :
Which is the correct order for preprocessing in Natural Language Processing?
- tokenization->stemming->lemmatization
- lemmatization->tokenization->stemming
- stemming->tokenization->lemmatization
- tokenization->lemmatization->stemming
Question 4 :
In the sentence, 'They bought a blue house ', the underlined part is an example of _____.
- Noun phrase
- Verb phrase
- Prepositional phrase
- Adverbial phrase
Question 5 :
Which is most common algorithm used in English language for Stemming?
- Partial stemmer
- Porter stemmer
- faster stemmer
- Regular stemmer
Question 6 :
What is morphology?
- The study of the rules governing the sounds that form words
- The study of the rules governing sentence formation
- The study of the rules governing word formation
- The study of the rules governing the sounds that form sentence
Question 7 :
A scheme where a weight is assigned to a term based upon the number of occurrences of the term within a document is called:
- Bag of Words
- Document Frequency
- Term Frequency
- Optimal weight
Question 8 :
Which Of The Following Model Is Used For Speech Recognition?
- Lemmatization Model
- Hidden Markov Model
- Finite State Transducers Model
- Grammer Model
Question 9 :
_________ Is The Type Of Morphology That Changes The Word Category And Affects The Meaning.
- Inflectional
- Derivational
- Cliticization
- Text-Proofing
Question 10 :
What is Machine Translation?
- Converts one human language to another
- Converts human language to machine language
- Converts any human language to English
- Converts Machine language to human language
Question 11 :
What is output of Morhological analysis for the input word 'mice'?
- mice N SG
- mouse N SG
- mouse N PL
- mice N PL
Question 12 :
While Working With Text Data Obtained From News Sentences, Which Are Structured In Nature, Which Of The Grammar-Based Text Parsing Techniques Can Be Used For Noun Phrase Detection, Verb Phrase Detection, Subject Detection And Object Detection.
- Part Of Speech Tagging
- Dependency Parsing And Constituency Parsing
- Skip Gram And N-Gram Extraction
- Continuous Bag Of Words
Question 13 :
The input/output of a NLP system cannot be:
- Sentence
- Speech
- 3D Model
- Document
Question 14 :
The word 'Putting' is handle and clean up by which stemming rule? 'Putting ® Put'
- {(X) –ing ® ϵ} and {__CC® C}
- {(X) –eed ® -ee} and {-at ® -ate}
- {(X) –ing ® -ing}
- {(X) –C1VC2 ® C1VC2e}
Question 15 :
Which of the following is a kind of text summarization?
- Topic-based summarization
- Extraction-based summarization
- History-based summarization
- Summarizing a text or article
Question 16 :
Which of the following is the example of surface segmentation?
- Achievability = achievabil + ity
- Achievability = achiev + ability
- Achievability = Achieve + able + ity
- Achievability = achiev + abil + ity
Question 17 :
How Many Steps Of Nlp Is There?
- Three
- Four
- Five
- Six
Question 18 :
when two or more different (written) forms have the same pronunciation (bare/bear)
- hyponymy
- hyponym
- homonyms
- homophones
Question 19 :
How many bi-grams can be generated from given sentence:'Analytics Vidhya is a great source to learn data science'
- 7
- 8
- 9
- 10
Question 20 :
The tour includes three Asian countries. Which is a noun phrase?
- The tour includes
- three Asian countries
- Three asian
- Tour includes
Question 21 :
What is the single morpheme of word Boxes?
- Box
- Boxes
- Boxses
- Boxing
Question 22 :
which model is used for statistical machine translation
- Probabilistic model
- Entropy model
- FST
- Rule based model
Question 23 :
Which Data Structure Is Used To Give Better Heuristic Estimates?
- Forwards State-Space
- Backward State-Space
- Planning Graph
- Planning Graph Algorithm
Question 24 :
Features that are used to represent the abstract letter pattern of the word by mapping lower-case letters to ‘x’, upper-case to ‘X’, numbers to ’d’, and retaining punctuation are called as: (For example I.M.F would map to X.X.X. and DC10-30 would map to XXdd-dd)
- Acronym
- X-maps
- Word Shape
- Word Mapper
Question 25 :
The Boy Said To Girl , Call Me A Cab, Girl Said Ok You Are A Cab!,Which Type Of Ambiguity Do You Experience In Thi
- Syntactic Ambiguity
- Semantic Ambiguity
- Anaphoric Ambiguity
- Disclosure Ambiguity
Question 26 :
A model of information retrieval in which we can pose any query in which search terms are combined with the operators AND, OR, and NOT:
- Ad Hoc Retrieval
- Ranked Retrieval Model
- Boolean Information Model
- Proximity Query Model
Question 27 :
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
- 4
- 8
- 7
- 2
Question 28 :
Humhe khaanna khaanna hai. Here the type of ambiguity is
- Phonetic
- Lexical
- Structural
- Semantic
Question 29 :
Same Word Can Have Multiple Word Embeddings Possible With ____________?
- Glove
- Word2Vec
- Elmo
- Nltk
Question 30 :
In English language derivational morphemes can be.
- Prefixes,infixes and sufixes
- Prefixes and sufixes
- Prefixes only.
- Sufixes only