03rd
Feb
NLP MCQ

NLP MCQ

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  • 03rd Feb, 2023
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Take NLP MCQ Quiz & Online Test to Test Your Knowledge

Practice below the best NLP MCQ Questions test that checks your basic knowledge of NLP (Natural Language Processing). This NLP MCQ Test contains 25+ NLP Multiple Choice Questions. You have to select the right answer to every question to check your final preparation for your interview. apart from this, you can download the NLP MCQ PDF below completely free.

NLP MCQ Quiz

1) NLP stands for Natural Language Processing.

  • A. true
  • B.false

2) NLP is concerned with the interactions between computers and human (natural) languages.

  • A. Yes
  • B.No
  • C.Not Sure

3) The following areas where NLP can be useful -

  • A. Automatic Text Summarization
  • B.Information Retrieval
  • C.Automatic Question-Answering Systems
  • D.All of the Above

4) Machine Translation is that converts -

  • A. Human language to machine language
  • B.One human language to another
  • C.Any human language to English
  • D.Machine language to human language

5) Which of the following is the field of Natural Language Processing (NLP)?

  • A. Computer Science
  • B.Artificial Intelligence
  • C.Computational linguistics
  • D.All of the above
Download Free : NLP MCQ PDF

6) What is Natural Language Processing good for?

  • A. Summarize blocks of text
  • B.Automatically generate keyword tags
  • C.Identify the type of entity extracted
  • D.All of the above

7) You can build a machine learning RSS reader in less than 30-minutes using -

  • A. ScrapeRSS
  • B.Html2Text & AutoTag
  • C.Sentiment Analysis
  • D.All of the mentioned

8) Natural Language Processing (NLP) is the field of

  • A. Artificial Intelligence
  • B.Computer Science
  • C.Linguistics
  • D.All of the above

9) NLP is concerned with the interactions between computers and human (natural) languages.

  • A. True
  • B.False

10) One of the main challenge/s of NLP Is _________________ .

  • A. Handling Tokenization
  • B.Handling Ambiguity of Sentences
  • C.Handling POS-Tagging
  • D.All of the above

11) Choose form the following areas where NLP can be useful.

  • A. Automatic Text Summarization
  • B.Automatic Question-Answering Systems
  • C.Information Retrieval
  • D.All of the above

12) Coreference Resolution is -

  • A. Anaphora Resolution
  • B.Given a sentence or larger chunk of text, determine which words (“mentions”) refer to the same objects (“entities”)
  • C.Both a & b
  • D.None of the above

13) Morphological Segmentation

  • A. Is an extension of propositional logic
  • B.Does Discourse Analysis
  • C.Separate words into individual morphemes and identify the class of the morphemes
  • D.None of the mentioned

14) In linguistic morphology, _____________ is the process for reducing inflected words to their root form.

  • A. Stemming
  • B.Rooting
  • C.Text-Proofing
  • D.Both a & b

15) What is the name for information sent from robot sensors to robot controllers?

  • A. pressure
  • B.temperature
  • C.feedback
  • D.None of the above

16) What is the name for the space inside which a robot unit operates?

  • A. spatial base
  • B.danger zone
  • C.environment
  • D.work envelop

17) Which is used to extract solution directly from the planning graph?

  • A. Hill-climbing search
  • B.Planning algorithm
  • C.Graphplan
  • D.None of the above

18) What is the starting level of planning graph?

  • A. Level 0
  • B.Level 1
  • C.Level 2
  • D.Level 3

19) Seymour Papert of the MIT AI lab created a programming environment for children called -

  • A. MYCIN
  • B.LOGO
  • C.FORTRAN
  • D.BASIC

20) Natural language processing is divided into the two subfields of -

  • A. symbolic and numeric
  • B.algorithmic and heuristic
  • C.time and motion
  • D.understanding and generation

21) The natural language is also known as .....................

  • A. 3rd Generation language
  • B.4th Generation language
  • C.5th Generation language
  • D.6th Generation language

22) All of the following are challenges associated with natural language processing except

  • A. dividing up a text into individual words in English.
  • B.understanding the context in which something is said.
  • C.recognizing typographical or grammatical errors in texts
  • D.distinguishing between words that have more than one meaning.

23) Natural language processing (nlp) is associated with which of the following areas?

  • A. text mining
  • B.artificial intelligence
  • C.computational linguistics
  • D.All of the above

24) One example of a natural language programming software program used with the iphone is called siri.

  • A. True
  • B.False

25) What is the main challenges of NLP?

  • A. Handling Tokenization
  • B.Handling POS-Tagging
  • C.Handling Ambiguity of Sentences
  • D.None of the above

26) What is the main challenges of NLP?

  • A. Handling POS-Tagging
  • B.Handling Tokenization
  • C.Handling Ambiguity of Sentences
  • D.None of the above

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